Author
Jean‐Marc Schwartz
University of ManchesterORCID 0000-0002-6472-0184Unclaimed ORCID profile · follow to get notified of new preprints
Biology Disciplines
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2018-2026 · peak 3/yrCo-Author Collaboration Network
10 top collaborators · 6 mutual co-author links13 papers
Recent·Most cited
Transcriptome-Driven Constraint-Based Modelling Reveals Metabolic Targets for Ovarian Cancer
Kate E. Meeson, Joanne C. McGrail, Jean‐Marc Schwartz, Stephen S. Taylor
This study uses transcriptome-driven constraint-based modeling to identify metabolic targets in ovarian cancer, revealing TPI1 as a potential therapeutic target supported by experimental validation.
Cancer & Metabolism · Mar 19, 2026Peer-reviewedCancer Biology
Human pluripotent stem cell model of multiple epiphyseal dysplasia with MATN3 mutation identifies altered Matrix organisation and upregulation of the cholesterol biosynthesis pathway
Woods Jon S, Nicola Bates, Stuart A. Cain, Paul A. Humphreys, Fabrizio E. Mancini, Brenda Aguero Burgos, Peter Harley, Rayed Ali A. Alqahtani, Witchayapon Kamprom, Aleksandr Mironov, Antony D. Adamson, Ian J. Donaldson, Geert R. Mortier, Kate Chandler, Anna Nicolaou, , Susan J. Kimber
This study uses hPSCs to model MED with MATN3 mutations, revealing altered matrix organisation and upregulated cholesterol biosynthesis pathway.
Osteoarthritis and Cartilage · Feb 4, 2026Peer-reviewedCell Biology
HIHISIV: a database of gene expression in HIV and SIV host immune response
Raquel L. Costa, Luiz M. R. Gadelha Jr., Mirela D’arc, Marcelo Ribeiro Alves, David L. Robertson, Jean‐Marc Schwartz, Marcelo Alves Soares, Fabio Andre Machado Porto
HIHISIV is a database that integrates and provides tools to analyze gene expression data from HIV and SIV host immune responses in humans and nonhuman primates.
BMC Bioinformatics · Mar 22, 2024Peer-reviewedBioinformatics
Development of a genome scale metabolic model for the lager hybrid yeast S. pastorianus to understand evolution of metabolic pathways in industrial settings.
Soukaina Timouma, Laura Natalia Balarezo-Cisneros, Jean‐Marc Schwartz, Daniela Delneri
The paper develops a genome-scale metabolic model for S. pastorianus to predict metabolic pathway evolution and aid industrial strain optimization.
bioRxiv · Oct 25, 2023 · PreprintSystems Biology
Constraint-based modelling predicts metabolic signatures of low- and high-grade serous ovarian cancer
Kate E. Meeson, Jean‐Marc Schwartz
This study uses constraint-based modeling to predict metabolic differences between low- and high-grade serous ovarian cancer subtypes, supported by CRISPR-Cas9 and literature data.
bioRxiv · Mar 9, 2023 · PreprintBioinformatics
SubcellulaRVis: an app to visualize subcellular compartment enrichment
Joanne Watson, Michael P. Smith, Chiara Francavilla, Jean‐Marc Schwartz
SubcellulaRVis visualizes subcellular compartment enrichment of gene lists using a eukaryotic cell diagram, improving interpretation of protein localization from enrichment analyses.
bioRxiv · Nov 18, 2021 · PreprintBioinformatics
Transcriptional network of the industrial hybrid Saccharomyces pastorianus reveals temperature-dependent allele expression bias and preferential orthologous protein assemblies
Soukaina Timouma, Laura Natalia Balarezo-Cisneros, Javier Pinto, Roberto de la Cerda, Ursula Bond, Jean‐Marc Schwartz, Daniela Delneri
Molecular Biology and Evolution · Sep 21, 2021Peer-reviewedGenomics
Using Multilayer Heterogeneous Net-works to Infer Functions of Phosphorylated Sites
Joanne Watson, Jean‐Marc Schwartz, Chiara Francavilla
The paper introduces a method to infer functions of phosphorylated sites using a heterogeneous multilayer network and validates it on phosphoproteomics data.
Journal of Proteome Research · Jun 24, 2021Peer-reviewedBioinformatics
HybridMine: pipeline for allele inheritance and gene copy number prediction in industrial yeast hybrids
Soukaina Timouma, Jean‐Marc Schwartz, Daniela Delneri
HybridMine annotates hybrid aneuploid genomes by predicting parental alleles, enabling functional analysis of complex yeast hybrids.
Microorganisms · Oct 9, 2020Peer-reviewedGenomics
Modelling the role of dual specificity phosphatases in Herceptin resistant breast cancer cell lines
Petronela Buiga, Ari Elson, Lydia Tabernero, Jean‐Marc Schwartz
The paper models how DUSP overexpression contributes to Herceptin resistance in breast cancer and identifies potential therapeutic strategies.
Computational Biology and Chemistry · Mar 25, 2019Peer-reviewedSystems Biology
Network controllability: viruses are driver agents in dynamic molecular systems
Vandana Ravindran, Jose C. Nacher, Tatsuya Akutsu, Masayuki Ishitsuka, Adrian Osadcenco, V. Sunitha, Ganesh Bagler, Jean‐Marc Schwartz, David L. Robertson
This paper applies network controllability theory to study how HIV-1 and HCV infections control host cell networks by targeting critical nodes more efficiently than uninfected states.
Scientific Reports · Feb 14, 2019Peer-reviewedSystems Biology
Using set theory to reduce redundancy in pathway sets
Ruth Stoney, Jean‐Marc Schwartz, David L. Robertson, Goran Nenadić
The paper reduces pathway redundancy using set cover, achieving significant reductions in redundancy while maintaining gene coverage.
BMC Bioinformatics · Oct 19, 2018Peer-reviewedBioinformatics