Name: using fluorescence activated cell sorting to examine cell-type-specific gene expression in rat brain tissue
Uploaded: 2015-05-28T14:00:00.000+00:00
Duration: 8 min 37 s
Description: Watch this Scientific Journal Video about Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue at JoVE.com

The authors would like to acknowledge Lynn Opdenaker at the University of Delaware Center for Translational Research at the Helen F. Graham Cancer Center for technical assistance, as well as Nancy Martin from the Duke University Cancer Institute Flow Cytometry Shared Resource, and Dr. Susan H. Smith for guidance in methods and data collection.

1. Preparation for Tissue Collection (15 &#8211; 30 min)
<ol>
	<li>Fire polish three sets of glass Pasteur pipettes in decreasing diameters and number them &#8220;1&#8221; = approximately 1 mm diameter, &#8220;2&#8221; = approximately 0.75 mm diameter, and &#8220;3&#8221; = approximately 0.50 mm diameter.</li>
	<li>Resuspend lyophilized Enzyme A with all of Buffer A according to the protocol provided with the Neural Dissociation Kit (see Table of Materials). Do not vortex. Aliquot the solution into 50 &#181;l&#160;aliquots and store at -20 &#186;C for later use.</li>
	<li>Make 1 L of myelin removal buffer and vacuum filter for sterilization [myelin removal buffer = 1,000 ml of 0.1 M phosphate-buffered saline (PBS), 2 ml of 500 mM Ethylenediaminetetraacetic acid (EDTA), and 10 g of Bovine Serum Albumin (BSA)].</li>
	<li>Cut nylon mesh sheet into small 1&#160; x 1 inch (2.5 x 2.5 cm) squares that will be used for filtering cellular debris and autoclave in a small beaker covered with aluminum foil.</li>
	<li>Prepare 1 L of wash buffer [wash buffer = 1,000 ml of 0.1 M PBS, 2 ml of 500 mM EDTA, and 10 g BSA].</li>
</ol>
2. Tissue Collection
<ol>
	<li>Turn on water bath to 37 &#186;C.</li>
	<li>Prepare Buffer X from the Neural Dissociation Kit by adding beta-mercaptoethanol to Buffer X to a final concentration of 0.067 mM (for 4 samples, add 13.5 &#181;l of 50 mM beta-mercaptoethanol to 10 ml of Buffer X).</li>
	<li>Prepare Enzyme Mix 1 by mixing 50 &#181;l of Enzyme P with 1,900 &#181;l of Buffer X for each sample as described in the protocol for the Neural Dissociation Kit For Example, for 4 samples, mix 200 &#181;l of Enzyme P with 7,600 &#181;l of Buffer X.</li>
	<li>Place Buffer X in the water bath at 37 &#186;C.</li>
	<li>Place 2 ml of cold Hank&#8217;s Buffered Salt Solution (HBSS) (without Ca++ and Mg++) into one well of a sterile 6-well culture plate for each sample that will be collected and keep on ice for tissue dissection.</li>
</ol>
3. Tissue Dissection (45 min &#8211; 1 hr)
<ol>
	<li>Inject the animal with appropriate volume of euthanasia solution (commercial barbiturate solution, e.g., Euthasol), according to Institutional Animal Care and Use Committee (IACUC) guidelines, and perfuse out all blood with cold 0.9% saline solution.
	<ol>
		<li>Administer Rats with an overdose of euthanasia solution.</li>
		<li>Monitor anesthesia via breathing and via toe-pinch. When the animal is sufficiently anesthetized (no response to the toe-pinch and deep, slow breathing), the rat can be perfused.</li>
		<li>To perfuse the rat, cut the chest cavity open with a pair of heavy-duty scissors. Cut the diaphragm to allow access up to the heart. Cut the ribs along both sides up to towards the top of the chest, to allow full access to the heart. At that point, the rib cage can be held off to the side using a pair of hemostats.</li>
		<li>Perform cardiac perfusion by inserting an 18 G needle (for adult rats) attached to an electric pump into the left ventricle of the heart. The pump is drawing up cold 0.9% saline solution.</li>
		<li>Then cut open the right atrium with a small pair of scissors to allow for the blood and liquid perfusate to drain from the body.</li>
		<li>Perfuse rats with approximately 10 ml (for adult rats) of 0.9% saline to remove all peripheral immune cells and factors.</li>
	</ol>
	</li>
	<li>Dissect the desired part of the brain region using sterile razor blades and appropriate dissection, then place the tissue pieces into the cold HBSS without Ca2+ and Mg2+. 
	NOTE: The protocol requires HBSS without Ca2+ and Mg2+ in the early steps of the protocol as these ions may interfere with the enzymes required for neural dissociation.</li>
	<li>After all tissue samples have been collected, return to the clean bench or sterile culture hood for tissue processing.</li>
</ol>
4. Neural Dissociation (1 hr)
<ol>
	<li>Dice each tissue sample into small pieces using sterile razor blades on the lid of the 6-well culture plate. This protocol has been used for tissue samples of approximately 30 - 100 mg, but is approved for tissue samples of up to 400 mg. For tissue samples larger than 400 mg, the reagent volumes must be scaled up appropriately.</li>
	<li>Use 1 ml of fresh HBSS without Ca2+ and Mg2+ to transfer the diced pieces of tissue with a pipette into a sterile 2 ml centrifuge tube. Repeat steps 4.1 and 4.2 for all sample until all samples have been transferred into a 2ml centrifuge tube.</li>
	<li>Centrifuge the samples at 300 x g for 2 min at RT and aspirate supernatant.</li>
	<li>Add 1,900 &#181;l of warm Enzyme Mix 1, as prepared in Steps 2.2 and 2.3, to each sample and close the tubes.</li>
	<li>Incubate the samples for 15 min in the 37 &#186;C water bath, inverting the tubes several times every 5 min to re-suspend the settled pieces of tissue.</li>
	<li>Meanwhile, prepare Enzyme Mix 2 by mixing 20 &#181;l of Buffer Y with 10 &#181;l of thawed Enzyme A (for 4 samples, mix 80 &#181;l of Buffer Y with 40 &#181;l of thawed Enzyme A).</li>
	<li>Add 30 &#181;l of Enzyme Mix 2 to each sample and invert gently. Do not vortex.</li>
	<li>Dissociate each tissue sample with Pasteur pipette &#8220;1&#8221;, triturating up and down 30 times.</li>
	<li>Incubate the samples for 15 min in the 37 &#186;C water bath; invert the tubes several times every 5 min to re-suspend the settled pieces of tissue.</li>
	<li>Dissociate each tissue sample with Pasteur pipette &#8220;2&#8221;, triturating up and down 30 times. Avoid generating bubbles.</li>
	<li>Dissociate each tissue sample with Pasteur pipette &#8220;3&#8221;, triturating up and down 30 times. Avoid generating bubbles.</li>
	<li>Incubate the samples for 10 min in the 37 &#186;C water bath; invert the tubes several times every 5 min to re-suspend the settled cells.</li>
	<li>Apply single-cell suspension to an 80 micron cell strain placed on top of a 15 ml falcon tube to remove any large pieces of debris and wash the filter and cells with 10 ml of HBSS (with Ca2+ and Mg2+) to stop the enzyme reactions. Repeat until each sample is transferred into a clean 15 ml falcon tube.</li>
	<li>Centrifuge the samples at 300 x g for 10 min at RT and aspirate off the supernatant.</li>
</ol>
5. Myelin Depletion (45 min)
<ol>
	<li>Thoroughly re-suspend the pellet of cells with 400 &#181;l of myelin removal buffer.</li>
	<li>Add specified amount of the myelin removal beads and pipette up and down to thoroughly mix. 
	NOTE: The volume of myelin removal beads that is used will depend upon the size of the tissue, the age of the animal, and the amount of myelin expected in that particular brain region. e.g.,&#160;for an adult rat hippocampus sample (approximately 300 mg), incubate the sample with 100 &#181;l of myelin removal beads.
	
