Single-Cell Transcriptomics Reveals the Differentiation and Spatial Signatures underlying Sheep Hair Follicle Heterogeneity and Wool Curvature
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PROVIDER: PRJNA772954 | ENA |
REPOSITORIES: ENA
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Project description:Here, Single-cell suspensions from the wavy wool and straight wool lambskins were prepared for unbiased single-cell RNA sequencing (scRNA-seq). Based on UAMP analysis, we identified 19 distinct populations from 15,830 single-cell transcriptomes and delineated their cellular identity from specific gene expression profiles. Furtherly, novel marker gene was applied in identifying dermal papilla cells isolated in vitro. By using pseudotime ordering analysis, we successfully constructed the epithelium cell lineage differentiation trajectory and revealed the dynamic gene expression profiles of matrix progenitors’ commitment to the hair shaft and inner root sheath (IRS) cells. Meanwhile, intercellular communication between different cell populations was inferred based on CellChat and the priori knowledge of ligand-receptor pairs, as a result strong intercellular communication and associated signaling pathways were revealed. Besides, to clarify the molecular mechanism of wool curvature, differentially expressed genes in specific cells between straight wool and curly wool were identified and analyzed. Our findings here provide unbiased and systematic view of transcriptional organization of sheep hair follicle, reveal the differentiation and spatial signatures underlying sheep hair follicle heterogeneity and wool curvature, which will provide a valuable resource for understanding the molecular pathways involved in sheep hair follicle development.
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2017-11-16 | GSE95785 | GEO
Project description:Our objective was to investigate differences in gene expression between 24 parasite-resistant hair and 24 susceptible wool lambs to determine genetic mechanisms involved in resistance to H. contortus. Half of the animals of each breed were infected and sacrificed at 3 or 27 days post-infection; the remaining animals were uninfected controls. Breed differences in abomasum and abomasal lymph node tissue gene expression were assessed using bovine cDNA microarrays. Over 60 transcripts differed between breeds for each tissue and infection status. Genes differentially expressed between hair and wool sheep 3 days PI were assessed for gene function and mechanisms for greater immune cell infiltration, abomasal tissue repair, Th17 response, and anticoagulation were present in parasite-resistant hair sheep. By 27 days PI, hair sheep had greater expression of genes involved in gut motility, inflammatory cytokines, and cell proliferation and differentiation compared to wool sheep. Changes in these processes indicate Caribbean hair sheep have a stronger inflammatory response when infected with H. contortus which may facilitate the increased parasite resistance observed in these sheep.
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Project description:Primary outcome(s): Comparison of the gene expression profile in hair follicle between cancer patients and healthy volunteer
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Project description:Guard hair and cashmere undercoat are developed from primary and secondary hair follicle, respectively. Little is known about the gene expression differences between primary and secondary hair follicle cycling. In this study, we obtained RNA-seq data from cashmere and milk goats grown at four different seasons. We studied the differentially expressed genes (DEGs) during the yearly hair follicle cycling, and between cashmere and milk goats. WNT, NOTCH, MAPK, BMP, TGFβ and Hedgehog signaling pathways were involved in hair follicle cycling in both cashmere and milk goat. However, Milk goat DEGs between different months were significantly more than cashmere goat DEGs, with the largest difference being identified in December. Some expression dynamics were confirmed by quantitative PCR and western blot, and immunohistochemistry. This study offers new information sources related to hair follicle cycling in milk and cashmere goats, which could be applicable to improve the wool production and quality.
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Project description:miRNA profiling of human plucked hair follicle from frontal and occipital scalp
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Project description:mRNA profiling of human plucked hair follicle from frontal and occipital scalp
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Project description:Sheep provide considerable materials for the animal fibre industry. Identifying genes of major effect for wool growth would offer strategies for improving the quality of fine wool. In this study, we employed Agilent Sheep Gene Expression Microarray and proteomic technology to investigate the gene expression patterns of body side skin between Aohan fine wool sheep and small tail Han sheep (two Chinese indigenous breed) at the anagen stage of wool follicle. Several potential gene families might participate in hair growth regulation, including fibroblast growth factors, transforming growth factor-β, WNTs, insulin-like growth factor, vascular endothelial growth factors and so on. Furthermore, according to the results at both mRNA and protein levels, similar regulation mechanism of gene activity might be engaged during skin development and embryo development.
2019-08-01 | GSE85844 | GEO
Project description:In this study, in order to explore the role of autophagy of human hair follicle stem cells in hair growth, we explored new ideas for hair regrowth. In this study, rapamycin was used to treat hair follicle stem cells to promote autophagy, and the different expression of genes was observed by comparing with the blank control group.
2024-01-10 | GSE229890 | GEO
Project description:Background: Sheep are valuable resources for the animal fibre industry. Therefore, identifying genes which regulate wool growth would offer strategies for improving the quality of fine wool. In this study, we employed Agilent sheep gene expression microarray and proteomic technology to compare the gene expression patterns of the body side (hair-rich) and groin (hairless) skins of Aohan fine wool sheep (a Chinese indigenous breed). Results: Comparing the body side to the groin skins (S/G) of Aohan fine wool sheep, the microarray study revealed that 1494 probes were differentially expressed, including 602 more highly expressed and 892 less highly expressed probes. The microarray results were verified by means of quantitative PCR. Cluster analysis could distinguish the body side skin and the groin skin. Based on the Database for Annotation, Visualization and Integrated Discovery (DAVID), 38 of the differentially expressed genes were classified into four categories, namely regulation of receptor binding, multicellular organismal process, protein binding and macromolecular complex. Proteomic study revealed that 187 protein spots showed significant (p < 0.05) differences in their respective expression levels. Among them, 46 protein entries were further identified by MALDI-TOF/MS analyses. Conclusions: Microarray analysis revealed thousands of differentially expressed genes, many of which were possibly associated with wool growth. Several potential gene families might participate in hair growth regulation. Proteomic analysis also indentified hundreds of differentially expressed proteins.
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