Dominant negative inhibition data should be analyzed using mathematical modeling - Re-interpreting data from insulin signaling

FEBS Journal

Volumn 282, Issue 4, 2015, Pages 788-802

  Jullesson, David ^a,b   Johansson, Rikard ^a   Rajan, Meenu R ^a   Strålfors, Peter ^a   Cedersund, Gunnar ^a,b  

^a LINKÖPING UNIVERSITY   (Sweden)

^b CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

dominant negative; insulin signaling; S6K; uncertainty analysis

Indexed keywords

INSULIN; INSULIN RECEPTOR SUBSTRATE 1; MAMMALIAN TARGET OF RAPAMYCIN; PROTEIN KINASE; S6 KINASE; SERINE; INSULIN RECEPTOR SUBSTRATE;

ARTICLE; COMPLEX FORMATION; CONCEPTUAL FRAMEWORK; ENZYME ACTIVATION; ENZYME INHIBITION; ENZYME PHOSPHORYLATION; GENE CONSTRUCT; HUMAN; INTRACELLULAR SIGNALING; MATHEMATICAL MODEL; NEGATIVE FEEDBACK; PREDICTION; PROCESS OPTIMIZATION; PROTEIN EXPRESSION; PROTEIN PHOSPHORYLATION; QUALITATIVE ANALYSIS; QUANTITATIVE STUDY; SIGNAL TRANSDUCTION; TIME SERIES ANALYSIS; ANIMAL; METABOLISM; PHYSIOLOGY; THEORETICAL MODEL; UNCERTAINTY;

ANIMALS; HUMANS; INSULIN; INSULIN RECEPTOR SUBSTRATE PROTEINS; MODELS, THEORETICAL; SIGNAL TRANSDUCTION; UNCERTAINTY;

EID: 84923195294     PISSN: 1742464X     EISSN: 17424658     Source Type: Journal    
DOI: 10.1111/febs.13182     Document Type: Article

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