Publications by authors named "Theodore Sakellaropoulos"

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Persistent chromatin alterations and gene expression reprogramming follow widespread DNA damage in glioblastoma.
Aram S Modrek, Ken Chandradoss, Catherine Do, Ravesanker Ezhilarasan, Theodore Sakellaropoulos

bioRxiv· June 2025

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Binding domain mutations provide insight into CTCF's relationship with chromatin and its contribution to gene regulation.
Catherine Do, Guimei Jiang, Giulia Cova, Christos C Katsifis, Domenic N Narducci, Theodore Sakellaropoulos

Cell Genom· April 2025

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Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.
Bojing Liu, Meaghan Polack, Nicolas Coudray, Adalberto Claudio Quiros, Theodore Sakellaropoulos

Nat Commun· March 2025

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Binding domain mutations provide insight into CTCF's relationship with chromatin and its contribution to gene regulation.
Catherine Do, Guimei Jiang, Giulia Cova, Christos C Katsifis, Domenic N Narducci, Theodore Sakellaropoulos

bioRxiv· February 2025

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The stress response regulator HSF1 modulates natural killer cell anti-tumour immunity.
Kathryn Hockemeyer, Theodore Sakellaropoulos, Xufeng Chen, Olha Ivashkiv, Maria Sirenko

Nat Cell Biol· October 2024

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MethNet: a robust approach to identify regulatory hubs and their distal targets from cancer data.
Theodore Sakellaropoulos, Catherine Do, Guimei Jiang, Giulia Cova, Peter Meyn

Nat Commun· July 2024

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Brain and cancer associated binding domain mutations provide insight into CTCF's relationship with chromatin and its ability to act as a chromatin organizer.
Catherine Do, Guimei Jiang, Giulia Cova, Christos C Katsifis, Domenic N Narducci, Theodore Sakellaropoulos

Res Sq· July 2024

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Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer.
Bojing Liu, Meaghan Polack, Nicolas Coudray, Adalberto Claudio Quiros, Theodore Sakellaropoulos

bioRxiv· March 2024

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Inflammation in the tumor-adjacent lung as a predictor of clinical outcome in lung adenocarcinoma.
Igor Dolgalev, Hua Zhou, Nina Murrell, Hortense Le, Theodore Sakellaropoulos

Nat Commun· November 2023

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Cell-type-specific prediction of 3D chromatin organization enables high-throughput in silico genetic screening.
Jimin Tan, Nina Shenker-Tauris, Javier Rodriguez-Hernaez, Eric Wang, Theodore Sakellaropoulos

Nat Biotechnol· August 2023

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MethNet: a robust approach to identify regulatory hubs and their distal targets in cancer.
Theodore Sakellaropoulos, Catherine Do, Guimei Jiang, Giulia Cova, Peter Meyn

Res Sq· July 2023

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Lysophosphatidic Acid Is a Proinflammatory Stimulus of Renal Tubular Epithelial Cells.
Christiana Magkrioti, Georgia Antonopoulou, Dionysios Fanidis, Vaia Pliaka, Theodore Sakellaropoulos

Int J Mol Sci· July 2022

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Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas.
Randie H Kim, Sofia Nomikou, Nicolas Coudray, George Jour, Zarmeena Dawood, Theodore Sakellaropoulos

J Invest Dermatol· June 2022

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Prediction of combination therapies based on topological modeling of the immune signaling network in multiple sclerosis.
Marti Bernardo-Faura, Melanie Rinas, Jakob Wirbel, Inna Pertsovskaya, Vicky Pliaka, Theodore Sakellaropoulos

Genome Med· July 2021

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H3K27ac bookmarking promotes rapid post-mitotic activation of the pluripotent stem cell program without impacting 3D chromatin reorganization.
Bobbie Pelham-Webb, Alexander Polyzos, Luke Wojenski, Andreas Kloetgen, Jiexi Li, Theodore Sakellaropoulos

Mol Cell· April 2021

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Non-lethal proteasome inhibition activates pro-tumorigenic pathways in multiple myeloma cells.
Aikaterini Skorda, Aimilia D Sklirou, Theodore Sakellaropoulos, Despoina D Gianniou, Efstathios Kastritis

J Cell Mol Med· December 2019

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A Deep Learning Framework for Predicting Response to Therapy in Cancer.
Theodore Sakellaropoulos, Konstantinos Vougas, Sonali Narang, Filippos Koinis, Athanassios Kotsinas

Cell Rep· December 2019

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Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining.
Konstantinos Vougas, Theodore Sakellaropoulos, Athanassios Kotsinas, George-Romanos P Foukas, Andreas Ntargaras

Pharmacol Ther· November 2019

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EpiMethylTag: simultaneous detection of ATAC-seq or ChIP-seq signals with DNA methylation.
Priscillia Lhoumaud, Gunjan Sethia, Franco Izzo, Theodore Sakellaropoulos, Valentina Snetkova

Genome Biol· November 2019

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NSD2 overexpression drives clustered chromatin and transcriptional changes in a subset of insulated domains.
Priscillia Lhoumaud, Sana Badri, Javier Rodriguez-Hernaez, Theodore Sakellaropoulos, Gunjan Sethia

Nat Commun· October 2019

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Phosphoprotein patterns predict trametinib responsiveness and optimal trametinib sensitisation strategies in melanoma.
Jan Rožanc, Theodore Sakellaropoulos, Asier Antoranz, Cristiano Guttà, Biswajit Podder

Cell Death Differ· August 2019

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A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine.
Ioannis N Melas, Theodore Sakellaropoulos, Junguk Hur, Dimitris Messinis, Ellen Y Guo

Methods Mol Biol· July 2019

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Targeting Mitochondrial Structure Sensitizes Acute Myeloid Leukemia to Venetoclax Treatment.
Xufeng Chen, Christina Glytsou, Hua Zhou, Sonali Narang, Denis E Reyna, Theodore Sakellaropoulos

Cancer Discov· July 2019

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MAPK pathway and B cells overactivation in multiple sclerosis revealed by phosphoproteomics and genomic analysis.
Ekaterina Kotelnikova, Narsis A Kiani, Dimitris Messinis, Inna Pertsovskaya, Vicky Pliaka, Theodore Sakellaropoulos

Proc Natl Acad Sci U S A· May 2019

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Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning.
Nicolas Coudray, Paolo Santiago Ocampo, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl

Nat Med· October 2018

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