CD161 Defines a Functionally Distinct Subset of Pro-Inflammatory Natural Killer Cells

Autor: Ayako Kurioka, Cormac Cosgrove, Yannick Simoni, Bonnie van Wilgenburg, Alessandra Geremia, Sophia Björkander, Eva Sverremark-Ekström, Christine Thurnheer, Huldrych F. Günthard, Nina Khanna, The Swiss HIV Cohort Study, Oxford IBD Cohort Investigators, Lucy Jane Walker, Carolina V. Arancibia-Cárcamo, Evan W. Newell, Christian B. Willberg, Paul Klenerman, V Aubert, M Battegay, E Bernasconi, J Böni, DL Braun, HC Bucher, C Burton-Jeangros, A Calmy, M Cavassini, G Dollenmaier, M Egger, L Elzi, J Fehr, J Fellay, H Furrer, CA Fux, M Gorgievski, H Günthard, D Haerry, B Hasse, HH Hirsch, M Hoffmann, I Hösli, C Kahlert, L Kaiser, O Keiser, T Klimkait, R Kouyos, H Kovari, B Ledergerber, G Martinetti, B Martinez de Tejada, C Marzolini, K Metzner, N Müller, D Nadal, D Nicca, G Pantaleo, A Rauch, S Regenass, C Rudin, A Scherrer, P Schmid, R Speck, M Stöckle, P Tarr, A Trkola, P Vernazza, R Weber, S Yerly, CV Arancibia-Cárcamo, A Bailey, E Barnes, B Bird-Lieberman, O Brain, B Braden, J Collier, J East, A Geremia, L Howarth, S Keshav, P Klenerman, S Leedham, R Palmer, F Powrie, A Rodrigues, A Simmons, P Sullivan, SPL Travis, H Uhlig

Publikováno v: Frontiers in Immunology, Vol 9 (2018)

CD161 is a C-type lectin-like receptor expressed on the majority of natural killer (NK) cells; however, the significance of CD161 expression on NK cells has not been comprehensively investigated. Recently, we found that CD161 expression identifies a

Externí odkaz: https://doaj.org/article/bee5ae2e92974efa8bf3cec10af3c162

147P Blind validation of an AI-based tool for predicting distant relapse from breast cancer HES stained slides

Autor: I.J. Garberis, V. Gaury, V. Aubert, D. Drubay, C. Saillard, K. Elgui, null F. Bernigole, A. Jacquet, F. André, M. Lacroix-Triki

Publikováno v: Annals of Oncology. 33:S607

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::505109d146ce3225eec2350da5b26dea
https://doi.org/10.1016/j.annonc.2022.07.182

1124O Prediction of distant relapse in patients with invasive breast cancer from deep learning models applied to digital pathology slides

Autor: M. Sapateiro, Charlie Saillard, Ingrid Garberis, Magali Lacroix-Triki, A. de Lavergne, Benoit Schmauch, V. Aubert, Aurélie Kamoun, A. Jaeger, Fabrice Andre, Damien Drubay, Pierre Courtiol

Publikováno v: Annals of Oncology. 32:S921

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4dafd86c32664b19e231a7e1c760fb7a
https://doi.org/10.1016/j.annonc.2021.08.766

Evaluation of an Intrathecal Immune Response in Amyotrophic Lateral Sclerosis Patients Implanted with Encapsulated Genetically Engineered Xenogeneic Cells

Autor: A. D. Zurn, H. Henry, M. Schluep, V. Aubert, L. Winkel, B. Eilers, C. Bachmann, P. Aebischer

Publikováno v: Cell Transplantation, Vol 9 (2000)

A phase I/II clinical trial has been performed in 12 amyotrophic lateral sclerosis (ALS) patients to evaluate the safety and tolerability of intrathecal implants of encapsulated genetically engineered baby hamster kidney (BHK) cells releasing human c

Externí odkaz: https://doaj.org/article/9f5ab0ea9d62420b9923a7210143ac85

Mining for pairs: shared clinic visit dates identify steady HIV-positive partnerships

Autor: A, Marzel, M, Shilaih, T, Turk, N K, Campbell, W-L, Yang, J, Böni, S, Yerly, T, Klimkait, V, Aubert, H, Furrer, A, Calmy, M, Battegay, M, Cavassini, E, Bernasconi, P, Schmid, K J, Metzner, H F, Günthard, R D, Kouyos

Publikováno v: HIV Medicine, Vol. 18, No 9 (2017) pp. 667-676

OBJECTIVES Here we examined the hypothesis that some stable HIV-infected partnerships can be found in cohort studies, as the patients frequently attend the clinic visits together. METHODS Using mathematical approximations and shuffling to derive the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab8ff3285e7346b7b59deed08d81e16
https://archive-ouverte.unige.ch/unige:99802