	</li>
	<li>Incubate for 15 min in the refrigerator at 4 &#186;C.</li>
	<li>Wash each sample with 5 ml of myelin removal buffer.</li>
	<li>Centrifuge the samples at 300 x g for 10 min at RT.</li>
	<li>While centrifuging the samples, place 1 column for each sample in the magnetic field of the magnetic sorter and place a clean 80 micron filter on top of each column.</li>
	<li>Prepare the columns and filter by rinsing each column with 1 ml of myelin removal buffer, 3 times (3 ml total). Collect all flow-through in a waste container such as the bottom of an empty tip box.</li>
	<li>Position 5 ml polystyrene round bottom tube directly underneath each column in preparation of sample collection.</li>
	<li>When cells have finished centrifugation, aspirate supernatant and thoroughly re-suspend in 500 &#181;l of myelin removal buffer. Immediately apply cell suspension to the column and collect the cells in the tube below.</li>
	<li>Wash the filter and column with 1 ml myelin removal buffer, 4 times (4 ml total).</li>
	<li>Centrifuge the cell collection at 300 x g for 10 min at RT.</li>
	<li>Aspirate the supernatant and the cells are now ready for staining.</li>
</ol>
6. Staining Live Cells for FACS (1 hr for staining)
<ol>
	<li>Briefly vortex (2 sec) the cells to separate the pellet and immediately add 5 &#181;l of Fc block (anti- clusters of differentiation 32, CD32), vortex again, and incubate in the refrigerator at 4 &#186;C for 5 min.</li>
	<li>Meanwhile, prepare the primary antibody mixture by adding the three primary antibodies in wash buffer as follows: 0.125 &#181;l of allophycocyanin (APC) -conjugated CD11b antibody (1:800), 1 &#181;l of anti-GLT1 antibody (1:100), and 0.4 &#181;l of Fluorescein isothiocyanate (FITC) &#8211; conjugated Thy1 antibody (1:250) for every 100 &#181;l of wash buffer. Each sample will receive 100 &#181;l of primary antibody mixture for incubation; however, if your sample is much larger than 400 mg of tissue, you may want to consider increasing the volume of your primary antibody mixture accordingly</li>
	<li>Prepare tubes for single staining controls by removing just 2 &#181;l of cells from each sample tube and adding it to each single stain control tube. The &#8220;single stain&#8221; controls include: APC-CD11b only, GLT1 only, FITC-Thy1 only, PE secondary antibody only, and the &#8220;blank&#8221; or unstained control. 
	NOTE: All samples should be represented in all staining controls, thus 2 &#181;l of cells from each sample should be added to each staining control tube.</li>
	<li>Briefly vortex the tubes (2 sec) and add 100 &#181;l of primary antibody mixture to each sample tube and 100 &#181;l of appropriate primary antibody to each staining control tube, vortex the tubes again, cover the tubes with aluminum foil to protect the fluorescent antibodies from any light, and incubate the tubes in the refrigerator at 4 &#186;C for 20 min. The samples should be kept cool (at 4 &#186;C) for the remainder of the procedure to maintain the integrity of the samples and the antibodies.</li>
	<li>Briefly vortex the tubes and add 2 ml of wash buffer to each tube.</li>
	<li>Centrifuge tubes at 350 x g for 5 min at 4 &#186;C.</li>
	<li>Meanwhile, prepare the secondary antibody mixture by adding 0.2 &#181;l of PE-conjugated anti-rabbit secondary antibody for every 100 &#181;l of wash buffer. Each sample will get 100 &#181;l of secondary antibody mixture; however, if your sample is much larger than 400 mg of tissue, you may want to consider increasing the volume of your primary antibody mixture accordingly.</li>
	<li>When the centrifugation is complete, dump the supernatant off of each sample into the sink and blot the tubes upside-down on a paper towel.</li>
	<li>Briefly vortex the tubes and add 100 &#181;l of secondary antibody mixture to each sample tube and the appropriate secondary antibody to each staining control, vortex the tubes again, cover the tubes with aluminum foil, and incubate the tubes in the refrigerator at 4 &#186;C for 15 min. 
	NOTE: The GLT1-only staining control tube should get the secondary antibody mixture.
	
	</li>
	<li>After the incubation, briefly vortex the tubes and add 2 ml of wash buffer to each tube.</li>
	<li>Centrifuge the tubes at 350 x g for 5 min at 4 &#186;C.</li>
	<li>When the centrifugation is complete, dump the supernatant off of each sample into the sink and blot the tubes upside-down on a paper towel.</li>
	<li>Vortex the tubes and add 0.25 ml of sterile PBS to each tube. The samples are ready for sorting. 
	NOTE: More cells may require 0.5 ml of sterile PBS; however it is best to begin with a lower volume as the sample can always be diluted if it is too concentrated with cells. 
	NOTE: Optionally add DNase to the tube to prevent clumping of the cells and thus clogging of the sorter. Samples can also be filtered using a sterile 80 micron filter just prior to sorting in order to avoid clogging the sorter.
	
	</li>
	<li>Take cells to the sorter on ice. Collect the cell populations in 2 ml nuclease-free centrifuge tubes with 0.5 ml of sterile PBS in each tube.</li>
	<li>After the sort, spin the cells down at 300 x g for 2 min at 4 &#186;C. Aspirate off most of the PBS and flash freeze the cells in the -80 &#186;C freezer until further processing for either RNA extraction (see 1 for further protocol details), DNA extraction (see 2 for further protocol details) or cell lysis for protein analysis.</li>
</ol>

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	<li>Schwarz, J. M., Smith, S. H., Bilbo, S. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=FACS+analysis+of+neuronal-glial+interactions+in+the+nucleus+accumbens+following+morphine+administration.">FACS analysis of neuronal-glial interactions in the nucleus accumbens following morphine administration.</a> Psychopharmacology. 230 (4), 525-535 (2013).</li><li>Schwarz, J. M., Hutchinson, M. R., Bilbo, S. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Early-life+experience+decreases+drug-induced+reinstatement+of+morphine+CPP+in+adulthood+via+microglial-specific+epigenetic+programming+of+anti-inflammatory+IL-10+expression.">Early-life experience decreases drug-induced reinstatement of morphine CPP in adulthood via microglial-specific epigenetic programming of anti-inflammatory IL-10 expression.</a> J Neurosci. 31 (49), 17835-1523 (2011).</li><li>Herzenberg, L. A., Tung, J., Moore, W. A., Herzenberg, L. A., Parks, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Interpreting+flow+cytometry+data:+a+guide+for+the+perplexed.">Interpreting flow cytometry data: a guide for the perplexed.</a> Nature Immunology. 7 (7), 681-685 (2006).</li><li>Guez-Barber, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=FACS+identifies+unique+cocaine-induced+gene+regulation+in+selectively+activated+adult+striatal+neurons.">FACS identifies unique cocaine-induced gene regulation in selectively activated adult striatal neurons.</a> J Neurosci. 31 (11), 4251-4259 (2011).</li><li>Fanous, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Unique+gene+alterations+are+induced+in+FACS-purified+Fos-positive+neurons+activated+during+cue-induced+relapse+to+heroin+seeking.">Unique gene alterations are induced in FACS-purified Fos-positive neurons activated during cue-induced relapse to heroin seeking.</a> J Neurochem. 124 (1), 100-108 (2013).</li><li>Liu, Q. R., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Detection+of+molecular+alterations+in+methamphetamine-activated+Fos-expressing+neurons+from+single+rat+dorsal+striatum+using+fluorescence-activated+cell+sorting+(FACS).">Detection of molecular alterations in methamphetamine-activated Fos-expressing neurons from single rat dorsal striatum using fluorescence-activated cell sorting (FACS).</a> J Neurochem. 128 (1), 173-185 (2013).</li><li>Guez-Barber, D., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=FACS+purification+of+immunolabeled+cell+types+from+adult+rat+brain.">FACS purification of immunolabeled cell types from adult rat brain.</a> J Neurosci Methods. 203 (1), 10-18 (2012).</li><li>Nolte, C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=GFAP+promoter-controlled+EGFP-expressing+transgenic+mice:+a+tool+to+visualize+astrocytes+and+astrogliosis+in+living+brain+tissue.">GFAP promoter-controlled EGFP-expressing transgenic mice: a tool to visualize astrocytes and astrogliosis in living brain tissue.</a> Glia. 33 (1), 72-86 (2000).</li><li>Okana, M., Bell, D. 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The authors declare that they have no competing financial interests.

