Project description:Purpose: To unravel the molecular heterogeneity of distinct epidermal populations in interfollicular epidermis (IFE) in vivo Methods: We performed bulk RNA sequencing of FACS purified basal (Sca1+/alpha6-integrin+) IFE cells enriched in Slc1a3/Dlx1/Aspm CreER marked lineages. We used >10000 tdTomato+/Sca1+/α6-int+ (basal) cells from both back and tail skin at 2-weeks post TM induction from each of four CreER mouse lines and normalized them to Sca1+/α6-int+ sorted from the same mouse. Extracted RNA of high quality and low input was processed for library preparation followed by Illumina seq on HiSeq4000. The raw sample-specific FASTQ files were trimmed and mapped to the reference genome/transcriptome (mouse/mm10) and DESeq2 v1.26.0 were used to generate normalized counts and statistical analysis of differential gene expression.
Project description:To identify key genes that define surface airway epithelial (SAE) basal cells, we FACS isolated basal, ciliated, and club cell populations as previously reported (Zhao et al., 2014; PMID: 25043474) and performed microarray analysis on isolated mRNA. For fractionating SAE into basal, club, and ciliated populations, cells were stained with EpCAM-PECy7 (eBiosciences), GSIβ4-FITC (Sigma), SSEA1-Alexa Fluor® 647 (BioLegend), and CD24-PE (BD Pharmingen) for 30 minutes on ice as previously described (Zhao et al., 2014), prior to FACS. Basal cells were considered EpCAM+ and GSIβ4+. Secretory cells were considered EpCAM+ and SSEA1+. Ciliated cells were considered EpCAM+, GSIβ4- and CD24+. Primary SAE cells were harvested from C57BL/6 mice and sorted into basal, ciliated, and club cell populations for the purpose of identifying enrichment of transcripts specific to each cell type population.
Project description:Background. The human airway epithelium consists of 4 major cell types: ciliated, secretory, columnar and basal cells. During natural turnover and in response to injury, the airway basal cells function as stem / progenitor cells for the other airway cell types. The objective of this study is to better understand basal cell biology by defining the subset of expressed genes that characterize the signature of human airway epithelial basal cells. Methodology / Principal Findings. Microarrays were used to assess the transcriptome of basal cells purified from the airway epithelium of healthy nonsmokers obtained by bronchial brushings in comparison to the transcriptome of the complete differentiated airway epithelium. This analysis identified the “human airway basal cell signature” as 1,161 unique genes with >5-fold higher expression level in basal cells compared to the differentiated epithelium. The basal cell signature was suppressed when the basal cells differentiated into a ciliated airway epithelium in vitro. The human airway basal cell signature displayed extensive overlap with genes expressed in basal cells from other human tissues and murine airway basal cells. Consistent with self-modulation as well as signaling to other airway cell types, the airway basal cell signature was characterized by genes encoding extracellular matrix components, and growth factors and growth factor receptors, including genes related to EGFR and VEGFR signaling. However, while human airway basal cells share similarity with basal-like cells of other organs, the human airway basal cell signature has features not previously associated with this cell type, including a unique pattern of genes encoding extracellular matrix components, integrins, G protein-coupled receptors, neuroactive ligands and receptors, and ion channels. Conclusion / Significance. The human airway epithelial basal cells signature identified in the present study provides novel insights into the ontogeny, molecular phenotype and biology of the stem / progenitor cells of the human airway epithelium.
Project description:Background. The human airway epithelium consists of 4 major cell types: ciliated, secretory, columnar and basal cells. During natural turnover and in response to injury, the airway basal cells function as stem / progenitor cells for the other airway cell types. The objective of this study is to better understand basal cell biology by defining the subset of expressed genes that characterize the signature of human airway epithelial basal cells. Methodology / Principal Findings. Microarrays were used to assess the transcriptome of basal cells purified from the airway epithelium of healthy nonsmokers obtained by bronchial brushings in comparison to the transcriptome of the complete differentiated airway epithelium. This analysis identified the “human airway basal cell signature” as 1,161 unique genes with >5-fold higher expression level in basal cells compared to the differentiated epithelium. The basal cell signature was suppressed when the basal cells differentiated into a ciliated airway epithelium in vitro. The human airway basal cell signature displayed extensive overlap with genes expressed in basal cells from other human tissues and murine airway basal cells. Consistent with self-modulation as well as signaling to other airway cell types, the airway basal cell signature was characterized by genes encoding extracellular matrix components, and growth factors and growth factor receptors, including genes related to EGFR and VEGFR signaling. However, while human airway basal cells share similarity with basal-like cells of other organs, the human airway basal cell signature has features not previously associated with this cell type, including a unique pattern of genes encoding extracellular matrix components, integrins, G protein-coupled receptors, neuroactive ligands and receptors, and ion channels. Conclusion / Significance. The human airway epithelial basal cells signature identified in the present study provides novel insights into the ontogeny, molecular phenotype and biology of the stem / progenitor cells of the human airway epithelium. This study was designed to distinguish the transcriptome of the airway epithelium basal cell from that of differentiated airway epithelium. A basal cell signature was derived and analyzed for functional significance. The signature was also evaluated as basal cells differentiated into ciliated epithelium in vitro.
Project description:Three well-known tumor suppressors, TRP53, p16INK4a, and p19ARF (p16INK4a and p19ARF are both coded by the gene Cdkn2a) have been connected to the limiting of stem cell self-renewal and proliferation in some tissues. Here we deposit RNA microarray expression data of sorted mouse Krt14-cre mT/mG Trp53f/f Cdkn2a-/- mammary epithelial basal cells and their wild type control cells (Krt14-cre mT/mG).