Evidence map›Paper›PMID 23921087›Full record

ArticleScience signaling2013

Simultaneous profiling of 194 distinct receptor transcripts in human cells.

Byong H Kang, Karin J Jensen, Jaime A Hatch, Kevin A Janes

Abstract read
In one paragraph

Article in Science signaling, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Clinical and Translational Advances in Glioma Immunotherapy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  5. Article
  6. Genetically Modified Cellular Therapies for Malignant Gliomas.International journal of molecular sciences · 2021
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Identification of IL10RA by Weighted Correlation Network Analysis andFrontiers in cell and developmental biology · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Fusion transcriptome profiling provides insights into alveolar rhabdomyosarcoma.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  18. Article
  19. Review
  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

4 authors.

Byong H KangDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.
Karin J Jensen
Jaime A Hatch
Kevin A Janes

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Thomas P. Loughran · 1987 to 2026
$72.1M
Stochastic Control of Abnormal Morphogenesis Induced by the ErbB2 OncoproteinDP2OD006464 · OD · UNIVERSITY OF VIRGINIA · PI JANES, KEVIN A · 2009 to 2009
$2.3M
NCI NIH HHS P30 CA044579NIH HHS DP2 OD006464
6 · The paper itself

Abstract

Many signal transduction cascades are initiated by transmembrane receptors with the presence or absence and abundance of receptors dictating cellular responsiveness. We provide a validated array of quantitative reverse transcription polymerase chain reaction (qRT-PCR) reagents for high-throughput profiling of the presence and relative abundance of transcripts for 194 transmembrane receptors in the human genome. We found that the qRT-PCR array had greater sensitivity and specificity for the detected receptor transcript profiles compared to conventional oligonucleotide microarrays or exon microarrays. The qRT-PCR array also distinguished functional receptor presence versus absence more accurately than deep sequencing of adenylated RNA species by RNA sequencing (RNA-seq). By applying qRT-PCR-based receptor transcript profiling to 40 human cell lines representing four main tissues (pancreas, skin, breast, and colon), we identified clusters of cell lines with enhanced signaling capabilities and revealed a role for receptor silencing in defining tissue lineage. Ectopic expression of the interleukin-10 (IL-10) receptor-encoding gene IL10RA in melanoma cells engaged an IL-10 autocrine loop not otherwise present in this cell type, which altered signaling, gene expression, and cellular responses to proinflammatory stimuli. Our array provides a rapid, inexpensive, and convenient means for assigning a receptor signature to any human cell or tissue type.

Indexed as

Cell LineGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisOrgan SpecificityReceptors, Cell SurfaceReverse Transcriptase Polymerase Chain ReactionRNA, MessengerSequence Analysis, RNASignal TransductionReceptors, Cell SurfaceRNA, Messenger

Identifiers

PMID23921087
PMCPMC3772518

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.