ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.

Genomics experiments are widely acknowledged to produce a huge amount of data to be analysed. The challenge is to extract meaningful biological context for proteins or genes which is currently difficult because of the lack of an integrative workflow that hinders the efficiency and the robustness of...

Full description

Bibliographic Details
Main Authors: Nicolas Kaspric, Brigitte Picard, Matthieu Reichstadt, Jérémy Tournayre, Muriel Bonnet
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4441380?pdf=render
_version_ 1819127869091086336
author Nicolas Kaspric
Brigitte Picard
Matthieu Reichstadt
Jérémy Tournayre
Muriel Bonnet
author_facet Nicolas Kaspric
Brigitte Picard
Matthieu Reichstadt
Jérémy Tournayre
Muriel Bonnet
author_sort Nicolas Kaspric
collection DOAJ
description Genomics experiments are widely acknowledged to produce a huge amount of data to be analysed. The challenge is to extract meaningful biological context for proteins or genes which is currently difficult because of the lack of an integrative workflow that hinders the efficiency and the robustness of data mining performed by biologists working on ruminants. Thus, we designed ProteINSIDE, a free web service (www.proteinside.org) that (I) provides an overview of the biological information stored in public databases or provided by annotations according to the Gene Ontology, (II) predicts proteins that are secreted to search for proteins that mediate signalisation between cells or tissues, and (III) analyses protein-protein interactions to identify proteins contributing to a process or to visualize functional pathways. Using lists of proteins or genes as a unique input, ProteINSIDE is an original all-in-one tool that merges data from these searches to present a fast overview and integrative analysis of genomic and proteomic data from Bovine, Ovine, Caprine, Human, Rat, and Murine species. ProteINSIDE was bench tested with 1000 proteins identifiers from each species by comparison with DAVID, BioMyn, AgBase, PrediSi, and Phobius. Compared to DAVID or BioMyn, identifications and annotations provided by ProteINSIDE were similar from monogastric proteins but more numerous and relevant for ruminants proteins. ProteINSIDE, thanks to SignalP, listed less proteins potentially secreted with a signal peptide than PrediSi and Phobius, in agreement with the low false positive rate of SignalP. In addition ProteINSIDE is the only resource that predicts proteins secreted by cellular processes that do not involve a signal peptide. Lastly, we reported the usefulness of ProteINSIDE to bring new biological hypotheses of research from proteomics data: the biological meaning of the uptake of adiponectin by the foetal muscle and a role for autophagy during ontogenesis of adipose and muscle tissues.
first_indexed 2024-12-22T08:18:46Z
format Article
id doaj.art-93c53c6b46754464817f95da0de9fe36
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-22T08:18:46Z
publishDate 2015-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-93c53c6b46754464817f95da0de9fe362022-12-21T18:32:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012808610.1371/journal.pone.0128086ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.Nicolas KaspricBrigitte PicardMatthieu ReichstadtJérémy TournayreMuriel BonnetGenomics experiments are widely acknowledged to produce a huge amount of data to be analysed. The challenge is to extract meaningful biological context for proteins or genes which is currently difficult because of the lack of an integrative workflow that hinders the efficiency and the robustness of data mining performed by biologists working on ruminants. Thus, we designed ProteINSIDE, a free web service (www.proteinside.org) that (I) provides an overview of the biological information stored in public databases or provided by annotations according to the Gene Ontology, (II) predicts proteins that are secreted to search for proteins that mediate signalisation between cells or tissues, and (III) analyses protein-protein interactions to identify proteins contributing to a process or to visualize functional pathways. Using lists of proteins or genes as a unique input, ProteINSIDE is an original all-in-one tool that merges data from these searches to present a fast overview and integrative analysis of genomic and proteomic data from Bovine, Ovine, Caprine, Human, Rat, and Murine species. ProteINSIDE was bench tested with 1000 proteins identifiers from each species by comparison with DAVID, BioMyn, AgBase, PrediSi, and Phobius. Compared to DAVID or BioMyn, identifications and annotations provided by ProteINSIDE were similar from monogastric proteins but more numerous and relevant for ruminants proteins. ProteINSIDE, thanks to SignalP, listed less proteins potentially secreted with a signal peptide than PrediSi and Phobius, in agreement with the low false positive rate of SignalP. In addition ProteINSIDE is the only resource that predicts proteins secreted by cellular processes that do not involve a signal peptide. Lastly, we reported the usefulness of ProteINSIDE to bring new biological hypotheses of research from proteomics data: the biological meaning of the uptake of adiponectin by the foetal muscle and a role for autophagy during ontogenesis of adipose and muscle tissues.http://europepmc.org/articles/PMC4441380?pdf=render
spellingShingle Nicolas Kaspric
Brigitte Picard
Matthieu Reichstadt
Jérémy Tournayre
Muriel Bonnet
ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.
PLoS ONE
title ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.
title_full ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.
title_fullStr ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.
title_full_unstemmed ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.
title_short ProteINSIDE to Easily Investigate Proteomics Data from Ruminants: Application to Mine Proteome of Adipose and Muscle Tissues in Bovine Foetuses.
title_sort proteinside to easily investigate proteomics data from ruminants application to mine proteome of adipose and muscle tissues in bovine foetuses
url http://europepmc.org/articles/PMC4441380?pdf=render
work_keys_str_mv AT nicolaskaspric proteinsidetoeasilyinvestigateproteomicsdatafromruminantsapplicationtomineproteomeofadiposeandmuscletissuesinbovinefoetuses
AT brigittepicard proteinsidetoeasilyinvestigateproteomicsdatafromruminantsapplicationtomineproteomeofadiposeandmuscletissuesinbovinefoetuses
AT matthieureichstadt proteinsidetoeasilyinvestigateproteomicsdatafromruminantsapplicationtomineproteomeofadiposeandmuscletissuesinbovinefoetuses
AT jeremytournayre proteinsidetoeasilyinvestigateproteomicsdatafromruminantsapplicationtomineproteomeofadiposeandmuscletissuesinbovinefoetuses
AT murielbonnet proteinsidetoeasilyinvestigateproteomicsdatafromruminantsapplicationtomineproteomeofadiposeandmuscletissuesinbovinefoetuses