An information theoretic approach to insulin sensing by human kidney podocytes.

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Bibliographic Details
Title: An information theoretic approach to insulin sensing by human kidney podocytes.
Authors: Pope RJ; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK., Garner KL; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK., Voliotis M; College of Engineering, Mathematics and Physical Sciences, Living Systems Institute, University of Exeter, Exeter, EX44QF, UK., Lay AC; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK., Betin VM; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK., Tsaneva-Atanasova K; College of Engineering, Mathematics and Physical Sciences, Living Systems Institute, University of Exeter, Exeter, EX44QF, UK., Welsh GI; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK., Coward RJ; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK., McArdle CA; Bristol Renal, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK; Labs. for Integrative Neuroscience and Endocrinology, Bristol Medical School, University of Bristol, Bristol, BS13NY, UK. Electronic address: craig.mcardle@bristol.ac.uk.
Source: Molecular and cellular endocrinology [Mol Cell Endocrinol] 2020 Dec 01; Vol. 518, pp. 110976. Date of Electronic Publication: 2020 Aug 01.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: North Holland Publishing Country of Publication: Ireland NLM ID: 7500844 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8057 (Electronic) Linking ISSN: 03037207 NLM ISO Abbreviation: Mol Cell Endocrinol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8057
DOI:10.1016/j.mce.2020.110976