Evidence map›Paper›PMID 22189001›Full record

ReviewCurrent opinion in biotechnology2012

Single-cell protein analysis.

Meiye Wu, Anup K Singh

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Multiplexed Single-Cell in Situ Protein Profiling.ACS measurement science au · 2022
    Review
  10. Article
  11. Single-cell proteomic analysis.WIREs mechanisms of disease · 2021
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. The Maximum Caliber Variational Principle for Nonequilibria.Annual review of physical chemistry · 2020
    Review
  17. Dissolvable Polyacrylamide Beads for High-Throughput Droplet DNA Barcoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  18. Article
  19. Article
  20. 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

2 authors.

Meiye WuDepartment of Bioengineering and Biotechnology, Sandia National Laboratory, Livermore, CA 94550, United States.
Anup K Singh

Funding

UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
FISH "N" Chips: A Microfluidic Processor for Isolating and Analyzing MicrobesR01DE020891 · NIDCR · SANDIA CORP-SANDIA NATIONAL LABORATORIES · PI SINGH, ANUP K. · 2009 to 2012
$1.8M
NIDCR NIH HHS R01 DE020891NIGMS NIH HHS P50 GM085273NIGMS NIH HHS P50GM085273
6 · The paper itself

Abstract

Heterogeneity of cellular systems has been widely recognized but only recently have tools become available that allow probing of genes and proteins in single cells to understand it. While the advancement in single cell genomic analysis has been greatly aided by the power of amplification techniques (e.g. PCR), analysis of proteins in single cells has proven to be more challenging. However, recent advances in multi-parameter flow cytometry, microscopy, microfluidics and other techniques have made it possible to measure wide variety of proteins in single cells. In this review, we highlight key recent developments in analysis of proteins in a single cell (excluding imaging-based methods), and discuss their significance in biological research.

Indexed as

AnimalsFlow CytometryHumansMicrofluidicsProteomeSingle-Cell AnalysisProteome

Identifiers

PMID22189001
PMCPMC3283030

What OpenQuestion holds

Textmetadata
LicenceTDM
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.