Pieter Mestdagh

ORCID: 0000-0001-7821-9684
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About
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Research Areas
  • Cancer-related molecular mechanisms research
  • Neuroblastoma Research and Treatments
  • MicroRNA in disease regulation
  • RNA modifications and cancer
  • Molecular Biology Techniques and Applications
  • RNA Research and Splicing
  • Protein Degradation and Inhibitors
  • Circular RNAs in diseases
  • Cytokine Signaling Pathways and Interactions
  • RNA and protein synthesis mechanisms
  • Signaling Pathways in Disease
  • Genomics and Phylogenetic Studies
  • Extracellular vesicles in disease
  • interferon and immune responses
  • RNA Interference and Gene Delivery
  • Cancer Genomics and Diagnostics
  • Mycobacterium research and diagnosis
  • Single-cell and spatial transcriptomics
  • Cancer, Hypoxia, and Metabolism
  • Chromatin Remodeling and Cancer
  • Ocular Oncology and Treatments
  • Epigenetics and DNA Methylation
  • Estrogen and related hormone effects
  • CRISPR and Genetic Engineering
  • Ubiquitin and proteasome pathways

Ghent University Hospital
2016-2025

Cancer Research Institute Ghent
2016-2025

Ghent University
2016-2025

VIB-UGent Center for Medical Biotechnology
2019-2024

VIB-UGent Center for Inflammation Research
2017

University of Southampton
2017

George Washington University
2017

Children's Cancer Center
2011

Baylor College of Medicine
2011

Royal College of Surgeons in Ireland
2010-2011

Jan Van Deun Pieter Mestdagh Patrizia Agostinis Özden Akay Sushma Anand and 90 more Jasper Anckaert Zoraida Andreu Martínez Tine Baetens Els Beghein Laurence Bertier Geert Berx Janneke Boere Stephanie Boukouris Michel Bremer Dominik Buschmann James Brian Byrd Clara Casert Lesley Cheng Anna Cmoch Delphine Daveloose Eva De Smedt Şeyma Demirsoy Victoria Depoorter Bert Dhondt Tom A. P. Driedonks Aleksandra M. Dudek Abdou ElSharawy Ilaria Floris Andrew D. Foers Kathrin Gärtner Abhishek D. Garg Edward Geeurickx Jan Gettemans Farzaneh Ghazavi Bernd Giebel Tom Groot Kormelink Grace Hancock Hetty Helsmoortel Andrew F. Hill Vincent Hyenne Hina Kalra David Kim Joanna Kowal Sandra Kraemer Petra Leidinger Carina Leonelli Yaxuan Liang Lien Lippens Shu Liu Alessandra Lo Cicero Shaun Martin Suresh Mathivanan Prabhu Mathiyalagan Tamás Matusek Gloria Milani Marta Tortajada Liselot Mus Dillon C. Muth Andrea H. Németh Esther N. M. Nolte‐‘t Hoen Lorraine O’Driscoll Roberta Palmulli Michael W. Pfaffl Bjarke Primdal-Bengtson Erminia Romano Quentin Rousseau Susmita Sahoo Natália G. Sampaio Monisha Samuel Benjamin J. Scicluna Bieke Soen Anneleen Steels Johannes V. Swinnen Maarit Takatalo Safia Thaminy Clotilde Théry Joeri Tulkens Isabel Van Audenhove Susanne van der Grein Alan Van Goethem Martijn J. C. van Herwijnen Guillaume van Niel Nadine Van Roy Alexander R. van Vliet Niels Vandamme Suzanne Vanhauwaert Glenn Vergauwen Frederik J. Verweij Annelynn Wallaert Marca H. M. Wauben Kenneth W. Witwer Marijke I. Zonneveld Olivier De Wever Jo Vandesompele An Hendrix

10.1038/nmeth.4185 article EN Nature Methods 2017-02-28

Abstract Gene expression analysis of microRNA molecules is becoming increasingly important. In this study we assess the use mean value all expressed microRNAs in a given sample as normalization factor for real-time quantitative PCR data and compare its performance to currently adopted approach. We demonstrate that outperforms current strategy terms better reduction technical variation more accurate appreciation biological changes.

10.1186/gb-2009-10-6-r64 article EN cc-by Genome biology 2009-06-16

Despite an enormous interest in the role of extracellular vesicles, including exosomes, cancer and their use as biomarkers for diagnosis, prognosis, drug response recurrence, there is no consensus on dependable isolation protocols. We provide a comparative evaluation 4 exosome protocols usability, yield purity, impact downstream omics approaches biomarker discovery. OptiPrep density gradient centrifugation outperforms ultracentrifugation ExoQuick Total Exosome Isolation precipitation terms...

