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Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients

Elucidation of molecular markers related to the mounted immune response is crucial for understanding the disease pathogenesis. In this article, we present the mass-spectrometry-based metabolomic and proteomic data of blood plasma of COVID-19 patients collected at two-time points, which showed a tran...

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Autores principales: Rajoria, Sakshi, Nissa, Mehar Un, Suvarna, Kruthi, Khatri, Harsh, Srivastava, Sanjeeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678393/
https://www.ncbi.nlm.nih.gov/pubmed/36437893
http://dx.doi.org/10.1016/j.dib.2022.108765
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author Rajoria, Sakshi
Nissa, Mehar Un
Suvarna, Kruthi
Khatri, Harsh
Srivastava, Sanjeeva
author_facet Rajoria, Sakshi
Nissa, Mehar Un
Suvarna, Kruthi
Khatri, Harsh
Srivastava, Sanjeeva
author_sort Rajoria, Sakshi
collection PubMed
description Elucidation of molecular markers related to the mounted immune response is crucial for understanding the disease pathogenesis. In this article, we present the mass-spectrometry-based metabolomic and proteomic data of blood plasma of COVID-19 patients collected at two-time points, which showed a transition from non-severe to severe conditions during these time points. Metabolites were extracted and subjected to mass spectrometric analysis using the Q-Exactive mass spectrometer. For proteomic analysis, depleted plasma samples were tryptic digested and subjected to mass spectrometry analysis. The expression of a few significant proteins was also validated by employing the targeted proteomic approach of multiple reaction monitoring (MRM). Integrative pathway analysis was performed with the significant proteins to obtain biological insights into disease severity. For discussion and more information on the dataset creation, please refer to the related full-length article (Suvarna et al., 2021).
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spelling pubmed-96783932022-11-22 Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients Rajoria, Sakshi Nissa, Mehar Un Suvarna, Kruthi Khatri, Harsh Srivastava, Sanjeeva Data Brief Data Article Elucidation of molecular markers related to the mounted immune response is crucial for understanding the disease pathogenesis. In this article, we present the mass-spectrometry-based metabolomic and proteomic data of blood plasma of COVID-19 patients collected at two-time points, which showed a transition from non-severe to severe conditions during these time points. Metabolites were extracted and subjected to mass spectrometric analysis using the Q-Exactive mass spectrometer. For proteomic analysis, depleted plasma samples were tryptic digested and subjected to mass spectrometry analysis. The expression of a few significant proteins was also validated by employing the targeted proteomic approach of multiple reaction monitoring (MRM). Integrative pathway analysis was performed with the significant proteins to obtain biological insights into disease severity. For discussion and more information on the dataset creation, please refer to the related full-length article (Suvarna et al., 2021). Elsevier 2022-11-22 /pmc/articles/PMC9678393/ /pubmed/36437893 http://dx.doi.org/10.1016/j.dib.2022.108765 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Rajoria, Sakshi
Nissa, Mehar Un
Suvarna, Kruthi
Khatri, Harsh
Srivastava, Sanjeeva
Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients
title Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients
title_full Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients
title_fullStr Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients
title_full_unstemmed Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients
title_short Multiomics data analysis workflow to assess severity in longitudinal plasma samples of COVID-19 patients
title_sort multiomics data analysis workflow to assess severity in longitudinal plasma samples of covid-19 patients
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678393/
https://www.ncbi.nlm.nih.gov/pubmed/36437893
http://dx.doi.org/10.1016/j.dib.2022.108765
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