Evidence map›Paper›PMID 39559817›Full record

ArticleJID innovations : skin science from molecules to population health2025

Spatial Transcriptomics in Inflammatory Skin Diseases Using GeoMx Digital Spatial Profiling: A Practical Guide for Applications in Dermatology.

Christina Cho, Nazgol-Sadat Haddadi, Michal Kidacki, Gavitt A Woodard, Saeed Shakiba, Ümmügülsüm Yıldız-Altay, Jillian M Richmond, Matthew D Vesely

Abstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Basic Principles of Skin Biopsy Optimization in Dermatopathology.Dermatopathology (Basel, Switzerland) · 2026
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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

8 authors.

Christina ChoDepartment of Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA.
Nazgol-Sadat HaddadiDepartment of Dermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Michal KidackiDepartment of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.
Gavitt A WoodardDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Saeed ShakibaDepartment of Dermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Ümmügülsüm Yıldız-AltayDepartment of Dermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Jillian M RichmondDepartment of Dermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Matthew D VeselyDepartment of Dermatology, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
Role of VISTA in discoid lupus erythematosusK08AR080777 · NIAMS · YALE UNIVERSITY · PI Matthew D Vesely · 2022 to 2026
$858k
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIAMS NIH HHS K08 AR080777
6 · The paper itself

Abstract

The spatial organization of the skin is critical for its function. In particular, the skin immune microenvironment is arranged spatially and temporally, such that imbalances in the immune milieu are indicative of disease. Spatial transcriptomic platforms are helping to provide additional insights into aberrant inflammation in tissues that are not captured by tissue processing required for single-cell RNA sequencing. In this paper, we discuss a technical and user experience overview of NanoString's GeoMx Digital Spatial Profiler to perform in-depth spatial analysis of the transcriptome in inflammatory skin diseases. Our objective is to provide potential pitfalls and methods to optimize RNA capture that are not readily available in the manufacturer's guidelines. We use concrete examples from our experiments to demonstrate these strategies in inflammatory skin diseases, including psoriasis, lichen planus, and discoid lupus erythematosus. Overall, we hope to illustrate the potential of digital spatial profiling to dissect skin disease pathogenesis in a spatially resolved manner and provide a framework for other skin biology investigators using digital spatial profiling.

Indexed as

Cutaneous lupusDigital spatial profilingLichen planusPsoriasisSpatial transcriptomics

Identifiers

PMID39559817
PMCPMC11570843

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.