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Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains

Here we provide data for SILAC and iTRAQ based hyperplexing combined with BONCAT based click chemistry for selective enrichment of newly synthesized proteins secreted by THP1 macrophages at various time points after infection with four different strains of Mycobacterium tuberculosis. The macrophages...

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Autores principales: Kumar, Ajay, Jamwal, Shilpa, Midha, Mukul Kumar, Hamza, Baseerat, Aggarwal, Suruchi, Yadav, Amit Kumar, Rao, Kanury V.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030312/
https://www.ncbi.nlm.nih.gov/pubmed/27672675
http://dx.doi.org/10.1016/j.dib.2016.08.055
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author Kumar, Ajay
Jamwal, Shilpa
Midha, Mukul Kumar
Hamza, Baseerat
Aggarwal, Suruchi
Yadav, Amit Kumar
Rao, Kanury V.S.
author_facet Kumar, Ajay
Jamwal, Shilpa
Midha, Mukul Kumar
Hamza, Baseerat
Aggarwal, Suruchi
Yadav, Amit Kumar
Rao, Kanury V.S.
author_sort Kumar, Ajay
collection PubMed
description Here we provide data for SILAC and iTRAQ based hyperplexing combined with BONCAT based click chemistry for selective enrichment of newly synthesized proteins secreted by THP1 macrophages at various time points after infection with four different strains of Mycobacterium tuberculosis. The macrophages were infected with H37Ra, H37Rv, BND433 and JAL2287 strains of M. tuberculosis. Newly-synthesized secreted host proteins were observed, starting from six hours post-infection till 26 h, at 4 h intervals. We have combined BONCAT with hyperplexing (18-plex), which blends SILAC and iTRAQ, for the first time. Two sets of triplex SILAC were used to encode the strains of M. tuberculosis - H37Ra & H37Rv in one and BND433 & JAL2287 in another with a control in each. BONCAT was used to enrich the secretome for newly synthesized proteins while 6-plex iTRAQ labeling was employed to quantify the temporal changes in the captured proteome. Each set of 18-plex was run in 4 MS replicates with two linear and two non-linear separation modes. This new variant of hyperplexing method, combining triplex SILAC with 6-plex iTRAQ, achieves 18-plex quantitation in a single MS run. Hyperplexing enables large scale spatio-temporal systems biology studies where large number of samples can be processed simultaneously and in quantitative manner. Data are available via ProteomeXchange with identifier ProteomeXchange: PXD004281.
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spelling pubmed-50303122016-09-26 Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains Kumar, Ajay Jamwal, Shilpa Midha, Mukul Kumar Hamza, Baseerat Aggarwal, Suruchi Yadav, Amit Kumar Rao, Kanury V.S. Data Brief Data Article Here we provide data for SILAC and iTRAQ based hyperplexing combined with BONCAT based click chemistry for selective enrichment of newly synthesized proteins secreted by THP1 macrophages at various time points after infection with four different strains of Mycobacterium tuberculosis. The macrophages were infected with H37Ra, H37Rv, BND433 and JAL2287 strains of M. tuberculosis. Newly-synthesized secreted host proteins were observed, starting from six hours post-infection till 26 h, at 4 h intervals. We have combined BONCAT with hyperplexing (18-plex), which blends SILAC and iTRAQ, for the first time. Two sets of triplex SILAC were used to encode the strains of M. tuberculosis - H37Ra & H37Rv in one and BND433 & JAL2287 in another with a control in each. BONCAT was used to enrich the secretome for newly synthesized proteins while 6-plex iTRAQ labeling was employed to quantify the temporal changes in the captured proteome. Each set of 18-plex was run in 4 MS replicates with two linear and two non-linear separation modes. This new variant of hyperplexing method, combining triplex SILAC with 6-plex iTRAQ, achieves 18-plex quantitation in a single MS run. Hyperplexing enables large scale spatio-temporal systems biology studies where large number of samples can be processed simultaneously and in quantitative manner. Data are available via ProteomeXchange with identifier ProteomeXchange: PXD004281. Elsevier 2016-09-05 /pmc/articles/PMC5030312/ /pubmed/27672675 http://dx.doi.org/10.1016/j.dib.2016.08.055 Text en © 2016 The Authors 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
Kumar, Ajay
Jamwal, Shilpa
Midha, Mukul Kumar
Hamza, Baseerat
Aggarwal, Suruchi
Yadav, Amit Kumar
Rao, Kanury V.S.
Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
title Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
title_full Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
title_fullStr Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
title_full_unstemmed Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
title_short Dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
title_sort dataset generated using hyperplexing and click chemistry to monitor temporal dynamics of newly synthesized macrophage secretome post infection by mycobacterial strains
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030312/
https://www.ncbi.nlm.nih.gov/pubmed/27672675
http://dx.doi.org/10.1016/j.dib.2016.08.055
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