Cargando…

The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics

The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was publish...

Descripción completa

Detalles Bibliográficos
Autores principales: Deutsch, Eric W, Bandeira, Nuno, Sharma, Vagisha, Perez-Riverol, Yasset, Carver, Jeremy J, Kundu, Deepti J, García-Seisdedos, David, Jarnuczak, Andrew F, Hewapathirana, Suresh, Pullman, Benjamin S, Wertz, Julie, Sun, Zhi, Kawano, Shin, Okuda, Shujiro, Watanabe, Yu, Hermjakob, Henning, MacLean, Brendan, MacCoss, Michael J, Zhu, Yunping, Ishihama, Yasushi, Vizcaíno, Juan A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145525/
https://www.ncbi.nlm.nih.gov/pubmed/31686107
http://dx.doi.org/10.1093/nar/gkz984
_version_ 1783520006992035840
author Deutsch, Eric W
Bandeira, Nuno
Sharma, Vagisha
Perez-Riverol, Yasset
Carver, Jeremy J
Kundu, Deepti J
García-Seisdedos, David
Jarnuczak, Andrew F
Hewapathirana, Suresh
Pullman, Benjamin S
Wertz, Julie
Sun, Zhi
Kawano, Shin
Okuda, Shujiro
Watanabe, Yu
Hermjakob, Henning
MacLean, Brendan
MacCoss, Michael J
Zhu, Yunping
Ishihama, Yasushi
Vizcaíno, Juan A
author_facet Deutsch, Eric W
Bandeira, Nuno
Sharma, Vagisha
Perez-Riverol, Yasset
Carver, Jeremy J
Kundu, Deepti J
García-Seisdedos, David
Jarnuczak, Andrew F
Hewapathirana, Suresh
Pullman, Benjamin S
Wertz, Julie
Sun, Zhi
Kawano, Shin
Okuda, Shujiro
Watanabe, Yu
Hermjakob, Henning
MacLean, Brendan
MacCoss, Michael J
Zhu, Yunping
Ishihama, Yasushi
Vizcaíno, Juan A
author_sort Deutsch, Eric W
collection PubMed
description The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the proteomics field is now actively embracing public open data policies. At the end of June 2019, more than 14 100 datasets had been submitted to PX resources since 2012, and from those, more than 9 500 in just the last three years. In parallel, an unprecedented increase of data re-use activities in the field, including ‘big data’ approaches, is enabling novel research and new data resources. At last, we also outline some of our future plans for the coming years.
format Online
Article
Text
id pubmed-7145525
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-71455252020-04-13 The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics Deutsch, Eric W Bandeira, Nuno Sharma, Vagisha Perez-Riverol, Yasset Carver, Jeremy J Kundu, Deepti J García-Seisdedos, David Jarnuczak, Andrew F Hewapathirana, Suresh Pullman, Benjamin S Wertz, Julie Sun, Zhi Kawano, Shin Okuda, Shujiro Watanabe, Yu Hermjakob, Henning MacLean, Brendan MacCoss, Michael J Zhu, Yunping Ishihama, Yasushi Vizcaíno, Juan A Nucleic Acids Res Database Issue The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the proteomics field is now actively embracing public open data policies. At the end of June 2019, more than 14 100 datasets had been submitted to PX resources since 2012, and from those, more than 9 500 in just the last three years. In parallel, an unprecedented increase of data re-use activities in the field, including ‘big data’ approaches, is enabling novel research and new data resources. At last, we also outline some of our future plans for the coming years. Oxford University Press 2020-01-08 2019-11-05 /pmc/articles/PMC7145525/ /pubmed/31686107 http://dx.doi.org/10.1093/nar/gkz984 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Deutsch, Eric W
Bandeira, Nuno
Sharma, Vagisha
Perez-Riverol, Yasset
Carver, Jeremy J
Kundu, Deepti J
García-Seisdedos, David
Jarnuczak, Andrew F
Hewapathirana, Suresh
Pullman, Benjamin S
Wertz, Julie
Sun, Zhi
Kawano, Shin
Okuda, Shujiro
Watanabe, Yu
Hermjakob, Henning
MacLean, Brendan
MacCoss, Michael J
Zhu, Yunping
Ishihama, Yasushi
Vizcaíno, Juan A
The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
title The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
title_full The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
title_fullStr The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
title_full_unstemmed The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
title_short The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
title_sort proteomexchange consortium in 2020: enabling ‘big data’ approaches in proteomics
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145525/
https://www.ncbi.nlm.nih.gov/pubmed/31686107
http://dx.doi.org/10.1093/nar/gkz984
work_keys_str_mv AT deutschericw theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT bandeiranuno theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT sharmavagisha theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT perezriverolyasset theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT carverjeremyj theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT kundudeeptij theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT garciaseisdedosdavid theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT jarnuczakandrewf theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT hewapathiranasuresh theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT pullmanbenjamins theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT wertzjulie theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT sunzhi theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT kawanoshin theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT okudashujiro theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT watanabeyu theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT hermjakobhenning theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT macleanbrendan theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT maccossmichaelj theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT zhuyunping theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT ishihamayasushi theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT vizcainojuana theproteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT deutschericw proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT bandeiranuno proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT sharmavagisha proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT perezriverolyasset proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT carverjeremyj proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT kundudeeptij proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT garciaseisdedosdavid proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT jarnuczakandrewf proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT hewapathiranasuresh proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT pullmanbenjamins proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT wertzjulie proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT sunzhi proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT kawanoshin proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT okudashujiro proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT watanabeyu proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT hermjakobhenning proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT macleanbrendan proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT maccossmichaelj proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT zhuyunping proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT ishihamayasushi proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics
AT vizcainojuana proteomexchangeconsortiumin2020enablingbigdataapproachesinproteomics