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RaftProt: mammalian lipid raft proteome database

Overview of attention for article published in Nucleic Acids Research, November 2014
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Title
RaftProt: mammalian lipid raft proteome database
Published in
Nucleic Acids Research, November 2014
DOI 10.1093/nar/gku1131
Pubmed ID
Authors

Anup Shah, David Chen, Akash R. Boda, Leonard J. Foster, Melissa J. Davis, Michelle M. Hill

Abstract

RaftProt (http://lipid-raft-database.di.uq.edu.au/) is a database of mammalian lipid raft-associated proteins as reported in high-throughput mass spectrometry studies. Lipid rafts are specialized membrane microdomains enriched in cholesterol and sphingolipids thought to act as dynamic signalling and sorting platforms. Given their fundamental roles in cellular regulation, there is a plethora of information on the size, composition and regulation of these membrane microdomains, including a large number of proteomics studies. To facilitate the mining and analysis of published lipid raft proteomics studies, we have developed a searchable database RaftProt. In addition to browsing the studies, performing basic queries by protein and gene names, searching experiments by cell, tissue and organisms; we have implemented several advanced features to facilitate data mining. To address the issue of potential bias due to biochemical preparation procedures used, we have captured the lipid raft preparation methods and implemented advanced search option for methodology and sample treatment conditions, such as cholesterol depletion. Furthermore, we have identified a list of high confidence proteins, and enabled searching only from this list of likely bona fide lipid raft proteins. Given the apparent biological importance of lipid raft and their associated proteins, this database would constitute a key resource for the scientific community.

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Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Czechia 1 2%
Korea, Republic of 1 2%
Unknown 52 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 29%
Researcher 12 22%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Professor 4 7%
Other 9 16%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 33%
Biochemistry, Genetics and Molecular Biology 13 24%
Medicine and Dentistry 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Computer Science 2 4%
Other 6 11%
Unknown 11 20%
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 30 June 2015.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from Nucleic Acids Research
#26,249
of 27,550 outputs
Outputs of similar age
#231,263
of 271,257 outputs
Outputs of similar age from Nucleic Acids Research
#381
of 410 outputs
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