Similar to many other tissues and systems, the brain is comprised of a heterogeneous cell population that functions together to impact behavior. The analysis of gene expression, protein expression, or epigenetic modifications from individual cells within that heterogeneous population has the potential to reveal information about the function of the system as a whole, to identify cellular processes regulating both normal behavior and disease processes, and to provide cell-type-specific targets for potential therapies. It is possible that in the future, modifying the function of a single cell type within the brain may unlock the key to successfully treating neurodegenerative or neuropsychiatric disorders in a more specific manner, reducing non-specific side effects caused by impacting multiple cell types. Thus a key focus of future neuroscience research must seek to understand the interactions of different cell types in the brain and how they influence behavior and disease states. The goal of the FACS technique described here is to rapidly isolate individual cell populations for subsequent analysis. It can also be modified to analyze more specific cell types depending upon the research of interest.
There are a few critical steps within the protocol that will help increase the successful yield of isolated neural cells using this technique. First, it should be mentioned that the protocol described above has been optimized for the isolation of individual cell types from fresh rat brain tissue. It is possible that many of these procedures could be used for the processing and isolation of individual cell types from previously frozen or fixed tissue, but the specifics of those procedures must be optimized. We have found that perfusing the blood from the neural tissue with cold physiological saline will help to decrease neural cell death, increase the specificity of the cells isolated, and thus the yield of sorted neural cells. While this portion of the protocol may not be a common technique for most neuroscientists, it will significantly help with the successful implementation of this particular protocol. In addition, if one would like to sort neural cells based on a protein that is also expressed by circulating blood cells, it is important to remove these circulating cells from the neural tissue prior to dissociation and staining so as to eliminate the potential confound of isolating both neural and peripheral blood cells. A second critical step is the thorough trituration of the neural tissue with the Pasteur pipettes numbered as 1, 2 and 3. While this may seem simple, it is important that this is done thoroughly in order to effectively separate clumps of neural cells for sorting. The trituration should be done vigorously enough to dissociate the cells, but should avoid generating excessive air bubbles, which can also kill delicate neural cells. If this step is not done well, it will be reflected at the cell sorter by an increase in the number of &#8220;doublets&#8221; or debris seen in the sort. This will also result in a decrease in cell yield, as the sorter will only sort individual, fully dissociated cells that are stained with the appropriate antibodies to maintain the purity of the sorting process. Choosing the proper antibodies for staining is also a critical step in the successful application of this protocol. In this particular protocol, neural cells were isolated from the adult rat brain using antibodies specific to rat CD11b, rat GLT1 and rat Thy1. Thus different antibodies would need to be used to isolate these same cells using these cell-type-specific markers for mouse, non-human primate, or human neural tissue. With the appropriate species-specific antibodies, this protocol should work well in other species. In addition to the species used in this protocol, age of the animal should also be considered in this protocol. The expression of many molecules, including CD11b, GLT1 and Thy1 may change dramatically across development. If a protein is expressed at low or non-existent levels in the developing brain, it should not be used as a target for isolating cells via FACS.. Finally, as mentioned previously, it would be ideal to have access to a cell sorter that is close in proximity to the lab in order to reduce the length of time needed to complete the procedure with these delicate living cells.
The sorting of the cells is dependent, to some extent, upon the machine that is used to sort the cells. In this example, we have used a FACS using FACS software to gate and sort the cells dependent upon the strength of their fluorescent staining. This machine is located at the Helen F. Graham Cancer Center affiliated with the University of Delaware. In a previous experiment, we used a High-Speed Sorter such as MoFlo, to perform these same exact experiments. This machine was located at the Duke Cancer Institute Flow Cytometry Core found on the campus of Duke University Medical campus. For comparison of the sorts produced by these two machines, please reference the following paper1. Based on the findings from the two machines, we have determined that the machine used for analysis can impact the number of cells detected, particularly if the laser is stronger on one machine than it is on another. This was, in fact, the case for the current experiment. In the current experiment, we were able to more easily detect FITC-Thy1+ neurons because the laser was significantly stronger on the FACS than the standard laser of the High-Speed Sorter used in previous experiments1. This increased the number of FITC-Thy1+ neurons obtained from one hippocampus from approximately 3,000-5,000 neurons isolated with the High-Speed Sorter to approximately 50,000 neurons isolated with the FACS.
In this particular example, RNA was extracted from the sorted cells for subsequent analysis of gene expression. The method for extracting RNA from sorted cells has been described in a previous paper1, but can be done using any established RNA extraction protocols or RNA extraction kits. Good quality RNA can be extracted from relatively few, very specific, populations of isolated cells6. In addition to extracting RNA, it is possible to extract DNA from these isolated cells. We have also extracted DNA for analysis of DNA methylation from isolated microglia in a separate paper 2; however, these cells were isolated using a density gradient method as opposed to FACS. Despite that, the isolation of individual cells was critical in finding significant effects of neonatal handling, increased maternal care, on DNA methylation. Specifically, we found that the anti-inflammatory gene Interleukin (IL)-10 was expressed at significantly elevated levels in the brain of neonatally handled rats than control rats. To determine whether this effect was the result of epigenetic modifications to the IL-10 gene, we first extracted DNA from whole tissue for a subsequent Methylated DNA Immunoprecipitation and analysis of the IL-10 gene; however, we found no significant effects of neonatal handling on IL-10 methylation from whole tissue. Next, we isolated microglia from the brains of neonatally handled and control rats before extracting the DNA and analyzing the IL-10 gene following a Methylated DNA Immunoprecipitation (MeDIP). The results of this cell-type-specific analysis revealed a significant effect of neonatal handling as expected 2, contrary to the results obtained using whole tissue analysis. In retrospect, this is perhaps not surprising given that these cells have different lineages and different functions. DNA methylation is an important process of cellular differentiation as certain genes are silenced and others are &#8220;turned on&#8221; 9, 10. Each cell type in the brain may have different epigenetic markers indicative of their lineage and their function 11-13, and thus it is critically important to analyze the epigenetic control of gene expression, neural function and behavior from individual cell types. FACS is a simple and effective technique to analyze these differences in a cell-type-specific manner. Finally, the isolated cells can also be used to analyze protein expression in a cell-type-specific manner. Many different cell types use similar signaling molecules for very different processes. For example, the transcription factor, Nuclear factor kappa B (NF-&#954;B), can alter neuronal morphology and behavior via its activation in the nucleus accumbens 14. NF-&#954;B is also expressed in immune cells and is a critical transcription factor for the induction of pro- and anti-inflammatory molecules (see 15 for review). Thus it is critical to examine factors such as these in a cell-type-specific manner in order to increase our understanding of the function of these important molecules in behavior and disease processes.
As mentioned, this procedure can also be used to isolate more specific cell types than just neurons, astrocytes, and microglia in general. When considering this, one should determine approximately how many cells in the brain are of a particular phenotype. For example, if one would like to isolate only serotonergic neurons, this is a more select subset of neurons and thus the experimenter may obtain fewer cells than the numbers obtained here. In this case, it may help to pool the neural tissue from two or three rats to obtain one sample and thus enough cells for subsequent analysis. If one would like to isolate cells that have serotonergic receptors, consider whether serotonergic receptors are found only on neurons or on astrocytes and microglia too. If they are localized to multiple cell types, it might be best to sort cells that stain positive for the serotonergic receptor of interest and one of the neural cell markers used in the example here to isolate, for example, only neurons (Thy1+) that contain serotonergic receptor if that is the endpoint of interest. This technique has also been used to sort neuronal nuclei, using an antibody for neuronal nuclei (NeuN), and glial nuclei, using an antibody for the Oligodendrocyte transcription factor (Oligo2), from whole brain tissue15. This, of course, requires the fixation and permeabilization of tissue so that the antibodies can access the nuclear proteins to which they can bind. It is possible to effectively analyze RNA from cells sorted using intracellular markers such as NeuN or Oligo2 (see References 4-6 for examples); however, the caveat of this process being that it only measures RNA that remains in the nucleus and given the harsh treatment of the cells with fixation and permeabilization, this process may result in only approximately 25% of the total amount of RNA that can typically be extracted from whole tissue16. Despite this potential caveat, sorting and analyzing gene expression from individual cells based on nuclear proteins is also an important and necessary technique for understanding the processes that regulate neural function on a per cell basis.
Overall the FACS procedure presented here is a very simple and effective way to isolate individual cell types for subsequent analysis. It requires very little specialized equipment in the lab, though it does require a good connection with a core flow cytometry facility; however, this technique can easily be implemented into any lab&#8217;s ongoing experiments.

