Comparision of primay murine airway basal cells and ESC-derived basal cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE232545 | GEO | 2023/08/24
REPOSITORIES: GEO
Similar Datasets
Project description:Comparision of primay murine airway basal cells and ESC-derived basal cells
| PRJNA972705 | ENA
Project description:Murine ESC-derived basal cell (iBC) 5th generation secondary transplantation
| PRJNA972700 | ENA
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.
2011-06-10 | E-GEOD-24337 | biostudies-arrayexpress
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.
2011-06-10 | GSE24337 | GEO
Project description:murine ESC-derived basal cell (iBC) transplantation (40&56 days post-transplantation)
| PRJNA873117 | ENA
Project description:murine primary basal cell (BC) recipient (69 days post-transplantation) and ESC-derived basal cell (iBC) recipient (192 days post-transplantation)
| PRJNA873120 | ENA
Project description:A novel monoclonal antibody, HLO1-6H5, was developed that identifies a subset of KRT5+ basal cells. The protein target of the antibody was identified with aminooxy-sulfhydryl-biotin (ASB) crosslinking mass spectrometry.
| MSV000095761 | MassIVE
Project description:Background: Based on previous publication and our own data we became interested in the gene expression signature of airway basal cells. Methods: Bronchoscopy with bronchial brushes and bronchoalveolar lavage was performed in healthy donors. Airway basal cells were obtained by brushing segmental bronchi of the right lower lobe and outgrowth of cells in BEGM supplemented with growth factors according to the manufacturer’s instructions. Alveolar macrophages were sorted by flow cytometry. Microarray data of 11 airway basal cell samples, 7 alveolar macrophage samples and 4 samples of bronchial epithelial cells were obtained. The transcriptome of the three different cell types was compared using univariate ANOVA resulting in 8874 genes significantly differently expressed between the three cell types (p<0.0001). The data of these 8874 transcripts were used for a clustering approach applying Cluster 3.0 software. The samples were hierarchically clustered with median normalization of the genes and centroid linkage, and the similarity metric used was Pearson correlation. Results and Conclusion: we obtained an airway basal cell type specific signature consisting out of 961 genes which was used in further studies.
2018-12-31 | GSE70864 | GEO
Project description:Documents of DNA expression of 4 human induced pluripotent stem cell (iPSC) lines from umbilical cord mesenchymal cells (UMCs) and amniotic mesenchymal cells (AMCs). We used microarrays to identify similarity between 4 iPSC cell lines and the human embryonic stem cell (ESC) line H9. 2 AMC iPSC cell lines, 2 UMC iPSC cell lines, H9 ESC cell line. TRIZOL cell lysates were prepared.
2010-11-10 | E-GEOD-20581 | biostudies-arrayexpress
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.
2018-04-30 | GSE111557 | GEO