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Neurocytometry: Flow Cytometric Sorting of Specific Neuronal Populations from Human and Rodent Brain.

ABSTRACT: Flow cytometry has the potential to facilitate understanding of the heterogeneous responses of diverse brain cell populations to a variety of stimuli. However, existing methods of applying flow cytometry to brain tissues are each limited in certain ways. They either require genetically labeled cells to achieve separation of specific populations, are not applicable to previously fixed tissue, or are not compatible with downstream mRNA analysis. Here, we describe a group of related methods that overcome many previous limitations and allow robust sorting and downstream molecular analysis of highly enriched populations of specific neuronal and non-neuronal cells from any mammalian brain. We illustrate these techniques, which are compatible with antibodies for both nuclear and non-nuclear epitopes and do not require transgenic animals, with three examples. First, we describe the separation and downstream mRNA analysis of four types of cortical interneurons (somatostatin, parvalbumin, calretinin, and calbindin) from paraformaldehyde-fixed rat brain sections. Second, we demonstrate separation of neurons and non-neurons from zinc-fixed mouse brain cortical sections followed by analysis of enzymatic activity (ACE2 activity) and mRNA expression. Third, we show that routinely fixed post-mortem human brain can be analyzed by isolating parvalbumin-containing neurons from cortical samples that were fixed for periods of up to 8 weeks in formalin. In each case, sorted cell identity was confirmed with mRNA analysis. The neurocytometry methodology described here has the potential to significantly expand studies to analyze the effects of drugs, environmental manipulations, and disease states on the nucleic acid and protein content of specific brain cell populations.

SUBMITTER: Martin D

PROVIDER: S-EPMC6385603 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Neurocytometry: Flow Cytometric Sorting of Specific Neuronal Populations from Human and Rodent Brain.

Martin David D Xu Jiaxi J Porretta Connie C Nichols Charles D CD

ACS chemical neuroscience 20170201 2

Flow cytometry has the potential to facilitate understanding of the heterogeneous responses of diverse brain cell populations to a variety of stimuli. However, existing methods of applying flow cytometry to brain tissues are each limited in certain ways. They either require genetically labeled cells to achieve separation of specific populations, are not applicable to previously fixed tissue, or are not compatible with downstream mRNA analysis. Here, we describe a group of related methods that ov ...[more]

PMID: 28135061

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Project description:BackgroundFlow cytometric sorting can be used to separate sperm based on sex chromosome content. Differential fluorescence emitted by stained X- vs. Y-chromosome-bearing sperm enables sorting and collection of samples enriched in either X- or Y-bearing sperm for use to influence the likelihood that the offspring will be a particular sex. Herein we report the effectiveness of flow cytometric sorting of human sperm and its use in human ART procedures.MethodsThis prospective, observational cohort study of the series of subjects treated with flow cytometrically sorted human sperm was conducted at investigational sites at two private reproductive centers. After meeting inclusion criteria, married couples (n = 4993) enrolled to reduce the likelihood of sex-linked or sex-limited disease in future children (n = 383) or to balance the sex ratio of their children (n = 4610). Fresh or frozen-thawed semen was processed and recovered sperm were stained with Hoechst 33342 and sorted by flow cytometry (n = 7718) to increase the percentage of X-bearing sperm (n = 5635) or Y-bearing sperm (n = 2083) in the sorted specimen. Sorted sperm were used for IUI (n = 4448) and IVF/ICSI (n = 2957). Measures of effectiveness were the percentage of X- and Y-bearing sperm in sorted samples, determined by fluorescence in situ hybridization, sex of babies born, IVF/ICSI fertilization- and cleavage rates, and IUI, IVF/ICSI, FET pregnancy rates and miscarriage rates.ResultsSorted specimens averaged 87.7 ± 5.0% X-bearing sperm after sorting for X and 74.3 ± 7.0% Y-bearing sperm after sorting for Y. Seventy-three percent of sorts were for girls. For babies born, 93.5% were females and 85.3% were males after sorting for X- and Y-bearing sperm, respectively. IUI, IVF/ICSI, and FET clinical pregnancy rates were 14.7%, 30.8%, and 32.1%, respectively; clinical miscarriage rates were 15.5%, 10.2%, and 12.7%.ConclusionsFlow cytometric sorting of human sperm shifted the X:Y sperm ratio. IUI, IVF/ICSI and FET outcomes were consistent with unimpaired sperm function. Results provide evidence supporting the effectiveness of flow cytometric sorting of human sperm for use as a preconception method of influencing a baby's sex.Trial registrationNCT00865735 (ClinicalTrials.gov).

