PXD016538 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | Identification of potential ischemic stroke biomarkers through a brain-based multiomics integrative approach in mice |
Description | Stroke remains a major leading cause of death and disability worldwide. Despite continuous advances, the identification of key molecular signatures of ischemic stroke within the hyper-acute phase of the disease is still of primary interest for a real translational research on stroke diagnosis, prognosis and treatment. High-throughput - omics technologies are enabling large-scale studies on stroke pathology at different molecular levels. Data integration resulting from these -omics approaches is becoming crucial to unravel the interactions among all different molecular elements and highly contribute to interpret all findings in a complex biological context. Here, we have used advanced data integration methods for multi-level joint analysis of transcriptomics and proteomics datasets depicted from the mouse brain 2h after cerebral ischemia. By modeling network-like correlation structures, we identified a set of differentially expressed genes and proteins by ischemia with a relevant association in stroke pathology. The ischemia-induced deregulation of 10 of these inter-correlated elements was successfully verified in a new cohort of ischemic mice, and changes in their expression pattern were also evaluated at a later time-point after cerebral ischemia. Of those, CLDN20, GADD45G, RGS2, BAG5 and CTNND2 were highlighted and evaluated as potential blood biomarkers of cerebral ischemia in blood samples from ischemic and sham-control mice and from ischemic strokes and other patients presenting stroke-mimicking conditions. Our findings indicated that CTNND2 and GADD45G levels in blood within the first hours after ischemic stroke might be potentially useful to discriminate ischemic strokes from mimics and to predict patients’ poor outcome after stroke, respectively. In summary, we have here used for the first time an integrative approach to elucidate by means of biostatistical tools key elements of the initial stages of the stroke pathophysiology, highlighting new outstanding proteins that might be further considered as blood biomarkers of ischemic stroke. |
HostingRepository | PRIDE |
AnnounceDate | 2020-09-02 |
AnnouncementXML | Submission_2020-09-02_01:16:29.xml |
DigitalObjectIdentifier | |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Unsupported dataset by repository |
PrimarySubmitter | Alba Simats |
SpeciesList | scientific name: Mus musculus (Mouse); NCBI TaxID: 10090; |
ModificationList | No PTMs are included in the dataset |
Instrument | LTQ Orbitrap Velos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2019-11-29 08:17:14 | ID requested | |
⏵ 1 | 2020-09-02 01:16:30 | announced | |
Publication List
Simats A, Ramiro L, Garc, í, a-Berrocoso T, Brians, ó F, Gonzalo R, Mart, í, n L, Sab, é A, Gill N, Penalba A, Colom, é N, S, á, nchez A, Canals F, Bustamante A, Rosell A, Montaner J, A Mouse Brain-based Multi-omics Integrative Approach Reveals Potential Blood Biomarkers for Ischemic Stroke. Mol Cell Proteomics, 19(12):1921-1936(2020) [pubmed] |
Keyword List
submitter keyword: proteomics |
transcriptomics |
integromics |
stroke |
ischemic brain |
mouse; |
Contact List
Joan Montaner |
contact affiliation | Neurovascular Research Laboratory, Vall d’Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain |
contact email | joan.montaner@vhir.org |
lab head | |
Alba Simats |
contact affiliation | Neurovascular Research Laboratory - Vall d'Hebron Institute of Research - Barcelona |
contact email | simatsalba@gmail.com |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD016538
- Label: PRIDE project
- Name: Identification of potential ischemic stroke biomarkers through a brain-based multiomics integrative approach in mice