SynthesisScientific reports2016
Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders.
Synthesis in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Transcriptome meta-analysis and validation to discovery of hub genes and pathways in focal and segmental glomerulosclerosis.BMC nephrology · 2024Pooled it
- Network-based gene deletion analysis identifies candidate genes and molecular mechanism involved in clear cell renal cell carcinoma.Journal of genetics · 2021Pooled it
- Meta-analysis based gene expression profiling reveals functional genes in ovarian cancer.Bioscience reports · 2020Pooled it
- Pooled it
- Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes.Scientific reports · 2017Pooled it
- Multi-Compartment Transcriptomics Identifies a Persistent Inflammatory Program and a Network-Derived Diagnostic Signature in Polycythemia Vera.International journal of molecular sciences · 2026Article
- In silico exploration of anti-prostate cancer compounds from differential expressed genes.BMC urology · 2024Article
- A Meta-analysis of Transcriptome Data to Investigate the Effect of Soy Isoflavones on Breast Cancer Cell.Iranian journal of biotechnology · 2024Article
- Molecular crosstalk between COVID-19 and Alzheimer's disease using microarray and RNA-seq datasets: A system biology approach.Frontiers in medicine · 2023Article
- Unraveling LGALS1 as a Potential Immune Checkpoint and a Predictor of the Response to Anti-PD1 Therapy in Clear Cell Renal Carcinoma.Pathology oncology research : POR · 2020Article
- Construction of the gene regulatory network identifies MYC as a transcriptional regulator of SWI/SNF complex.Scientific reports · 2020Article
- Available Software for Meta-analyses of Genome-wide Expression Studies.Current genomics · 2019Review
- Meta-Analysis of HTLV-1-Infected Patients Identifies CD40LG and GBP2 as Markers of ATLL and HAM/TSP Clinical Status: Two Genes Beat as One.Frontiers in genetics · 2019Article
- Mechanotransduction signaling in podocytes from fluid flow shear stress.American journal of physiology. Renal physiology · 2018Article
- Identification of Shared Molecular Signatures Indicate the Susceptibility of Endometriosis to Multiple Sclerosis.Frontiers in genetics · 2018Article
- Pathogenesis of thrombosis: cellular and pharmacogenetic contributions.Cardiovascular diagnosis and therapy · 2017Review
- Complications and management of coagulation disorders in leukemia patients.Blood and lymphatic cancer : targets and therapy · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thrombosis is a leading cause of morbidity and mortality in patients with myeloproliferative disorders (MPDs), particularly polycythemia vera (PV) and essential thrombocythemia (ET). Despite the attempts to establish a link between them, the shared biological mechanisms are yet to be characterized. An integrated gene expression meta-analysis of five independent publicly available microarray data of the three diseases was conducted to identify shared gene expression signatures and overlapping biological processes. Using INMEX bioinformatic tool, based on combined Effect Size (ES) approaches, we identified a total of 1,157 differentially expressed genes (DEGs) (697 overexpressed and 460 underexpressed genes) shared between the three diseases. EnrichR tool's rich library was used for comprehensive functional enrichment and pathway analysis which revealed "mRNA Splicing" and "SUMO E3 ligases SUMOylate target proteins" among the most enriched terms. Network based meta-analysis identified MYC and FN1 to be the most highly ranked hub genes. Our results reveal that the alterations in biomarkers of the coagulation cascade like F2R, PROS1, SELPLG and ITGB2 were common between the three diseases. Interestingly, the study has generated a novel database of candidate genetic markers, pathways and transcription factors shared between thrombosis and MPDs, which might aid in the development of prognostic therapeutic biomarkers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.