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Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes

Our analysis examines the conservation of multiprotein complexes among metazoa through use of high resolution biochemical fractionation and precision mass spectrometry applied to soluble cell extracts from 5 representative model organisms Caenorhabditis elegans, Drosophila melanogaster, Mus musculus...

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Autores principales: Phanse, Sadhna, Wan, Cuihong, Borgeson, Blake, Tu, Fan, Drew, Kevin, Clark, Greg, Xiong, Xuejian, Kagan, Olga, Kwan, Julian, Bezginov, Alexandr, Chessman, Kyle, Pal, Swati, Cromar, Graham, Papoulas, Ophelia, Ni, Zuyao, Boutz, Daniel R., Stoilova, Snejana, Havugimana, Pierre C., Guo, Xinghua, Malty, Ramy H., Sarov, Mihail, Greenblatt, Jack, Babu, Mohan, Derry, W. Brent, Tillier, Elisabeth R., Wallingford, John B., Parkinson, John, Marcotte, Edward M., Emili, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738005/
https://www.ncbi.nlm.nih.gov/pubmed/26870755
http://dx.doi.org/10.1016/j.dib.2015.11.062
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author Phanse, Sadhna
Wan, Cuihong
Borgeson, Blake
Tu, Fan
Drew, Kevin
Clark, Greg
Xiong, Xuejian
Kagan, Olga
Kwan, Julian
Bezginov, Alexandr
Chessman, Kyle
Pal, Swati
Cromar, Graham
Papoulas, Ophelia
Ni, Zuyao
Boutz, Daniel R.
Stoilova, Snejana
Havugimana, Pierre C.
Guo, Xinghua
Malty, Ramy H.
Sarov, Mihail
Greenblatt, Jack
Babu, Mohan
Derry, W. Brent
Tillier, Elisabeth R.
Wallingford, John B.
Parkinson, John
Marcotte, Edward M.
Emili, Andrew
author_facet Phanse, Sadhna
Wan, Cuihong
Borgeson, Blake
Tu, Fan
Drew, Kevin
Clark, Greg
Xiong, Xuejian
Kagan, Olga
Kwan, Julian
Bezginov, Alexandr
Chessman, Kyle
Pal, Swati
Cromar, Graham
Papoulas, Ophelia
Ni, Zuyao
Boutz, Daniel R.
Stoilova, Snejana
Havugimana, Pierre C.
Guo, Xinghua
Malty, Ramy H.
Sarov, Mihail
Greenblatt, Jack
Babu, Mohan
Derry, W. Brent
Tillier, Elisabeth R.
Wallingford, John B.
Parkinson, John
Marcotte, Edward M.
Emili, Andrew
author_sort Phanse, Sadhna
collection PubMed
description Our analysis examines the conservation of multiprotein complexes among metazoa through use of high resolution biochemical fractionation and precision mass spectrometry applied to soluble cell extracts from 5 representative model organisms Caenorhabditis elegans, Drosophila melanogaster, Mus musculus, Strongylocentrotus purpuratus, and Homo sapiens. The interaction network obtained from the data was validated globally in 4 distant species (Xenopus laevis, Nematostella vectensis, Dictyostelium discoideum, Saccharomyces cerevisiae) and locally by targeted affinity-purification experiments. Here we provide details of our massive set of supporting biochemical fractionation data available via ProteomeXchange (PXD002319-PXD002328), PPIs via BioGRID (185267); and interaction network projections via (http://metazoa.med.utoronto.ca) made fully accessible to allow further exploration. The datasets here are related to the research article on metazoan macromolecular complexes in Nature [1].
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spelling pubmed-47380052016-02-11 Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes Phanse, Sadhna Wan, Cuihong Borgeson, Blake Tu, Fan Drew, Kevin Clark, Greg Xiong, Xuejian Kagan, Olga Kwan, Julian Bezginov, Alexandr Chessman, Kyle Pal, Swati Cromar, Graham Papoulas, Ophelia Ni, Zuyao Boutz, Daniel R. Stoilova, Snejana Havugimana, Pierre C. Guo, Xinghua Malty, Ramy H. Sarov, Mihail Greenblatt, Jack Babu, Mohan Derry, W. Brent Tillier, Elisabeth R. Wallingford, John B. Parkinson, John Marcotte, Edward M. Emili, Andrew Data Brief Data Article Our analysis examines the conservation of multiprotein complexes among metazoa through use of high resolution biochemical fractionation and precision mass spectrometry applied to soluble cell extracts from 5 representative model organisms Caenorhabditis elegans, Drosophila melanogaster, Mus musculus, Strongylocentrotus purpuratus, and Homo sapiens. The interaction network obtained from the data was validated globally in 4 distant species (Xenopus laevis, Nematostella vectensis, Dictyostelium discoideum, Saccharomyces cerevisiae) and locally by targeted affinity-purification experiments. Here we provide details of our massive set of supporting biochemical fractionation data available via ProteomeXchange (PXD002319-PXD002328), PPIs via BioGRID (185267); and interaction network projections via (http://metazoa.med.utoronto.ca) made fully accessible to allow further exploration. The datasets here are related to the research article on metazoan macromolecular complexes in Nature [1]. Elsevier 2015-12-12 /pmc/articles/PMC4738005/ /pubmed/26870755 http://dx.doi.org/10.1016/j.dib.2015.11.062 Text en © 2016 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Phanse, Sadhna
Wan, Cuihong
Borgeson, Blake
Tu, Fan
Drew, Kevin
Clark, Greg
Xiong, Xuejian
Kagan, Olga
Kwan, Julian
Bezginov, Alexandr
Chessman, Kyle
Pal, Swati
Cromar, Graham
Papoulas, Ophelia
Ni, Zuyao
Boutz, Daniel R.
Stoilova, Snejana
Havugimana, Pierre C.
Guo, Xinghua
Malty, Ramy H.
Sarov, Mihail
Greenblatt, Jack
Babu, Mohan
Derry, W. Brent
Tillier, Elisabeth R.
Wallingford, John B.
Parkinson, John
Marcotte, Edward M.
Emili, Andrew
Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
title Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
title_full Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
title_fullStr Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
title_full_unstemmed Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
title_short Proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
title_sort proteome-wide dataset supporting the study of ancient metazoan macromolecular complexes
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4738005/
https://www.ncbi.nlm.nih.gov/pubmed/26870755
http://dx.doi.org/10.1016/j.dib.2015.11.062
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