4 Papers
24 Citations
M Ria is an academic researcher from Wellcome Trust Centre for Human Genetics. The author has contributed to research in topics: Insulin & Gene. The author has an hindex of 3, co-authored 4 publications.
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Papers
Global microRNA expression profiles in insulin target tissues in a spontaneous rat model of type 2 diabetes
Blanca M. Herrera,Blanca M. Herrera,Helen Lockstone,Jennifer M. Taylor,M Ria,Amy Barrett,Stephan C. Collins,Pamela J. Kaisaki,Karène Argoud,Carlos García-Gutiérrez Fernández,Mary E. Travers,J P Grew,Joshua C. Randall,Anna L. Gloyn,Dominique Gauguier,Dominique Gauguier,Mark I. McCarthy,Mark I. McCarthy,Cecilia M. Lindgren,Cecilia M. Lindgren +19 more
TL;DR: Predicted target genes of these differentially expressed microRNAs are involved in pathways relevant to type 2 diabetes, as modelled by the Gyoto–Kakizaki rat.
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Molecular genetics of the transcription factor GLIS3 identifies its dual function in beta cells and neurons.
Sophie Calderari,M Ria,Christelle C. Gérard,Tatiane C Nogueira,Olatz Villate,Stephan C. Collins,Helen Neil,Nicolas Gervasi,Christophe Hue,Nicolas Suárez-Zamorano,Cecilia Prado,Miriam Cnop,Marie-Thérèse Bihoreau,Pamela J. Kaisaki,Jean-Baptiste Cazier,Cécile Julier,Mark Lathrop,Michel Werner,Decio L. Eizirik,Dominique Gauguier,Dominique Gauguier,Dominique Gauguier +21 more
TL;DR: The identified GLIS3 binding sites in insulin secreting cells (INS1) shared the motif wrGTTCCCArTAGs, which were enriched in genes involved in neuronal function and autophagy and in risk genes for metabolic and neuro-behavioural diseases.
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Pathophysiological, genetic and gene expression features of a novel rodent model of the cardio-metabolic syndrome.
Robert H. Wallis,Stephan C. Collins,Stephan C. Collins,Pamela J. Kaisaki,Karène Argoud,Steven P. Wilder,Karin J. Wallace,M Ria,Alain Ktorza,Patrik Rorsman,Marie-Thérèse Bihoreau,Dominique Gauguier +11 more
TL;DR: The congenic strain reported here provides a novel and sustainable model for investigating the pathogenesis and genetic basis of risks factors for the cardio-metabolic syndrome and diabetes complications and emphasizes the importance of rat congenic models for defining the impact of genetic variants in well-characterised QTL regions on in vivo pathophysiological features and cis-/trans- regulation of gene expression.
Reply to “Lack of support for association between common variation in TNFSF4 and myocardial infarction in a German population”
TL;DR: There is a lack of support for association between common variation in TNFSF4 and myocardial infarction in a German population, but the mechanism behind the association is unclear.