Saeys, Yvan
Ghent University · VIB-UGent Center for Inflammation Research
24 papers on CoChatORCID 0000-0002-0415-1506
Most cited papers
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NicheNet: Modeling intercellular communication by linking ligands to target genes
Browaeys, R., Saelens, W., & Saeys, Y. (2020) · Nature Methods
Gene Regulatory Network AnalysisBioinformatics and Genomic Networks
Cited by 2,192
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A comparison of single-cell trajectory inference methods
Saelens, W., Cannoodt, R., Todorov, H., & Saeys, Y. (2019) · Nature Biotechnology
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 1,670
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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
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A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment
Van Hove, H., Martens, L., Scheyltjens, I., De Vlaminck, K., Pombo Antunes, A. R., De Prijck, S., Vandamme, N., De Schepper, S., Van Isterdael, G., Scott, C. L., et al. (2019) · Nature Neuroscience
Neuroinflammation and Neurodegeneration MechanismsSingle-cell and spatial transcriptomics
Cited by 1,074
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Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches
Guilliams, M., Bonnardel, J., Haest, B., Vanderborght, B., Wagner, C., Remmerie, A., Bujko, A., Martens, L., Thoné, T., Browaeys, R., et al. (2022) · Cell
Single-cell and spatial transcriptomicsLiver physiology and pathology
Cited by 985
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Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells
Scott, C. L., Zheng, F., De Baetselier, P., Martens, L., Saeys, Y., De Prijck, S., Lippens, S., Abels, C., Schoonooghe, S., Raes, G., et al. (2016) · Nature Communications
Liver physiology and pathologyImmune cells in cancer
Cited by 860
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Single-cell profiling of myeloid cells in glioblastoma across species and disease stage reveals macrophage competition and specialization
Pombo Antunes, A. R., Scheyltjens, I., Lodi, F., Messiaen, J., Antoranz, A., Duerinck, J., Kancheva, D., Martens, L., De Vlaminck, K., Van Hove, H., et al. (2021) · Nature Neuroscience
Immune cells in cancerGlioma Diagnosis and Treatment
Cited by 704
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Stellate Cells, Hepatocytes, and Endothelial Cells Imprint the Kupffer Cell Identity on Monocytes Colonizing the Liver Macrophage Niche
Bonnardel, J., T’Jonck, W., Gaublomme, D., Browaeys, R., Scott, C. L., Martens, L., Vanneste, B., De Prijck, S., Nedospasov, S. A., Kremer, A., et al. (2019) · Immunity
Liver physiology and pathologyImmune cells in cancer
Cited by 631
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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
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Monocyte-driven atypical cytokine storm and aberrant neutrophil activation as key mediators of COVID-19 disease severity
Vanderbeke, L., Van Mol, P., Van Herck, Y., De Smet, F., Humblet-Baron, S., Martinod, K., Antoranz, A., Arijs, I., Boeckx, B., Bosisio, F. M., et al. (2021) · Nature Communications
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 247
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The unfolded-protein-response sensor IRE-1α regulates the function of CD8α+ dendritic cells
Osorio, F., Tavernier, S. J., Hoffmann, E., Saeys, Y., Martens, L., Vetters, J., Delrue, I., De Rycke, R., Parthoens, E., Pouliot, P., et al. (2014) · Nature Immunology
Endoplasmic Reticulum Stress and DiseaseImmunotherapy and Immune Responses
Cited by 235
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CytoNorm: A Normalization Algorithm for Cytometry Data
Van Gassen, S., Gaudilliere, B., Angst, M. S., Saeys, Y., & Aghaeepour, N. (2020) · Cytometry Part A
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 234
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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
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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
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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
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Nlrp6- and ASC-Dependent Inflammasomes Do Not Shape the Commensal Gut Microbiota Composition
Mamantopoulos, M., Ronchi, F., Van Hauwermeiren, F., Vieira-Silva, S., Yilmaz, B., Martens, L., Saeys, Y., Drexler, S. K., Yazdi, A. S., Raes, J., et al. (2017) · Immunity
Gut microbiota and healthInflammasome and immune disorders
Cited by 181
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The RNA Atlas expands the catalog of human non-coding RNAs
Lorenzi, L., Chiu, H.-S., Avila Cobos, F., Gross, S., Volders, P.-J., Cannoodt, R., Nuytens, J., Vanderheyden, K., Anckaert, J., Lefever, S., et al. (2021) · Nature Biotechnology
Cancer-related molecular mechanisms researchRNA Research and Splicing
Cited by 163
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An evolutionary perspective on the necroptotic pathway
Dondelinger, Y., Hulpiau, P., Saeys, Y., Bertrand, M. J. M., & Vandenabeele, P. (2016) · Trends in Cell Biology
Cell death mechanisms and regulationImmune Response and Inflammation
Cited by 159
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Myeloid cell heterogeneity in cancer: not a single cell alike
Kiss, M., Van Gassen, S., Movahedi, K., Saeys, Y., & Laoui, D. (2018) · Cellular Immunology
Immune cells in cancerImmunotherapy and Immune Responses
Cited by 159
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Spearheading future omics analyses using dyngen, a multi-modal simulator of single cells
Cannoodt, R., Saelens, W., Deconinck, L., & Saeys, Y. (2021) · Nature Communications
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 124
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dyngen: a multi-modal simulator for spearheading new single-cell omics analyses
Cannoodt, R., Saelens, W., Deconinck, L., & Saeys, Y. (2020) · Nature Communications
Single-cell and spatial transcriptomicsGene Regulatory Network Analysis
Cited by 124
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Deterministic scRNA-seq captures variation in intestinal crypt and organoid composition
Bues, J., Biočanin, M., Pezoldt, J., Dainese, R., Chrisnandy, A., Rezakhani, S., Saelens, W., Gardeux, V., Gupta, R., Sarkis, R., et al. (2022) · Nature Methods
Single-cell and spatial transcriptomicsInnovative Microfluidic and Catalytic Techniques Innovation
Cited by 71
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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
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Essential guidelines for computational method benchmarking
Weber, L. M., Saelens, W., Cannoodt, R., Soneson, C., Hapfelmeier, A., Gardner, P. P., Boulesteix, A.-L., Saeys, Y., & Robinson, M. D. (2019) · Genome Biology
Scientific Computing and Data ManagementGenomics and Phylogenetic Studies
Cited by 21
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