Author

Marco Trevisán-Herraz

Newcastle UniversityORCID 0000-0002-7129-0602Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:statistical model· 5 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Organism:human· 3 Organism:mouse· 3 Assay:ChIP-seq· 2 Assay:proteomics· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

Daniel RicoiD· 3 shared Aneta MikulášováiD· 2 shared Chris A. BrackleyiD· 2 shared Elena Bonzón‐KulichenkoiD· 2 shared Jesús VázqueziD· 2 shared Lisa Jane RusselliD· 2 shared Agata CieślakiD· 1 shared Ana Latorre-PelliceriD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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3 shared papersGenomics

Daniel RicoORCID

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Author profile →

5 papers

Recent·Most cited

Evolutionary analysis of gene ages across TADs associates chromatin topology with whole genome duplications

Caelinn James, Marco Trevisán-Herraz, David Juan, Daniel Rico

The paper analyzes gene age co-localization within TADs and finds that whole genome duplications mark a transition in gene age patterns and their association with TAD insulation and essentiality.

Cell Reports · Mar 21, 2024Peer-reviewedGenomics

The discovery of an evolutionarily conserved enhancer within the MYEOV locus suggests an unexpected role for this non-coding region in cancer

Brigid S. A. Davidson, Juliana Estefania Arcila-Galvis, Marco Trevisán-Herraz, Aneta Mikulášová, Chris A. Brackley, Lisa Jane Russell, Daniel Rico

The paper identifies an evolutionarily conserved enhancer within the MYEOV locus that regulates CCND1 in humans and mice, suggesting a non-coding role in cancer.

bioRxiv · Sep 18, 2023 · PreprintGenomics

Epigenomic translocation of H3K4me3 broad domains over oncogenes following hijacking of super-enhancers

Aneta Mikulášová, Daniel Kent, Marco Trevisán-Herraz, Nefeli Karataraki, Kent T.M. Fung, Cody Ashby, Agata Cieślak, Shmuel Yaccoby, Frits van Rhee, Maurizio Zangari, Sharmilan Thanendrarajan, Carolina Schinke, Gareth John Morgan, Vahid Asnafi, Salvatore Spicuglia, , Lisa Jane Russell

The paper identifies H3K4me3 broad domains formed by super-enhancer translocations in B-cell and T-cell malignancies, linking them to oncogene activation.

Genome Research · Jul 1, 2022Peer-reviewedGenomics

Comprehensive quantification of the modified proteome reveals oxidative heart damage in mitochondrial heteroplasmy

Navratan Bagwan, Elena Bonzón‐Kulichenko, Enrique Calvo, Ana Victoria Lechuga‐Vieco, Spiros Michalakopoulos, Marco Trevisán-Herraz, Iakes Ezkurdia, José Manuel Rodrı́guez, Ricardo Magni, Ana Latorre-Pellicer, José Antonio Enrı́quez, Jesús Vázquez

The paper develops algorithms to comprehensively identify and quantify protein modifications, revealing oxidative damage in heart mitochondria due to mtDNA heteroplasmy.

Cell Reports · Jun 1, 2018Peer-reviewedBioinformatics

QuiXoT: quantification and statistics of high-throughput proteomics by stable isotope labelling

Marco Trevisán-Herraz, Inmaculada Jorge, Elena Bonzón‐Kulichenko, Pedro Navarro, Jesús Vázquez

QuiXoT provides a robust statistical framework for quantifying and analyzing high-throughput proteomics data using stable isotope labeling, with tools for visualization and model inspection.

bioRxiv · Sep 25, 2017 · PreprintBioinformatics