Evidence map›Paper›PMID 22476049›Full record

ReviewTrends in immunology2012

A deep profiler's guide to cytometry.

Sean C Bendall, Garry P Nolan, Mario Roederer, Pratip K Chattopadhyay

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Trends in immunology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03885713 (Identification of Predictive Biomarkers for Response to Biologic Therapies and Tofacitinib in Inflammatory Bowel Disease by Proteomic and Mass Cytometry Approaches), which is not on this map. Cited by 332 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
332citing papers in PubMed, 1 pooled it
19.5field-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.

NCT03885713 phase4completednot on this mapstarted 2019, after this paper: background citation

Identification of Predictive Biomarkers for Response to Biologic Therapies and Tofacitinib in Inflammatory Bowel Disease by Proteomic and Mass Cytometry Approaches

TypeinterventionalSponsorFundación de Investigación Biomédica - Hospital Universitario de La PrincesaRan2019 to 2024Enrolled180ConditionsInflammatory Bowel Diseases, Crohn Disease, Ulcerative ColitisArmsInfliximab or adalimumab or golimumab or vedolizumab or ustekinumab or tofacitinib
3 · Its place in the literature

Who cites it

332 citing papers in PubMed, 1 synthesis or guideline pooled it, 651 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Rhenium-Based β-Galactosidase Probe Allows Senescence Profiling by Mass Cytometry.Angewandte Chemie (International ed. in English) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Spectral Flow Cytometry: The Current State and Future of the Technology.International journal of molecular sciences · 2025
    Review
  20. Mass Spectrometry-based Solutions for Single-cell Proteomics.Genomics, proteomics & bioinformatics · 2025
    Review

272 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

4 authors at 2 institutions in 1 country.

Sean C BendallBaxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.
Garry P Nolan
Mario Roederer
Pratip K Chattopadhyay
Baxter (United States) · USStanford University · US

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
Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ULEVITCH, RICHARD J · 2012 to 2021
$49.1M
TRIGGERING CELL DEATH IN B CELL LYMPHOMAP01CA034233 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 1985 to 2010
$19.5M
Development Of Flow Cytometric Technologies For Immune AssaysZIAAI005020 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI ROEDERER, MARIO · 2009 to 2019
$9.6M
Software & Hardware Inference Engines for Automated Determination of Primary CellR01CA130826 · NCI · STANFORD UNIVERSITY · PI NOLAN, GARRY P · 2008 to 2011
$6.7M
MECHANISTIC STUDIES IN THE BIOSYNTHESIS OF ACETYLENESF32CA009011 · NCI · BROWN UNIVERSITY · PI CASEBIER, DAVID S · 1990 to 1992
–
Intramural NIH HHS Z99 AI999999Intramural NIH HHS ZIA AI005020NCI NIH HHS 1R01CA130826NCI NIH HHS CA 09-011NCI NIH HHS P01 CA034233NCI NIH HHS R01 CA130826NIAID NIH HHS HHSN272200700038CNIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI100627
6 · The paper itself

Abstract

In recent years, advances in technology have provided us with tools to quantify the expression of multiple genes in individual cells. The ability to measure simultaneously multiple genes in the same cell is necessary to resolve the great diversity of cell subsets, as well as to define their function in the host. Fluorescence-based flow cytometry is the benchmark for this; with it, we can quantify 18 proteins per cell, at >10 000 cells/s. Mass cytometry is a new technology that promises to extend these capabilities significantly. Immunophenotyping by mass spectrometry provides the ability to measure >36 proteins at a rate of 1000 cells/s. We review these cytometric technologies, capable of high-content, high-throughput single-cell assays.

Indexed as

AnimalsCell SurvivalCytophotometryHumans

Identifiers

PMID22476049
PMCPMC3383392
OpenAlexW2015671099

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.