Evidence map›Paper›PMID 23339603›Full record

ArticleAnalytical chemistry2013

High-throughput secretomic analysis of single cells to assess functional cellular heterogeneity.

Yao Lu, Jonathan J Chen, Luye Mu, Qiong Xue, Yu Wu, Pei-Hsun Wu, Jie Li, Alexander O Vortmeyer, Kathryn Miller-Jensen, Denis Wirtz and 1 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Single Cell-Pair Proteomics for Decoding Immune-Cancer Cell Interactions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Lab on a Particle Technologies.Analytical chemistry · 2024
    Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

29 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

11 authors.

Yao LuDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut 06520, United States.
Jonathan J Chen
Luye Mu
Qiong Xue
Yu Wu
Pei-Hsun Wu
Jie Li
Alexander O Vortmeyer
Kathryn Miller-Jensen
Denis Wirtz
Rong Fan

Funding

TRANS NETWORK PROJECTSU54CA143868 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2009 to 2013
$13.7M
The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
Single-cell phenotyping for therapeutic stratification in pancreatic cancerR01CA174388 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2012 to 2016
$3.8M
Detection of Protein Signal Transduction Signatures in Single CellsU01CA164252 · NCI · YALE UNIVERSITY · PI FAN, RONG, MILLER-JENSEN, KATHRYN · 2011 to 2013
$2.0M
The nucleus-cytoskeleton connection in health and diseaseR01GM084204 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HODZIC, DIDIER, WIRTZ, DENIS · 2008 to 2011
$1.5M
Integrated Microchips for Informative Diagnosis of Cancer-immune InteractionsR00CA136759 · NCI · YALE UNIVERSITY · PI FAN, RONG · 2010 to 2012
$707k
NCI NIH HHS 1 U01 CA164252NCI NIH HHS 4R00 CA136759NCI NIH HHS R00 CA136759NCI NIH HHS R01 CA174388NCI NIH HHS U01 CA164252NCI NIH HHS U54 CA143798NCI NIH HHS U54 CA143868NCI NIH HHS U54CA143868NIGMS NIH HHS R01 GM084204
6 · The paper itself

Abstract

Secreted proteins dictate a range of cellular functions in human health and disease. Because of the high degree of cellular heterogeneity and, more importantly, polyfunctionality of individual cells, there is an unmet need to simultaneously measure an array of proteins from single cells and to rapidly assay a large number of single cells (more than 1000) in parallel. We describe a simple bioanalytical assay platform consisting of a large array of subnanoliter microchambers integrated with high-density antibody barcode microarrays for highly multiplexed protein detection from over a thousand single cells in parallel. This platform has been tested for both cell lines and complex biological samples such as primary cells from patients. We observed distinct heterogeneity among the single cell secretomic signatures that, for the first time, can be directly correlated to the cells' physical behavior such as migration. Compared to the state-of-the-art protein secretion assay such as ELISpot and emerging microtechnology-enabled assays, our approach offers both high throughput and high multiplicity. It also has a number of clinician-friendly features such as ease of operation, low sample consumption, and standardized data analysis, representing a potentially transformative tool for informative monitoring of cellular function and immunity in patients.

Indexed as

Enzyme-Linked Immunospot AssayHigh-Throughput Screening AssaysAntibodiesCell LineChemokinesCytokinesHumansIntercellular Signaling Peptides and ProteinsProteinsTissue Array AnalysisTumor Cells, CulturedAntibodiesChemokinesCytokinesIntercellular Signaling Peptides and ProteinsProteins

Identifiers

PMID23339603
PMCPMC3589817

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.