A new bioinformatics insight into human cancer-associated proteins

Liu, Fujun; Hua, Xiufeng; Wang, Wen‐Juan

doi:10.3892/or.2012.1714

Cited by 5 publications

(4 citation statements)

References 30 publications

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“…Certain genes that are highly-expressed in the testes or epididymis are promising markers for cancer (15,16). Of the 1,904 selectively-expressed genes, 52 were highly-expressed in the human testes and 30 in the epididymis.…”

Section: Resultsmentioning

confidence: 99%

Functional analysis of human cancer-associated genes and their association with the testes and epididymis

Hua¹,

Wang²,

Liu³

2013

Oncology Letters

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Human cancer-associated UniGene sets (NCBI GeneBank) provide a platform for identifying differentially-expressed genes in human cancers. The present study identified and characterized a set of human cancer-associated genes using the Digital Differential Display (DDD) and functional analysis tools. A total of 1,904 genes were differentially expressed in 15 cancer types, including genes that had been previously shown to be specific in certain human cancers. A total of 274 genes were uniquely expressed in certain cancer types, including 37 genes that were highly expressed in the human testes and epididymis. These genes mainly functioned as ribosomal proteins, enzymes, receptors, secretory proteins and cell adhesion molecules. The most common domains that were encoded by the cancer-associated genes were those of cytochrome P450 CYP2D6, serpin and apolipoprotein A-I. A further gene ontology (GO) enrichment analysis revealed seven major functional clusters, which corresponded to the enriched pathways involved in cancer. The present study provides a source of cancer-associated genes and their functions. The results provide new insights into cancer biology and the involvement of highly-expressed epididymal genes in cancer biomarkers.

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Section: Resultsmentioning

confidence: 99%

Functional analysis of human cancer-associated genes and their association with the testes and epididymis

Hua¹,

Wang²,

Liu³

2013

Oncology Letters

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“…In this research, no teratoma were detected. However, the following are reasons that argue against this possibility: 1) The number of ES-implanted mice was limited; 2) Implantation time was short.We have completed bioinformatic studies of cancer-associated proteins [19] and have started studies to determine the associations of ESCs and tumors.…”

Section: Discussionmentioning

confidence: 99%

Pancreatic Insulin-Producing Cells Differentiated from Human Embryonic Stem Cells Correct Hyperglycemia in SCID/NOD Mice, an Animal Model of Diabetes

et al. 2014

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BackgroundHuman pancreatic islet transplantation is a prospective curative treatment for diabetes. However, the lack of donor pancreases greatly limits this approach. One approach to overcome the limited supply of donor pancreases is to generate functional islets from human embryonic stem cells (hESCs), a cell line with unlimited proliferative capacity, through rapid directed differentiation. This study investigated whether pancreatic insulin-producing cells (IPCs) differentiated from hESCs could correct hyperglycemia in severe combined immunodeficient (SCID)/non-obese diabetic (NOD) mice, an animal model of diabetes.MethodsWe generated pancreatic IPCs from two hESC lines, YT1 and YT2, using an optimized four-stage differentiation protocol in a chemically defined culture system. Then, about 5–7×106 differentiated cells were transplanted into the epididymal fat pad of SCID/NOD mice (n = 20). The control group were transplanted with undifferentiated hESCs (n = 6). Graft survival and function were assessed using immunohistochemistry, and measuring serum human C-peptide and blood glucose levels.ResultsThe pancreatic IPCs were generated by the four-stage differentiation protocol using hESCs. About 17.1% of differentiated cells expressed insulin, as determined by flow cytometry. These cells secreted insulin/C-peptide following glucose stimulation, similarly to adult human islets. Most of these IPCs co-expressed mature β cell-specific markers, including human C-peptide, GLUT2, PDX1, insulin, and glucagon. After implantation into the epididymal fat pad of SCID/NOD mice, the hESC-derived pancreatic IPCs corrected hyperglycemia for ≥8 weeks. None of the animals transplanted with pancreatic IPCs developed tumors during the time. The mean survival of recipients was increased by implanted IPCs as compared to implanted undifferentiated hESCs (P<0.0001).ConclusionsThe results of this study confirmed that human terminally differentiated pancreatic IPCs derived from hESCs can correct hyperglycemia in SCID/NOD mice for ≥8 weeks.

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“…With the development and improvement of high-throughput biotechnologies, cancer biomarkers can be identified by comparing normal cells with cancer cells through genomic, transcriptomic and proteomic analyses. At present, the most promising biomarkers are proteins (2,3) and proteomic analysis provides an opportunity to identify altered protein groups and the complex pathways in breast cancer. The mapping of proteomic profiles and differential proteomics has been widely performed in breast cancer to identify potential biomarkers (4).…”

Section: Introductionmentioning

confidence: 99%

Screening and functional analysis of a differential protein profile of human breast cancer

2014

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To improve the understanding of the enriched functions of proteins and to identify potential biomarkers in human breast cancer, the present study constructed a differentially expressed protein profile by screening immunohistochemistry maps of human breast cancer proteins. A total of 1,688 proteins were found to be differentially expressed in human breast cancer, including 773 upregulated and 915 downregulated proteins. Of these proteins, secreted and membrane proteins were screened and clustered, and more enriched biological functions and pathways were presented in the upregulated protein profiles. Furthermore, altered serum levels of peroxiredoxin (PRDX)2, PRDX6, cathepsin (CTS)B and CTSD were detected by ELISA assay. The present study provides a novel global mapping of potential breast cancer biomarkers that could be used as background to identify the altered pathways in human breast cancer, as well as potential cancer targets.

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A new bioinformatics insight into human cancer-associated proteins

Cited by 5 publications

References 30 publications

Functional analysis of human cancer-associated genes and their association with the testes and epididymis

Functional analysis of human cancer-associated genes and their association with the testes and epididymis

Pancreatic Insulin-Producing Cells Differentiated from Human Embryonic Stem Cells Correct Hyperglycemia in SCID/NOD Mice, an Animal Model of Diabetes

Screening and functional analysis of a differential protein profile of human breast cancer

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