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The human cardiac and skeletal muscle proteomes defined by transcriptomics and antibody-based profiling

Overview of attention for article published in BMC Genomics, June 2015
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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4 X users
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3 Wikipedia pages

Citations

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62 Dimensions

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176 Mendeley
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Title
The human cardiac and skeletal muscle proteomes defined by transcriptomics and antibody-based profiling
Published in
BMC Genomics, June 2015
DOI 10.1186/s12864-015-1686-y
Pubmed ID
Authors

Cecilia Lindskog, Jerker Linné, Linn Fagerberg, Björn M Hallström, Carl Johan Sundberg, Malene Lindholm, Mikael Huss, Caroline Kampf, Howard Choi, David A Liem, Peipei Ping, Leif Väremo, Adil Mardinoglu, Jens Nielsen, Erik Larsson, Fredrik Pontén, Mathias Uhlén

Abstract

To understand cardiac and skeletal muscle function, it is important to define and explore their molecular constituents and also to identify similarities and differences in the gene expression in these two different striated muscle tissues. Here, we have investigated the genes and proteins with elevated expression in cardiac and skeletal muscle in relation to all other major human tissues and organs using a global transcriptomics analysis complemented with antibody-based profiling to localize the corresponding proteins on a single cell level. Our study identified a comprehensive list of genes expressed in cardiac and skeletal muscle. The genes with elevated expression were further stratified according to their global expression pattern across the human body as well as their precise localization in the muscle tissues. The functions of the proteins encoded by the elevated genes are well in line with the physiological functions of cardiac and skeletal muscle, such as contraction, ion transport, regulation of membrane potential and actomyosin structure organization. A large fraction of the transcripts in both cardiac and skeletal muscle correspond to mitochondrial proteins involved in energy metabolism, which demonstrates the extreme specialization of these muscle tissues to provide energy for contraction. Our results provide a comprehensive list of genes and proteins elevated in striated muscles. A number of proteins not previously characterized in cardiac and skeletal muscle were identified and localized to specific cellular subcompartments. These proteins represent an interesting starting point for further functional analysis of their role in muscle biology and disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 176 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 19%
Researcher 25 14%
Student > Master 23 13%
Student > Bachelor 21 12%
Professor 7 4%
Other 27 15%
Unknown 39 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 23%
Agricultural and Biological Sciences 33 19%
Medicine and Dentistry 20 11%
Engineering 10 6%
Immunology and Microbiology 4 2%
Other 20 11%
Unknown 48 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 May 2023.
All research outputs
#6,553,348
of 24,792,414 outputs
Outputs from BMC Genomics
#2,589
of 11,067 outputs
Outputs of similar age
#69,914
of 269,157 outputs
Outputs of similar age from BMC Genomics
#61
of 242 outputs
Altmetric has tracked 24,792,414 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 11,067 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 269,157 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.