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PXD059114-1

PXD059114 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomic analysis of hPOP stool samples
DescriptionHow humans differ from one another at the molecular level and the impact of ethnicity, age and environmental factors such as diet and geography are poorly understood. To address this gap, we analyzed 322 nominally healthy individuals from diverse ethnic backgrounds located in distinct geographical regions, using (1) deep multi-omic profiling - including genome sequencing, transcriptomics, glycomics, targeted and untargeted metabolomics, lipidomics, proteomics, 16S microbiota sequencing, metaproteomics, metallomics, and metabolic hormone and pathogen profiling, (2) clinical data collection, and (3) comprehensive lifestyle surveys. Our integrative analysis revealed several key findings: associations between molecular profiles (transcripts, proteins, metabolites, lipids, glycans, and microbiota) and age, ethnicity, and geographical residence (including diet) among healthy individuals; ethnicity-specific genetic polymorphisms in key genes governing whole-body homeostasis, particularly in lipid/carbohydrate metabolism and neuroinflammation pathways; and variation in the abundance of key proteins such as the TERF2 interacting protein (TERF2IP) which is critical for cellular aging, genome stability, and protection against chromosomal degradation. These findings hold significant translational value, particularly in understanding ethnicity as a risk factor for autoimmune diseases. Many ethnicity-associated molecules identified in our study interact with existing therapeutic drugs, highlighting the potential need for ethnicity-specific drug dosing adjustments. Furthermore, our results suggest that geographical factors influence ethnic patterns, which may, in turn, affect longevity. individuals with European ancestry exhibited a lower phenotypic age, while those of Asian ancestry showed a higher phenotypic age when living outside their ancestral regions. By providing both a comprehensive baseline dataset of multi-omic variation in healthy individuals and critical insights into the molecular basis of human diversity, our study enhances our understanding of how environmental and genetic factors influence phenotypic and molecular traits and potentially augments individualized health approaches.
HostingRepositoryPRIDE
AnnounceDate2026-04-14
AnnouncementXMLSubmission_2026-04-14_13:49:29.574.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterUlrike Kusebauch
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationListacetylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumenttimsTOF Pro
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-12-21 06:25:10ID requested
12026-04-14 13:49:30announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: TimsTOF, human, DDA-PASEF,stool biospecimen, data-dependent acquisition
Contact List
Robert L.
contact affiliationInstitute for Systems Biology, Seattle, WA, USA
contact emailrmoritz@systemsbiology.org
lab head
Ulrike Kusebauch
contact affiliationInstitute for Systems Biology, Seattle, WA, USA
contact emailukusebauch@systemsbiology.org
dataset submitter
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Dataset FTP location
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PRIDE project URI
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