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您的检索式：作者名="David J Timson"
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| 1 | Biochemical analysis of the interactions of IQGAP1 C-terminal domain with CDC42显示文摘AIM:To understand the interaction of human IQGAP1 and CDC42,especially the effects of phosphorylation and a cancer-associated mutation. METHODS:Recombinant CDC42 and a novel C-termi- nal fragment of IQGAP1 were expressed in,and puri- fied from,Escherichia coli.Site directed mutagenesis was used to create coding sequences for three phos- phomimicking variants(S1441E,S1443D and S1441E/ S1443D)and to recapitulate a cancer-associated mu- tation(M1231I).These variant proteins were also ex- pressed and purified.Protein-protein crosslinking using 1-Ethyl-3-(3-dimethylaminopropyl)carbodiimide was used to investigate interactions between the C-terminal fragment and CDC42.These interactions were quanti- fied using surface plasmon resonance measurements.Molecular modelling was employed to make predictions about changes to the structure and flexibility of the protein which occur in the cancer-associated variant. RESULTS:The novel,C-terminal region of human IQGAP1 (residues 877-1558)is soluble following expression and purification.It is also capable of binding to CDC42,as judged by crosslinking experiments.Interaction appears to be strongest in the presence of added GTP.The three phosphomimicking mutants had different affini- ties for CDC42.S1441E had an approximately 200-fold reduction in affinity compared to wild type.This was caused largely by a dramatic reduction in the associa- tion rate constant.In contrast,both S1443D and the double variant S1441E/S1443D had similar affinities to the wild type.The cancer-associated variant,M1231I, also had a similar affinity to wild type.However,in the case of this variant,both the association and dis- sociation rate constants were reduced approximately 10-fold.Molecular modelling of the M1231I variant, based on the published crystal structure of part of the C-terminal region,revealed no gross structural changes compared to wild type(root mean square deviation of 0.564over 5556 equivalent atoms).However,pre- dictions of the flexibility of the polypeptide backbone suggested that some regions of the variant protein had greatly increased rigidity compared to wild type.One such region is a loop linking the proposed CDC42 bind- ing site with the helix containing the altered residue.It is suggested that this increase in rigidity is responsible for the observed changes in association and dissocia- tion rate constants. CONCLUSION:The consequences of introducing nega- tive charge at Ser-1441 or Ser-1443 in IQGAP1 are dif- ferent.The cancer-associated variant M1231I exerts its effects partly by rigidifying the protein. | Sarah F Elliott George Allen David J Timson | 2012 | World Journal of Biological Chemistry2012，3，3： | 1 |
| 2 | Value of predictive bioinformatics in inherited metabolic diseases显示文摘Typically,inherited metabolic diseases arise from point mutations in genes encoding metabolic enzymes. Although some of these mutations directly affect amino acid residues in the active sites of these enzymes,the majority do not. It is now well accepted that the majority of these disease-associated mutations exert their effects through alteration of protein stability,which causes a reduction in enzymatic activity. This finding suggests a way to predict the severity of newly discovered mutations. In silico prediction of the effects of amino acid sequence alterations on protein stability often correlates with disease severity. However,no stability prediction tool is perfect and,in general,better results are obtained if the predictions from a variety of tools are combined and then interpreted. In addition to predicted alterations to stability,the degree of conservation of a particular residue can also be a factor which needs to be taken into account: alterations to highly conserved residues are more likely to be associated with severe forms of the disease. The approach has been successfully applied in a variety of inherited metabolic diseases,but further improvements are necessary to enable robust translation into clinically useful tools. | David J Timson | 2015 | World Journal of Medical Genetics2015，5，3： | 0 |
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