Evidence map›Paper›PMID 25646488›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Highly multiplexed profiling of single-cell effector functions reveals deep functional heterogeneity in response to pathogenic ligands.

Yao Lu, Qiong Xue, Markus R Eisele, Endah S Sulistijo, Kara Brower, Lin Han, El-Ad David Amir, Dana Pe'er, Kathryn Miller-Jensen, Rong Fan

Abstract readValidation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers.

0numbers the graph read from it
0cells of the map it votes in
145citing 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

145 citing papers in PubMed.

  1. Trial
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  4. Article
  5. Living single-cell metabolomicsChemical science · 2026
    Review
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  13. bioRxiv : the preprint server for biology · 2025
    Article
  14. Review
  15. Article
  16. Review
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  20. Article

85 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

10 authors.

Yao LuDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520;
Qiong XueDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520;
Markus R EiseleDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520; Institute for System Dynamics, University of Stuttgart, D-70563 Stuttgart, Germany;
Endah S SulistijoDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520;
Kara BrowerIsoPlexis, New Haven, CT 06511;
Lin HanDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520;
El-Ad David AmirDepartment of Biological Sciences, Columbia University, New York, NY 10027;
Dana Pe'erDepartment of Biological Sciences, Columbia University, New York, NY 10027;
Kathryn Miller-JensenDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520; Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520; Yale Comprehensive Cancer Center, New Haven, CT 06520; and rong.fan@yale.edu Kathryn.miller-jensen@yale.edu.
Rong FanDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520; Yale Comprehensive Cancer Center, New Haven, CT 06520; and Yale Stem Cell Center, Yale School of Medicine, New Haven, CT 06520 rong.fan@yale.edu Kathryn.miller-jensen@yale.edu.

Funding

The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
Detection of Protein Signal Transduction Signatures in Single CellsU01CA164252 · NCI · YALE UNIVERSITY · PI FAN, RONG, MILLER-JENSEN, KATHRYN · 2011 to 2013
$2.0M
Integrative Cancer Genomics: Drivers, Pathways and DrugsR01CA164729 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PE'ER, DANA · 2012 to 2016
$1.9M
Integrated Microchips for Informative Diagnosis of Cancer-immune InteractionsR00CA136759 · NCI · YALE UNIVERSITY · PI FAN, RONG · 2010 to 2012
$707k
NCI NIH HHS NIH R00 CA136759NCI NIH HHS NIH U01 CA164252NCI NIH HHS NIH U54 CA143798NCI NIH HHS R00 CA136759NCI NIH HHS R01 CA164729NCI NIH HHS R01CA164729NCI NIH HHS U01 CA164252NCI NIH HHS U54 CA143798
6 · The paper itself

Abstract

Despite recent advances in single-cell genomic, transcriptional, and mass-cytometric profiling, it remains a challenge to collect highly multiplexed measurements of secreted proteins from single cells for comprehensive analysis of functional states. Herein, we combine spatial and spectral encoding with polydimethylsiloxane (PDMS) microchambers for codetection of 42 immune effector proteins secreted from single cells, representing the highest multiplexing recorded to date for a single-cell secretion assay. Using this platform to profile differentiated macrophages stimulated with lipopolysaccharide (LPS), the ligand of Toll-like receptor 4 (TLR4), reveals previously unobserved deep functional heterogeneity and varying levels of pathogenic activation. Uniquely protein profiling on the same single cells before and after LPS stimulation identified a role for macrophage inhibitory factor (MIF) to potentiate the activation of LPS-induced cytokine production. Advanced clustering analysis identified functional subsets including quiescent, polyfunctional fully activated, partially activated populations with different cytokine profiles. This population architecture is conserved throughout the cell activation process and prevails as it is extended to other TLR ligands and to primary macrophages derived from a healthy donor. This work demonstrates that the phenotypically similar cell population still exhibits a large degree of intrinsic heterogeneity at the functional and cell behavior level. This technology enables full-spectrum dissection of immune functional states in response to pathogenic or environmental stimulation, and opens opportunities to quantify deep functional heterogeneity for more comprehensive and accurate immune monitoring.

Indexed as

Single-Cell AnalysisVirulenceHumansLigandsLipopolysaccharidesMacrophagesToll-Like Receptor 4U937 CellsLigandsLipopolysaccharidesTLR4 protein, humanToll-Like Receptor 4cellular heterogeneitycytokineimmune effector functionsingle-cell analysisToll-like receptor activation

Identifiers

PMID25646488
PMCPMC4343126

What OpenQuestion holds

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Registered trials

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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.