Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Defining transcriptional signatures of human hair follicle cell states

ABSTRACT: Defining transcriptional signatures of human hair follicle cell states

PROVIDER: PRJNA531933 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8888420.fastq.gz	Fastqsanger.gz
	SRR8888421.fastq.gz	Fastqsanger.gz
	SRR8888422.fastq.gz	Fastqsanger.gz
	SRR8888423.fastq.gz	Fastqsanger.gz
	SRR8888424.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 14

Similar Datasets

Defining transcriptional signatures of human hair follicle cell states

Project description:Single Cell RNA sequencing of human hair follicles

2019-11-19 | GSE129611 | GEO

Defining Transcriptional Signatures of Human Hair Follicle Cell States.

Project description:The epidermis and its appendage, the hair follicle, represent an elegant developmental system in which cells are replenished with regularity because of controlled proliferation, lineage specification, and terminal differentiation. Although transcriptome data exists for human epidermal and dermal cells, the hair follicle remains poorly characterized. Through single-cell resolution profiling of the epidermis and anagen hair follicle, we characterized the anatomical, transcriptional, functional, and pathological profiles of distinct epidermal, hair follicle, and hair follicle-associated cell subpopulations including melanocytes, endothelial cells, and immune cells. We additionally traced the differentiation trajectory of interfollicular and matrix cell progenitors and explored the association of specific cell subpopulations to known molecular signatures of common skin conditions. These data simultaneously corroborate prior murine and human studies while offering new insights into epidermal and hair follicle differentiation and pathogenesis.

| S-EPMC7093259 | biostudies-literature

Less invasive diagnostics for cancer using hair follicle

Project description:Primary outcome(s): Comparison of the gene expression profile in hair follicle between cancer patients and healthy volunteer

| 2628246 | ecrin-mdr-crc

Genome-wide maps of histone modifications unwind in vivo chromatin states of the hair follicle lineage

Project description:Mouse hair follicles (HFs) undergo synchronized cycles. Cyclical regeneration and hair growth is fueled by stem cells (SCs). During the rest phase, the HF-SCs remain quiescent due to extrinsic inhibitory signals within the niche. As activating cues accumulate, HF-SCs become activated, proliferate, and grow downward to form transient-amplifying matrix progenitor cells. We used microarrays to detect the relative levels of global gene expression underlying the states of hair follicle stem cells and their transient-amplifying progeny before differentiation. Quiescent hair follicle stem cells (qHF-SCs), activated hair follicle stem cells (aHF-SCs) and transient-amplifying matrix cells (HF-TACs) were FACS-purified for RNA extraction and hybridization on Affymetrix microarrays. To obtain homogeneous populations of expression profiles, we applied the FACS technique to purify SC and TACs according to their cell surface markers.

2011-09-01 | E-GEOD-31028 | biostudies-arrayexpress

Genome-wide maps of histone modifications unwind in vivo chromatin states of the hair follicle lineage [ChIP-Seq]

Project description:Mouse hair follicles undergo synchronized cycles. Cyclical regeneration and hair growth is fueled by stem cells (SCs). During the rest phase, the HF-SCs remain quiescent due to extrinsic inhibitory signals within the niche. As activating cues accumulate, HF-SCs become activated, proliferate, and grows downward to form transient-amplifying matrix progenitor cells. We used ChIP-seq to reveal the genome-wide maps of histone modifications underlying the states of hair follicle stem cells and their transient-amplifying progeny before differentiation. Quiescent hair follicle stem cells (qHF-SCs), activated hair follicle stem cells (aHF-SCs) and transient-amplifying matrix cells (HF-TACs) were FACS-purified for ChIP-sequcencing.

2011-09-02 | E-GEOD-31239 | biostudies-arrayexpress

Autophagy induces hair follicle stem cell activation and hair follicle regeneration by regulating glycolysis

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

mRNA profiling of human plucked hair follicle

Project description:mRNA profiling of human plucked hair follicle from frontal and occipital scalp

| EGAD00010001501 | EGA

miRNA profiling of human plucked hair follicle

Project description:miRNA profiling of human plucked hair follicle from frontal and occipital scalp

| EGAD00010001500 | EGA

Nfatc1 Orchestrates Aging in Hair Follicle Stem Cells

Project description:Mouse hair follicles undergo synchronized cycles. Cyclical regeneration and hair growth is fueled by hair follicle stem cells (HFSCs). We used ChIP-seq to unfold genome-wide chromatin landscapes of Nfatc1 and dissect the biological relevence of its upstream BMP signaling in HFSC aging. Telogen quiescent hair follicle stem cells (HFSCs) were FACS-purified for ChIP-sequcencing.

2013-11-14 | E-GEOD-52328 | biostudies-arrayexpress

Transcription profiling of Lgr6+ keratinocyte populations in the epidermis and hair follicle

Project description:RNA sequencing was performed on sorted populations of Lgr6-positive and Lgr6-negative keratinocytes from the interfollicular epidermis and the hair follicle/sebaceous gland, in order to determine the compartment-specific expression signatures of Lgr6+ progenitor cells.

2015-10-22 | E-MTAB-3533 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data