Author

Jose Mário Meira Teles

Lund UniversityORCID 0000-0003-1373-8250Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alice CádiziD· 1 shared Amy E CulleniD· 1 shared Ania Piskorz· 1 shared Azedine ZoufiriD· 1 shared Bárbara HernandoiD· 1 shared Carsten PetersoniD· 1 shared Diego Garcia-Lopez· 1 shared Florian M. MarkowetziD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

Alice CádizORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintApr 15, 2026

WNT-driven chromosomal instability as a biomarker for PORCN inhibition

Diego Garcia-Lopez, Azedine Zoufir, Bárbara Hernando…·Geoff Macintyre

This paper identifies a chromosomal instability (CIN) biomarker that predicts response to PORCN inhibitors in cancers, validated through in vitro models, cell lines, and patient data.

DOI 10.64898/2026.04.13.718275

humanmouse

𝕏 PostBluesky

Systems BiologybioRxivPreprintOct 3, 2017

Revisiting the erythroid-myeloid lineage decision - a data-driven dynamical model analysis

Jose Mário Meira Teles, Victor Olariu, Carsten Peterson

The paper uses a dynamical model to analyze gene regulatory networks and suggests GATA2 drives erythroid lineage specification by repressing PU.1, while GATA1 is more involved in downstream differentiation.

DOI 10.1101/197822

statistical modelgene regulatory network inference

𝕏 PostBluesky