M
Mark A.J. Gorris
Researcher at Radboud University Nijmegen
Publications - 46
Citations - 1416
Mark A.J. Gorris is an academic researcher from Radboud University Nijmegen. The author has contributed to research in topics: Medicine & Immune system. The author has an hindex of 12, co-authored 28 publications receiving 919 citations. Previous affiliations of Mark A.J. Gorris include Radboud University Nijmegen Medical Centre & Salk Institute for Biological Studies.
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Journal ArticleDOI
Neuronal medium that supports basic synaptic functions and activity of human neurons in vitro.
Cedric Bardy,Mark van den Hurk,Mark van den Hurk,Tameji Eames,Cynthia Marchand,Cynthia Marchand,Ruben V. Hernandez,Mariko Kellogg,Mark A.J. Gorris,Ben Galet,Vanessa Palomares,Joshua Brown,Anne G. Bang,Jerome Mertens,Lena Böhnke,Leah Boyer,Suzanne Simon,Fred H. Gage +17 more
TL;DR: A new neuronal medium is designed and tested in which the concentrations of inorganic salts, neuroactive amino acids, and energetic substrates are adjusted in which this medium adequately supports neuronal activity and survival of human neurons in culture.
Journal ArticleDOI
Migrating into the Tumor: a Roadmap for T Cells.
Lieke L. van der Woude,Mark A.J. Gorris,Altuna Halilovic,Carl G. Figdor,I. Jolanda M. de Vries +4 more
TL;DR: In this article, the authors discuss variables that influence T cell migration into the tumor microenvironment, including chemokines, intrinsic pathways, and tumor-induced vasculature, which can hamper T-cell migration.
Journal ArticleDOI
Eight-Color Multiplex Immunohistochemistry for Simultaneous Detection of Multiple Immune Checkpoint Molecules within the Tumor Microenvironment
Mark A.J. Gorris,Altuna Halilovic,Katrin Rabold,Anne van Duffelen,Iresha N. Wickramasinghe,Dagmar Verweij,Inge M. N. Wortel,Johannes Textor,I. Jolanda M. de Vries,Carl G. Figdor +9 more
TL;DR: An eight-color multiplex immunohistochemistry panel, consisting of PD-1, PD-L1, OX40, CD27, TIM3, CD3, a tumor marker, and DAPI is reported on, which allows for simultaneous quantification of five different immune checkpoint molecules on individual cells within different tumor types.
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Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology.
Cedric Bardy,Cedric Bardy,M van den Hurk,M van den Hurk,Boyko Kakaradov,Jennifer A. Erwin,Baptiste N. Jaeger,Ruben V. Hernandez,Tameji Eames,A A Paucar,Mark A.J. Gorris,Cynthia Marchand,Roberto Jappelli,Jerika J. Barron,A K Bryant,Mariko Kellogg,Roger S. Lasken,Bart P. F. Rutten,Harry W.M. Steinbusch,Gene W. Yeo,Gene W. Yeo,Gene W. Yeo,Fred H. Gage +22 more
TL;DR: A multimodal machine-learning strategy is demonstrated to identify new molecular features that predict the physiological states of single neurons, independently of the time spent in vitro, to define a continuum of poor to highly functional electrophysiological states of differentiated neurons.
Journal ArticleDOI
Generation of functional human serotonergic neurons from fibroblasts
Krishna C. Vadodaria,Jerome Mertens,Apuã C. M. Paquola,Cedric Bardy,Xue-Jun Li,Xue-Jun Li,Roberto Jappelli,L. Fung,L. Fung,Maria C. Marchetto,Michael Hamm,Mark A.J. Gorris,Philipp Koch,Fred H. Gage +13 more
TL;DR: The efficient generation of functional human serotonergic neurons from human fibroblasts is demonstrated as a novel tool for studying human Serotonergic neurotransmission in health and disease.