Google Scholar Stats
Citations: 1319
H-Index: 18
i10-index: 28
For most recent google scholar data, click here.
2021
Hees, Stijn Van; Cuypers, Bart; Bourgeois, Stefan; Groothuismink, Zwier M A; Meysman, Pieter; der Vlies, Pieter Van; de Knegt, Rob; Vonghia, Luisa; Michielsen, Peter; Francque, Sven; Laukens, Kris; Boonstra, Andre; Vanwolleghem, Thomas
Sorted B cell transcriptomes point towards actively regulated B cell responses during ongoing chronic hepatitis B infections Journal Article
In: Cellular Immunology, vol. 362, pp. 104283, 2021, ISSN: 0008-8749.
@article{VANHEES2021104283,
title = {Sorted B cell transcriptomes point towards actively regulated B cell responses during ongoing chronic hepatitis B infections},
author = {Stijn Van Hees and Bart Cuypers and Stefan Bourgeois and Zwier M A Groothuismink and Pieter Meysman and Pieter Van der Vlies and Rob de Knegt and Luisa Vonghia and Peter Michielsen and Sven Francque and Kris Laukens and Andre Boonstra and Thomas Vanwolleghem},
url = {https://www.sciencedirect.com/science/article/pii/S0008874921000022},
doi = {https://doi.org/10.1016/j.cellimm.2021.104283},
issn = {0008-8749},
year = {2021},
date = {2021-01-01},
journal = {Cellular Immunology},
volume = {362},
pages = {104283},
abstract = {The natural course of chronic hepatitis B virus (HBV) infections follows distinct clinical disease phases, characterized by fluctuating levels of serum HBV DNA and ALT. The immune cells and their features that govern these clinical disease transitions remain unknown. In the current study, we performed RNA sequencing on purified B cells from blood (n = 42) and liver (n = 10) of healthy controls and chronic HBV patients. We found distinct gene expression profiles between healthy controls and chronic HBV patients, as evidenced by 190 differentially expressed genes (DEG), but also between the clinical phenotypes of a chronic HBV infection (17\textendash110 DEG between each phase). Numerous immune pathways, including the B cell receptor pathway were upregulated in liver B cells when compared to peripheral B cells. Further investigation of the detected DEG suggested an activation of B cells during HBeAg seroconversion and an active regulation of B cell signalling in the liver.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2018
Neuter, Nicolas De; Bittremieux, Wout; Beirnaert, Charlie; Cuypers, Bart; Mrzic, Aida; Moris, Pieter; Suls, Arvid; Tendeloo, Viggo Van; Ogunjimi, Benson; Laukens, Kris; Meysman, Pieter
On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognition Journal Article
In: Immunogenetics, vol. 70, no. 3, pp. 159-168, 2018, ISSN: 1432-1211.
@article{DeNeuter2018,
title = {On the feasibility of mining CD8+ T cell receptor patterns underlying immunogenic peptide recognition},
author = {Nicolas De Neuter and Wout Bittremieux and Charlie Beirnaert and Bart Cuypers and Aida Mrzic and Pieter Moris and Arvid Suls and Viggo Van Tendeloo and Benson Ogunjimi and Kris Laukens and Pieter Meysman},
url = {https://doi.org/10.1007/s00251-017-1023-5},
doi = {10.1007/s00251-017-1023-5},
issn = {1432-1211},
year = {2018},
date = {2018-03-01},
journal = {Immunogenetics},
volume = {70},
number = {3},
pages = {159-168},
abstract = {Current T cell epitope prediction tools are a valuable resource in designing targeted immunogenicity experiments. They typically focus on, and are able to, accurately predict peptide binding and presentation by major histocompatibility complex (MHC) molecules on the surface of antigen-presenting cells. However, recognition of the peptide-MHC complex by a T cell receptor (TCR) is often not included in these tools. We developed a classification approach based on random forest classifiers to predict recognition of a peptide by a T cell receptor and discover patterns that contribute to recognition. We considered two approaches to solve this problem: (1) distinguishing between two sets of TCRs that each bind to a known peptide and (2) retrieving TCRs that bind to a given peptide from a large pool of TCRs. Evaluation of the models on two HIV-1, B*08-restricted epitopes reveals good performance and hints towards structural CDR3 features that can determine peptide immunogenicity. These results are of particular importance as they show that prediction of T cell epitope and T cell epitope recognition based on sequence data is a feasible approach. In addition, the validity of our models not only serves as a proof of concept for the prediction of immunogenic T cell epitopes but also paves the way for more general and high-performing models.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2015
Gryseels, Sophie; Rieger, Toni; Oestereich, Lisa; Cuypers, Bart; Borremans, Benny; Makundi, Rhodes; Leirs, Herwig; Günther, Stephan; de Bellocq], Joëlle [Goüy
In: Virology, vol. 476, pp. 249 - 256, 2015, ISSN: 0042-6822.
@article{GRYSEELS2015249,
title = {Gairo virus, a novel arenavirus of the widespread Mastomys natalensis: Genetically divergent, but ecologically similar to Lassa and Morogoro viruses},
author = {Sophie Gryseels and Toni Rieger and Lisa Oestereich and Bart Cuypers and Benny Borremans and Rhodes Makundi and Herwig Leirs and Stephan G\"{u}nther and Jo\"{e}lle [Go\"{u}y de Bellocq]},
url = {http://www.sciencedirect.com/science/article/pii/S0042682214005480},
doi = {https://doi.org/10.1016/j.virol.2014.12.011},
issn = {0042-6822},
year = {2015},
date = {2015-01-01},
journal = {Virology},
volume = {476},
pages = {249 - 256},
abstract = {Despite its near pan-African range, the Natal multimammate mouse, Mastomys natalensis, carries the human pathogen Lassa virus only in West Africa, while the seemingly non-pathogenic arenaviruses Mopeia, Morogoro, and Luna have been detected in this semi-commensal rodent in Mozambique/Zimbabwe, Tanzania and Zambia, respectively. Here, we describe a novel arenavirus in M. natalensis from Gairo district of central Tanzania, for which we propose the name “Gairo virus”. Surprisingly, the virus is not closely related with Morogoro virus that infects M. natalensis only 90km south of Gairo, but clusters phylogenetically with Mobala-like viruses that infect non-M. natalensis host species in Central African Republic and Ethiopia. Despite the evolutionary distance, Gairo virus shares basic ecological features with the other M. natalensis-borne viruses Lassa and Morogoro. Our data show that M. natalensis, carrying distantly related viruses even in the same geographical area, is a potent reservoir host for a variety of arenaviruses.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}