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Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues

Overview of attention for article published in Scientific Reports, May 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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44 X users

Citations

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143 Dimensions

Readers on

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263 Mendeley
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1 CiteULike
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Title
Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues
Published in
Scientific Reports, May 2016
DOI 10.1038/srep24799
Pubmed ID
Authors

Idit Kosti, Nishant Jain, Dvir Aran, Atul J. Butte, Marina Sirota

Abstract

The central dogma of molecular biology describes the translation of genetic information from mRNA to protein, but does not specify the quantitation or timing of this process across the genome. We have analyzed protein and gene expression in a diverse set of human tissues. To study concordance and discordance of gene and protein expression, we integrated mass spectrometry data from the Human Proteome Map project and RNA-Seq measurements from the Genotype-Tissue Expression project. We analyzed 16,561 genes and the corresponding proteins in 14 tissue types across nearly 200 samples. A comprehensive tissue- and gene-specific analysis revealed that across the 14 tissues, correlation between mRNA and protein expression was positive and ranged from 0.36 to 0.5. We also identified 1,012 genes whose RNA and protein expression was correlated across all the tissues and examined genes and proteins that were concordantly and discordantly expressed for each tissue of interest. We extended our analysis to look for genes and proteins that were differentially correlated in cancer compared to normal tissues, showing higher levels of correlation in normal tissues. Finally, we explored the implications of these findings in the context of biomarker and drug target discovery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Hungary 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 259 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 55 21%
Researcher 53 20%
Student > Master 41 16%
Student > Bachelor 22 8%
Student > Doctoral Student 15 6%
Other 36 14%
Unknown 41 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 90 34%
Agricultural and Biological Sciences 49 19%
Medicine and Dentistry 15 6%
Computer Science 12 5%
Engineering 7 3%
Other 33 13%
Unknown 57 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 30 January 2020.
All research outputs
#1,608,998
of 25,382,440 outputs
Outputs from Scientific Reports
#15,256
of 140,711 outputs
Outputs of similar age
#26,313
of 312,482 outputs
Outputs of similar age from Scientific Reports
#357
of 3,216 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 140,711 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has done well, scoring higher than 89% 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 312,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 3,216 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.