Project description:To validate the CD49f/CD61 flow cytometry panel for resolving the three major mammary epithelial lineages, mammary epithelial cells from MMTV-Cre mice were collected by FACS and analyzed by RNA-seq for comparison to previously published single-cell RNA-seq studies, which non-biasedly identified the three major lineages: basal, alveolar progenitor (AP), and hormone-sensing luminal (HSL) cells.
Project description:To delineate epithelial subpopulations in human mammary tissue, hematopoietic and endothelial cells were depleted from freshly isolated cell suspensions derived from reduction mammoplasties by fluorescence-activated cell sorting. The resultant Lin- population was fractionated into four distinct subpopulations using CD49f (α6-integrin) and epithelial cell adhesion molecule (EpCAM; also referred to as CD326 and ESA). Based on the immunohistochemical phenotype, and in vivo and in vitro functional assays, these subpopulations were identified as fibroblast-enriched stromal (CD49f -EpCAM-), mammary stem cell (MaSC)-enriched (CD49f hiEpCAM-), luminal progenitor (CD49f +EpCAM+), and mature luminal (CD49f –EpCAM+) cell subpopulations. Microarray profiling was used to derive gene expression signatures representative of these subpopulations using freshly sorted cells (>90% purity) from normal breast tissue. The four mammary cell subpopulations were found to have distinct gene expression profiles.
Project description:To delineate epithelial subpopulations in human mammary tissue, hematopoietic and endothelial cells were depleted from freshly isolated cell suspensions derived from reduction mammoplasties by fluorescence-activated cell sorting. The resultant Lin- population was fractionated into four distinct subpopulations using CD49f (α6-integrin) and epithelial cell adhesion molecule (EpCAM; also referred to as CD326 and ESA). Based on the immunohistochemical phenotype, and in vivo and in vitro functional assays, these subpopulations were identified as fibroblast-enriched stromal (CD49f -EpCAM-), mammary stem cell (MaSC)-enriched (CD49f hiEpCAM-), luminal progenitor (CD49f +EpCAM+), and mature luminal (CD49f âEpCAM+) cell subpopulations. Microarray profiling was used to derive gene expression signatures representative of these subpopulations using freshly sorted cells (>90% purity) from normal breast tissue. The four mammary cell subpopulations were found to have distinct gene expression profiles. Four mammary cell subpopulations from three individual patient samples were analyzed.
Project description:We defined CD49f-high, CD49f-low and CD49f-neg mesenchymal subpopulations in the dermis. Transcriptome analysis revealed that CD49fhigh cells highly express gene regulatory network of neural crest cells, while CD49flow cells were enriched with melanocyte lineage development and maintenance related genes. The identity and function of above cell populations were further verified by lineage tracing.
Project description:This experiment shows differential expression of genes in the luminal, basal and stromal subpopulations from SNAI2+/+ and SNAI2 LacZ/LacZ mammary epithelial cells. Luminal, basal and stromal populations were sorted from SNAI2+/+ and SNAI2 LacZ/LacZ mammary epithelial cells based on expression of CD49f and Epcam.
Project description:We have carried out microarray-based gene expression analysis of cell subpopulations isolated by flow cytometry, on the basis of staining with antibodies against CD45, CD49f, Sca-1 and the 33A10 antigen, from freshly prepared mouse mammary glands. RNA isolated from cell populations was co-hybridised with control mouse RNA on to an in-house (Breakthrough Breast Cancer Centre) cDNA mouse microarray containing 13825 features (NIA 15K Mouse cDNA clone set). LIMMA analysis was used to analyse data and determine changes in RNA expression levels.
Project description:The metabolic status of individual cells in microbial cultures can differ being relevant for biotechnology, environmental and medical microbiology. However, it is hardly understood in molecular detail due to limitations of current analytical tools. Here, we demonstrate that FACS in combination with proteomics can be used to sort and analyze cell populations based on their metabolic state. A previously established GFP reporter system was used to detect and sort single Corynebacterium glutamicum cells based on the concentration of branched chain amino acids (BCAA) using FACS. A proteomics workflow optimized for small cell numbers was used to quantitatively compare proteomes of a ?aceE mutant, lacking functional pyruvate dehydrogenase (PD), and the wild type. About 800 proteins could be quantified from 1,000,000 cells. In the ?aceE mutant BCAA production was coordinated with upregulation of the glyoxylate cycle and TCA cycle to counter the lack of acetyl CoA resulting from the deletion of aceE.
Project description:The therapeutic use of regulatory T cells (Tregs) in patients with autoimmune disorders has been hampered by the biological variability of memory Treg populations in the peripheral blood. In this study, we reveal through a combination of quantitative proteomic, multiparametric flow cytometry, RNA-seq data analysis and functional assays, that CD49f is heterogeneously expressed among human Tregs and impacts their immunomodulatory function. High expression of CD49f defines a subset of dysfunctional Tregs in the human blood characterized by a Th17-like phenotype and impaired suppressive capacity. CD49f is similarly distributed between naïve and memory Tregs and impacts the expression of CD39, CTLA-4, FoxP3 and CCR6 specifically in the memory compartment. Accumulation of CD49f high memory Tregs in the blood of ulcerative colitis patients correlates with disease severity. Our results highlight important considerations for Treg immunotherapy design in patients with inflammatory bowel disease which could possibly extend to other autoimmune disorders.
Project description:To further characterize the molecular and biological features of the Sca-1+ luminal cells, we performed an RNA-seq analysis using FACS-isolated distinct cell lineages in adult mouse prostates, including the Lin-CD24lowCD49fhigh basal cells, Lin-CD24-CD49f- stromal cells, Lin-CD24highCD49flowSca-1- luminal cells, and Lin-CD24highCD49flowSca-1+ luminal cells.
Project description:A FACS protocol is described that eliminates isolation and staining artifacts to allow accurate comparison between cell populations isolated from organs obtained from disparate mouse groups. This protocol was validated by characterizing the estrogen receptor positive cells within the mammary gland of transgenic mice with different genotypes at different stages of the estrous cycle. We include protocols necessary to batch stage animals within the cycle to proceed directly to FACS, which provides optimal RNA yields for RNA-seq. For complete details on the use and execution of this protocol, please refer to Ludwik et al. (2020).