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Jo Vandesompele

Researcher at Ghent University

Publications -  406
Citations -  67052

Jo Vandesompele is an academic researcher from Ghent University. The author has contributed to research in topics: Neuroblastoma & microRNA. The author has an hindex of 88, co-authored 383 publications receiving 59368 citations. Previous affiliations of Jo Vandesompele include Washington University in St. Louis & Ghent University Hospital.

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Computational deconvolution of transcriptomics data from mixed cell populations.

TL;DR: This review highlights the importance and value of computational deconvolution methods to infer the abundance of different cell types and/or cell type-specific expression profiles in heterogeneous samples without performing physical cell sorting.
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Deep sequencing reveals differential expression of microRNAs in favorable versus unfavorable neuroblastoma

TL;DR: In this paper, the authors analyzed the small RNA transcriptomes of five favorable and five unfavorable NBs using SOLiD next-generation sequencing, generating a total of >188 000 000 reads.
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Monoallelic but not biallelic loss of Dicer1 promotes tumorigenesis in vivo.

TL;DR: It is shown that although monoallelic loss of Dicer1 does not affect normal retinal development, it dramatically accelerates tumor formation on a retinoblastoma-sensitized background and concludes that Dicer 1 functions as a haploinsufficient tumor suppressor.
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Measurable impact of RNA quality on gene expression results from quantitative PCR

TL;DR: A measurable impact of RNA quality is observed on the variation of the reference genes, on the significance of differential expression of prognostic marker genes between two cancer patient risk groups, and on risk classification performance using a multigene signature is observed.
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Expression profiling suggests underexpression of the GABAA receptor subunit δ in the fragile X knockout mouse model

TL;DR: Three differentially expressed cDNAs showed consistent underexpression in the fragile X knockout mouse, including a GABA(A) receptor subunit delta, a Rho guanine exchange factor 12 and an EST BU563433, and 5 genes that showed differential expression dependent on the sample of RNA analysis are identified.