HCA Data Explorer

Defining Transcriptional Signatures of Human Hair Follicle Cell States

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Updated September 30, 2022

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.

William E LowryUniversity of Californiablowry@ucla.edu
Rie Takahashi1
Adrienne Grzenda1
Thomas F Allison1
Jeffrey Rawnsley1
Samuel J Balin1
Shan Sabri1
Kathrin Plath1
William E Lowry1
1University of California
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/8b9cb6ae-6a43-4e47-b9fb-3df7aeec941f
None
GEO Series Accessions:

Atlas

None

Analysis Portals

None

Project Label

TranscriptionalFeaturesHairFollicles

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

skin of body

Organ Part

skin of scalp

Selected Cell Types

Unspecified

Disease Status (Specimen)

normal

Disease Status (Donor)

normal

Development Stage

post-embryonic stage

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

10x_analysis, dropSeq_analysis

File Format

4 file formats

Cell Count Estimate

1.4k

Donor Count

5
fastq.gz30 file(s)tsv.gz2 file(s)txt.gz3 file(s)xlsx1 file(s)