Project description:BackgroundMalaria remains a major cause of morbidity and mortality worldwide. Flow cytometry-based assays that take advantage of fluorescent protein (FP)-expressing malaria parasites have proven to be valuable tools for quantification and sorting of specific subpopulations of parasite-infected red blood cells. However, identification of rare subpopulations of parasites using green fluorescent protein (GFP) labelling is complicated by autofluorescence (AF) of red blood cells and low signal from transgenic parasites. It has been suggested that cell sorting yield could be improved by using filters that precisely match the emission spectrum of GFP.MethodsDetection of transgenic Plasmodium falciparum parasites expressing either tdTomato or GFP was performed using a flow cytometer with interchangeable optical filters. Parasitaemia was evaluated using different optical filters and, after optimization of optics, the GFP-expressing parasites were sorted and analysed by microscopy after cytospin preparation and by imaging cytometry.ResultsA new approach to evaluate filter performance in flow cytometry using two-dimensional dot blot was developed. By selecting optical filters with narrow bandpass (BP) and maximum position of filter emission close to GFP maximum emission in the FL1 channel (510/20, 512/20 and 517/20; dichroics 502LP and 466LP), AF was markedly decreased and signal-background improve dramatically. Sorting of GFP-expressing parasite populations in infected red blood cells at 90 or 95% purity with these filters resulted in 50-150% increased yield when compared to the standard filter set-up. The purity of the sorted population was confirmed using imaging cytometry and microscopy of cytospin preparations of sorted red blood cells infected with transgenic malaria parasites.DiscussionFilter optimization is particularly important for applications where the FP signal and percentage of positive events are relatively low, such as analysis of parasite-infected samples with in the intention of gene-expression profiling and analysis. The approach outlined here results in substantially improved yield of GFP-expressing parasites, and requires decreased sorting time in comparison to standard methods. It is anticipated that this protocol will be useful for a wide range of applications involving rare events.

Project description:IntroductionThe synovium is a major target tissue in chronic arthritis and is intensively studied at the cellular and molecular level. The aim of this study was to develop flow cytometry for the quantitative analysis of synovial cell populations pre and post culture and to characterize mesenchymal cell populations residing in the inflammatory synovium.MethodsKnee synovium biopsies from 39 patients with chronic arthritis and from 15 controls were treated in a short, standardized tissue digestion procedure. Stored, thawed digests were routinely analyzed with flow cytometry including live-dead staining and use of the markers CD45, CD3, CD14, CD20, CD34, CD73, CD105, CD90, CD146, CD163 and HLA-DR to distinguish inflammatory and stromal cells. The influence of the digestion method on the detection of the different surface markers was studied separately. In addition, we studied the presence of a specific cell population hypothesized to be mesenchymal stem cells (MSC) based on the CD271 marker. Cell expansion cultures were set up and a MSC-related surface marker profile in passages 3 and 6 was obtained. Immunohistochemistry for CD34 and von Willebrand factor (vWF) was done to obtain additional data on synovium vascularity.ResultsThe cell yield and viability normalized to tissue weight were significantly higher in inflammatory arthritis than in controls. Within the hematopoietic CD45-positive populations, we found no differences in relative amounts of macrophages, T-lymphocytes and B-lymphocytes between patient groups. Within the CD45-negative cells, more CD34-positive cells were seen in controls than in arthritis patients. In arthritis samples, a small CD271 positive population was detected. Culture expanded cells were found to fulfill the multipotent mesenchymal stromal cell marker profile, except for CD34 negativity. Detection of peripheral blood macrophage and B-cell markers was decreased after enzymatic exposure and mechanical forces, respectively, but stromal markers were not affected.ConclusionsFlow cytometry can distinguish synovial cell populations in tissue digests. The preparation method can influence the detection levels of macrophage and B-cell populations. However, stromal cell markers seem not affected and quantification is possible, supporting flow cytometry tissue analysis as a tool to study these cell populations in arthritis.

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Neurocytometry: Flow Cytometric Sorting of Specific Neuronal Populations from Human and Rodent Brain.

Publications

Neurocytometry: Flow Cytometric Sorting of Specific Neuronal Populations from Human and Rodent Brain.

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