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A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring

Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics scre...

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Autores principales: Bhaskar, Akash Kumar, Naushin, Salwa, Ray, Arjun, Singh, Praveen, Raj, Anurag, Pradhan, Shalini, Adlakha, Khushboo, Siddiqua, Towfida Jahan, Malakar, Dipankar, Dash, Debasis, Sengupta, Shantanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138805/
https://www.ncbi.nlm.nih.gov/pubmed/35625636
http://dx.doi.org/10.3390/biom12050709
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author Bhaskar, Akash Kumar
Naushin, Salwa
Ray, Arjun
Singh, Praveen
Raj, Anurag
Pradhan, Shalini
Adlakha, Khushboo
Siddiqua, Towfida Jahan
Malakar, Dipankar
Dash, Debasis
Sengupta, Shantanu
author_facet Bhaskar, Akash Kumar
Naushin, Salwa
Ray, Arjun
Singh, Praveen
Raj, Anurag
Pradhan, Shalini
Adlakha, Khushboo
Siddiqua, Towfida Jahan
Malakar, Dipankar
Dash, Debasis
Sengupta, Shantanu
author_sort Bhaskar, Akash Kumar
collection PubMed
description Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics screening method using a combination of variable retention time window and relative dwell time weightage. Using this method, we identified more than 1000 lipid species within 24-min. The limit of detection varied from the femtomolar to the nanomolar range. About 883 lipid species were detected with a coefficient of variance <30%. We used this method to identify plasma lipids altered due to vitamin B(12) deficiency and found a total of 18 lipid species to be altered. Some of the lipid species with ω-6 fatty acid chains were found to be significantly increased while ω-3 decreased in vitamin B(12) deficient samples. This method enables rapid screening of a large number of lipid species in a single experiment and would substantially advance our understanding of the role of lipids in biological processes.
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spelling pubmed-91388052022-05-28 A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring Bhaskar, Akash Kumar Naushin, Salwa Ray, Arjun Singh, Praveen Raj, Anurag Pradhan, Shalini Adlakha, Khushboo Siddiqua, Towfida Jahan Malakar, Dipankar Dash, Debasis Sengupta, Shantanu Biomolecules Article Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics screening method using a combination of variable retention time window and relative dwell time weightage. Using this method, we identified more than 1000 lipid species within 24-min. The limit of detection varied from the femtomolar to the nanomolar range. About 883 lipid species were detected with a coefficient of variance <30%. We used this method to identify plasma lipids altered due to vitamin B(12) deficiency and found a total of 18 lipid species to be altered. Some of the lipid species with ω-6 fatty acid chains were found to be significantly increased while ω-3 decreased in vitamin B(12) deficient samples. This method enables rapid screening of a large number of lipid species in a single experiment and would substantially advance our understanding of the role of lipids in biological processes. MDPI 2022-05-16 /pmc/articles/PMC9138805/ /pubmed/35625636 http://dx.doi.org/10.3390/biom12050709 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bhaskar, Akash Kumar
Naushin, Salwa
Ray, Arjun
Singh, Praveen
Raj, Anurag
Pradhan, Shalini
Adlakha, Khushboo
Siddiqua, Towfida Jahan
Malakar, Dipankar
Dash, Debasis
Sengupta, Shantanu
A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
title A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
title_full A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
title_fullStr A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
title_full_unstemmed A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
title_short A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
title_sort high throughput lipidomics method using scheduled multiple reaction monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138805/
https://www.ncbi.nlm.nih.gov/pubmed/35625636
http://dx.doi.org/10.3390/biom12050709
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