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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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Journal ArticleDOI

Cancer Gene Prioritization for Targeted Resequencing Using FitSNP Scores

TL;DR: A gene prioritization strategy based on the fitSNP scores appears to be most successful in identifying mutated cancer genes across different tumor entities, with variance of gene expression levels as a good second best.
Posted ContentDOI

Evaluation of efficiency and sensitivity of 1D and 2D sample pooling strategies for diagnostic screening purposes

TL;DR: It is shown that the choice of pooling method and pool size is an intricate decision with a prevalence-dependent efficiency-sensitivity trade-off, and 1D and 2D pooling strategies are compared.
Journal ArticleDOI

Transient nuclear lamin A/C accretion aids in recovery from vapor nanobubble-induced permeabilisation of the plasma membrane

TL;DR: In this paper , a longitudinal shotgun RNA-sequencing experiment was performed to obtain a comprehensive view on the transcriptional rewiring that takes place after VNB photoporation, and they found a marked upregulation of LMNA transcripts as well as their protein products.
Journal ArticleDOI

Transient nuclear lamin A/C accretion aids in recovery from vapor nanobubble-induced permeabilisation of the plasma membrane

TL;DR: In this article , a longitudinal shotgun RNA-sequencing experiment was performed to obtain a comprehensive view on the transcriptional rewiring that takes place after VNB photoporation, and they found a marked upregulation of LMNA transcripts as well as their protein products.
Proceedings ArticleDOI

Abstract 2987: Regulatory network discovery using 3-way integration of high-dimensional mRNA, miRNA and lncRNA expression data from the entire NCI60 cancer cell line panel

TL;DR: The results of an unprecedented integrated analysis aimed at identifying networks of highly co-regulated miRNA-lncRNA-mRNA clusters centered around key cancer genes are presented and the complex interplay is described.