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Pathway reporter genes define molecular phenotypes of human cells

Overview of attention for article published in BMC Genomics, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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10 X users
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1 Wikipedia page

Citations

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25 Dimensions

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75 Mendeley
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Title
Pathway reporter genes define molecular phenotypes of human cells
Published in
BMC Genomics, April 2015
DOI 10.1186/s12864-015-1532-2
Pubmed ID
Authors

Jitao David Zhang, Erich Küng, Franziska Boess, Ulrich Certa, Martin Ebeling

Abstract

The phenotype of a living cell is determined by its pattern of active signaling networks, giving rise to a "molecular phenotype" based on differential gene expression analysis. Digital amplicon based RNA quantification by sequencing is a useful technology for molecular phenotyping as a novel tool to characterize the state of biological systems. We show here that the activity of signaling networks can be assessed based on a set of established key regulators and expression targets rather than the entire transcriptome. We compiled a panel of 917 human pathway reporter genes, representing 154 human signaling and metabolic networks for integrated knowledge- and data-driven understanding of biological processes. The reporter genes are significantly enriched for regulators and effectors covering a wide range of biological processes, and faithfully capture gene-level and pathway-level changes. We apply the approach to iPSC derived cardiomyocytes and primary human hepatocytes to describe changes in molecular phenotype during development or drug response. The reporter genes deliver an accurate pathway-centric view of the biological system under study, and identify known and novel modulation of signaling networks consistent with literature or experimental data. A panel of 917 pathway reporter genes is sufficient to describe changes in the molecular phenotype defined by 154 signaling cascades in various human cell types. AmpliSeq-RNA based digital transcript imaging enables simultaneous monitoring of the entire pathway reporter gene panel in up to 150 samples. We propose molecular phenotyping as a useful approach to understand diseases and drug action at the network level.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United Kingdom 1 1%
Belgium 1 1%
Spain 1 1%
United States 1 1%
Unknown 69 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 27%
Student > Ph. D. Student 14 19%
Student > Master 9 12%
Student > Bachelor 7 9%
Other 5 7%
Other 12 16%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 25%
Biochemistry, Genetics and Molecular Biology 13 17%
Computer Science 6 8%
Engineering 6 8%
Medicine and Dentistry 5 7%
Other 17 23%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 June 2017.
All research outputs
#4,086,979
of 24,598,501 outputs
Outputs from BMC Genomics
#1,546
of 11,013 outputs
Outputs of similar age
#49,592
of 269,976 outputs
Outputs of similar age from BMC Genomics
#45
of 265 outputs
Altmetric has tracked 24,598,501 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,013 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 269,976 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 265 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.