Evidence map›Paper›PMID 38165934›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Multiscale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma.

Clarisse Ganier, Pavel Mazin, Gabriel Herrera-Oropeza, Xinyi Du-Harpur, Matthew Blakeley, Jeyrroy Gabriel, Alexander V Predeus, Batuhan Cakir, Martin Prete, Nasrat Harun and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed.

  1. Article
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  6. Review
  7. Does Basal Cell Carcinoma Arise from a Precursor Lesion?The Journal of investigative dermatology · 2026
    Review
  8. Hidden immune memory niches in inflammatory skin diseases.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Article
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  15. Review
  16. Article
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  19. A single-cell spatial transcriptomic census of human skin anatomy.bioRxiv : the preprint server for biology · 2025
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Clarisse GanierCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.ORCID 0000-0003-1143-7905
Pavel MazinWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Gabriel Herrera-OropezaCentre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, United Kingdom.
Xinyi Du-HarpurCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.
Matthew BlakeleyCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.
Jeyrroy GabrielCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.
Alexander V PredeusWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Batuhan CakirWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Martin PreteWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Nasrat HarunCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.
Jean-Francois DarrigrandCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.
Alexander HaiserCentre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.
Saranya WylesDepartment of Dermatology, Mayo Clinic, Rochester, MN 55905.
Tanya ShawCentre for Inflammation Biology and Cancer Immunology, King's College London, London SE1 1UL, United Kingdom.
Sarah A TeichmannWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Muzlifah HaniffaWellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Fiona M Watt *Centre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.ORCID 0000-0001-9151-5154
Magnus D Lynch *Centre for Gene Therapy and Regenerative Medicine, King's College London, Guy's Hospital, London SE1 9RT, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Our understanding of how human skin cells differ according to anatomical site and tumour formation is limited. To address this, we have created a multiscale spatial atlas of healthy skin and basal cell carcinoma (BCC), incorporating in vivo optical coherence tomography, single-cell RNA sequencing, spatial global transcriptional profiling, and in situ sequencing. Computational spatial deconvolution and projection revealed the localisation of distinct cell populations to specific tissue contexts. Although cell populations were conserved between healthy anatomical sites and in BCC, mesenchymal cell populations including fibroblasts and pericytes retained signatures of developmental origin. Spatial profiling and in silico lineage tracing support a hair follicle origin for BCC and demonstrate that cancer-associated fibroblasts are an expansion of a

Indexed as

Basal Cell CarcinomaSkin NeoplasmsHair FollicleHumansSkinbasal cell carcinomafibroblastshuman cell atlassingle cell RNA sequencingskin

Identifiers

PMID38165934
PMCPMC10786309

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.