S
Sergio Bordel
Researcher at University of Valladolid
Publications - 64
Citations - 3354
Sergio Bordel is an academic researcher from University of Valladolid. The author has contributed to research in topics: Medicine & Pseudomonas putida. The author has an hindex of 23, co-authored 56 publications receiving 2884 citations. Previous affiliations of Sergio Bordel include UAM Cuajimalpa & Chalmers University of Technology.
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Journal ArticleDOI
A community-driven global reconstruction of human metabolism
Ines Thiele,Neil Swainston,Ronan M. T. Fleming,Andreas Hoppe,Swagatika Sahoo,Maike K. Aurich,Hulda S. Haraldsdóttir,Monica L. Mo,Ottar Rolfsson,Miranda D. Stobbe,Miranda D. Stobbe,Stefan Gretar Thorleifsson,Rasmus Agren,Christian Bölling,Sergio Bordel,Arvind K. Chavali,Paul D. Dobson,Warwick B. Dunn,Warwick B. Dunn,Lukas Endler,David Hala,Michael Hucka,Duncan Hull,Daniel Jameson,Neema Jamshidi,Jon J. Jonsson,Nick Juty,Sarah M. Keating,Intawat Nookaew,Nicolas Le Novère,Nicolas Le Novère,Naglis Malys,Naglis Malys,Alexander Mazein,Jason A. Papin,Nathan D. Price,Evgeni Selkov,Martin I. Sigurdsson,Evangelos Simeonidis,Evangelos Simeonidis,Nikolaus Sonnenschein,Kieran Smallbone,Anatoly Sorokin,Anatoly Sorokin,Johannes H. G. M. van Beek,Dieter Weichart,Igor Goryanin,Jens Nielsen,Hans V. Westerhoff,Douglas B. Kell,Pedro Mendes,Pedro Mendes,Bernhard O. Palsson,Bernhard O. Palsson +53 more
TL;DR: Recon 2, a community-driven, consensus 'metabolic reconstruction', is described, which is the most comprehensive representation of human metabolism that is applicable to computational modeling and has improved topological and functional features.
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Reconstruction of genome-scale active metabolic networks for 69 human cell types and 16 cancer types using INIT.
Rasmus Agren,Sergio Bordel,Adil Mardinoglu,Natapol Pornputtapong,Intawat Nookaew,Jens Nielsen +5 more
TL;DR: The generated models constitute the first step towards establishing a Human Metabolic Atlas, which will be a comprehensive description of the metabolism of different human cell types, and will allow for tissue-level and organism-level simulations in order to achieve a better understanding of complex diseases.
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Understanding the interactions between bacteria in the human gut through metabolic modeling
TL;DR: This work reconstructed GEMs for three key species, (Bacteroides thetaiotamicron, Eubacterium rectale and Methanobrevibacter smithii) as relevant representatives of three main phyla in the human gut and demonstrated that these models can be used as a scaffold for understanding bacterial interactions in the gut.
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Sampling the Solution Space in Genome-Scale Metabolic Networks Reveals Transcriptional Regulation in Key Enzymes
TL;DR: The information provided by the presented method could guide the discovery of new metabolic engineering strategies or the identification of drug targets for treatment of metabolic diseases.
Journal ArticleDOI
Non-small cell lung cancer is characterized by dramatic changes in phospholipid profiles
Eyra Marien,Michael Meister,Thomas Muley,Steffen Fieuws,Sergio Bordel,Rita Derua,Jeffrey M. Spraggins,Raf Van de Plas,Raf Van de Plas,Jonas Dehairs,Jens Wouters,Muralidhararao Bagadi,Hendrik Dienemann,Michael Thomas,Philipp A. Schnabel,Richard M. Caprioli,Etienne Waelkens,Johannes V. Swinnen +17 more
TL;DR: Using both shotgun and 2D‐imaging lipidomics analysis, a hitherto unrecognized alteration in phospholipid profiles in NSCLC is uncovered, which may have important biological implications and may have significant potential for biomarker development.