S100A11: Diverse Function and Pathology Corresponding to Different Target Proteins

He, Honglin; Li, Jingjing; Weng, Shunyan; Li, Mingfa; Yu, Yan

doi:10.1007/s12013-009-9061-8

Cited by 67 publications

(55 citation statements)

References 95 publications

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“…It is noteworthy that protein S100A11, implicated as a potential biomarker of infective endocarditis, was more abundant during F. alocis monoinfection (75). S100A11 proteins are involved in endocytosis and exocytosis (76), regulation of enzyme activity, cell growth regulation, apoptosis, and inflammation (77). Periodontitis is an inflammatory disease; however, its role in other systemic inflammatory diseases is unknown.…”

Section: Discussionmentioning

confidence: 99%

Proteome Analysis of Coinfection of Epithelial Cells with Filifactor alocis and Porphyromonas gingivalis Shows Modulation of Pathogen and Host Regulatory Pathways

et al. 2014

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Section: Discussionmentioning

confidence: 99%

Proteome Analysis of Coinfection of Epithelial Cells with Filifactor alocis and Porphyromonas gingivalis Shows Modulation of Pathogen and Host Regulatory Pathways

et al. 2014

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“…CKS2 is a subunit of cyclin dependent kinases and has been reported to be associated with liver metastasis of colon cancer (20,21). The expression of RAN, a small GTPase, has been shown to be increased in most types of cancer (22,23) while S100A11, a member of the S100 family shows either elevated or repressed expression levels depending on cancer types (24). ECT2, a Rho guanine nucleotide exchange factor, is a protooncogene cloned based on its transforming ability in fibroblast and is involved in cytokinesis (25,26).…”

Section: Discussionmentioning

confidence: 99%

Clinical Validation of Colorectal Cancer Biomarkers Identified from Bioinformatics Analysis of Public Expression Data

Lee¹,

Choi²,

Kim³

et al. 2011

Clinical Cancer Research

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Purpose: Identification of novel biomarkers of cancer is important for improved diagnosis, prognosis, and therapeutic intervention. This study aimed to identify marker genes of colorectal cancer (CRC) by combining bioinformatics analysis of gene expression data and validation experiments using patient samples and to examine the potential connection between validated markers and the established oncogenes such as c-Myc and K-ras.Experimental Design: Publicly available data from GenBank and Oncomine were meta-analyzed leading to 34 candidate marker genes of CRC. Multiple case-matched normal and tumor tissues were examined by RT-PCR for differential expression, and 9 genes were validated as CRC biomarkers. Statistical analyses for correlation with major clinical parameters were carried out, and RNA interference was used to examine connection with major oncogenes.Results: We show with high confidence that 9 (ECT2, ETV4, DDX21, RAN, S100A11, RPS4X, HSPD1, CKS2, and C9orf140) of the 34 candidate genes are expressed at significantly elevated levels in CRC tissues compared to normal tissues. Furthermore, high-level expression of RPS4X was associated with nonmucinous cancer cell type and that of ECT2 with lack of lymphatic invasion while upregulation of CKS2 was correlated with early tumor stage and lack of family history of CRC. We also demonstrate that RPS4X and DDX21 are regulatory targets of c-Myc and ETV4 is downstream to K-ras signaling.Conclusions: We have identified multiple novel biomarkers of CRC. Further analyses of their function and connection to signaling pathways may reveal potential value of these biomarkers in diagnosis, prognosis, and treatment of CRC.

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“…The expression of its gene is tightly controlled by p53, through which the p21/WAF1 protein mediates p53-dependent cell cycle G1 phase arrest, in response to a variety of stress stimuli (24,55). For example, S100A11 has been shown to be involved since TGF-β induces S100A11 gene expression and translocation into the nucleus, where it interacts with p21/WaF1 (56,57). S100A4 target genes comprise p21/WAF, Bax, thrombospondin-1 and MDM2 (16,58,59).…”

Section: +mentioning

confidence: 99%

S100 family signaling network and related proteins in pancreatic cancer (Review)

Huang

Jiang

et al. 2014

International Journal of Molecular Medicine

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Abstract. The occurrence and development of pancreatic cancer is a complex process convoluted by multi-pathogenies, multi-stages and multi-factors. S100 proteins are members of the S100 family that regulate multiple cellular pathways related to pancreatic cancer progression and metastasis. S100 proteins have a broad range of intracellular and extracellular functions, including the regulation of protein phosphorylation and enzyme activity, calcium homeostasis and the regulation of cytoskeletal components and transcriptional factors. S100 proteins interact with receptor for advanced glycation end-products (RAGE), p53 and p21, which play a role in the degradation of the extracellular matrix (ECM) and metastasis, and also interact with cytoskeletal proteins and the plasma membrane in pancreatic cancer progression and metastasis. S100A11 and S100P are significant tumor markers for pancreatic cancer and unfavorable predictors for the prognosis of patients who have undergone surgical resection. Recently, S100A2 has been suggested to be a negative prognostic biomarker in pancreatic cancer, and the expression of S100A6 may be an independent prognostic impact factor. The expression of S100A4 and S100P is associated with drug resistance, differentiation, metastasis and clinical outcome. This review summarizes the role and significance of the S100 family signaling network and related proteins in pancreatic cancer.

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S100A11: Diverse Function and Pathology Corresponding to Different Target Proteins

Cited by 67 publications

References 95 publications

Proteome Analysis of Coinfection of Epithelial Cells with Filifactor alocis and Porphyromonas gingivalis Shows Modulation of Pathogen and Host Regulatory Pathways

Proteome Analysis of Coinfection of Epithelial Cells with Filifactor alocis and Porphyromonas gingivalis Shows Modulation of Pathogen and Host Regulatory Pathways

Clinical Validation of Colorectal Cancer Biomarkers Identified from Bioinformatics Analysis of Public Expression Data

S100 family signaling network and related proteins in pancreatic cancer (Review)

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