The purpose of the protocol described below is to isolate individual cell types from a heterogeneous population of neural tissue for the subsequent analysis of cell-type-specific gene expression, protein expression, or even epigenetic markers. The brain is comprised of many cell types that are derived from distinct progenitor cells and that have cell-type-specific properties and functions. Despite these differences, these distinct neural cell types can express similar receptors and intracellular signaling molecules which make the analysis of these more ubiquitous proteins difficult to measure or interpret in a cell-type-specific manner using conventional methods. Neuroscientists must identify the function and activation of these distinct cell types in the brain and how they can individually impact behavior as this will ultimately be the first step to identifying more specific drugs and therapeutic targets for neurological and neuropsychiatric diseases. Despite this overarching goal of neuroscience research, it can been difficult to isolate individual neural cell types from the brain for the analysis of gene or protein expression, the activation of signaling molecules, or the modification of epigenetic markers on DNA. Of the techniques that are currently used, immunohistochemistry can identify the expression of proteins in a cell-type-specific manner when combined with additional staining of a cell-type-specific marker, though this relies on specific antibodies that can properly stain for the proteins of interest and it can be difficult to quantify. In situ hybridization can identify the specific localization of messenger ribonucleic acid (mRNA) in individual cells in the brain, but this is a laborious process that also limits the co-analysis of specific cell types and only allows for the analysis of one or maybe a few genes of interest. Laser capture micro-dissection uses a laser to isolate subpopulations of cells that are visualized via microscopy; however the time-consuming nature of this process and the relatively low yield can significantly limit the subsequent analysis of proteins or mRNA levels, particularly if the expression of these molecules is low to begin with. Fluorescence activated cell sorting (FACS) is a relatively novel technique in the field of neuroscience to isolate individual cell types from the brain for subsequent analysis of gene expression1 and/or epigenetic targets2. This process can also be used to sort specific types of neural cells for subsequent analysis of cell-type-specific gene expression, protein expression, or epigenetic markers. FACS has been used in a number of medical research fields such as cancer and immunology for decades to count and sort different cells based on either physical or biochemical characteristics3. In addition, flow cytometry has classically been used to analyze protein expression on a per cell basis, using specific antibodies. The procedure described below, takes advantage of classical flow cytometry techniques to isolate individual cell types for subsequent analysis of molecular biology endpoints. The flow cytometer can analyze several thousand cells in a second, which makes it a quick and efficient alternative to the techniques described above. In addition, cells can be isolated based on the cellular expression of a specific protein (for example a neurotransmitter receptor) or a combination of two or more proteins (colocalization of multiple proteins in a specific cell type). This allows the user to isolate very selective neural cell types based on their molecular properties to identify their function in the brain.
To perform FACS, neural cells are prepared into a single-cell suspension which is passed through a flow cell that carries and aligns the cells so that they pass single-file through a light beam and lasers for analysis. A computer acquires the data from each cell and plots it on a histogram for analysis of specified parameters (size, granularity, and fluorescence). Based on these parameters, the cells can immediately be sorted into separate tubes for their recollection and subsequent analysis of any endpoint desired. The protocol described below utilizes three antibodies to sort neurons (using a Thymocyte antigen 1, Thy1 antibody), astrocytes (using a glial glutamate transporter, GLT1 antibody), and microglia (using a cluster of differentiation molecule 11B, CD11b antibody). This protocol can be used as described below or modified with different antibodies depending on the cell type that one would like to isolate for his own experiments.
There are a few caveats to consider when determining whether this protocol is appropriate for specific experiments. One major caveat may concern the specific cell type that one would like to isolate. In this protocol, the three antibodies that are used are extracellular antibodies, which allow the experimenter to keep the cell types intact during the staining procedure, thus preserving the integrity of the RNA, DNA and proteins inside. It is possible that one may wish to isolate a specific neural cell type using an antibody that identifies a protein that is only expressed inside that particular cell. For example, one might want to isolate dopaminergic neurons using an antibody to tyrosine hydroxylase or isolate acetylcholine neurons using an antibody for choline acetyltransferase. These proteins are intracellular and thus would require fixation and permeabilization of the cell membrane for subsequent staining with the appropriate antibodies. While this has been done before 4,5, this process may significantly decrease the yield of RNA or DNA from these permeabilized cells. Another caveat may be that not all antibodies are appropriate for FACS. For example, one may currently use an antibody that works very well for western blot, a technique that requires the denaturation of proteins. This antibody may not necessarily be suitable for identification of these cell types using FACS given that the proteins are not denatured at any point in this protocol and thus the antibody may have no way to bind to its inherent antigen. Companies provide specification sheets which identify the applications for which an antibody has been approved. If an antibody has not been approved for flow cytometry, it should not discourage one from trying this protocol with a particular antibody; however, one should be aware that it isn&#8217;t guaranteed to work for FACS. A third caveat of this protocol has to do with the number of cells that one is trying to isolate. FACS is an excellent technique to yield the most cells possible from even a small piece of tissue, but it is also possible that if one would like to isolate a relatively sparse population of cells from a relatively small brain region, the yield from one animal will be inherently low. In this case, it may be necessary to pool the brain tissue from a few animals in the same treatment group in order to yield the number of cells necessary for subsequent analysis; however, a recent publication has used gene-targeted pre-amplification of cDNA for subsequent analysis of gene expression from a small number of activated neurons (5-6%) from a larger set sorted neurons, indicating that it is possible to analyze gene expression from even small subsets of neural cells without pooling large numbers of animals6A final caveat of this technique is that one should have access to a cell sorter that is not too far away. The cell sorter is a complicated machine that requires significant training in order to use it properly. Thus these machines are often run by a qualified technician in a core facility. In addition, the goal of this procedure is to dissociate the neural tissue, stain it for specific antibodies, and immediately take those samples to a sorter within a short period of time (perhaps a half day). This timeframe will help to increase the survival and yield of isolated cells and maintain the integrity of the cells for subsequent processing and analysis. If all of these parameters described above are met, FACS is an excellent method to analyze cell-type specific expression of genes and proteins from neural tissue.
All experiments were performed in accordance with the Institutional Animal Care and Use Committee (IACUC) of the University of Delaware and the National Institutes of Health Guide for the Care and Use of Laboratory Animals.

<table><tbody><tr><td>Neural Dissociation Kit (P)</td><td>Miltenyi Biotec</td><td>130-092-628</td><td></td></tr><tr><td>Myelin Removal Beads II</td><td>Miltenyi Biotec</td><td>130-096-733</td><td></td></tr><tr><td>LS Columns</td><td>Miltenyi Biotec</td><td>130-042-401</td><td></td></tr><tr><td>QuadroMACS Separator</td><td>Miltenyi Biotec</td><td>130-090-976</td><td></td></tr><tr><td>MACS MultiStand</td><td>Miltenyi Biotec</td><td>130-042-303</td><td></td></tr><tr><td>Nylon Mesh Sheet</td><td>Amazon</td><td>CMN-0074-10YD</td><td>40 inch width, 80 micron size mesh</td></tr><tr><td>Fc Block / anti-CD32</td><td>BD Biosciences</td><td>BDB550270</td><td>reactivity for rat</td></tr><tr><td>APC-conjugated CD11b antibody</td><td>Biolegend</td><td>201809</td><td>reactivity for rat</td></tr><tr><td>Rabbit anti-GLT1</td><td>Novus Biologicals</td><td>NBP1-20136</td><td>reactivity for rat or human</td></tr><tr><td>PE-conjugated anti-rabbit secondary antibody</td><td>eBioscience</td><td>1037259</td><td>secondary antibody for anti-GLT1</td></tr><tr><td>FITC-conjugated anti-rat CD90 (Thy1) mouse antibody</td><td>Biolegend</td><td>202504</td><td>reactivity for rat</td></tr></tbody></table>

using fluorescence activated cell sorting to examine cell-type-specific gene expression in rat brain tissue