10.3402/jev.v3.24858 article EN cc-by-nc Journal of Extracellular Vesicles 2014-01-01
Ashton C. Berger Anil Korkut Rupa S. Kanchi Apurva M. Hegde Walter F. Lenoir and 95 more Wenbin Liu Yuexin Liu Huihui Fan Hui Shen Visweswaran Ravikumar Arvind Rao André Schultz Xubin Li Pavel Sumazin Cecilia Williams Pieter Mestdagh Preethi H. Gunaratne Christina Yau Reanne Bowlby A. Gordon Robertson Daniel Guimarães Tiezzi Chen Wang Andrew D. Cherniack Andrew K. Godwin Nicole M. Kuderer Janet S. Rader Rosemary E. Zuna Anil K. Sood Alexander J. Lazar Akinyemi I. Ojesina Clement Adebamowo Sally N. Adebamowo Keith Baggerly Ting-Wen Chen Hua‐Sheng Chiu Steve Lefever Liang Liu Karen L. MacKenzie Sandra Oršulić Jason Roszik Carl Simon Shelley Qianqian Song Christopher P. Vellano Nicolas Wentzensen John N. Weinstein Gordon B. Mills Douglas A. Levine Rehan Akbani Rory Johnson John A. Demchok Ina Felau Melpomeni Kasapi Martin L. Ferguson Carolyn M. Hutter Heidi J. Sofia Roy Tarnuzzer Zhining Wang Liming Yang Jean C. Zenklusen Jiashan Zhang Sudha Chudamani Jia Liu Laxmi Lolla Rashi Naresh Todd Pihl Qiang Sun Yunhu Wan Ye Wu Juok Cho Timothy Defreitas Scott Frazer Nils Gehlenborg Gad Getz David I. Heiman Seungchan Kim Michael S. Lawrence Pei Lin Thomas J. Giordano Michael S. Noble Gordon Saksena Doug Voet Hailei Zhang Brady Bernard Nyasha Chambwe Varsha Dhankani Theo Knijnenburg Roger Kramer Kalle Leinonen Yuexin Liu Michael Miller Sheila M. Reynolds Ilya Shmulevich Vésteinn Thórsson Wei Zhang Rehan Akbani Bradley M. Broom Apurva M. Hegde Zhenlin Ju Rupa S. Kanchi Anil Korkut

We analyzed molecular data on 2,579 tumors from The Cancer Genome Atlas (TCGA) of four gynecological types plus breast. Our aims were to identify shared and unique features, clinically significant subtypes, potential therapeutic targets. found 61 somatic copy-number alterations (SCNAs) 46 significantly mutated genes (SMGs). Eleven SCNAs 11 SMGs had not been identified in previous TCGA studies the individual tumor types. functionally estrogen receptor-regulated long non-coding RNAs (lncRNAs)...

10.1016/j.ccell.2018.03.014 article EN cc-by-nc-nd Cancer Cell 2018-04-01

While long non-coding RNA (lncRNA) research in the past has primarily focused on discovery of novel genes, today it shifted towards functional annotation this large class genes. With thousands lncRNA studies published every year, current challenge lies keeping track which lncRNAs are functionally described. This is further complicated by fact that nomenclature not straightforward and scattered across different resources with their own quality metrics definition a lncRNA. To overcome issue,...

10.1093/nar/gky1031 article EN cc-by Nucleic Acids Research 2018-10-17

Here, we present LNCipedia (http://www.lncipedia.org), a novel database for human long non-coding RNA (lncRNA) transcripts and genes. LncRNAs constitute large diverse class of Although several lncRNAs have been functionally annotated, the majority remains to be characterized. Different high-throughput methods identify new (including sequencing annotation chromatin-state maps) applied in various studies resulting multiple unrelated lncRNA data sets. offers 21 488 annotated obtained from...

10.1093/nar/gks915 article EN cc-by-nc Nucleic Acids Research 2012-10-05

The human genome is pervasively transcribed, producing thousands of non-coding RNA transcripts. majority these transcripts are long RNAs (lncRNAs) and novel lncRNA genes being identified at rapid pace. To streamline efforts, we created LNCipedia, an online repository annotation. Here, present LNCipedia 3.0 (http://www.lncipedia.org), the latest version publicly available database. Compared to previous database grew over five times in size, gaining 90 000 new Assessment protein-coding...

