Evidence map›Paper›PMID 31633026›Full record

ArticleScience advances2019

MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure.

Leeat Keren, Marc Bosse, Steve Thompson, Tyler Risom, Kausalia Vijayaragavan, Erin McCaffrey, Diana Marquez, Roshan Angoshtari, Noah F Greenwald, Harris Fienberg and 9 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 288 papers.

0numbers the graph read from it
0cells of the map it votes in
288citing papers in PubMed
13.4field-weighted citation impact, top 1% of its field
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

288 citing papers in PubMed, 438 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Therapeutic remodeling of the tuberculosis granuloma with 1-methyl-D-tryptophan enhances CD8Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article

228 more citing papers are in PubMed but not listed here.

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

19 authors at 1 institution in 1 country.

Leeat KerenDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0002-6799-6303
Marc BosseDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0003-4912-8059
Steve ThompsonDepartment of Pathology, Stanford University, Stanford, CA.
Tyler RisomDepartment of Pathology, Stanford University, Stanford, CA.
Kausalia VijayaragavanDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0002-9830-5704
Erin McCaffreyDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0001-7241-1798
Diana MarquezDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0001-5343-8696
Roshan AngoshtariDepartment of Pathology, Stanford University, Stanford, CA.
Noah F GreenwaldDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0002-7836-4379
Harris FienbergDepartment of Pathology, Stanford University, Stanford, CA.
Jennifer WangDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0001-5238-7989
Neeraja KambhamDepartment of Pathology, Stanford University, Stanford, CA.
David KirkwoodDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0002-6629-9901
Garry NolanDepartment of Microbiology and Immunology, Stanford University, Stanford, CA.ORCID 0000-0002-8862-9043
Thomas J MontineDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0002-1346-2728
Stephen J GalliDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0001-5736-5340
Robert WestDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0002-8330-8283
Sean C BendallDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0003-1341-2453
Michael AngeloDepartment of Pathology, Stanford University, Stanford, CA.ORCID 0000-0003-1531-5067
Stanford University · US

Funding

Collaboratory of AIDS Researchers for Eradication (CARE)UM1AI164567 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2021 to 2026
$31.6M
MOLECULAR &CELLULAR IMMUNOBIOLOGYT32AI007290 · NIAID · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Olivia M Martinez · 1985 to 2026
$27.0M
Stanford Cancer Immune Monitoring and Analysis Center (CIMAC)U24CA224309 · NCI · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Holden T. Maecker · 2017 to 2026
$19.9M
Udall Center Director's meeting poster awardP50NS062684 · NINDS · UNIVERSITY OF WASHINGTON · PI MONTINE, THOMAS J · 2009 to 2020
$18.3M
Tracking allergen specific T cells in multi-food allergyU19AI104209 · NIAID · STANFORD UNIVERSITY · PI GALLI, STEPHEN JOSEPH · 2013 to 2025
$17.3M
Stanford/UNC Biomimetic U19 Research CenterU19AI116484 · NIAID · STANFORD UNIVERSITY · PI AMIEVA, MANUEL R, KUO, CALVIN J · 2015 to 2025
$13.5M
MIRIAD - Multiplexed Imaging of Resilience In Alzheimers DiseaseR01AG057915 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$4.5M
Genomic Evolution of Breast CancerR01CA183904 · NCI · STANFORD UNIVERSITY · PI SIDOW, AREND, WEST, ROBERT B · 2015 to 2018
$2.6M
The Phenotypic Landscape of Cognitive Decline as Revealed by Next-Generation Multiplexed Ion Beam ImagingR01AG056287 · NIA · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL, BENDALL, SEAN CURTIS · 2017 to 2021
$2.6M
Origins of human blood lineages in regenerative medicineDP2EB024246 · NIBIB · STANFORD UNIVERSITY · PI BENDALL, SEAN CURTIS · 2016 to 2016
$2.4M
Predictive signatures in breast cancer using multiplexed ion beam imagingDP5OD019822 · OD · STANFORD UNIVERSITY · PI ANGELO, ROBERT MICHAEL · 2014 to 2018
$2.0M
RabGEF1 in MyD88 signaling, skin immunity, and atopic dermatitisR01AR067145 · NIAMS · STANFORD UNIVERSITY · PI GALLI, STEPHEN JOSEPH · 2015 to 2019
$1.9M
NCI NIH HHS R01 CA183904NCI NIH HHS U24 CA224309NIAID NIH HHS AI07290NIAID NIH HHS T32 AI007290NIAID NIH HHS U19 AI104209NIAID NIH HHS U19 AI116484NIAID NIH HHS UM1 AI164567NIAMS NIH HHS R01 AR067145NIA NIH HHS R01 AG056287NIA NIH HHS R01 AG057915NIA NIH HHS R21 AG032494NIBIB NIH HHS DP2 EB024246NIDA NIH HHS R01 DA022550NIGMS NIH HHS K99 GM104148NIGMS NIH HHS R00 GM104148NIH HHS DP5 OD019822NINDS NIH HHS P50 NS062684
6 · The paper itself

Abstract

Understanding tissue structure and function requires tools that quantify the expression of multiple proteins while preserving spatial information. Here, we describe MIBI-TOF (multiplexed ion beam imaging by time of flight), an instrument that uses bright ion sources and orthogonal time-of-flight mass spectrometry to image metal-tagged antibodies at subcellular resolution in clinical tissue sections. We demonstrate quantitative, full periodic table coverage across a five-log dynamic range, imaging 36 labeled antibodies simultaneously with histochemical stains and endogenous elements. We image fields of view up to 800 μm × 800 μm at resolutions down to 260 nm with sensitivities approaching single-molecule detection. We leverage these properties to interrogate intrapatient heterogeneity in tumor organization in triple-negative breast cancer, revealing regional variability in tumor cell phenotypes in contrast to a structured immune response. Given its versatility and sample back-compatibility, MIBI-TOF is positioned to leverage existing annotated, archival tissue cohorts to explore emerging questions in cancer, immunology, and neurobiology.

Indexed as

AntibodiesAstrocytesGlial Fibrillary Acidic ProteinHumansMetalsMicrofilament ProteinsMicrogliaPalatine TonsilPhenotypeSpectrometry, Mass, Secondary IonTriple Negative Breast NeoplasmsAntibodiesGlial Fibrillary Acidic ProteinMetalsMicrofilament Proteins

Identifiers

PMID31633026
PMCPMC6785247
OpenAlexW2979301772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.