大脑是由四个主要类型的细胞，包括神经元，星形胶质细胞，小胶质细胞和少突胶质细胞。虽然它们不是在大脑中最丰富的细胞类型，神经元是最广泛研究因为它们在影响行为直接作用这些细胞类型。在大脑中的其它细胞类型也影响通过它们产生的信号分子的神经元功能和行为。神经科学家必须了解的细胞类型之间的相互作用在大脑更好地了解这些相互作​​用如何影响神经功能和疾病。迄今为止，分析蛋白质或基因表达的最常见方法是利用整个组织样品均质化，通常是用血，而不考虑的细胞类型。这种方法是用于检查基因或可能影响神经功能和行为表达一般的变化信息的方式;然而，这种分析方法不适合于电池的更深入的了解-type特异性基因表达和细胞 - 细胞通信的对神经功能的影响。行为表观遗传学分析已经日益焦点其中审查的区域如何的脱氧核糖核酸（DNA）的结构影响长期基因表达和行为的修改;然而，该信息可以仅是相关的，如果在给定的鉴别谱系，从而后生标记可存在于个体的神经细胞类型的某些基因的细胞类型特异性的方式进行分析。荧光激活细胞分选如下所述（FACS）技术提供了一种简单而有效的方法，以分离单个神经细胞的基因表达，蛋白质表达，或DNA的表观遗传修饰的随后的分析。这种技术也可以被修改，以在脑中为随后的细胞类型特异性分析隔离更具体的神经细胞类型。

