Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Eva, Hulstaert"'
Autor:
Eva Hulstaert, Keren Levanon, Annelien Morlion, Stefan Van Aelst, Anthony-Alexander Christidis, Ruben Zamar, Jasper Anckaert, Kimberly Verniers, Keren Bahar-Shany, Stav Sapoznik, Jo Vandesompele, Pieter Mestdagh
Publikováno v:
Neoplasia: An International Journal for Oncology Research, Vol 24, Iss 2, Pp 155-164 (2022)
Background: Most ovarian cancer patients are diagnosed at an advanced stage and have a high mortality rate. Current screening strategies fail to improve prognosis because markers that are sensitive for early stage disease are lacking. This medical ne
Externí odkaz:
https://doaj.org/article/1167a7ed4eff480293361fff2bcb29f0
Autor:
Mathieu Spaas, Nora Sundahl, Eva Hulstaert, Vibeke Kruse, Sylvie Rottey, Daan De Maeseneer, Veerle Surmont, Annabel Meireson, Lieve Brochez, Dries Reynders, Els Goetghebeur, Robbe Van den Begin, Dirk Van Gestel, Vincent Renard, Piet Dirix, Pieter Mestdagh, Piet Ost
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background While the introduction of checkpoint inhibitors (CPIs) as standard of care treatment for various tumor types has led to considerable improvements in clinical outcome, the majority of patients still fail to respond. Preclinical dat
Externí odkaz:
https://doaj.org/article/e63e874a32664919a1b011b24efc5c07
Autor:
Annelien Morlion, Eva Hulstaert, Marieke Vromman, Jasper Anckaert, Celine Everaert, Jo Vandesompele, Pieter Mestdagh
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Distinguishing circular RNA reads from reads derived from the linear host transcript is a challenging task because of sequence overlap. We developed a computational approach, CiLiQuant, that determines the relative circular and linear abundance of tr
Externí odkaz:
https://doaj.org/article/35276272e3f646908fd1b3e4a0342fa3
Autor:
Eva Hulstaert, Anneleen Decock, Annelien Morlion, Celine Everaert, Kimberly Verniers, Justine Nuytens, Nele Nijs, Gary P. Schroth, Scott Kuersten, Stephen M. Gross, Pieter Mestdagh, Jo Vandesompele
Publikováno v:
STAR Protocols, Vol 2, Iss 2, Pp 100475- (2021)
Summary: Comprehensive transcriptome analysis of extracellular RNA (exRNA) purified from human biofluids is challenging because of the low RNA concentration and compromised RNA integrity. Here, we describe an optimized workflow to (1) isolate exRNA f
Externí odkaz:
https://doaj.org/article/7bfd217891a641cf956cdf736c0d0699
Publikováno v:
Case Reports in Dermatology, Vol 10, Iss 2, Pp 190-197 (2018)
Objective: The incidence of immune-related adverse events is growing as the use of checkpoint inhibitors is exponentially increasing. Cutaneous adverse events are among the most frequent immune-related adverse events. The purpose of this case report
Externí odkaz:
https://doaj.org/article/6bb72df6e07f466e88559563f411a097
Autor:
Annelien Morlion, Justine Nuytens, Jo Vandesompele, Celine Everaert, Pieter Mestdagh, Eva Hulstaert
Publikováno v:
RNA Biology
article-version (VoR) Version of Record
RNA BIOLOGY
article-version (VoR) Version of Record
RNA BIOLOGY
Long non-coding RNAs (lncRNAs) are a heterogeneous group of transcripts that lack protein coding potential and display regulatory functions in various cellular processes. As a result of their cell- and cancer-specific expression patterns, lncRNAs hav
Autor:
Holger Andreas Haenssle, Julia Katharina Winkler, Christine Fink, Ferdinand Toberer, Alexander Enk, Wilhelm Stolz, Teresa Deinlein, Rainer Hofmann-Wellenhof, Harald Kittler, Philipp Tschandl, Cliff Rosendahl, Aimilios Lallas, Andreas Blum, Mohamed Souhayel Abassi, Luc Thomas, Isabelle Tromme, Albert Rosenberger, Marie Bachelerie, Sonali Bajaj, Alise Balcere, Sophie Baricault, Clément Barthaux, Yvonne Beckenbauer, Ines Bertlich, Marie-France Bouthenet, Sophie Brassat, Philipp Marcel Buck, Kristina Buder-Bakhaya, Maria-Letizia Cappelletti, Cécile Chabbert, Julie De Labarthe, Eveline DeCoster, Michèle Dobler, Daphnée Dumon, Steffen Emmert, Julie Gachon-Buffet, Mikhail Gusarov, Franziska Hartmann, Julia Hartmann, Anke Herrmann, Isabelle Hoorens, Eva Hulstaert, Raimonds Karls, Andreea Kolonte, Christian Kromer, Céline Le Blanc Vasseux, Annabelle Levy-Roy, Pawel Majenka, Marine Marc, Veronique Martin Bourret, Nadège Michelet-Brunacci, Christina Mitteldorf, Jean Paroissien, Camille Picard, Diana Plise, Valérie Reymann, Fabrice Ribeaudeau, Pauline Richez, Hélène Roche Plaine, Deborah Salik, Elke Sattler, Sarah Schäfer, Roland Schneiderbauer, Thierry Secchi, Karen Talour, Lukas Trennheuser, Alexander Wald, Priscila Wölbing, Pascale Zukervar
Publikováno v:
European Journal of Cancer. 144:192-199
The clinical differentiation of face and scalp lesions (FSLs) is challenging even for trained dermatologists. Studies comparing the diagnostic performance of a convolutional neural network (CNN) with dermatologists in FSL are lacking.A market-approve
Publikováno v:
GYNECOLOGIC ONCOLOGY
Ovarian cancer is often diagnosed in an advanced stage and is associated with a high mortality rate. It is assumed that early detection of ovarian cancer could improve patient outcomes. Unfortunately, effective screening methods for early diagnosis o
Autor:
Eva Hulstaert, Philippe Decruyenaere, Hilde Lapeere, Johan Decruyenaere, Hans Van Vlierberghe, Beatrice Van de Maele
Publikováno v:
Acta Clinica Belgica. 77:396-399
Anisakiasis is an emerging zoonosis caused by the fish parasitic nematode Anisakis infecting the gastrointestinal tract.We describe a case of a 58-year-old woman diagnosed with gastro-allergic anisakiasis, in which the patient developed an acute food
Autor:
Jasper Anckaert, Eva Hulstaert, Celine Everaert, Pieter Mestdagh, Annelien Morlion, Jo Vandesompele
Distinguishing circular RNA (circRNA) reads from reads derived from the linear host transcript is a challenging task because of sequence overlap. We developed a computational approach, CiLiQuant, that determines the relative circular and linear abund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f62d07074e8f34c8f165976b90311db1
https://doi.org/10.20944/preprints202109.0183.v1
https://doi.org/10.20944/preprints202109.0183.v1