The identification of a novel human homologue of the SH3 binding glutamic acid-rich (SH3BGR) gene establishes a new family of highly conserved small proteins related to Thioredoxin Superfamily

Mazzocco, Michela; Maffei, Massimo; Egeo, Aliana; Vergano, Alessandro; Arrigo, Paul; Lisi, Raffaella Di; Ghiotto, Fabio; Scartezzini, Paolo

doi:10.1016/s0378-1119(02)00602-9

Cited by 58 publications

(54 citation statements)

References 27 publications

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“…Protein structure analysis suggested that SH3BGRL3 lacks the SH2 domain (10,(26)(27)(28)(29) in directly binding to phosphorylated residues of EGFR. This result implies that SH3BGRL3 might indirectly interact with phosphorylated EGFR through other adaptor proteins.…”

Section: The Interaction Of Sh3bgrl3 With Egfr By Proline-rich Residumentioning

confidence: 99%

“…The crystal and NMR structures of SH3BGRL3 have been described in an earlier work (9). The amino acid sequence of SH3BGRL3 belongs to the thioredoxin superfamily and is highly similar to Escherichia coli GRX1 (10), an enzyme with oxidoreductase activity. Although SH3BGRL3 protein is homologous to Nterminal region of the SH3BGR protein (10,11), it lacks the conserved SH3-binding motif, implying that it has a different function to those of other subfamily members.…”

Section: Introductionmentioning

confidence: 99%

“…The amino acid sequence of SH3BGRL3 belongs to the thioredoxin superfamily and is highly similar to Escherichia coli GRX1 (10), an enzyme with oxidoreductase activity. Although SH3BGRL3 protein is homologous to Nterminal region of the SH3BGR protein (10,11), it lacks the conserved SH3-binding motif, implying that it has a different function to those of other subfamily members. SH3BGRL3 could inhibit TNFa-induced apoptosis and promote cell survival, although the molecular mechanism underlying these functions remains unclear (12).…”

Section: Introductionmentioning

confidence: 99%

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SH3BGRL3 Protein as a Potential Prognostic Biomarker for Urothelial Carcinoma: A Novel Binding Partner of Epidermal Growth Factor Receptor

Chiang

Pan

Chang

et al. 2015

Clinical Cancer Research

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Purpose: Mass spectrometry-based biomarker discovery has clinical benefit. To identify novel biomarkers for urothelial carcinoma, we performed quantitative proteomics on pooled urine pairs from patients with and without urothelial carcinoma.Experimental Design: Shot-gun proteomics using liquid chromatography-tandem mass spectrometry and stable isotope dimethyl labeling identified 219 candidate proteins. The potential implication of SH3 domain binding glutamic acid-rich protein like 3 (SH3BGRL3) was examined by immunoblotting of the urine (n ¼ 13) and urothelial tumors (n ¼ 32). Additional immunohistochemistry was performed on bladder cancer array (n ¼ 1145) and correlated with tumor aggressiveness. Then, biologic functions and signaling pathways of SH3BGRL3 were explored using stable cell lines.Results: The detectable urine SH3BGRL3 in patients with urothelial carcinoma was positively associated with higher histologic grading and muscle invasiveness of urothelial carcinoma.

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Section: The Interaction Of Sh3bgrl3 With Egfr By Proline-rich Residumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

SH3BGRL3 Protein as a Potential Prognostic Biomarker for Urothelial Carcinoma: A Novel Binding Partner of Epidermal Growth Factor Receptor

Chiang

Pan

Chang

et al. 2015

Clinical Cancer Research

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“…SH3 domain-binding glutamic acid-rich-like protein belongs to a new family of highly conserved small proteins related to thioredoxin superfamily which is involved in the control of redox dependent processes (Mazzocco et al, 2002). The structural features of alpha-crystallin B suggest that this protein is a small stress protein related to small heat shock protein family, while the 78 kDa glucose regulated protein is another stress protein belonging to the 70 kDa heat shock protein family.…”

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confidence: 99%

A comparative proteomic study on the effects of metal pollution in oysters Crassostrea hongkongensis

et al. 2016

Marine Pollution Bulletin

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The metal pollution has posed great risk on the coastal organisms along the Jiulongjiang Estuary in South China. In this work, two-dimensional electrophoresis-based proteomics was applied to the oysters Crassostrea hongkongensis from metal pollution sites to characterize the proteomic responses to metal pollution. Metal accumulation and proteomic responses indicated that the oysters from BJ site were more severely contaminated than those from FG site. Compared with those oyster samples from the clean site (JZ), metal pollution induced cellular injuries, oxidative and immune stresses in oyster heapatopancreas from both BJ and FG sites via differential metabolic pathways. In addition, metal pollution in BJ site induced disturbance in energy and lipid metabolisms in oysters. Results indicated that cathepsin L and ferritin GF1 might be the biomarkers of As and Fe in oyster C. hongkongensis, respectively. This study demonstrates that proteomics is a useful tool for investigating biological effects induced by metal pollution.

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“…In relation to the SH3BGRL2 (SH3 Domain Binding Glutamate-Rich Protein) gene located at SSC1 (Table 1), Mazzocco et al (2002) mentioned that some proteins that are coded from this gene are highly homologous to the N-terminal region of the SH3BGR protein and appear to be related to thioredoxin, one of whose functions may be to promote the growth hormone in tissue-culture cells. In the context of growth related genes, several studies have found significant QTL affecting the weight and feed efficient traits in this same region of the SH3B-GRL2 gene.…”

Section: Snp Derived Candidate Gene Annotationmentioning

confidence: 99%

Genome association study through nonlinear mixed models revealed new candidate genes for pig growth curves

Silva

Zambrano

Varona

et al. 2017

Sci. agric. (Piracicaba, Braz.)

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Genome association analyses have been successful in identifying quantitative trait loci (QTLs) for pig body weights measured at a single age. However, when considering the whole weight trajectories over time in the context of genome association analyses, it is important to look at the markers that affect growth curve parameters. The easiest way to consider them is via the two-step method, in which the growth curve parameters and marker effects are estimated separately, thereby resulting in a reduction of the statistical power and the precision of estimates. One efficient solution is to adopt nonlinear mixed models (NMM), which enables a joint modeling of the individual growth curves and marker effects. Our aim was to propose a genome association analysis for growth curves in pigs based on NMM as well as to compare it with the traditional two-step method. In addition, we also aimed to identify the nearest candidate genes related to significant SNP (single nucleotide polymorphism) markers. The NMM presented a higher number of significant SNPs for adult weight (A) and maturity rate (K), and provided a direct way to test SNP significance simultaneously for both the A and K parameters. Furthermore, all significant SNPs from the two-step method were also reported in the NMM analysis. The ontology of the three candidate genes (SH3BGRL2, MAPK14, and MYL9) derived from significant SNPs (simultaneously affecting A and K) allows us to make inferences with regards to their contribution to the pig growth process in the population studied.

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The identification of a novel human homologue of the SH3 binding glutamic acid-rich (SH3BGR) gene establishes a new family of highly conserved small proteins related to Thioredoxin Superfamily

Cited by 58 publications

References 27 publications

SH3BGRL3 Protein as a Potential Prognostic Biomarker for Urothelial Carcinoma: A Novel Binding Partner of Epidermal Growth Factor Receptor

SH3BGRL3 Protein as a Potential Prognostic Biomarker for Urothelial Carcinoma: A Novel Binding Partner of Epidermal Growth Factor Receptor

A comparative proteomic study on the effects of metal pollution in oysters Crassostrea hongkongensis

Genome association study through nonlinear mixed models revealed new candidate genes for pig growth curves

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