The Importance of Myelin Depletion and Tissue Perfusion
Figure 1 depicts the importance of myelin depletion. Myelin depletion (Steps 5.1 through 5.12 of the protocol above) occurs when the single-cell suspension is incubated in the Myelin Removal Beads, washed, and subsequently passed through the column on the magnetic sorter. The purpose of these steps is to reduce the amount of cellular debris present in each sample. As neurons are dissociated and triturated, it can shear off processes that are typically myelinated, and thus may stain positive with the Thy1 antibody. This results in myelinated debris which can ultimately interfere with the antibody staining and cell sorting. In addition it can reduce the relative number of cells that are retrieved from each sample. In Figure 1, the polygons drawn in each panel of the figure depict the living cells that will be gated and analyzed for subsequent sorting. This gate for living cells is drawn based on the forward scatter (FSC), which is a measure of size, and side scatter (SSC), which is a measure of granularity, of light passing by that particle, which ultimately excludes either dead cells and/or cellular debris. Thus, living cells should have a low level of granularity (low SSC) and a reasonable (not too small or not too large) size (FSC). Sample 1 (Figure 1A) and Sample 2 (Figure 1B) represent two different hippocampal samples that were individually prepared using all steps of the protocol above. The percent of cells that are gated is 53.9% of the total events analyzed in Sample 1 (9,656 cells out of 17,916 events) and 56.1% of the total events analyzed in Sample 2 (9,492 cells out of 16,920 events). Sample 3 (Figure 1C) is also a single hippocampus that was prepared using the protocol above but without the myelin depletion performed in Steps 5.1 &#8211; 5.12. The percent of cells that are gated is 3.93% of the total events analyzed in Sample 3 (4,312 cells out of 109,742 events), which is significantly less than in Sample 1 or Sample 2.
Myelin depletion is a relatively new technique, which can be compared in its purpose to a more popular technique, using the density gradient method such as Percoll. The purpose of performing a density gradient method is to remove cellular debris and dying cells from each sample. While the density gradient method is effective to some extent in this purpose (see 4,7 for examples of cells sorted following a density gradient method); it does not work nearly as well as the method of myelin depletion. The data in Figure 1 demonstrate the importance of myelin depletion in the increased total yield of cells. In addition, antibody staining can be greatly enhanced with the removal of myelinated debris.
In this protocol, it is important to perfuse the blood from the neural tissue using cardiac perfusion prior to tissue dissection and collection. This significantly helps to reduce the amount of neural cells that die during the procedure. Typically blood is separated from neural tissue by the blood brain barrier; however, dissection and dissociation of the tissue without perfusion can allow direct contact between neural cells and blood, which can result in increased neural cell death.
Staining Controls
Figure 2 represents the examples of the staining controls that must be performed each time cells are sorted. In this protocol, representative samples were stained with three antibodies including an APC-conjugated CD11b antibody to identify microglia, a FITC-conjugated Thy1 antibody to identify neurons, and an anti-GLT1 primary antibody with a phycoerythrin (PE) -conjugated secondary antibody to identify astrocytes. First, cells are sorted based on their forward and side scatter from all possible events. This gate is identified as P1 (population 1, Figure 2A). Next, the single cells, also called singlets, are sorted based on their size from any doublets or larger clumps of cells (see Figure 2A). These cells are not stained (and thus not gated) with any of the antibodies listed above. Instead, the gates for each cell type are determined based on the staining of the &#8220;single stain&#8221; controls that are prepared for each antibody. Figure 2B and Figure 2C depict the gate for APC-CD11b positive cells that are not present in the blank (unstained) control (Figure 2B) but are present in the APC alone (single stain) control sample. Figure 2D and Figure 2E depict the gate for the PE-GLT1 positive cells that are present in the GLT1-PE single stain control but not present in the FITC-Thy1 single stain control. Figure 2F depicts the gate for PE-GLT1 positive cells and FITC-Thy1 positive cells that are not present in the blank (unstained) control (similar to Figure 2B, which contains no stained cells in the CD11b positive gate). Figure 2G depicts the lack of both GLT1-PE staining and the lack of FITC-Thy1 staining in the APC alone (single stain) control. Figure 2H represents the PE-GLT1 positive cells that are present in the GLT1-PE single stain control (similar to Figure 2D but with a different axis for comparison), while Figure 2I represents the FITC-Thy1 positive cells found in the FITC-Thy1 single stain control. These single stain and unstained controls are used to identify the positive and negative cell populations for each antibody, to perform compensation in case one fluorochrome interferes with the signal from another fluorochrome, and to confirm that these antibodies work individually before they are combined in the samples themselves.
Sorting Neurons, Astrocytes, and Microglia from Individual Samples
Figure 3 depicts the sorted populations of neural cells from a single male hippocampus obtained from a FACS machine, and Figure 4 depicts the sorted populations of neural cells from a single male cerebellum. As described above, cells are sorted based on their forward and side scatter from all possible events (see Figure 3A and Figure 4A). This gate is identified as P1 (population 1). Next, the single cells, also called singlets, are sorted based on their size from any doublets or larger clumps of cells (see Figure 3B and Figure 4B). This gate is identified as P2. It is necessary to note the importance of obtaining singlets from the cell population. In order to accurately sort individual cell types, it is critical that the cells are not bound to each other in clumps of two or more. This would ultimately prevent the proper sorting of pure populations of cells. In order to prevent the appearance of doublets or larger clumps of cells in the samples, one must be sure to triturate each sample thoroughly and consistently across all samples with the glass Pasteur pipettes (numbered 1, 2, and 3) as described in Steps 4.8 through 4.11. Third, the single cells are then gated as either APC-CD11b positive (CD11b+ gate, P4, see Figure 3C and Figure 4C) or APC-CD11b negative (CD11b- gate, P3, see Figure 3C and Figure 4C). APC-CD11b negative cells are subsequently sorted into PE-GLT1 positive cells (GLT1+ gate, P6) and FITC-Thy1 positive cells (Thy1+ gate, P5), see Figure 3D and Figure 4D. Following each sort, the analysis program will determine the total number of events in each gate or population as well as the percent of the parent population(s). NOTE: We have used the FACS software in the current examples.
Confirming the Purity of each Cell Population using Real-time Polymerase Chain Reaction (PCR) of Cell-type-specific Genes
Figure 5 depicts the real-time PCR results obtained from the male hippocampus sample depicted in Figure 3 plus three additional male hippocampal samples (n = 4 hippocampi) and from the male cerebellum sample depicted in Figure 4 plus three additional male cerebellum samples (n = 4 cerebellum). To confirm the purity of the sorted cells in this particular example, we analyzed the relative gene expression of alternative cell-type-specific genes, using ribosomal 18s as the housekeeping gene for standardization. We analyzed the relative expression of the ionized calcium-binding adapter molecule (Iba1) which is a cytoplasmic protein expressed exclusively in microglia within the brain. We also analyzed the relative expression of the glial fibrillary acidic protein (GFAP) which is an intermediate filament protein expressed in astrocytes, and we also analyzed the relative expression of the N-methyl-D-aspartate (NMDA) receptor subunit 1 (NR1), which is expressed predominantly on neurons. These real-time PCR results confirm the purity of the sorted cells and identify some interesting differences across brain regions. For example, as expected, Iba1 was expressed approximately 400-fold higher in microglia than it was in either neurons or astrocytes (see Figure 5A and Figure 5D). As expected, GFAP was expressed more than 2,000-fold higher in hippocampal astrocytes than it was in hippocampal neurons or microglia (Figure 5B). Interestingly, however, GFAP was not highly expressed in the neurons or even the GLT1+ astrocytes that were sorted from the cerebellum as expected (Figure 5E). Given that others have identified GFAP expression in the cerebellum7; there are two possible explanations for these results. First, it is possible that GLT1 is expressed on a different subtype of astrocytes, one that does not co-express GFAP in the cerebellum or it is possible that GLT1 is not expressed at all on astrocytes in the cerebellum and that a different type of cell, that is neither Thy1+ or CD11b+, has been isolated from the cerebellum using this technique. Finally, as expected, NR1 was expressed approximately 300-fold higher in neurons than it was in either astrocytes or microglia (see Figure 5C and Figure 5F). These representative results confirm and expand upon previous findings using this technique to sort neurons, astrocytes, and microglia with these antibodies from the hippocampus and the nucleus accumbens using a different machine at a different institution1.
Following confirmation of purity of the sort, one can analyze their gene of interest to determine the specific cell type in which it is expressed or whether it is altered following treatment in a cell-type-specific manner. For example, we analyzed the expression of calbindin, a calcium-binding protein that is often used to identify neurons in the hippocampus and the cerebellum. Calbindin was expressed significantly more in hippocampal neurons than in any other hippocampal cell type (Figure 6A) but that it was expressed at significantly higher levels in the neurons isolated from the cerebellum (Figure 6B) than it was from the neurons of the hippocampus.
<img alt="Figure 1" src="/files/ftp_upload/52537/52537fig1.jpg" /> 
Figure 1. The effect of myelin removal on cell sorting. (A) Sample 1 and (B) Sample 2 represent two different hippocampal samples that were individually prepared using all steps of the protocol above. The percent of cells that are gated is listed inside each example. Specifically, 53.9% of the total events analyzed in Sample 1 were cells (9,656 out of 17,916 events) and 56.1% of the total events analyzed in Sample 2 were cells (9,492 out of 16,920 events). (C) Sample 3 is also a single hippocampus that was prepared using the described protocol, but without the myelin depletion performed in Steps 5.1 &#8211; 5.12. The percent of cells that are gated is 3.93% of the total events analyzed in Sample 3 (4,312 out of 109,742 events), which is significantly less than in Sample 1 or Sample 2. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/52537/52537fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" src="/files/ftp_upload/52537/52537fig2.jpg" /> 
Figure 2. Staining controls must be performed for each sort. Cells were stained with three antibodies including an APC-conjugated CD11b antibody to identify microglia, a FITC-conjugated Thy1 antibody to identify neurons, and an anti-GLT1 primary antibody with a PE-conjugated secondary antibody to identify astrocytes. (A) These plots depict the forward and side scatter of cells that are not stained (and thus not gated) with any of the antibodies listed above. The gates for each cell type are determined based on the staining of the &#8220;single stain&#8221; controls that are prepared for each antibody below. (B) and (C) depict the gate for APC-CD11b positive cells that are not present in the blank (unstained) control (B) but are present in the APC alone (single stain) control sample (C). (D) and (E) depict the gate for the PE-GLT1 positive cells that are present in the GLT1-PE single stain control (D) but not present in the FITC-Thy1 single stain control (E). (F) depicts the gate for PE-GLT1 positive cells and FITC-Thy1 positive cells that are not present in the blank (unstained) control (similar to (B), which contains no stained cells in the CD11b positive gate). (G) depicts the lack of both GLT1-PE staining and the lack of FITC-Thy1 staining in the APC alone (single stain) control. (H) represents the PE-GLT1 positive cells that are present in the GLT1-PE single stain control (similar to (D) but with a different axis for comparison), while (I) represents the FITC-Thy1 positive cells found in the FITC-Thy1 single stain control. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/52537/52537fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" src="/files/ftp_upload/52537/52537fig3.jpg" /> 
Figure 3. Neurons, astrocytes, and microglia sorted from a male hippocampus. The hippocampus from one male rat was dissociated and stained with the antibodies for CD11b, GLT1 and Thy1 and sorted using a FACS machine. (A) Cells were first sorted based on their forward and side scatter from all possible events. This gate is called P1 (population 1). (B) Next, single cells, also called singlets, were sorted based on their size from the doublets or larger clumps of cells. This gate is called P2. (C) Third, the single cells were gated as either APC-CD11b positive (CD11b+ gate, P4) or APC-CD11b negative (CD11b- gate, P3). (D) APC-CD11b negative cells were subsequently sorted into PE-GLT1 positive cells (GLT1+ gate, P6) and FITC-Thy1 positive cells (Thy1+ gate, P5). The breakdown of all events and all gates was generated from the FACS software depicted in a table which is presented on the right. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/52537/52537fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" src="/files/ftp_upload/52537/52537fig4.jpg" /> 
Figure 4. Neurons, astrocytes, and microglia sorted from a male cerebellum. The cerebellum from one male rat was dissociated and stained with the antibodies for CD11b, GLT1 and Thy1 and sorted using a FACS machine. (A) Cells were first sorted based on their forward and side scatter from all possible events. This gate is called P1 (population 1). (B) Next, single cells, also called singlets, were sorted based on their size from the doublets or larger clumps of cells. This gate is called P2. (C) Third, the single cells were gated as either APC-CD11b positive (CD11b+ gate, P4) or APC-CD11b negative (CD11b- gate, P3). (D) APC-CD11b negative cells were subsequently sorted into PE-GLT1 positive cells (GLT1+ gate, P6) and FITC-Thy1 positive cells (Thy1+ gate, P5). The breakdown of all events and all gates was generated from the FACS software depicted in a table which is presented on the right. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/52537/52537fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 5" src="/files/ftp_upload/52537/52537fig5.jpg" /> 
Figure 5. Real-time PCR analysis of cell-type-specific genes from sorted cells. Neurons (green bars), astrocytes (red bars) and microglia (blue bars) were sorted based on the protocol described above and mRNA was extracted for confirmation of cell-type-specific gene expression. (A) Iba1 is a calcium binding protein expressed exclusively in microglia sorted from the male hippocampus. (B) GFAP is a filament protein expressed predominantly in astrocytes sorted from the male hippocampus (C) NR1 is a ubiquitous subunit of the NMDA glutamatergic receptor that was expressed predominantly on neurons sorted from the male hippocampus. (D) Iba1 was also expressed exclusively on microglia sorted from the male cerebellum. (E) Interestingly, GFAP was not expressed in any of the cell types sorted from the male cerebellum. (F) The NR1 subunit of the NMDA receptor was also expressed predominantly on neurons sorted from the male cerebellum. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/52537/52537fig5large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 6" src="/files/ftp_upload/52537/52537fig6.jpg" /> 
Figure 6. Real-time PCR analysis of calbindin expressed in sorted neural cells. Cells sorted using FACS can be used to analyze cell-type-specific gene expression. (A) Neurons (green bars) expressed significantly more Calbindin than either astrocytes (red bars) or microglia (blue bars) sorted from the male hippocampus. (B) Neurons sorted from the male cerebellum expressed significantly higher levels of Calbindin than either astrocytes or microglia sorted from the cerebellum, but also significantly higher levels than the neurons sorted from the hippocampus. <a href="https://www-jove-com.bdigitaluss.remotexs.co/files/ftp_upload/52537/52537fig6large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

Watch this Scientific Journal Video about Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue at JoVE.com

Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue

The goal of this protocol is to use the fluorescence activated cell sorting (FACS) technique to sort specific types of neural cells for subsequent analysis of cell-type-specific gene expression, epigenetic markers, and or protein expression.

