Author

Terezinha Maria de Souza

Genmab (Netherlands)ORCID 0000-0002-9580-3310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1

Frequent Co-Authors

Indu KhatriiD· 2 shared Iris C. R. M. KolderiD· 2 shared Saskia D. van AsteniD· 2 shared Anna DahlmaniD· 1 shared Anna WojtuszkiewicziD· 1 shared Attila CsalaiD· 1 shared Brandon W. HiggsiD· 1 shared Claudette L. FulleriD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersImmunology

Indu KhatriORCID

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Author profile →

3 papers

Recent·Most cited

Integrative immune subtyping of HNSCC reveals clinically relevant phenotypes and treatment-associated transitions

Indu Khatri, Terezinha Maria de Souza, Saskia D. van Asten, Merzu Kebede Belete, Felipe A. Vieira Braga, Merel Jongmans, Sriram Sridhar, Brandon W. Higgs, Iris C. R. M. Kolder

This study identifies four immune subtype clusters in HNSCC using multi-omics data and shows their association with treatment response and survival.

npj Precision Oncology · Apr 23, 2026Peer-reviewedImmunology

A Cross-Study Multi-Organ Cell Atlas ofMacaca fascicularis Informed by Human Foundation Model Annotation: A Resource for Translational Target Assessment

Terezinha Maria de Souza, Joshua T. Gamse, Leandro F. Moreno, Marilijn van Rumpt, Gonzalo Nuñez-Moreno, Indu Khatri, Saskia D. van Asten, Nichal V. Khusial, Empar Baltasar Pérez, Ragini Adhav, Tamim Abdelaal, Anna Wojtuszkiewicz, Jorg J. A. Calis, Attila Csala, Anna Dahlman, , Iris C. R. M. Kolder

This paper creates a cross-species single-cell atlas of Macaca fascicularis using human reference labels to improve target qualification and toxicity interpretation in preclinical research.

bioRxiv · Mar 19, 2026 · PreprintBioinformatics

Contextualization of causal regulatory networks from toxicogenomics data applied to drug-induced liver injury

Panuwat Trairatphisan, Terezinha Maria de Souza, Jos C. S. Kleinjans, Danyel G. J. Jennen, Julio Sáez-Rodríguez

The paper applies a causal network tool to toxicogenomics data to infer regulatory networks in drug-induced liver injury, identifying conserved pathways between rat and human models.

Toxicology Letters · Jul 3, 2021Peer-reviewedSystems Biology