Evidence map›Paper›PMID 34653369›Full record

ArticleCell systems2022

Tissue schematics map the specialization of immune tissue motifs and their appropriation by tumors.

Salil S Bhate, Graham L Barlow, Christian M Schürch, Garry P Nolan

Abstract read
In one paragraph

Article in Cell systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Spatium: A Protein Language Foundation Model for Spatial Proteomics.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Comparative Evaluation of Antibody-Oligonucleotide Conjugation Strategies for Multiplexed Imaging Applications.Laboratory investigation; a journal of technical methods and pathology · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Spatially organized inflammatory myeloid-CD8bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Salil S BhateDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University Schools of Medicine and Engineering, Stanford University, Stanford, CA 94305, USA.
Graham L BarlowDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Program in Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.
Christian M SchürchDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany.
Garry P NolanDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA. Electronic address: gnolan@stanford.edu.

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI MICHAEL KENNEY · 2007 to 2026
$71.4M
Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI NOLAN, GARRY P · 2012 to 2021
$49.1M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Technology CoreU19AI135976 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI ADEREM, ALAN A · 2018 to 2022
$17.0M
The Cellular Geography of Therapeutic Resistance in CancerU2CCA233195 · NCI · DANA-FARBER CANCER INST · PI JOHNSON, BRUCE E. · 2018 to 2023
$13.7M
Project 3: Identifying plasma biomarkers predicting time to HIV rebound after treatment interruptionP01AI131374 · NIAID · J. DAVID GLADSTONE INSTITUTES · PI PILLAI, SATISH KUMAR · 2017 to 2021
$8.5M
The Lung PCA: A Multi-Dimensional Atlas of Pulmonary PremalignancyU2CCA233238 · NCI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI DUBINETT, STEVEN M., SPIRA, AVRUM E · 2018 to 2021
$7.0M
Stanford Tissue Mapping CenterU54HG010426 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2018 to 2021
$5.1M
Tissue Cytokine Sequestration and Immune Regulation in AutoimmunityU01AI101984 · NIAID · STANFORD UNIVERSITY · PI BOLLYKY, PAUL L · 2012 to 2021
$5.0M
Multiscale Modeling of Myelodysplastic SyndromesR01HL128173 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI COREY, SETH JOEL, KIMMEL, MAREK · 2015 to 2019
$3.8M
Balanced signaling cues to guide cell transitions in the blood lineage continuumR01HL120724 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHAKRABORTY, ARUP K., NOLAN, GARRY P · 2015 to 2019
$3.7M
Cancer Research UK C27165/A29073NCI NIH HHS F32 CA233203NCI NIH HHS F99 CA212231NCI NIH HHS P30 CA124435NCI NIH HHS R33 CA183692NCI NIH HHS U2C CA233195NCI NIH HHS U2C CA233238NHGRI NIH HHS U54 HG010426NHLBI NIH HHS R01 HL120724NHLBI NIH HHS R01 HL128173NIAID NIH HHS P01 AI131374NIAID NIH HHS T32 AI007290NIAID NIH HHS U01 AI101984NIAID NIH HHS U01 AI140498NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI100627NIAID NIH HHS U19 AI135976NIDDK NIH HHS UG3 DK114937
6 · The paper itself

Abstract

A schematic of a biological system, i.e., a representation of its pieces, how they are combined, and what they do, would facilitate understanding its essential organization and alteration in pathogenesis or evolution. We present a computational approach for constructing tissue schematics (TSs) from high-parameter imaging data and a biological model for interpreting them. TSs map the spatial assembly of cellular neighborhoods into tissue motifs, whose modular composition, we propose, enables the generation of complex outputs. We developed our approach in human lymphoid tissue (HLT), identifying the follicular outer zone as a potential relay between neighboring zones and a core lymphoid assembly with modifications characteristic of each HLT type. Applying the TS approach to the tumor microenvironment in human colorectal cancer identified a higher-order motif, whose mutated assembly was negatively associated with patient survival. TSs may therefore elucidate how immune architectures can be specialized and become vulnerable to reprogramming by tumors.

Indexed as

NeoplasmsTumor MicroenvironmentHumansModels, Biologicalcompositionalitycomputational analysis of tissue imaging datacomputational representations of biological systemsconceptual models for tissue behaviorhigh-parameter imagingimmune systemschematicstissue architecturetissue assemblytumor immunity

Identifiers

PMID34653369
PMCPMC12588373

What Socratic 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 Socratic graph.