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Escoffier, H.

Publications and source records attributed to Escoffier, H..

3 recordsLinked to original sources

Accessing Enzyme Kinetic Data and Prediction Methods at Scale

Enzyme kinetic parameters inform metabolic models, yet experimental measurements are sparse. A growing body of work predicts them from protein and substrate features, but software fragmentation hinders adoption, so downstream tools lock into the most accessible method. We present OpenKinetics Predictor (at predictor.openkinetics.org), an open-source platform integrating thirteen methods in isolated environments behind one interface. The platform optionally reports similarity between query proteins and each method's training data to contextualise reliability. A common featurisation-prediction abstraction keeps it extensible, and independent parties, including original authors, contributed many methods. We pair it with a data portal (at data.openkinetics.org) that exposes CatLog, a curated kinetic dataset, with precomputed embeddings, predicted binding sites, and standardised splits. Both offer a web interface and an API, and the GECKO modelling toolbox already calls the predictor API. As a case study, we predict across an E. coli model and find inter-predictor agreement varies with metabolic context and data availability.

systems biology↗

c-MAF transduces motor neuron firing to sustain fast-glycolytic myofibers and neuromuscular junctions

This study examined how motoneuron activity influences transcription factor binding in mouse fast glycolytic Myh4+ muscle fibers. Single nucleus multiomics of innervated versus denervated tibialis anterior muscles revealed altered chromatin accessibility: SIX and c-MAF binding sites decreased while JUN, FOS, and RUNX1 sites increased in denervated Myh4+ myonuclei. c-MAF showed strong nuclear enrichment after 100 Hz stimulation and periods of increased motoneuron activity but was absent following denervation, establishing it as a primary readout of fast motoneuron firing. Genome-wide analysis demonstrated that c-MAF binding site spacing encodes functionally distinct muscle gene programs. Analysis of constitutive and inducible skeletal muscle-specific c-Maf mutants revealed that c-MAF loss caused region-specific MYH4+ fiber atrophy, MYH1/MYH2 fiber type shifts resembling ALS G93A mouse phenotypes, and progressive neuromuscular junction fragmentation with increased motoneuron terminal sprouting and ectopic reinnervation. These findings establish c-MAF as a critical mediator linking motoneuron activity to muscle gene regulation, fiber integrity, and neuromuscular junction maintenance in fast glycolytic fibers.

physiology↗

A systematic approach identifies p53-DREAM target genes associated with blood or brain abnormalities

p53 is mainly known as a tumor suppressor, but mouse models revealed that increased p53 activity may cause bone marrow failure, through mechanisms that likely include gene repression mediated by the p53-DREAM pathway. Here we designed a systematic approach to identify p53-DREAM targets whose repression might contribute to abnormal hematopoiesis. We used gene ontology to analyze transcriptomic changes associated with bone marrow cell differentiation and p53 activation, then ChIP-seq data to find promoters bound by the DREAM complex. We next created positional frequency matrices to identify evolutionary conserved sequence elements potentially bound by DREAM. The same approach was developed to find p53-DREAM targets associated with brain abnormalities, also observed in mice with increased p53 activity. Putative DREAM binding sites were found for 151 candidate p53-DREAM target genes, of which 106 are mutated in a blood or brain genetic disorder. Twenty-one DREAM binding sites were tested and found to impact on gene expression in luciferase reporter assays, notably regulating genes mutated in dyskeratosis congenita (Rtel1), Fanconi anemia (Fanca), Diamond-Blackfan anemia (Tsr2), primary microcephaly (Casc5, Ncaph, Wdr62) or pontocerebellar hypoplasia (Toe1). These results provide clues on the role of the p53-DREAM pathway in regulating hematopoiesis and brain development, with implications for tumorigenesis. Author SummaryThe capacity of p53 to activate the transcription of genes important for cell cycle arrest, apoptosis or cellular metabolism has been recognized for decades. By contrast, the potential importance of p53-dependent transcriptional repression emerged more recently. Although p53 frequently appears to repress genes indirectly via the DREAM repressor complex, only a few studies attempted to define p53-DREAM target gene repertoires, often by analyzing cell cycle regulation in fibroblasts. Here we aimed to gain a better appreciation of the clinical relevance of the p53-DREAM pathway by designing a systematic approach for the identification of p53-DREAM targets. Because mouse models with increased p53 activity suffer from bone marrow failure or brain hypoplasia, we relied on transcriptomic changes associated with bone marrow cell differentiation, blood- and brain-related gene ontology terms and RNAseq data from hematopoietic or neural progenitor cells to identify p53-DREAM targets, then created positional frequency matrices to find putative DREAM binding sites. Our study provides a resource of predicted DREAM binding sites for 151 genes associated with blood and/or brain abnormalities, many of which were not previously known to be DREAM targets. Furthermore, our analysis suggests that p53-DREAM alterations may contribute to phenotypic variations in glioblastoma cells.

genetics↗