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Identification and Characterization of Proteins Encoded by Chromosome 12 as Part of Chromosome-centric Human Proteome Project

Overview of attention for article published in Journal of Proteome Research, June 2014
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Article details
Title
Identification and Characterization of Proteins Encoded by Chromosome 12 as Part of Chromosome-centric Human Proteome Project
Published in
Journal of Proteome Research, June 2014
DOI 10.1021/pr401123v
Pubmed ID
Authors
Abstract

Chromosome-centric human proteome project (C-HPP) is a global initiative to comprehensively characterize proteins encoded by genes across all human chromosomes by teams focusing on individual chromosomes. Here, we report mass spectrometry-based identification and characterization of proteins encoded by genes on chromosome 12. Our study is based on proteomic profiling of 30 different histologically normal human tissues and cell types using high-resolution mass spectrometry. In our analysis, we identified 1,535 proteins encoded by 836 genes on human chromosome 12. This includes 89 genes that are designated as "missing proteins" by "neXtProt" as they did not have any prior evidence either by mass spectrometry or by antibody-based detection methods. We identified several variant peptides that reflected coding SNPs annotated in dbSNP database. We also confirmed the start sites of ∼200 proteins by identifying protein N-terminal acetylated peptides. We also identified alternative start sites for 11 proteins that were not annotated in public databases until now. Most importantly, we identified 12 novel protein coding regions on chromosome 12 using our proteogenomics strategy. All of the 12 regions have been annotated as pseudogenes in public databases. This study demonstrates that there is scope for significantly improving annotation of protein coding genes in the human genome using mass-spectrometry-derived data. Individual efforts as part of C-HPP initiative should significantly contribute toward enriching human protein annotation. The data have been deposited to ProteomeXchange with identifier PXD000561.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 11%
Unknown 16 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 22%
Student > Bachelor 2 11%
Student > Master 2 11%
Researcher 2 11%
Other 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 22%
Agricultural and Biological Sciences 4 22%
Chemistry 4 22%
Nursing and Health Professions 1 6%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 June 2014.
All research outputs
#23,030,907
of 29,042,824 outputs
Outputs from Journal of Proteome Research
#5,757
of 7,067 outputs
Outputs of similar age
#178,168
of 248,622 outputs
Outputs of similar age from Journal of Proteome Research
#57
of 112 outputs
Altmetric has tracked 29,042,824 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,067 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 248,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.