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Illuminating Spatial and Temporal Organization of Protein Interaction Networks by Mass Spectrometry-Based Proteomics

Overview of attention for article published in Frontiers in Genetics, December 2015
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Title
Illuminating Spatial and Temporal Organization of Protein Interaction Networks by Mass Spectrometry-Based Proteomics
Published in
Frontiers in Genetics, December 2015
DOI 10.3389/fgene.2015.00344
Pubmed ID
Authors

Jiwen Yang, Sebastian A. Wagner, Petra Beli

Abstract

Protein-protein interactions are at the core of all cellular functions and dynamic alterations in protein interactions regulate cellular signaling. In the last decade, mass spectrometry (MS)-based proteomics has delivered unprecedented insights into human protein interaction networks. Affinity purification-MS (AP-MS) has been extensively employed for focused and high-throughput studies of steady state protein-protein interactions. Future challenges remain in mapping transient protein interactions after cellular perturbations as well as in resolving the spatial organization of protein interaction networks. AP-MS can be combined with quantitative proteomics approaches to determine the relative abundance of purified proteins in different conditions, thereby enabling the identification of transient protein interactions. In addition to affinity purification, methods based on protein co-fractionation have been combined with quantitative MS to map transient protein interactions during cellular signaling. More recently, approaches based on proximity tagging that preserve the spatial dimension of protein interaction networks have been introduced. Here, we provide an overview of MS-based methods for analyzing protein-protein interactions with a focus on approaches that aim to dissect the temporal and spatial aspects of protein interaction networks.

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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Greece 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Student > Master 19 22%
Researcher 18 21%
Student > Bachelor 10 11%
Professor > Associate Professor 7 8%
Other 6 7%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 41%
Biochemistry, Genetics and Molecular Biology 31 36%
Medicine and Dentistry 3 3%
Immunology and Microbiology 2 2%
Chemistry 2 2%
Other 2 2%
Unknown 11 13%
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 22 December 2015.
All research outputs
#17,778,101
of 22,834,308 outputs
Outputs from Frontiers in Genetics
#6,071
of 11,822 outputs
Outputs of similar age
#263,325
of 387,568 outputs
Outputs of similar age from Frontiers in Genetics
#40
of 53 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,822 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 387,568 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.