Proteomics

Dataset Information

0

Evaluation of volumetric absorptive microsampling and mass spectrometry data-independent acquisition in hemoglobin related clinical markers


ABSTRACT: Data-independent acquisition (DIA) allows comprehensive proteome coverage, and it has the potential to work as a unified protocol to determine a multitude of proteins in blood. Because of its high specificity, mass spectrometry has a high potential to reduce the interferences presented by other assays in the evaluation of blood markers. Here, we combined DIA with volumetric absorptive microsampling (VAMS) and automated proteomics sample processing as a platform to perform clinical markers determination. We evaluate, as a proof-of-concept, two hemoglobin-related clinical biomarkers: glycated hemoglobin (HbA1c) and hemoglobin variants. HbA1c by DIA showed good correlation with the reference method, but method imprecision did not meet the very low imprecision specification for the clinical evaluation of this biomarker. A strategy for identification of Hb variants was developed based on a customized database combined with a workflow for DIA data extraction and rigorous evaluation of peptides. This approach revealed Hb variants not identified by routinely clinical methods such as Hb Woodville and Hb Okayama.

ORGANISM(S): Homo Sapiens

SUBMITTER: Valdemir Carvalho  

PROVIDER: PXD029918 | panorama | Sun Sep 25 00:00:00 BST 2022

REPOSITORIES: PanoramaPublic

altmetric image

Publications

Evaluation of Volumetric Absorptive Microsampling and Mass Spectrometry Data-Independent Acquisition of Hemoglobin-Related Clinical Markers.

Lima Debora A DA   Schuch Rodrigo A RA   Salgueiro Jéssica S JS   Pintão Maria Carolina T MCT   Carvalho Valdemir M VM  

Journal of proteome research 20220630 8


Data-independent acquisition (DIA) allows comprehensive proteome coverage, while it also potentially works as a unified protocol to determine a multitude of proteins found in blood. Because of its high specificity, mass spectrometry may greatly reduce the interference observed in other assays to evaluate blood markers. Here, we combined DIA with volumetric absorptive microsampling (VAMS) and automated proteomics sample processing in a platform to assess clinical markers. As a proof of concept, w  ...[more]

Similar Datasets

2023-04-19 | GSE215843 | GEO
2022-05-24 | GSE193196 | GEO
2022-05-24 | GSE193129 | GEO
2020-03-15 | GSE96640 | GEO
2019-01-01 | GSE93203 | GEO
2009-10-07 | GSE18300 | GEO
2017-09-15 | GSE61405 | GEO
2024-03-01 | MSV000094219 | MassIVE
2024-02-22 | E-MTAB-12751 | biostudies-arrayexpress
2021-05-15 | PXD020354 | Pride