Evidence map›Paper›PMID 30778242›Full record

ArticleNature immunology2019

Quantifying in situ adaptive immune cell cognate interactions in humans.

Vladimir M Liarski, Adam Sibley, Nicholas van Panhuys, Junting Ai, Anthony Chang, Domenick Kennedy, Maria Merolle, Ronald N Germain, Maryellen L Giger, Marcus R Clark

Abstract read
In one paragraph

Article in Nature immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Clinical Impact of Immune Cells and Their Spatial Interactions in Diffuse Large B-Cell Lymphoma Microenvironment.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  10. Article
  11. Spatial immunoprofiling of the intratumoral and peritumoral tissue of renal cell carcinoma patients.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  12. Cellular aspects of the pathogenesis of lupus nephritis.Current opinion in rheumatology · 2021
    Review
  13. Article
  14. Artificial intelligence and the hunt for immunological disorders.Current opinion in allergy and clinical immunology · 2020
    Review
  15. Tumor Targeting by αACS nano · 2020
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Vladimir M LiarskiDepartment of Medicine, Section of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-7533-0491
Adam SibleyDepartment of Radiology and Committee on Medical Physics, University of Chicago, Chicago, IL, USA.
Nicholas van PanhuysLaboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-2199-852X
Junting AiDepartment of Medicine, Section of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, USA.
Anthony ChangDepartment of Pathology, University of Chicago, Chicago, IL, USA.
Domenick KennedyDepartment of Medicine, Section of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-5329-3711
Maria MerolleDepartment of Medicine, Section of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, USA.
Ronald N GermainLaboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.
Maryellen L GigerDepartment of Radiology and Committee on Medical Physics, University of Chicago, Chicago, IL, USA. m-giger@uchicago.edu.ORCID http://orcid.org/0000-0001-5482-9728
Marcus R ClarkDepartment of Medicine, Section of Rheumatology and Gwen Knapp Center for Lupus and Immunology Research, University of Chicago, Chicago, IL, USA. mclark@uchicago.edu.ORCID http://orcid.org/0000-0003-4747-0387

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI LIU, CAMBRIAN YANGSHAO · 1990 to 2025
$29.8M
Multiscale Analysis of Immune ResponsesZIAAI000545 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GERMAIN, RONALD N · 2009 to 2025
$29.4M
Functional Biology Of T CellsZIAAI000758 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI GERMAIN, RONALD N · 2009 to 2025
$15.4M
University of Chicago Autoimmunity Center of ExcellenceU19AI082724 · NIAID · UNIVERSITY OF CHICAGO · PI CLARK, MARCUS RAMSAY · 2009 to 2023
$7.2M
RESEARCH TRAINING IN MEDICAL PHYSICST32EB002103 · NIBIB · UNIVERSITY OF CHICAGO · PI ARMATO, SAMUEL G. · 2003 to 2019
$4.7M
Tertiary Lymphoid Neogenesis in Human Lupus NephritisR01AR055646 · NIAMS · UNIVERSITY OF CHICAGO · PI CLARK, MARCUS RAMSAY · 2008 to 2018
$3.4M
Quantitative Image Analysis for Assessing Response to Breast Cancer TherapyU01CA195564 · NCI · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2015 to 2019
$2.5M
Beagle-2S10OD018495 · OD · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2014 to 2014
$2.0M
Characterizing in situ T cell:dendritic cell networks in human lupus nephritis and renal allograft rejectionK08AR068421 · NIAMS · UNIVERSITY OF CHICAGO · PI LIARSKI, VLADIMIR M · 2015 to 2018
$611k
Protected Radiomics Analysis Commons for Deep Learning in Biomedical DiscoveryS10OD025081 · OD · UNIVERSITY OF CHICAGO · PI GIGER, MARYELLEN L. · 2018 to 2018
$339k
NCI NIH HHS P30 CA014599NCI NIH HHS U01 CA195564NIAID NIH HHS U19 AI082724NIAMS NIH HHS K08 AR068421NIAMS NIH HHS R01 AR055646NIBIB NIH HHS T32 EB002103NIDDK NIH HHS P30 DK042086NIH HHS S10 OD018495NIH HHS S10 OD025081
6 · The paper itself

Abstract

Two-photon excitation microscopy (TPEM) has revolutionized the understanding of adaptive immunity. However, TPEM usually requires animal models and is not amenable to the study of human disease. The recognition of antigen by T cells requires cell contact and is associated with changes in T cell shape. We postulated that by capturing these features in fixed tissue samples, we could quantify in situ adaptive immunity. Therefore, we used a deep convolutional neural network to identify fundamental distance and cell-shape features associated with cognate help (cell-distance mapping (CDM)). In mice, CDM was comparable to TPEM in discriminating cognate T cell-dendritic cell (DC) interactions from non-cognate T cell-DC interactions. In human lupus nephritis, CDM confirmed that myeloid DCs present antigen to CD4

Indexed as

Adaptive ImmunityMicroscopy, Fluorescence, MultiphotonAnimalsCell NucleusDendritic CellsHumansLupus NephritisMiceMice, TransgenicNeural Networks, ComputerT-Lymphocytes

Identifiers

PMID30778242
PMCPMC6474677

What OpenQuestion holds

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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.