ReviewThe Journal of investigative dermatology2023
A Roadmap for a Consensus Human Skin Cell Atlas and Single-Cell Data Standardization.
Review in The Journal of investigative dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards a consensus atlas of human and mouse adipose tissue at single-cell resolution.Nature metabolism · 2025Guideline
- Mitochondrial transfer via ADSC-EVs reprograms glucose/glutamine metabolism to restore TCA cycle-driven M2 polarization in diabetic wounds.Journal of nanobiotechnology · 2026Article
- Spatial transcriptomics identifies immune-stromal niches associated with cancer in adult dermatomyositis.Nature communications · 2026Article
- An updated guide to hair follicle stem cell markers and changes in their expression with aging.JID innovations : skin science from molecules to population health · 2026Review
- An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.Cell press blue · 2026Article
- The role of vitamin D receptor signaling in hair follicle health and alopecia: Current understanding and therapeutic implications.Journal of cell communication and signaling · 2026Review
- Heterogeneity in Atopic Dermatitis: Ethnic, Anatomical Site, and Age-related Variations.Clinical reviews in allergy & immunology · 2026Review
- 4D multimodal wound healing atlas reveals organ-level controls of repair phase transitions.bioRxiv : the preprint server for biology · 2026Article
- Decoding Treg diversity and dysfunction to advance Treg-based therapies in autoimmune and inflammatory diseases.Frontiers in immunology · 2026Review
- Topographical variations in the skin barrier and their role in disease pathogenesis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2025Review
- The spatial and single-cell landscape of skin: Charting the multiscale regulation of skin immune function.Seminars in immunology · 2025Review
- Spatial Transcriptomics Identifies Immune-Stromal Niches Associated with Cancer in Adult Dermatomyositis.bioRxiv : the preprint server for biology · 2025Article
- Article
- Reprogramming of epidermal keratinocytes by PITX1 transforms the cutaneous cellular landscape and promotes wound healing.JCI insight · 2024Article
- Tissue comparability and bias in hidradenitis suppurativa transcriptomic studies.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Translational frontiers: insight from lymphatics in skin regeneration.Frontiers in physiology · 2024Review
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Single-cell technologies have become essential to driving discovery in both basic and translational investigative dermatology. Despite the multitude of available datasets, a central reference atlas of normal human skin, which can serve as a reference resource for skin cell types, cell states, and their molecular signatures, is still lacking. For any such atlas to receive broad acceptance, participation by many investigators during atlas construction is an essential prerequisite. As part of the Human Cell Atlas project, we have assembled a Skin Biological Network to build a consensus Human Skin Cell Atlas and outline a roadmap toward that goal. We define the drivers of skin diversity to be considered when selecting sequencing datasets for the atlas and list practical hurdles during skin sampling that can result in data gaps and impede comprehensive representation and technical considerations for tissue processing and computational analysis, the accounting for which should minimize biases in cell type enrichments and exclusions and decrease batch effects. By outlining our goals for Atlas 1.0, we discuss how it will uncover new aspects of skin biology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.