Evidence map›Paper›PMID 39837466›Full record

ReviewThe Journal of allergy and clinical immunology2025

Techniques and analytic workflow for spatial transcriptomics and its application to allergy and inflammation.

Haihan Zhang, Matthew T Patrick, Jingyu Zhao, Xintong Zhai, Jialin Liu, Zheng Li, Yiqian Gu, Joshua Welch, Xiang Zhou, Robert L Modlin and 2 more

Abstract readReview
In one paragraph

Review in The Journal of allergy and clinical immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Inflammatory niches as spatial drivers of disease mechanisms and targets for personalized treatment.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Review
  7. Immune functions of the esophagus.The Journal of allergy and clinical immunology · 2026
    Review
  8. Article
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

12 authors.

Haihan ZhangDepartment of Biostatistics, University of Michigan, Ann Arbor, Mich.
Matthew T PatrickDepartment of Dermatology, University of Michigan Medical School, Ann Arbor, Mich.
Jingyu ZhaoDepartment of Biostatistics, University of Michigan, Ann Arbor, Mich.
Xintong ZhaiDepartment of Biostatistics, University of Michigan, Ann Arbor, Mich.
Jialin LiuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Mich.
Zheng LiDepartment of Biostatistics, University of Michigan, Ann Arbor, Mich.
Yiqian GuDepartment of Internal Medicine, Division of Dermatology, UCLA, Los Angeles, Calif.
Joshua WelchDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Mich; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Mich.
Xiang ZhouDepartment of Biostatistics, University of Michigan, Ann Arbor, Mich.
Robert L ModlinDepartment of Internal Medicine, Division of Dermatology, UCLA, Los Angeles, Calif.
Lam C TsoiDepartment of Biostatistics, University of Michigan, Ann Arbor, Mich; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Mich. Electronic address: alextsoi@med.umich.edu.
Johann E GudjonssonDepartment of Dermatology, University of Michigan Medical School, Ann Arbor, Mich; Taubman Medical Research Institute, University of Michigan Medical School, Ann Arbor, Mich. Electronic address: johanng@med.umich.edu.

Funding

Molecular Analysis of the Host Immune Response in LeprosyR01AI022553 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROBERT L MODLIN · 1989 to 2026
$15.7M
TCR GAMMA/DELTA LYMPHOCYTES IN HUMAN SKIN LESIONSR01AR040312 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MODLIN, ROBERT L · 1990 to 2025
$10.4M
Microbiology and Metagenomics CoreP50AR080594 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROBERT L MODLIN · 2022 to 2026
$9.2M
University of Michigan Skin Biology and Diseases Resource-based CenterP30AR075043 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANDRZEJ A. DLUGOSZ · 2019 to 2026
$6.6M
Immunogenomics and Systems Biology CoreUC2AR081033 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Johann Eli Gudjonsson, Lam Cheung Tsoi · 2022 to 2026
$3.3M
Dynamics of the cellular and molecular architecture of human pulmonary TB granulomasR01AI166313 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROBERT L MODLIN · 2022 to 2026
$3.2M
Integrative and trans-ethnic study to understand psoriasis associated signalsR01AR080662 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lam Cheung Tsoi · 2023 to 2026
$1.4M
Integrative Biology Approach to Identify and Characterize Roles of lncRNAs Associated with Psoriasis PathologyK01AR072129 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI TSOI, LAM CHEUNG · 2017 to 2021
$500k
NIAID NIH HHS R01 AI022553NIAID NIH HHS R01 AI166313NIAMS NIH HHS K01 AR072129NIAMS NIH HHS P30 AR075043NIAMS NIH HHS P50 AR080594NIAMS NIH HHS R01 AR040312NIAMS NIH HHS R01 AR080662NIAMS NIH HHS UC2 AR081033
6 · The paper itself

Abstract

Spatial profiling, through single-cell gene-level expression data paired with cell localization, offers unprecedented biologic insights within the intact spatial context of cells in healthy and diseased tissue, adding a novel dimension to data interpretation. This review summarizes recent developments in this field, its application to allergy and inflammation, and recent single-cell resolution platforms designed for spatial transcriptomics with a focus on data processing and analyses for efficient biologic interpretation of data. By preserving spatial context, these technologies provide critical insights into tissue architecture and cellular interactions that are unattainable with traditional transcriptomics methods, such as revealing localized inflammatory cell network in atopic dermatitis and T-cell interactions in the lung in chronic obstructive pulmonary disease. Spatial profiling offers opportunities for discovering novel biomarkers, defining compartmentalization of immune responses within tissues and individual diseases, and accelerating novel discoveries toward a greater understanding of fundamental disease mechanisms and, eventually, toward the development of future targeted therapies.

Indexed as

Gene Expression ProfilingHypersensitivityInflammationTranscriptomeAnimalsHumansSingle-Cell AnalysisWorkflowallergy and skin biologySpatial profilingspatial transcriptomics

Identifiers

PMID39837466
PMCPMC11875981

What OpenQuestion holds

Textmetadata
LicenceTDM
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.