Literature DB >> 12592021

Backbone dynamics of the human MIA protein studied by (15)N NMR relaxation: implications for extended interactions of SH3 domains.

Raphael Stoll1, Christian Renner, Reinhard Buettner, Wolfgang Voelter, Anja-Katrin Bosserhoff, Tad A Holak.   

Abstract

The melanoma inhibitory activity (MIA) protein is a clinically valuable marker in patients with malignant melanoma as enhanced values diagnose metastatic melanoma stages III and IV. Here, we report the backbone dynamics of human MIA studied by (15)N NMR relaxation experiments. The folded core of human MIA is found to be rigid, but several loops connecting beta-sheets, such as the RT-loop for example, display increased mobility on picosecond to nanosecond time scales. One of the most important dynamic features is the pronounced flexibility of the distal loop, comprising residues Asp 68 to Ala 75, where motions on time scales up to milliseconds occur. Further, significant exchange contributions are observed for residues of the canonical binding site of SH3 domains including the RT-loop, the n-Src loop, for the loop comprising residues 13 to 19, which we refer to as the"disulfide loop", in part for the distal loop, and the carboxyl terminus of human MIA. The functional importance of this dynamic behavior is discussed with respect to the biological activity of several point mutations of human MIA. The results of this study suggest that the MIA protein and the recently identified highly homologous fibrocyte-derived protein (FDP)/MIA-like (MIAL) constitute a new family of secreted proteins that adopt an SH3 domain-like fold in solution with expanded ligand interactions.

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Year:  2003        PMID: 12592021      PMCID: PMC2312446          DOI: 10.1110/ps.0222603

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  42 in total

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2.  Solution structure of the SH3 domain of Src and identification of its ligand-binding site.

Authors:  H Yu; M K Rosen; T B Shin; C Seidel-Dugan; J S Brugge; S L Schreiber
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3.  Structural basis for the binding of proline-rich peptides to SH3 domains.

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Authors:  N G Robertson; S Heller; J S Lin; B L Resendes; S Weremowicz; C S Denis; A M Bell; A J Hudspeth; C C Morton
Journal:  Genomics       Date:  2000-06-15       Impact factor: 5.736

5.  Sequence-specific 1H, 13C, and 15N assignment of the human melanoma inhibitory activity (MIA) protein.

Authors:  R Stoll; C Renner; D Ambrosius; M Golob; W Voelter; R Buettner; A K Bosserhoff; T A Holak
Journal:  J Biomol NMR       Date:  2000-05       Impact factor: 2.835

6.  S100-Beta, melanoma-inhibiting activity, and lactate dehydrogenase discriminate progressive from nonprogressive American Joint Committee on Cancer stage IV melanoma.

Authors:  M Deichmann; A Benner; M Bock; A Jäckel; K Uhl; V Waldmann; H Näher
Journal:  J Clin Oncol       Date:  1999-06       Impact factor: 44.544

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Authors:  H Kang; C Freund; J S Duke-Cohan; A Musacchio; G Wagner; C E Rudd
Journal:  EMBO J       Date:  2000-06-15       Impact factor: 11.598

8.  The solution structure of photosystem I accessory protein E from the cyanobacterium Nostoc sp. strain PCC 8009.

Authors:  K L Mayer; G Shen; D A Bryant; J T Lecomte; C J Falzone
Journal:  Biochemistry       Date:  1999-10-12       Impact factor: 3.162

9.  SH2 and SH3 domains: elements that control interactions of cytoplasmic signaling proteins.

Authors:  C A Koch; D Anderson; M F Moran; C Ellis; T Pawson
Journal:  Science       Date:  1991-05-03       Impact factor: 47.728

10.  NMR 15N relaxation of the insulin-like growth factor (IGF)-binding domain of IGF binding protein-5 (IGFBP-5) determined free in solution and in complex with IGF-II.

Authors:  C Renner; T Holak
Journal:  Eur J Biochem       Date:  2001-02
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  4 in total

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2.  Human melanoma inhibitory protein binds to the FN12-14 Hep II domain of fibronectin.

Authors:  King Tuo Yip; Xueyin Zhong; Nadia Seibel; Oliver Arnolds; Miriam Schöpel; Raphael Stoll
Journal:  Biointerphases       Date:  2017-05-31       Impact factor: 2.456

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4.  Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach.

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  4 in total

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