Evidence map›Paper›PMID 22481529›Full record

ArticleNature protocols2012

Microfluidic single-cell real-time PCR for comparative analysis of gene expression patterns.

Veronica Sanchez-Freire, Antje D Ebert, Tomer Kalisky, Stephen R Quake, Joseph C Wu

Abstract read
In one paragraph

Article in Nature protocols, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Challenges and approaches to studying pore-forming proteins.Biochemical Society transactions · 2021
    Review
  8. Article
  9. International journal of molecular sciences · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Droplets as Carriers for Flexible Electronic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

14 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

5 authors.

Veronica Sanchez-FreireDepartment of Medicine, Stanford University School of Medicine, California, USA.
Antje D Ebert
Tomer Kalisky
Stephen R Quake
Joseph C Wu

Funding

09: Inducing Pluripotency with MiRNAs: New Paradigm Shif in Cell ReprogrammingDP2OD004437 · OD · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2008 to 2008
$2.4M
Re-Education of the Immune System for hES Cell ToleranceR01AI085575 · NIAID · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2009 to 2013
$2.0M
Molecular and Cellular Phenotype of Aging and iPS CellsRC1AG036142 · NIA · STANFORD UNIVERSITY · PI WEINBERG, KENNETH I, WU, JOSEPH C. · 2010 to 2010
$1000k
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI085575NIAID NIH HHS R01AI085575NIA NIH HHS RC1 AG036142NIA NIH HHS RC1AG036142NIH HHS DP2 OD004437NIH HHS DP2OD004437
6 · The paper itself

Abstract

Single-cell quantitative real-time PCR (qRT-PCR) combined with high-throughput arrays allows the analysis of gene expression profiles at a molecular level in approximately 11 h after cell sample collection. We present here a high-content microfluidic real-time platform as a powerful tool for comparatively investigating the regulation of developmental processes in single cells. This approach overcomes the limitations involving heterogeneous cell populations and sample amounts, and may shed light on differential regulation of gene expression in normal versus disease-related contexts. Furthermore, high-throughput single-cell qRT-PCR provides a standardized, comparative assay for in-depth analysis of the mechanisms underlying human pluripotent stem cell self-renewal and differentiation.

Indexed as

Cells, CulturedEmbryonic Stem CellsFlow CytometryGene Expression ProfilingGene Expression RegulationHumansMicrofluidicsReal-Time Polymerase Chain ReactionSingle-Cell Analysis

Identifiers

PMID22481529
PMCPMC3657501

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.