10.1093/nar/gku1060 article EN cc-by-nc Nucleic Acids Research 2014-11-05

Many computational methods have been developed to infer cell type proportions from bulk transcriptomics data. However, an evaluation of the impact data transformation, pre-processing, marker selection, composition and choice methodology on deconvolution results is still lacking. Using five single-cell RNA-sequencing (scRNA-seq) datasets, we generate pseudo-bulk mixtures evaluate combined these factors. Both methodologies those that use scRNA-seq as reference perform best when applied in...

10.1038/s41467-020-19015-1 article EN cc-by Nature Communications 2020-11-06

RNA-sequencing has become the gold standard for whole-transcriptome gene expression quantification. Multiple algorithms have been developed to derive counts from sequencing reads. While a number of benchmarking studies conducted, question remains how individual methods perform at accurately quantifying levels We performed an independent study using data well established MAQCA and MAQCB reference samples. reads were processed five workflows (Tophat-HTSeq, Tophat-Cufflinks, STAR-HTSeq,...

10.1038/s41598-017-01617-3 article EN cc-by Scientific Reports 2017-05-02

MicroRNAs (miRNAs) are an emerging class of small non-coding RNAs implicated in a wide variety cellular processes. Research this field is accelerating, and the growing number miRNAs emphasizes need for high-throughput sensitive detection methods. Here we present successful evaluation Megaplex reverse transcription format stem-loop primer-based real-time quantitative polymerase chain reaction (RT-qPCR) approach to quantify miRNA expression. The provides simultaneous 450 mature miRNAs,...

10.1093/nar/gkn725 article EN cc-by-nc Nucleic Acids Research 2008-10-21

RNAcentral is a comprehensive database of non-coding RNA (ncRNA) sequences that provides single access point to 44 resources and >18 million ncRNA from wide range organisms types. now also includes secondary (2D) structure information for >13 sequences, making the world's largest 2D database. The diagrams are displayed using R2DT, new visualization method uses consistent, reproducible recognizable layouts related RNAs. sequence similarity search has been updated with faster interface...

10.1093/nar/gkaa921 article EN cc-by Nucleic Acids Research 2020-10-05

RNAcentral is a database of non-coding RNA (ncRNA) sequences that aggregates data from specialised ncRNA resources and provides single entry point for accessing all types organisms. Since its launch in 2014, has integrated twelve new resources, taking the total number collaborating to 22, began importing data, such as modified nucleotides MODOMICS PDB. We created species-specific identifiers refer unique within context species. The website been subject continuous improvements focusing on...

10.1093/nar/gkw1008 article EN cc-by Nucleic Acids Research 2016-10-18

Skeletal muscle is a heterogenous tissue comprised primarily of myofibers, commonly classified into three fiber types in humans: one "slow" (type 1) and two "fast" 2A type 2X). However, heterogeneity between within traditional remains underexplored. We applied transcriptomic proteomic workflows to 1050 1038 single myofibers from human vastus lateralis, respectively. Proteomics was conducted males, while transcriptomics included ten males females. identify metabolic, ribosomal, cell junction...

10.1038/s41467-025-56896-6 article EN cc-by-nc-nd Nature Communications 2025-02-19

Rationale: Chronic obstructive pulmonary disease (COPD) is characterized by progressive inflammation in the airways and lungs combined with disturbed homeostatic functions of cells. MicroRNAs (miRNAs) have ability to regulate these processes interfering gene transcription translation.Objectives: We aimed identify miRNA expression induced sputum examined whether miRNAs differed between patients COPD subjects without airflow limitation.Methods: Expression 627 was evaluated supernatant 32...

10.1164/rccm.201002-0304oc article EN American Journal of Respiratory and Critical Care Medicine 2010-10-30

Abstract Background Advances in high-throughput technologies and bioinformatics have transformed gene expression profiling methodologies. The results of microarray experiments are often validated using reverse transcription quantitative PCR (RT-qPCR), which is the most sensitive reproducible method to quantify expression. Appropriate normalisation RT-qPCR data stably expressed reference genes critical ensure accurate reliable results. Mi(cro)RNA profiles been shown be more disease...

10.1186/1471-2407-10-173 article EN cc-by BMC Cancer 2010-04-29

Small non-coding RNAs, in particular microRNAs(miRNAs), regulate fine-tuning of gene expression and can act as oncogenes or tumor suppressor genes. Differential miRNA has been reported to be functional relevance for biology. Using next-generation sequencing, the unbiased absolute quantification small RNA transcriptome is now feasible. Neuroblastoma(NB) an embryonal with highly variable clinical course. We analyzed transcriptomes five favorable unfavorable NBs using SOLiD generating a total...

10.1093/nar/gkq342 article EN cc-by-nc Nucleic Acids Research 2010-05-13
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