在大鼠脑组织用荧光活化细胞分选，以检查细胞类型特异性基因表达

The brain is comprised of four primary cell types including neurons, astrocytes, microglia and oligodendrocytes. Though they are not the most abundant ...

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16.8K 次观看.  University of Delaware. The goal of this protocol is to use the fluorescence activated cell sorting (FACS) technique to sort specific types of neural cells for subsequent analysis of cell-type-specific gene expression, epigenetic markers, and or protein expression.

视频: Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue

Generation of Topically Transgenic Rats by In utero Electroporation and In vivo Bioluminescence Screening

In utero electroporation (IUE) is a technique which allows genetic modification of cells in the brain for investigating neuronal development. So far, the use of IUE for investigating behavior or neuropathology in the adult brain has been limited by insufficient methods for monitoring of IUE transfection success by non-invasive techniques in postnatal animals. 
 For the present study, E16 rats were used for IUE. After intraventricular injection of the nucleic acids into the embryos, positioning of the tweezer electrodes was critical for targeting either the developing cortex or the hippocampus. 
 Ventricular co-injection and electroporation of a luciferase gene allowed monitoring of the transfected cells postnatally after intraperitoneal luciferin injection in the anesthetized live P7 pup by in vivo bioluminescence, using an IVIS Spectrum device with 3D quantification software. 
 Area definition by bioluminescence could clearly differentiate between cortical and hippocampal electroporations and detect a signal longitudinally over time up to 5 weeks after birth. This imaging technique allowed us to select pups with a sufficient number of transfected cells assumed necessary for triggering biological effects and, subsequently, to perform behavioral investigations at 3 month of age. As an example, this study demonstrates that IUE with the human full length DISC1 gene into the rat cortex led to amphetamine hypersensitivity. Co-transfected GFP could be detected in neurons by post mortem fluorescence microscopy in cryosections indicating gene expression present at &ge;6 months after birth.
 We conclude that postnatal bioluminescence imaging allows evaluating the success of transient transfections with IUE in rats. Investigations on the influence of topical gene manipulations during neurodevelopment on the adult brain and its connectivity are greatly facilitated. For many scientific questions, this technique can supplement or even replace the use of transgenic rats and provide a novel technology for behavioral neuroscience.

Generation of Topically Transgenic Rats by In utero Electroporation and In vivo Bioluminescence Screening

Genes can be manipulated during development of the cortex or the hippocampus of the rat via in utero electroporation (IUE) at E16, to enable fast and targeted modifications in neuronal connectivity for later studies of behavior or neuropathology in adult animals. Postnatal in vivo imaging for control of IUE success is performed by bioluminescence of activating co-transfected luciferase.

外用转基因大鼠通过代<em&gt;在子宫内</em&gt;电穿孔和<em&gt;在体内</em&gt;生物发光筛选

 In utero electroporation (IUE) is a technique which allows genetic modification of cells in the brain for investigating neuronal development. So far, the ...

科研

神经科学

Cell Sorting of Neural Stem and Progenitor Cells from the Adult Mouse Subventricular Zone and Live-imaging of their Cell Cycle Dynamics

Neural stem cells (NSCs) in the subventricular zone of the lateral ventricles (SVZ) sustain olfactory neurogenesis throughout life in the mammalian brain. They successively generate transit amplifying cells (TACs) and neuroblasts that differentiate into neurons once they integrate the olfactory bulbs. Emerging fluorescent activated cell sorting (FACS) techniques have allowed the isolation of NSCs as well as their progeny and have started to shed light on gene regulatory networks in adult neurogenic niches. We report here a cell sorting technique that allows to follow and distinguish the cell cycle dynamics of the above-mentioned cell populations from the adult SVZ with a LeX/EGFR/CD24 triple staining. Isolated cells are then plated as adherent cells to explore in details their cell cycle progression by time-lapse video microscopy. To this end, we use transgenic Fluorescence Ubiquitination Cell Cycle Indicator (FUCCI) mice in which cells are red-fluorescent during G1 phase due to a G1 specific red-Cdt1 reporter. This method has recently revealed that proliferating NSCs progressively lengthen their G1 phase during aging, leading to neurogenesis impairment. This method is easily transposable to other systems and could be of great interest for the study of the cell cycle dynamics of brain cells in the context of brain pathologies.

We report a Fluorescent Activated Cell Sorting (FACS)-based method to isolate neural stem cells (NSCs) and their progeny from the subventricular zone (SVZ) of the adult mouse brain. Applied to Fluorescence Ubiquitination Cell Cycle Indicator (FUCCI) transgenic mice, it allows the study of cell cycle progression by live imaging.

神经干细胞和祖细胞来自成年小鼠脑室下区细胞分选和实时成像的细胞周期动力学

Neural stem cells (NSCs) in the subventricular zone of the lateral ventricles (SVZ) sustain olfactory neurogenesis throughout life in the mammalian brain. ...

Fluorescence Activated Cell Sorting (FACS) and Gene Expression Analysis of Fos-expressing Neurons from Fresh and Frozen Rat Brain Tissue

The study of neuroplasticity and molecular alterations in learned behaviors is switching from the study of whole brain regions to the study of specific sets of sparsely distributed activated neurons called neuronal ensembles that mediate learned associations. Fluorescence Activated Cell Sorting (FACS) has recently been optimized for adult rat brain tissue and allowed isolation of activated neurons using antibodies against the neuronal marker NeuN and Fos protein, a marker of strongly activated neurons. Until now, Fos-expressing neurons and other cell types were isolated from fresh tissue, which entailed long processing days and allowed very limited numbers of brain samples to be assessed after lengthy and complex behavioral procedures. Here we found that yields of Fos-expressing neurons and Fos mRNA from dorsal striatum were similar between freshly dissected tissue and tissue frozen at -80 &#186;C for 3 - 21 days. In addition, we confirmed the phenotype of the NeuN-positive and NeuN-negative sorted cells by assessing gene expression of neuronal (NeuN), astrocytic (GFAP), oligodendrocytic (Oligo2) and microgial (Iba1) markers, which indicates that frozen tissue can also be used for FACS isolation of glial cell types. Overall, it is possible to collect, dissect and freeze brain tissue for multiple FACS sessions. This maximizes the amount of data obtained from valuable animal subjects that have often undergone long and complex behavioral procedures.

Fluorescence Activated Cell Sorting FACS and Gene Expression Analysis of Fos-expressing Neurons from Fresh and Frozen Rat Brain Tissue

Here we present a Fluorescence Activated Cell Sorting (FACS) protocol to study molecular alterations in Fos-expressing neuronal ensembles from both fresh and frozen brain tissue. The use of frozen tissue allows FACS isolation of many brain areas over multiple sessions to maximize the use of valuable animal subjects.

荧光活化细胞分选（FACS）和新鲜和冷冻大鼠脑组织的Fos表达神经元基因表达分析

The study of neuroplasticity and molecular alterations in learned behaviors is switching from the study of whole brain regions to the study of specific ...

