PXD035348 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | A comprehensive comparison of Rapid and Deep Plasma Proteomics workflows to identify and quantify biomarkers of Sickle Cell Anaemia |
Description | Plasma serves as a rich source of protein biomarkers but in-depth proteomic analysis is challenging due to the vast dynamic range of protein abundance. Pre-fractionation of plasma proteins is commonly practiced to improve the proteome coverage but the protocols are time-expensive, suffer from flowchart complexity, and often less reproducible. Here, we explore multiple strategies of shotgun proteomics to optimize biomarker discovery workflows for Sickle Cell Anaemia (SCA) patients from remote India. A deep proteomics workflow via off-line reverse phase Ultra High-Pressure Liquid Chromatography based fractionation of tryptic digested plasma peptides followed by optimized pooling of peptides based on charge and hydrophobicity yielded the best depth of plasma proteome with a trade-off of significantly long experimental time. Alternatively, a rapid analysis of tryptic digested plasma peptides via a shorter gradient mass spectrometry run saves time but quantifies only ~ 50% of the proteins than the deep workflow. Intriguingly, despite the difference in proteome coverage, more than 80% of known FDA and SCA biomarkers quantified in the deep workflow are also quantified in the rapid workflow. Given the practical difficulties of sample collection and plasma preservation in rural India, we propose the deep proteomics workflow for biomarker discovery in smaller cohorts and the rapid workflow for biomarker validations in larger cohorts. Additional targeted proteomics based strategies may be designed for the validation of missing biomarkers in the rapid workflow. |
HostingRepository | PRIDE |
AnnounceDate | 2024-10-22 |
AnnouncementXML | Submission_2024-10-22_06:35:12.108.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Swasti Raychaudhuri |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | acetylated residue; iodoacetamide derivatized residue |
Instrument | Q Exactive |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2022-07-14 07:34:46 | ID requested | |
1 | 2024-04-04 07:20:05 | announced | |
⏵ 2 | 2024-10-22 06:35:12 | announced | 2024-10-22: Updated project metadata. |
Publication List
Keyword List
submitter keyword: Plasma proteomics, low abundant proteins,Sickle Cell Anaemia, Biomarkers, high abundant proteins |
Contact List
Dr. Swasti Raychaudhuri |
contact affiliation | Principal Scientist CSIR-Centre for Cellular and Molecular Biology, Uppal Road, Hyderabad - 500007, India |
contact email | rcswasti@ccmb.res.in |
lab head | |
Swasti Raychaudhuri |
contact affiliation | CSIR-Centre for Cellular and Molecular Biology |
contact email | rcswasti@ccmb.res.in |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD035348
- Label: PRIDE project
- Name: A comprehensive comparison of Rapid and Deep Plasma Proteomics workflows to identify and quantify biomarkers of Sickle Cell Anaemia