Evidence map›Paper›PMID 28584233›Full record

ArticleScientific reports2017

Single-cell protein-mRNA correlation analysis enabled by multiplexed dual-analyte co-detection.

Haibiao Gong, Xiaohui Wang, Benjamin Liu, Stephane Boutet, Ilona Holcomb, Gajalakshmi Dakshinamoorthy, Aik Ooi, Chad Sanada, Gang Sun, Ramesh Ramakrishnan

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
  10. Article
  11. Single-Cell Proteomics.Trends in biochemical sciences · 2021
    Review
  12. Article
  13. Advancing Stem Cell Research through Multimodal Single-Cell Analysis.Cold Spring Harbor perspectives in biology · 2020
    Review
  14. Article
  15. Review
  16. 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

10 authors.

Haibiao GongFluidigm Corporation, South San Francisco, CA, 94080, USA. haibiao.gong@fluidigm.com.
Xiaohui WangFluidigm Corporation, South San Francisco, CA, 94080, USA.
Benjamin LiuFluidigm Corporation, South San Francisco, CA, 94080, USA.
Stephane BoutetFluidigm Corporation, South San Francisco, CA, 94080, USA.
Ilona HolcombFluidigm Corporation, South San Francisco, CA, 94080, USA.
Gajalakshmi DakshinamoorthyFluidigm Corporation, South San Francisco, CA, 94080, USA.
Aik OoiFluidigm Corporation, South San Francisco, CA, 94080, USA.
Chad SanadaFluidigm Corporation, South San Francisco, CA, 94080, USA.
Gang SunFluidigm Corporation, South San Francisco, CA, 94080, USA.
Ramesh RamakrishnanFluidigm Corporation, South San Francisco, CA, 94080, USA. ramesh.ramakrishnan@fluidigm.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have investigated the correlation between proteins and mRNAs in single cells employing an integrated workflow for dual-analyte co-detection. This is achieved by combining the oligo extension reaction (OER), which converts protein levels to DNA levels, with reverse transcription for mRNA detection. Unsupervised gene expression profiling analysis, including principal component analysis and hierarchical clustering, revealed different aspects of the protein-mRNA relationship. Violin plot analysis showed that some genes exhibited similar distribution patterns for proteins and mRNAs. We also demonstrate that cells can be separated into subpopulations based on their protein-mRNA expression profiles, and that different subpopulations have distinct correlation coefficient values. Our results demonstrated that integrated investigations of mRNA and protein levels in single cells allows comprehensive analysis not attainable at bulk levels.

Indexed as

BiomarkersCell LineGene Expression ProfilingHumansProteinsProteomicsReal-Time Polymerase Chain ReactionRNA, MessengerSingle-Cell AnalysisBiomarkersProteinsRNA, Messenger

Identifiers

PMID28584233
PMCPMC5459813

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.