Using Near-infrared Fluorescence and High-resolution Scanning to Measure Protein Expression in the Rodent Brain

Neuroscience is the study of how cells in the brain mediate various functions. Measuring protein expression in neurons and glia is critical for the study of neuroscience as cellular function is determined by the composition and activity of cellular proteins. In this article, we describe how immunocytochemistry can be combined with near-infrared high-resolution scanning to provide a semi-quantitative measure of protein expression in distinct brain regions. This technique can be used for single or double protein expression in the same brain region. Measuring proteins in this fashion can be used to obtain a relative change in protein expression with an experimental manipulation, molecular signature of learning and memory, activity in molecular pathways, and neural activity in multiple brain regions. Using the correct proteins and statistical analysis, functional connectivity among brain regions can be determined as well. Given the ease of implementing immunocytochemistry in a laboratory, using immunocytochemistry with near-infrared high-resolution scanning can expand the ability of the neuroscientist to examine neurobiological processes at a systems level.

Here, we present a protocol that uses near-infrared dyes in conjunction with immunohistochemistry and high-resolution scanning to assay proteins in brain regions.

近红外荧光和高分辨率扫描测量啮齿类动物大脑中蛋白质的表达

Neuroscience is the study of how cells in the brain mediate various functions. Measuring protein expression in neurons and glia is critical for the study ...

Fluorescence-Activated Cell Sorting-Radioligand Treated Tissue (FACS-RTT) to Determine the Cellular Origin of Radioactive Signal

Glial cells probably have a considerable implication in the pathophysiology of neurodegenerative disorders, such as Alzheimer's disease (AD). Their alterations are perhaps associated with a pro-inflammatory state. The TgF344-AD rat strain has been designed to express human APP and human PS1&#916;E9 genes, encoding for amyloid proteins A&#946;-40 and A&#946;-42 and displays amyloid pathology and cognitive deficits with aging. The TgF344-AD rat model is used in this study to evaluate the cellular origin of the 18 kDa translocator protein (TSPO, a marker of glial cell activation) binding, and the 5HT2A-receptor (5HT2AR) serotonin receptor levels that are possibly disrupted in AD. The technique presented here is Fluorescence-Activated Cell Sorting to Radioligand Treated Tissue (FACS-RTT), a quantitative cell-type-specific technique complementary to in vivo PET or SPECT or ex vivo/in vitro autoradiography techniques. It quantifies the same radiolabeled tracer used prior for imaging, using a &#947; counter after cytometry cell sorting. This allows determining the cellular origin of the radiolabeled protein with high cellular specificity and sensitivity. For example, studies with FACS-RTT showed that (i) the increase in TSPO binding was associated with microglia in a rat model of lipopolysaccharide (LPS)-induced neuroinflammation, (ii) an increase in TSPO binding at 12- and 18-months was associated with astrocytes first, and then microglia in the TgF344-AD rats compared to wild type (WT) rats, and (iii) the striatal density of 5HT2AR decreases in astrocytes at 18 months in the same rat AD model. Interestingly, this technique can be extended to virtually all radiotracers.

Fluorescence-Activated Cell Sorting-Radioligand Treated Tissue FACS-RTT to Determine the Cellular Origin of Radioactive Signal

Fluorescence-Activated Cell Sorting-Radioligand Treated Tissue (FACS-RTT) is a powerful tool to study the role of the 18 kDa translocator protein or Serotonin 5HT2A-receptor expression in Alzheimer&#39;s Disease at a cellular scale. This protocol describes the ex-vivo application of FACS-RTT in the TgF344-AD rat model.

荧光活化细胞分选-放射性配体处理组织（FACS-RTT）以确定放射性信号的细胞来源

Glial cells probably have a considerable implication in the pathophysiology of neurodegenerative disorders, such as Alzheimer's disease (AD). Their ...

RNA Isolation from Cell Specific Subpopulations Using Laser-capture Microdissection Combined with Rapid Immunolabeling

Laser capture microdissection (LCM) allows the isolation of specific cells from thin tissue sections with high spatial resolution. Effective LCM requires precise identification of cells subpopulations from a heterogeneous tissue. Identification of cells of interest for LCM is usually based on morphological criteria or on fluorescent protein reporters. The combination of LCM and rapid immunolabeling offers an alternative and efficient means to visualize specific cell types and to isolate them from surrounding tissue. High-quality RNA can then be extracted from a pure cell population and further processed for downstream applications, including RNA-sequencing, microarray or qRT-PCR. This approach has been previously performed and briefly described in few publications. The goal of this article is to illustrate how to perform rapid immunolabeling of a cell population while keeping RNA integrity, and how to isolate these specific cells using LCM. Herein, we illustrated this multi-step procedure by immunolabeling and capturing dopaminergic cells in brain tissue from one-day-old mice. We highlight key critical steps that deserve special consideration. This protocol can be adapted to a variety of tissues and cells of interest. Researchers from different fields will likely benefit from the demonstration of this approach.

Gene expression analysis of a subset of cells in a specific tissue represents a major challenge. This article describes how to isolate high-quality total RNA from a specific cell population by combining a rapid immunolabeling method with laser capture microdissection.

从细胞亚群特异性RNA提取使用激光捕获显微切割加上快速的免疫标记

Laser capture microdissection (LCM) allows the isolation of specific cells from thin tissue sections with high spatial resolution. Effective LCM requires ...

生物学

Isolating Fluorescently Labeled Neurons from a Murine Brain

Source: Paul, A., et al., <a href="https://app-jove-com.bdigitaluss.remotexs.co/v/58690">Single-cell RNA Sequencing of Fluorescently Labeled Mouse Neurons Using Manual Sorting and Double In Vitro Transcription with Absolute Counts Sequencing (DIVA-Seq).</a> J. Vis. Exp. (2018)
This video demonstrates a method to isolate fluorescently labeled neurons from a mouse brain.

从小鼠大脑中分离荧光标记的神经元

All procedures involving sample collection have been performed in accordance with the institute&#39;s IRB guidelines.
1. Manual Sorting of Fluorescently ...

JoVE Encyclopedia of Experiments

Neuronal Culture Techniques

Primary Neuronal Culture

Isolating Cell Populations from Brain Tissue Using Fluorescence-Activated Nuclei Sorting

Source: Mussa, Z., et al. <a href="https://app-jove-com.bdigitaluss.remotexs.co/v/62405">Isolation of Adult Human Astrocyte Populations from Fresh-Frozen Cortex Using Fluorescence-Activated Nuclei Sorting.</a> J. Vis. Exp. (2021)
This video demonstrates the procedure for isolating and sorting nuclei from fresh-frozen human brain tissue using fluorescence-activated nuclei sorting (FANS), which enables the study of different cell populations for various neurological applications.

使用荧光激活细胞核分选从脑组织中分离细胞群

All procedures involving sample collection have been performed in accordance with the institute&#39;s IRB guidelines.
1. Buffer preparation
NOTE: If ...

Obtaining Various Neural Cell Populations from a Rat Hippocampus

Source: Schwarz, J. M. <a href="https://app-jove-com.bdigitaluss.remotexs.co/v/52537">Using Fluorescence Activated Cell Sorting to Examine Cell-Type-Specific Gene Expression in Rat Brain Tissue.</a> J. Vis. Exp. (2015)
This video demonstrates a protocol to isolate cells from rat hippocampi, including neurons, astrocytes, and microglia.

从大鼠海马体中获得各种神经细胞群

All procedures involving sample collection have been performed in accordance with the institute&#39;s IRB guidelines.
1. Tissue Collection

	Prepare ...

 Performing Double Fluorescence In Situ Hybridization to Detect Gene Expression in Mouse Brain Sections

<a href='https://app-jove-com.bdigitaluss.remotexs.co/v/53976/combining-double-fluorescence-situ-hybridization-with-immunolabelling'>Source: Jolly, S., et.al. Combining Double Fluorescence In Situ Hybridization with Immunolabelling for Detection of the Expression of Three Genes in Mouse Brain Sections. J. Vis. Exp. (2016).</a>This video demonstrates the use of double fluorescence in situ hybridization to visualize the expression of two RNA targets in mouse brain sections. The protocol involves sequential detection of RNA using probes labeled with fluorescein isothiocyanate and digoxigenin, followed by enzymatic signal amplification to enhance sensitivity. The resulting fluorescence enables co-localization analysis of the target RNAs within the tissue.

Source: Jolly, S., et.al. Combining Double Fluorescence In Situ Hybridization with Immunolabelling for Detection of the Expression of Three Genes in Mouse ...