Dataset Information

Cell function and identity revealed by comparative scRNA-seq analysis in human nasal, bronchial and epididymis epithelia. [RNA-Seq]

ABSTRACT: The evolutionary relationship of cells within tissues having a similar function but located in different anatomical sites is of considerable biological interest. The development of single-cell RNA sequencing (scRNA-seq) protocols has greatly enhanced opportunities to address this topic. Here we focus on cells in the epithelium which lines two regions of the human respiratory tract and the male genital ducts to delineate the shared, differentiated functions of the different cell populations. Transcriptomic data were used to assess the gene expression profiles of human bronchial, nasal, and epididymal epithelium (HBE, HNE, and HEE). Bulk RNA-seq showed many shared genes expressed in cells from the nasal and bronchial epithelium and highlighted their divergence from the epididymal epithelium. ScRNA-seq in HBE and HNE cells demonstrated overlapping gene expression patterns within basal and secretory cell populations. Moreover, the distribution of cell types was altered in HNE cells derived from donors with cystic fibrosis (CF) when compared to cells from healthy donors. Next, the HBE and HNE datasets were merged and confirmed intersection of cell type gene expression profiles from the two sites, but that secretory and ciliated cells were the most abundant type in the HBE samples, while more basal cells were seen in the HNE. We then merged single-cell data from the epididymis to determine if overlapping functions of these cells corresponded to those in the airway. Of note, only the pulmonary ionocytes/epididymis clear cells showed a strongly conserved identity, which was confirmed by imputation in bulk RNA-seq datasets from the same cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE191060 | GEO | 2022/05/23

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:The functional maturation of mammalian spermatozoa is accomplished as the cells descend through the highly specialized microenvironment of the epididymis. This dynamic environment is, in turn, created by the combined secretory and absorptive activity of the surrounding epithelium and displays an extraordinary level of regionalization. Although the regulatory network responsible for spatial coordination of epididymal function remains unclear, recent evidence has highlighted a novel role for the RNA interference pathway. Indeed, as noncanonical regulators of gene expression, small noncoding RNAs have emerged as key elements of the circuitry involved in regulating epididymal function and hence sperm maturation. Herein we have employed next generation sequencing technology to profile the genome-wide miRNA signatures of mouse epididymal cells and characterize segmental patterns of expression. An impressive profile of some 370 miRNAs were detected in the mouse epididymis, with a subset of these specifically identified within the epithelial cells that line the tubule (218). A majority of the latter miRNAs (75%) were detected at equivalent levels along the entire length of the mouse epididymis. We did however identify a small cohort of miRNAs that displayed highly regionalized patterns of expression, including miR-204-5p and miR-196b-5p, which were down- and up-regulated by approximately 39- and 45-fold between the caput/caudal regions, respectively. In addition we identified 79 miRNAs (representing ~ 21% of all miRNAs) as displaying conserved expression within all regions of the mouse, rat and human epididymal tissue. These included 8/14 members of let-7 family of miRNAs that have been widely implicated in the control of androgen signaling and the repression of cell proliferation and oncogenic pathways. Overall these data provide novel insights into the sophistication of the miRNA network that regulates the function of the male reproductive tract. Examination of the microRNA expression profile in the whole mouse epididymis and mouse epididymal epithelial cells using next generation sequencing in duplicate.

Project description:The airways of the human lung are lined by an epithelium made up of ciliated and secretory luminal cells and undifferentiated p63+ Krt5+ basal cells. The integrity of this epithelium and its ability to act as a selective barrier are critical for normal lung function. In other epithelia there is evidence that transcription factors of the evolutionarily conserved grainyheadlike (GRHL) family play key roles in co-ordinating the expression of numerous proteins required for epithelial morphogenesis, differentiation, remodeling and repair. However, little is known about their function in the adult lung. Here, we focus on the role of GRHL2 in primary human bronchial epithelial (HBE) cells, using either shRNA or a dominant negative protein (DN-GRHL2) to inhibit its function. We follow changes in epithelial phenotype, and in gene transcription using RNA-seq or microarray analysis, both in undifferentiated basal cells and in cells differentiating in air-liquid interface culture into a mucociliary epithelium with transepithelial electrical resistance. We identify several hundreds of genes that are directly or indirectly regulated by GRHL2. Using ChIP-seq to map sites of GRHL2 binding in the basal cells we identify 7,687 potential primary targets, and confirm that GRHL2 binding is strongly enriched near GRHL-regulated genes. Different subsets of the large cohort of potential GRHL2 targets appear to be active in basal and differentiated cells. Taken together, the results strongly support the hypothesis that GRHL2 plays a key role in regulating many physiological functions of human airway epithelium, including those involving cell adhesion, polarity and morphogenesis. Frozen primary human bronchial epithelial (HBE) cells were obtained from three donors and grown to confluence in standard culture conditions. Cells were crosslinked with formaldehyde and collected in aliquots of ~20M cells per donor. ChIP-seq for GRHL2 (Antibody: Sigma HPA004820) was then performed relative to an input control for each donor.

Dataset Information

Cell function and identity revealed by comparative scRNA-seq analysis in human nasal, bronchial and epididymis epithelia. [RNA-Seq]

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure