Dataset Information

Quantitative Proteomics of Medium-Sized Extracellular Vesicle-Enriched Plasma of Lacunar Infarction for the Discovery of Prognostic Biomarkers

ABSTRACT: Lacunar infarction (LACI), a difficult to diagnose, subtype of acute ischemic stroke affects around 25% of all ischemic stroke cases. Despite having an excellent recovery during acute phase, certain LACI patients have poor mid- to long-term prognosis due to the recurrence of vascular events or dementia. The existing clinical protocols are unable to predict the prognosis of LACI patients. Blood-based biomarkers maybe useful as complementary prognostic and research tools.

INSTRUMENT(S): QSTAR

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Platelet, Blood Plasma

DISEASE(S): Cardiovascular System Disease

SUBMITTER: SoFong Cam Ngan

LAB HEAD: Newman Sze

PROVIDER: PXD032225 | Pride | 2023-03-11

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	191011_Arnab_plasma_iTRAQ_P1_A_0.wiff	Wiff
	191011_Arnab_plasma_iTRAQ_P1_A_0.wiff.scan	Wiff
	191011_Arnab_plasma_iTRAQ_P1_A_10.wiff	Wiff
	191011_Arnab_plasma_iTRAQ_P1_A_10.wiff.scan	Wiff
	191011_Arnab_plasma_iTRAQ_P1_A_12.wiff	Wiff

Items per page:

1 - 5 of 392

Publications

Quantitative Proteomics of Medium-Sized Extracellular Vesicle-Enriched Plasma of Lacunar Infarction for the Discovery of Prognostic Biomarkers.

Datta Arnab A Chen Christopher C Gao Yong-Gui YG Sze Siu Kwan SK

International journal of molecular sciences 20221001 19

Lacunar infarction (LACI), a subtype of acute ischemic stroke, has poor mid- to long-term prognosis due to recurrent vascular events or incident dementia which is difficult to predict using existing clinical data. Herein, we aim to discover blood-based biomarkers for LACI as a complementary prognostic tool. Convalescent plasma was collected from forty-five patients following a non-disabling LACI along with seventeen matched control subjects. The patients were followed up prospectively for up to ...[more]

PMID: 36232970

Similar Datasets

Project description:Healing process after connective tissues (CT) injury is complex but important as CT are critical for human moving, and patient outcome of CT injured patients is protracted with high individual variation. Specific markers which could be used for healing prognosis will be great help to monitor patient outcome, and furtherly improve target treatment and patient recovery. Although several common factors like age, gender and body mass index (BMI) were reported to predict ATR healing outcome [references], more specific markers which can be used as predictors of patient outcome after ATR are still lacking. Several biomarkers have been reported to associate with tendon healing, and indicated their relationship with patient outcome(1-4). These results highlight the potential of protein expression detection and analysis for tendon study in general and healing outcome prognosis in particular. Collagen type I (Col1a1) is the main component of Achilles tendon and plays vital role in tendon healing via involving in collagen fibrils production among tendon fibroblasts(5). Higher production of Col1a1 is associated with faster tendon repair(6), previous study on animal model reported the increased Col1a1 synthesis can exert a positive effect on tendon healing[?]. Thus, functional proteins with high impact on Col1a1 can be used not only to improve tendon healing, also can be as targets for healing improvement and outcome prediction. The proteome file of Achilles tendon which is important to increase understanding of tendon healing and help to identify accurate outcome-related biomarkers is however lagged behind. The identification of proteomic profile of Achilles tendon is very much limited in number of proteins and sample size(7-9), and is even few on human. Recent improvement in proteomic assay based on mass spectrometry (MS) made it possible to assemble the proteomic landscape of human tissues(10, 11) with high quality and sensitivity. To characterize the proteomic components in human Achilles tendon, we utilized biopsies from ATR patients with both good and poor 1-year healing outcome. A validated platform including quantitative MS and clinical database was used to identify proteomic landscape and potential bio-predictors of clinical outcome. Our study may provide a more comprehensive landscape of proteins for human Achilles tendon, as well as specific biomarkers which can be used for long term outcome prognosis after ATR.

Project 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.

Project 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 net-like correlation structures, we identified a set of differentially expressed genes and proteins 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 as potential candidates as blood biomarkers of cerebral ischemia and hence they were evaluated in blood samples from ischemic and sham-control mice and in ischemic strokes and 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 that enabled us to elucidate by means of biostatistical tools key elements of the initial stages of the stroke pathophysiology and highlight new outstanding proteins that might be further considered as blood biomarkers of ischemic stroke.

Project description:Background: Previous study showed that stroke may be a potential first sign of neoplasia. But the relationship between them remains unclear. Besides, ischemic stroke is a complex brain disease, which involves cell death or complex immune regulation. Thus, it is necessary to reveal the association of tumor immune microenvironment and cell death with ischemic stroke. Methods: Here, a photothrombosis-induced ischemic injury models of brain and skull was established. We compared and analyzed the pattern of gene expression profile between brain and skull after ischemic injury by transcriptome analysis. Further, we investigated the enrichment of relevant differential genes in cancer pathways and cell death pathways, and analyzed changes in the immune microenvironment after ischemic injury. Moreover, the pan-cancer genomic and prognosis analysis of ischemic injury related gene set were performed. Results: The results showed that the gene expression patterns were different in temporal and spatial locations after ischemic injury. We found that the effect on the transcriptome of the brain after skull ischemic injury was particularly large, but it could be recovered in a short period, while the effect on the skull after brain ischemic injury was long-lasting. The expression of genes related to ischemic injury is also associated with cell death and cancer hallmark pathways. In addition, changes in the abundance of immune cells indicate that brain ischemic injury may disrupt its immune microenvironment for a longer time, while skull can better balance the stability of immune microenvironment. Moreover, the brain ischemic injury-related gene sets are highly correlated with a variety of tumors, especially GBM, KIRC, LGG and UVM after stroke have a greater risk of death. Conclusion: This study gives us a new understanding of the role of the skull in brain ischemic injury, and reveals the association of tumor immune microenvironment and cell death with ischemic stroke.

Project description:This SuperSeries is composed of the following subset Series: GSE10697: Self-Self Hybridisation were used to set confidence 99% intervals GSE10698: The effects of artificial tethering of chromosomes to the nuclear periphery using LacI/lap2b anchorage constructs 1 GSE10699: The effects of artificial tethering of chromosomes to the nuclear periphery using LacI/lap2b anchorage constructs 2 Background: The spatial organisation of the genome in the nucleus has a role in the regulation of gene expression. In mammals, chromosomal regions with low gene-density are located close to the nuclear periphery. Correlations have also been made between the transcriptional state of some genes and their location near the nuclear periphery. However, a crucial issue is whether this level of nuclear organisation directly affects gene function, rather than merely reflecting it. Methodology: To directly investigate whether proximity to the nuclear periphery can influence gene expression in mammalian cells. here we relocate specific human chromosomes to the nuclear periphery by tethering them to a protein of the inner nuclear membrane. Principal findings: We show that this can reversibly suppress the expression of some endogenous human genes located near the tethering sites, and even genes further away. However, the expression of many other genes is not detectably reduced and we show that location at the nuclear periphery is not incompatible with active transcription. The dampening of gene expression around the nuclear periphery is dependent on the activity of histone deacetylases. Significance: Our data show that the radial position within the nucleus can influence the expression of some, but not all, genes. This is compatible with the suggestion that re-localisation of genes to the peripheral zone of the nucleus could be used by metazoans to modulate the expression of selected genes during development and differentiation. Keywords: SuperSeries Refer to individual Series