ArticleJAAD international2020
Single-cell transcriptomics in dermatology.
Article in JAAD international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05213936 (Scalp Cooling for Chemotherapy-Induced Alopecia in Patients of Color), which is not on this map. Cited by 5 papers.
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.
Scalp Cooling for Chemotherapy-Induced Alopecia in Patients of Color: A Clinical and Mechanistic Study
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Multispecies Transcriptomics of Mammalian Skin Reveals Conserved and Divergent Regulatory Features.International journal of molecular sciences · 2026Article
- Epithelial-Dermal Immune Memory: TrackingInternational journal of molecular sciences · 2026Review
- Single-cell transcriptomics reveals hair growth retardation mediated by aberrant connective tissue sheath contraction in male androgenetic alopecia.Nature communications · 2026Article
- Emerging Techniques in Spatial Multiomics: Fundamental Principles and Applications to Dermatology.The Journal of investigative dermatology · 2025Review
- Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology.Life (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The skin is an ecosystem composed of specialized cell types that work together to serve as a physical protective barrier. Single-cell resolution is therefore essential to deconvolve skin's heterogeneity by identifying novel, distinct cell subsets in health and disease. Single-cell RNA sequencing is a highly meticulous methodology used to study the distinct transcriptional profiles of each cell within large tissue libraries at uniquely high resolution. The investigative capabilities achieved by this methodology allow previously unattainable analyses, including identification of rare cell populations, evaluation of cell-to-cell variation, and the ability to track trajectories of distinct cell lineages through development. In the past decade, application of transcriptomic analysis to skin biology and dermatology has greatly advanced understanding of homeostatic physiology in the skin, as well as a multitude of dermatologic diseases. Single-cell RNA sequencing offers tremendous promise for identification of novel therapeutic targets in dermatologic diseases, with broad implications of improving therapeutic interventions.
Indexed as
Identifiers
What OpenQuestion holds
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.