A5045037987- Ferroptosis and cancer prognosis
- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Bioinformatics and Genomic Networks
- Cancer, Hypoxia, and Metabolism
- Hepatocellular Carcinoma Treatment and Prognosis
- Genetic and phenotypic traits in livestock
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Machine Learning in Bioinformatics
- Cancer Genomics and Diagnostics
- Circular RNAs in diseases
- Lipid Membrane Structure and Behavior
- Metabolomics and Mass Spectrometry Studies
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Bone health and osteoporosis research
- Cellular Mechanics and Interactions
- Cancer, Lipids, and Metabolism
- Birth, Development, and Health
- Cancer Mechanisms and Therapy
- Sphingolipid Metabolism and Signaling
- Erythrocyte Function and Pathophysiology
- Spaceflight effects on biology
- Spectroscopy Techniques in Biomedical and Chemical Research
- Liver Disease Diagnosis and Treatment
Physiologie Environnement et Génétique pour l'Animal et les Systèmes d'Elevage
2023-2024
Institut Agro Rennes-Angers
2024
Université de Rennes
2016-2023
Inserm
2016-2023
Nutrition, métabolismes et cancer
2018-2023
L'Institut Agro
2023
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2023
Université Bretagne Loire
2018
Foie, Métabolisme, Cancer
2016-2018
Abstract Gene atlases for livestock are steadily improving thanks to new genome assemblies and expression data the gene annotation. However, content varies across databases due differences in RNA sequencing bioinformatics pipelines, especially long non-coding RNAs (lncRNAs) which have higher tissue developmental specificity harder consistently identify compared protein coding genes (PCGs). As done previously 2020 chicken galgal5 GRCg6a, we provide a atlas, lncRNA-enriched, latest GRCg7b...
Abstract Integrative genomics helped characterize molecular heterogeneity in hepatocellular carcinoma (HCC), leading to targeted drug candidates for specific HCC subtypes. However, no consensus was achieved genes and pathways commonly altered HCC. Here, we performed a meta-analysis of 15 independent datasets (n = 784 human HCC) identified comprehensive signature consisting 935 deregulated as compared with the surrounding nontumor tissue. In signature, upregulated were linked early genomic...
Intrahepatic cholangiocarcinoma (iCCA) is a deadly liver primary cancer associated with poor prognosis and limited therapeutic opportunities. Active transforming growth factor beta (TGFβ) signaling hallmark of the iCCA microenvironment. However, impact TGFβ on transcriptome tumor cells has been poorly investigated. Here, we have identified specific signature genes commonly deregulated in cell lines, namely HuCCT1 Huh28. Novel coding noncoding targets were identified, including TGFβ-induced...
New Findings What is the central question of this study? Although microgravity well known to reduce circulating iron in astronauts, underlying mechanism still unknown. We investigated whether hepcidin, a key hormone regulating metabolism, could be involved deleterious effect. main finding and its importance? show that hindlimb suspension, model microgravity, stimulates production hepcidin liver rats. In agreement with biological role we found decrease an increase spleen content...
ABSTRACT Gene atlases for livestock are steadily improving thanks to new genome assemblies and expression data the gene annotation. However, content varies across databases due differences in RNA sequencing bioinformatics pipelines, especially long non-coding RNAs (lncRNAs) which have higher tissue developmental specificity harder consistently identify compared protein coding genes (PCGs). As done previously 2020 chicken galgal5 GRCg6a, we provide a atlas, lncRNA-enriched, latest GRCg7b...
The characteristics and fate of cancer cells partly depend on their environmental stiffness, i.e., the local mechanical cues they face. HepaRG progenitors are liver carcinoma exhibiting transdifferentiation properties; however, underlying mechanisms remain unknown. To evaluate impact external physical forces mimicking tumor microenvironment, we seeded them at very high density for 20 h, keeping round unanchored to substrate. Applied without corticoids, spatial confinement due induced...
Non-alcoholic fatty liver disease is associated with obesity, diabetes, and metabolic syndrome. The detection of systemic changes alterations in the status during non-alcoholic could improve patient follow-up. aim present study was to evaluate potential mid-infrared fibre evanescent wave spectroscopy as a minimum-invasive method for evaluating disease. Seventy-five mice were subjected control, high-fat or high-fat-high carbohydrate diets. We analysed serum biochemical parameters mRNA levels...
Long non-coding RNAs (lncRNAs), defined by a length of over 200 nucleotides and limited protein-coding potential, have emerged as key regulators gene expression. However, their evolutionary conservation functional roles remain largely unexplored. Comparative genomics, particularly through sequence analysis, offers promising approach to infer lncRNA functions. Traditional methods focusing on genes (PCGs) fall short due the rapid divergence sequences. To address this, workflow combining...
<div>Abstract<p>Integrative genomics helped characterize molecular heterogeneity in hepatocellular carcinoma (HCC), leading to targeted drug candidates for specific HCC subtypes. However, no consensus was achieved genes and pathways commonly altered HCC. Here, we performed a meta-analysis of 15 independent datasets (<i>n</i> = 784 human HCC) identified comprehensive signature consisting 935 deregulated as compared with the surrounding nontumor tissue. In signature,...
<p>Supplementary Figure 1. Reversion of the core transcriptional programming HCC cells by selected drugs. Supplementary 2. Four-way Venn diagram comparing gene sets included in S1, S2 and S3 subtype signatures from Hoshida's study [1] our signature.</p>
<p>Supplementary Figure 1. Reversion of the core transcriptional programming HCC cells by selected drugs. Supplementary 2. Four-way Venn diagram comparing gene sets included in S1, S2 and S3 subtype signatures from Hoshida's study [1] our signature.</p>