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PXD051220-1

PXD051220 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleA systems-based approach to uterine fibroids identifies differential splicing associated with abnormal uterine bleeding
DescriptionUterine fibroids are benign tumours affecting up to 80% of women of reproductive age, with 30% of patients suffering severe symptoms including abnormal uterine bleeding, pain and infertility. Several studies have identified mutations in MED12 or HMGA2 that account for the vast majority of genomic abnormalities in uterine fibroids, however, the processes by which these lead to UFs and HMB remain poorly understood. To systematically correlate genetic, transcriptional and proteomic phenotypes we collected fibroid, myometrium and endometrium tissues from 137 donors undergoing hysterectomy, myomectomy, or transcervical resection. Donors were profiled by genome-wide SNP arrays and their fibroids were genotyped for known mutations using a targeted sequencing approach. Tissues were analysed by RNA-sequencing and proteomics followed by a systems level approach using multiomics factor analysis. Whilst genotyping revealed 39.7% of common MED12 UF mutations, we observe multiple novel exonic and intronic variants of previously known mutated genes like COL4A5 and COL4A6. Systems level analysis of genotype, transcriptomic, and proteomic data between myometrium and fibroid donors identified multiple interrelated gene sets involved in UF pathophysiology, including extracellular matrix deposition and remodelling, protein glycosylation and sulphate biology. Equivalent analysis of endometrium stratified by donor HMB status revealed gene sets implicated in the condition, in particular RNA splicing in MED12 mutant fibroids. A paradigm is proposed, supported by a mouse model of HMB, whereby aberrant production of signalling molecules by MED12 mutant fibroids influences RNA transcript isoform expression in the endometrium, associated with abnormal bleeding. By merging clinical, genetic, transcriptomic, and proteomic information, we highlight multiple pathways which may underlie the pathomechanisms of UF biology and may facilitate the development of novel therapeutic strategies to treat heavy menstrual bleeding
HostingRepositoryPRIDE
AnnounceDate2025-08-25
AnnouncementXMLSubmission_2025-08-24_23:08:41.031.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterDarragh O'Brien
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListmonohydroxylated residue; iodoacetamide derivatized residue
InstrumentOrbitrap Fusion Lumos
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-04-05 08:29:59ID requested
12025-08-24 23:08:41announced
Publication List
10.1038/s43856-025-01051-x;
Wang CY, Philpott M, P O'Brien D, Ndungu A, Malzahn J, Maritati M, Mehta N, Gamble V, Martinez-Burgo B, Bonham S, Fischer R, Garbutt K, Becker CM, Manek S, Harris AL, Sacher F, Obendorf M, Schmidt N, M, ΓΌ, ller J, Zollner TM, Zondervan KT, Kessler BM, Oppermann U, Cribbs AP, A systems-based approach to uterine fibroids identifies differential splicing associated with abnormal uterine bleeding. Commun Med (Lond), 5(1):318(2025) [pubmed]
Keyword List
submitter keyword: Uterine Fibroids, Proteomics
Contact List
Darragh O'Brien
contact affiliationTarget Discovery Institute
contact emaildarragh.obrien@ndm.ox.ac.uk
lab head
Darragh O'Brien
contact affiliationTarget Discovery Institute, University of Oxford
contact emaildarragh.obrien@ndm.ox.ac.uk
dataset submitter
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