J
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.
Papers
More filters
Journal ArticleDOI
An update on LNCipedia: a database for annotated human lncRNA sequences
Pieter-Jan Volders,Kenneth Verheggen,Gerben Menschaert,Klaas Vandepoele,Lennart Martens,Jo Vandesompele,Pieter Mestdagh +6 more
TL;DR: Assessment of the protein-coding potential of LNCipedia entries is improved with state-of-the art methods that include large-scale reprocessing of publicly available proteomics data, and a high-confidence set of lncRNA transcripts with low coding potential is defined and made available for download.
Journal ArticleDOI
Accurate and objective copy number profiling using real-time quantitative PCR
TL;DR: This chapter provides all relevant information for a successfully implement of qPCR-based copy number analysis, and suggests an appropriate and practical way to calculate copy numbers and to objectively interpret the results.
Journal ArticleDOI
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction.
Wenqian Zhang,Ying Yu,Falk Hertwig,Falk Hertwig,Jean Thierry-Mieg,Wenwei Zhang,Danielle Thierry-Mieg,Jian Wang,Cesare Furlanello,Viswanath Devanarayan,Jie Cheng,Youping Deng,Barbara Hero,Huixiao Hong,Meiwen Jia,Li Li,Simon Lin,Yuri Nikolsky,André Oberthuer,Tao Qing,Zhenqiang Su,Ruth Volland,Charles Wang,May D. Wang,Junmei Ai,Davide Albanese,Shahab Asgharzadeh,Smadar Avigad,Wenjun Bao,Marina Bessarabova,Murray H. Brilliant,Benedikt Brors,Marco Chierici,Tzu-Ming Chu,Jibin Zhang,Richard Grundy,Min Max He,Scott J. Hebbring,Howard L. Kaufman,Samir Lababidi,Lee Lancashire,Yan Li,Xin X. Lu,Heng Luo,Heng Luo,Xiwen Ma,Baitang Ning,Rosa Noguera,Martin Peifer,John H. Phan,Frederik Roels,Frederik Roels,Carolina Rosswog,Susan Shao,Jie Shen,Jessica Theissen,Gian Paolo Tonini,Jo Vandesompele,Po-Yen Wu,Wenzhong Xiao,Joshua Xu,Weihong Xu,Jiekun Xuan,Yong Yang,Zhan Ye,Zirui Dong,Ke Zhang,Ye Yin,Chen Zhao,Yuanting Zheng,Russell D. Wolfinger,Tieliu Shi,Linda H. Malkas,Frank Berthold,Frank Berthold,Jun Wang,Weida Tong,Leming Shi,Leming Shi,Zhiyu Peng,Matthias Fischer,Matthias Fischer +81 more
TL;DR: It is demonstrated thatRNA-seq outperforms microarrays in determining the transcriptomic characteristics of cancer, while RNA-seq and microarray-based models perform similarly in clinical endpoint prediction.
Journal ArticleDOI
Selection of reference genes for quantitative real-time PCR in bovine preimplantation embryos
TL;DR: Using the geNorm application YWHAZ, GAPD and SDHA were found to be the most stable genes across the examined embryonic stages, while the commonly used ACTB was shown to be highly regulated.
Journal ArticleDOI
High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA
Pieter Mestdagh,Tom Feys,Nathalie Bernard,Simone Guenther,Caifu Chen,Franki Speleman,Jo Vandesompele +6 more
TL;DR: In this paper, the Megaplex reverse transcription format of the stem-loop primer-based real-time quantitative polymerase chain reaction (RT-qPCR) approach was used to quantify miRNA expression.