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PXD051070

PXD051070 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleNon-depleted human plasma proteome of pulmonary tuberculosis
DescriptionNovel biomarkers to identify infectious patients transmitting Mycobacterium tuberculosis are urgently needed to control the global tuberculosis (TB) pandemic. We hypothesized that proteins released into the plasma in active pulmonary TB are clinically useful biomarkers to distinguish TB cases from healthy individuals and patients with other respiratory infections. We applied a highly sensitive non-depletion tandem mass spectrometry discovery approach to investigate plasma protein expression in pulmonary TB cases compared to healthy controls in South African and Peruvian cohorts. . Plasma samples were analysed from 11 untreated male patients with active pulmonary TB and 10 male healthy control samples. Each plasma sample was initially separated into four segments by size exclusion chromatography, and each segment was processed individually. Analyses of plasma segments were performed in twelve iTRAQ (isobaric tags for relative and absolute quantification) 8-plex experimental sets in a block randomised design comprising three experimental sets. Each iTRAQ experiment contained a bridging master-pool plasma sample run in every experiment. Healthy controls were matched to TB samples by age, ethnicity, and smoking status within each iTRAQ set. Protein abundances from the plasma segments and multi-consensus reports were combined and adjusted for experimental batch effects. Protein abundances from the remaining combined plasma segment proteomes between experimental sets and the combined multi-consensus proteomes were analysed by complementary bioinformatic approaches to identify candidate diagnostic protein biomarkers. In total, 4,696 protein identifications were made across all iTRAQ experiments, at 5% FDR (false discovery rate). This comprised 2,332 unique host-derived proteins and 22 Mtb-derived proteins. Of these, 594 host proteins had a quantification result for every sample analysed and therefore comprised the complete quantified proteome. Subsequent bioinformatic analysis identified 118 differentially expressed proteins by three complementary bioinformatic pipelines and were taken forward in subsequent validation work as strong candidate biomarkers of pulmonary TB.
HostingRepositoryPRIDE
AnnounceDate2024-06-22
AnnouncementXMLSubmission_2024-06-22_13:16:25.380.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterHannah Schiff
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListphosphorylated residue; monohydroxylated residue; deamidated residue
InstrumentOrbitrap Fusion; LTQ Orbitrap Elite
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-03-28 11:03:05ID requested
12024-06-22 13:16:26announced
Publication List
Schiff HF, Walker NF, Ugarte-Gil C, Tebruegge M, Manousopoulou A, Garbis SD, Mansour S, Wong PHM, Rockett G, Piazza P, Niranjan M, Vallejo AF, Woelk CH, Wilkinson RJ, Tezera LB, Garay-Baquero D, Elkington P, Integrated plasma proteomics identifies tuberculosis-specific diagnostic biomarkers. JCI Insight, 9(8):(2024) [pubmed]
10.1172/jci.insight.173273;
Keyword List
submitter keyword: Human, Tuberculosis, Plasma, Biomarkers
Contact List
Spiros Garbis
contact affiliationProteas Bioanalytics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
contact emails.d.garbis@proteas-bioanalytics.com
lab head
Hannah Schiff
contact affiliationUniversity of Southampton
contact emailh.schiff@soton.ac.uk
dataset submitter
Full Dataset Link List
Dataset FTP location
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