Evidence map›Paper›PMID 25390242›Full record

ArticleAnalytical chemistry2014

Self-digitization microfluidic chip for absolute quantification of mRNA in single cells.

Alison M Thompson, Alexander Gansen, Amy L Paguirigan, Jason E Kreutz, Jerald P Radich, Daniel T Chiu

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
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  9. PCR past, present and future.BioTechniques · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. dPCR: A Technology Review.Sensors (Basel, Switzerland) · 2018
    Review
  18. Article
  19. Article
  20. Review
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

6 authors at 2 institutions in 1 country.

Alison M ThompsonDepartment of Chemistry, University of Washington , Seattle, Washington 98195, United States.
Alexander Gansen
Amy L Paguirigan
Jason E Kreutz
Jerald P Radich
Daniel T Chiu
University of Washington · USFred Hutch Cancer Center · US

Funding

VIRUS-MEDIATED MYELOSUPPRESSIONP01CA018029 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Geoffrey Roger HILL · 1985 to 2026
$128.4M
Understanding and predicting relapse in acute myeloid leukemiaR01CA175008 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RADICH, JERALD PATRICK · 2013 to 2023
$3.9M
Single-Cell Methods for Analysis of Clonal Heterogeneity and Evolution in CancerR01CA175215 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RADICH, JERALD PATRICK · 2013 to 2017
$3.0M
NCI NIH HHS P01 CA018029NCI NIH HHS R01 CA175008NCI NIH HHS R01 CA175215NCI NIH HHS R01CA175215
6 · The paper itself

Abstract

Quantification of mRNA in single cells provides direct insight into how intercellular heterogeneity plays a role in disease progression and outcomes. Quantitative polymerase chain reaction (qPCR), the current gold standard for evaluating gene expression, is insufficient for providing absolute measurement of single-cell mRNA transcript abundance. Challenges include difficulties in handling small sample volumes and the high variability in measurements. Microfluidic digital PCR provides far better sensitivity for minute quantities of genetic material, but the typical format of this assay does not allow for counting of the absolute number of mRNA transcripts samples taken from single cells. Furthermore, a large fraction of the sample is often lost during sample handling in microfluidic digital PCR. Here, we report the absolute quantification of single-cell mRNA transcripts by digital, one-step reverse transcription PCR in a simple microfluidic array device called the self-digitization (SD) chip. By performing the reverse transcription step in digitized volumes, we find that the assay exhibits a linear signal across a wide range of total RNA concentrations and agrees well with standard curve qPCR. The SD chip is found to digitize a high percentage (86.7%) of the sample for single-cell experiments. Moreover, quantification of transferrin receptor mRNA in single cells agrees well with single-molecule fluorescence in situ hybridization experiments. The SD platform for absolute quantification of single-cell mRNA can be optimized for other genes and may be useful as an independent control method for the validation of mRNA quantification techniques.

Indexed as

Single-Cell AnalysisCell LineMicrofluidicsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA, Messenger

Identifiers

PMID25390242
PMCPMC4270397
OpenAlexW2049512094

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.