Seurinck, Ruth

A scalable SCENIC workflow for single-cell gene regulatory network analysis

Van de Sande, B., Flerin, C., Davie, K., De Waegeneer, M., Hulselmans, G., Aibar, S., Seurinck, R., Saelens, W., Cannoodt, R., Rouchon, Q., et al. (2020) · Nature Protocols

Single-cell and spatial transcriptomicsGene Regulatory Network Analysis

Cited by 1,494

Osteopontin Expression Identifies a Subset of Recruited Macrophages Distinct from Kupffer Cells in the Fatty Liver

Remmerie, A., Martens, L., Thoné, T., Castoldi, A., Seurinck, R., Pavie, B., Roels, J., Vanneste, B., De Prijck, S., Vanhockerhout, M., et al. (2020) · Immunity

Liver Disease Diagnosis and TreatmentLiver physiology and pathology

Cited by 592

A TCF4-dependent gene regulatory network confers resistance to immunotherapy in melanoma

Pozniak, J., Pedri, D., Landeloos, E., Van Herck, Y., Antoranz, A., Vanwynsberghe, L., Nowosad, A., Roda, N., Makhzami, S., Bervoets, G., et al. (2024) · Cell

Cancer Immunotherapy and BiomarkersMelanoma and MAPK Pathways

Cited by 199

Targeting ferroptosis protects against experimental (multi)organ dysfunction and death

Van Coillie, S., Van San, E., Goetschalckx, I., Wiernicki, B., Mukhopadhyay, B., Tonnus, W., Choi, S. M., Roelandt, R., Dumitrascu, C., Lamberts, L., et al. (2022) · Nature Communications

Ferroptosis and cancer prognosisIron Metabolism and Disorders

Cited by 186

Targeting ferroptosis protects against multiorgan dysfunction and death.

VandenBerghe, T., Coillie, S. V., Goetschalckx, I., Wiernicki, B., Mukhopadhyay, B., Tonnus, W., San, E. V., Choi, S. M., Roelandt, R., Dumitrascu, C., et al. (2021) · Nature Communications

Ferroptosis and cancer prognosisIron Metabolism and Disorders

Cited by 186

Assessing robustness against potential publication bias in activation likelihood estimation (ALE) meta-analyses for fMRI

Acar, F., Seurinck, R., Eickhoff, S. B., & Moerkerke, B. (2018) · PLOS ONE

Meta-analysis and systematic reviewsFunctional Brain Connectivity Studies

Cited by 154

Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq

Mylka, V., Matetovici, I., Poovathingal, S., Aerts, J., Vandamme, N., Seurinck, R., Verstaen, K., Hulselmans, G., Van den Hoecke, S., Scheyltjens, I., et al. (2022) · Genome Biology

Single-cell and spatial transcriptomicsGenomics and Phylogenetic Studies

Cited by 53