Evidence map›Paper›PMID 23998271›Full record

ReviewGenome medicine2013

Microchip platforms for multiplex single-cell functional proteomics with applications to immunology and cancer research.

Wei Wei, Young Shik Shin, Chao Ma, Jun Wang, Meltem Elitas, Rong Fan, James R Heath

Open access · goldAbstract readReview
In one paragraph

Review in Genome medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 53 citations in OpenAlex.

  1. Cell-Based Immuno-Biosensors Using Microfluidics.Sensors (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Enhanced TLR2 responses in multiple sclerosis.Clinical and experimental immunology · 2018
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Studying hematopoiesis using single-cell technologies.Journal of hematology & oncology · 2017
    Review
  18. Review
  19. Article
  20. Detection of Isoforms Differing by a Single Charge Unit in Individual Cells.Angewandte Chemie (International ed. in English) · 2016
    Article
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

7 authors at 2 institutions in 1 country.

Wei WeiNanoSystems Biology Cancer Center, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA ; Department of Applied Physics and Materials Science, California Institute of Technology, Pasadena, CA 91125, USA.
Young Shik ShinNanoSystems Biology Cancer Center, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Chao MaNanoSystems Biology Cancer Center, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Jun WangNanoSystems Biology Cancer Center, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Meltem ElitasDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
Rong FanDepartment of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
James R HeathNanoSystems Biology Cancer Center, Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
California Institute of Technology · USYale University · US

Funding

UCLA Institute for Molecular Medicine (IMED) CoreU54CA151819 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HEATH, JAMES R. · 2010 to 2014
$12.1M
Strategies for Distinguishing Success in Immunotherapy Treatments (PQ20)R01CA170689 · NCI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HEATH, JAMES R., RIBAS, ANTONI · 2012 to 2015
$2.5M
NCI NIH HHS R01 CA170689NCI NIH HHS U54 CA151819
6 · The paper itself

Abstract

Single-cell functional proteomics assays can connect genomic information to biological function through quantitative and multiplex protein measurements. Tools for single-cell proteomics have developed rapidly over the past 5 years and are providing approaches for directly elucidating phosphoprotein signaling networks in cancer cells or for capturing high-resolution snapshots of immune system function in patients with various disease conditions. We discuss advances in single-cell proteomics platforms, with an emphasis on microchip methods. These methods can provide a direct correlation of morphological, functional and molecular signatures at the single-cell level. We also provide examples of how those platforms are being applied to both fundamental biology and clinical studies, focusing on immune-system monitoring and phosphoprotein signaling networks in cancer.

Identifiers

PMID23998271
PMCPMC3978720
OpenAlexW2121784059

What OpenQuestion holds

Textmetadata
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.