M
Maria Pires Pacheco
Researcher at University of Luxembourg
Publications - 15
Citations - 414
Maria Pires Pacheco is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 7, co-authored 7 publications receiving 273 citations.
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Fast reconstruction of compact context-specific metabolic network models.
TL;DR: This work presents fastcore, a generic algorithm for reconstructing context-specific metabolic network models from global genome-wide metabolicnetwork models such as Recon X, and shows that a minimal consistent reconstruction can be defined via a set of sparse modes of the global network.
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The gut microbial metabolite formate exacerbates colorectal cancer progression
Dominik Ternes,Mina Tsenkova,Vitaly I. Pozdeev,Marianne Meyers,E. Koncina,Sura Atatri,Martine Schmitz,Jessica Karta,Maryse Schmoetten,Almut Heinken,Fabien Rodriguez,Catherine Delbrouck,Anthoula Gaigneaux,Aurélien Ginolhac,Tam T.D. Nguyen,Léa Grandmougin,Audrey Frachet-Bour,Camille Martin-Gallausiaux,Maria Pires Pacheco,Lorie Neuberger-Castillo,Paulo Miranda,Nikolaus Zuegel,J Y Ferrand,Manon Gantenbein,Thomas Sauter,Daniel J. Slade,Ines Thiele,Johannes Meiser,Serge Haan,Paul Wilmes,Elisabeth Letellier +30 more
TL;DR: In this article , formate, a metabolite produced by the colorectal cancer associated bacterium Fusobacterium nucleatum, was shown to promote CRC development, and the authors identified formate as a gut derived oncometabolite that is relevant for CRC progression.
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Integrated metabolic modelling reveals cell-type specific epigenetic control points of the macrophage metabolic network
Maria Pires Pacheco,Elisabeth John,Tony Kaoma,Merja Heinäniemi,Nathalie Nicot,Laurent Vallar,Jean-Luc Bueb,Lasse Sinkkonen,Thomas Sauter +8 more
TL;DR: Focusing on the metabolic genes under high regulatory load from multiple enhancers or super-enhancers, these genes are found to show the most cell type-restricted and abundant expression profiles within their respective pathways.
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Benchmarking Procedures for High-Throughput Context Specific Reconstruction Algorithms.
TL;DR: This review describes and analyses common validation methods used for testing model building algorithms and deduce properties of these algorithms that can be compared with future developments.
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Towards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyond
TL;DR: This contribution proposes to improve the predictive power of metabolic models by switching from gene-protein-re reaction associations to transcript-isoform-reaction associations, thus taking advantage of the improvement of precision in gene expression measurements.