Vandesompele, Jo

Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

Vandesompele, J., De Preter, K., Pattyn, F., Poppe, B., Van Roy, N., De Paepe, A., & Speleman, F. (2002) · Genome Biology

Molecular Biology Techniques and ApplicationsGene expression and cancer classification

Cited by 20,038

The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments

Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G. L., et al. (2009) · Clinical Chemistry

Molecular Biology Techniques and ApplicationsMeta-analysis and systematic reviews

Cited by 16,303

qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

Hellemans, J., Mortier, G., De Paepe, A., Speleman, F., & Vandesompele, J. (2007) · Genome Biology

Molecular Biology Techniques and ApplicationsGene expression and cancer classification

Cited by 4,023

EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research

EV-TRACK Consortium, Van Deun, J., Mestdagh, P., Agostinis, P., Akay, Ö., Anand, S., Anckaert, J., Martinez, Z. A., Baetens, T., Beghein, E., et al. (2017) · Nature Methods

Extracellular vesicles in diseaseAcademic Publishing and Open Access

Cited by 1,284

The Digital MIQE Guidelines: Minimum Information for Publication of Quantitative Digital PCR Experiments

Huggett, J. F., Foy, C. A., Benes, V., Emslie, K., Garson, J. A., Haynes, R., Hellemans, J., Kubista, M., Mueller, R. D., Nolan, T., et al. (2013) · Clinical Chemistry

Molecular Biology Techniques and ApplicationsClinical Laboratory Practices and Quality Control

Cited by 859

Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

Taylor, C. F., Field, D., Sansone, S.-A., Aerts, J., Apweiler, R., Ashburner, M., Ball, C. A., Binz, P.-A., Bogue, M., Booth, T., et al. (2008) · Nature Biotechnology

Research Data Management PracticesScientific Computing and Data Management

Cited by 558

LNCipedia 5: towards a reference set of human long non-coding RNAs

Volders, P.-J., Anckaert, J., Verheggen, K., Nuytens, J., Martens, L., Mestdagh, P., & Vandesompele, J. (2019) · Nucleic Acids Research

Cancer-related molecular mechanisms researchGenomics and Phylogenetic Studies

Cited by 547

Comparison of RNA-seq and microarray-based models for clinical endpoint prediction

Zhang, W., Yu, Y., Hertwig, F., Thierry-Mieg, J., Zhang, W., Thierry-Mieg, D., Wang, J., Furlanello, C., Devanarayan, V., Cheng, J., et al. (2015) · Genome Biology

Gene expression and cancer classificationNeuroblastoma Research and Treatments

Cited by 393

Amphiregulin and epiregulin mRNA expression in primary tumors predicts outcome in metastatic colorectal cancer treated with cetuximab.

Jacobs, B., De Roock, W., Piessevaux, H., Van Oirbeek, R., Biesmans, B., De Schutter, J., Fieuws, S., Vandesompele, J., Peeters, M., Van Laethem, J.-L., et al. (2009) · Journal of Clinical Oncology

Colorectal Cancer Treatments and StudiesHER2/EGFR in Cancer Research

Cited by 368

The miR-17-92 MicroRNA Cluster Regulates Multiple Components of the TGF-β Pathway in Neuroblastoma

Mestdagh, P., Boström, A.-K., Impens, F., Fredlund, E., Van Peer, G., De Antonellis, P., von Stedingk, K., Ghesquière, B., Schulte, S., Dews, M., et al. (2010) · Molecular Cell

MicroRNA in disease regulationTGF-β signaling in diseases

Cited by 314

The need for transparency and good practices in the qPCR literature

Bustin, S. A., Benes, V., Garson, J., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G., et al. (2013) · Nature Methods

Molecular Biology Techniques and ApplicationsMeta-analysis and systematic reviews

Cited by 281

Lysine-specific demethylase 1 restricts hematopoietic progenitor proliferation and is essential for terminal differentiation

Sprüssel, A., Schulte, J. H., Weber, S., Necke, M., Händschke, K., Thor, T., Pajtler, K. W., Schramm, A., König, K., Diehl, L., et al. (2012) · Leukemia

Hematopoietic Stem Cell TransplantationAcute Myeloid Leukemia Research

Cited by 203

Predicting outcomes for children with neuroblastoma using a multigene-expression signature: a retrospective SIOPEN/COG/GPOH study

Vermeulen, J., De Preter, K., Naranjo, A., Vercruysse, L., Van Roy, N., Hellemans, J., Swerts, K., Bravo, S., Scaruffi, P., Tonini, G. P., et al. (2009) · The Lancet Oncology

Neuroblastoma Research and TreatmentsNeurofibromatosis and Schwannoma Cases

Cited by 192

Prognostic Impact of Gene Expression–Based Classification for Neuroblastoma

Oberthuer, A., Hero, B., Berthold, F., Juraeva, D., Faldum, A., Kahlert, Y., Asgharzadeh, S., Seeger, R., Scaruffi, P., Tonini, G. P., et al. (2010) · Journal of Clinical Oncology

Neuroblastoma Research and TreatmentsBreast Cancer Treatment Studies

Cited by 135

Closing the circle: current state and perspectives of circular RNA databases

Vromman, M., Vandesompele, J., & Volders, P.-J. (2021) · Briefings in Bioinformatics

Circular RNAs in diseasesRNA Research and Splicing

Cited by 111