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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9138805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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