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1.
Oncol Lett ; 5(3): 1075-1079, 2013 Mar.
Article in English | MEDLINE | ID: mdl-23426651

ABSTRACT

In the present study, a comparison of the biological processes and gene ontology (GO) in human hepatocellular carcinoma (HCC) with high expression (fold change ≥2) of amelogenin Y-linked (AMELY)-activated upstream regulation networks with non-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) with low expression of activated networks was performed. The principle biological processes involved in non-tumor hepatitis/cirrhotic tissues include positive regulation of mismatch repair, regulation of transcription from RNA polymerase II promoters, negative regulation of cell-cell adhesion, protein ubiquitinatin and protein catabolism. The main biological processes involved in the development of HCC include positive regulation of calcium ion transport into the cytosol, cell proliferation, DNA replication, fibroblast proliferation, immune response, microtubule polymerization and protein secretion. Specific transcription from RNA polymerase II promoters, regulation of angiogenesis, cell growth, protein metabolism, Wnt receptor signaling pathways, negative regulation of endothelial cell differentiation, microtubule depolymerization, peptidase activity and progression through the cell cycle are also involved. Positive regulation of transcription is involved in both processes. An activated AMELY-coupled upstream positive regulation of immune response-mediated protein secretion to Wnt signaling and calcium into cytosol-induced regulation of cell growth and angiogenesis in HCC is proposed. The AMELY upstream regulation molecular network model was constructed with BUB1B, CST6, ESM1, HOXA5, LEF1, MAPT, MYBL2, NOTCH3, PLA2G1B, PROK1, ROBO1, SCML2 and UBE2C in HCC from a Gene Expression Omnibus (GEO) dataset by gene regulation network inference methods and our programming methods.

2.
Integr Biol (Camb) ; 4(10): 1256-62, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22955522

ABSTRACT

We analyzed the different biological processes and occurrence numbers between low expression inhibited PTHLH downstream-mediated aging gene ontology (GO) network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) and the corresponding high expression (fold change ≥2) inhibited GO network of human hepatocellular carcinoma (HCC). Inhibited PTHLH downstream-mediated aging network consisted of aging, branched chain family amino acid biosynthesis, cellular metabolism, cholesterol biosynthesis, coupled to cyclic nucleotide second messenger, cytolysis, 'de novo' GDP-l-fucose biosynthesis, detection of mechanical stimulus, glucose homeostasis, G-protein signaling, leukocyte adhesion, iron-sulfur cluster assembly, JAK-STAT cascade, Notch signaling pathway, nucleotide-sugar metabolism, peptidyl-tyrosine sulfation, protein amino acid N-linked glycosylation, protein amino acid phosphorylation, response to drug, rRNA processing, translational initiation, ubiquitin-dependent protein catabolism, homophilic cell adhesion in no-tumor hepatitis/cirrhotic tissues. We proposed inhibited PTHLH downstream leukocyte adhesion-mediated protein amino acid N-linked glycosylation coupling Notch and JAK-STAT cascade to iron-sulfur cluster assembly-induced aging network. Our hypothesis was verified by the same inhibited PTHLH downstream-mediated aging GO network in no-tumor hepatitis/cirrhotic tissues with the corresponding activated GO network of HCC, or the different with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues. Inhibited PTHLH downstream leukocyte adhesion-mediated protein amino acid N-linked glycosylation coupling Notch and JAK-STAT cascade to iron-sulfur cluster assembly-induced aging network included TSTA3, ALK, CIAO1, NOTCH3 in no-tumor hepatitis/cirrhotic tissues from the GEO data set using gene regulatory network inference method and our programming.


Subject(s)
Aging , Fibrosis/metabolism , Gene Expression Regulation, Neoplastic , Hepatitis/metabolism , Iron-Sulfur Proteins/chemistry , Leukocytes/cytology , Parathyroid Hormone-Related Protein/metabolism , Receptors, Notch/metabolism , Glycosylation , Hepacivirus/metabolism , Hepatitis B virus/metabolism , Homeostasis , Humans , Models, Biological , Neoplasms/metabolism , Oligonucleotide Array Sequence Analysis , Phosphorylation , Signal Transduction , Systems Theory
3.
ScientificWorldJournal ; 2012: 428979, 2012.
Article in English | MEDLINE | ID: mdl-22997493

ABSTRACT

Studies were done on analysis of biological processes in the same high expression (fold change ≥2) activated PTHLH feedback-mediated cell adhesion gene ontology (GO) network of human hepatocellular carcinoma (HCC) compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection). Activated PTHLH feedback-mediated cell adhesion network consisted of anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, G-protein-coupled receptor protein signaling pathway, intracellular transport, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, and transport in HCC. We proposed activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network. Our hypothesis was verified by the different activated PTHLH feedback-mediated cell adhesion GO network of HCC compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues, or the same compared with the corresponding inhibited GO network of HCC. Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network included BUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP, and VCAN in HCC from GEO dataset using gene regulatory network inference method and our programming.


Subject(s)
Carcinoma, Hepatocellular/metabolism , Cell Adhesion Molecules/metabolism , Parathyroid Hormone-Related Protein/metabolism , Phosphatidylinositols/metabolism , Receptors, G-Protein-Coupled/metabolism , Biomarkers, Tumor/genetics , Biomarkers, Tumor/metabolism , Carcinoma, Hepatocellular/genetics , Carcinoma, Hepatocellular/pathology , Carcinoma, Hepatocellular/virology , Cell Adhesion , Cell Differentiation , Computational Biology/methods , Databases, Genetic , Feedback, Physiological , Gene Expression Regulation, Neoplastic , Gene Regulatory Networks , Genes, Neoplasm , Hepacivirus/pathogenicity , Hepatitis B virus/pathogenicity , Hepatitis, Viral, Human/metabolism , Hepatitis, Viral, Human/pathology , Hepatitis, Viral, Human/virology , Humans , Liver Cirrhosis/pathology , Liver Cirrhosis/virology , Oligonucleotide Array Sequence Analysis , Phosphatidylinositols/genetics , Protein Serine-Threonine Kinases/genetics , Protein Serine-Threonine Kinases/metabolism , Receptors, G-Protein-Coupled/genetics , Signal Transduction , Software , Systems Biology/methods , Transcription, Genetic , Ubiquitin-Conjugating Enzymes/genetics , Ubiquitin-Conjugating Enzymes/metabolism
4.
J Recept Signal Transduct Res ; 32(5): 250-6, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22799769

ABSTRACT

Studies were done on the analysis of biological processes in the same high expression (fold change ≥ 2) PTHLH-activated feedback negative regulation-mediated apoptosis gene ontology (GO) network of human hepatocellular carcinoma (HCC) compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues [hepatitis B virus (HBV) or hepatitis C virus (HCV) infection]. We proposed PTHLH-activated network that upstream included the regulation of apoptosis, signal transduction resulting in induction of apoptosis, signal transduction by p53 class mediator resulting in transcription of p21 class mediator, negative regulation of centriole replication, negative regulation of fatty acid biosynthesis, negative regulation of Wnt receptor signaling pathway, anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, apoptosis, induction of apoptosis, and negative regulation of phosphorylation. Downstream-network negative regulation of peptidase activity, anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, apoptosis, induction of apoptosis and negative regulation of phosphorylation, as a result of coupling upstream negative regulation of fatty acid biosynthesis and Wnt receptor signal to downstream peptidase activity-induced apoptosis in HCC. Our hypothesis was verified by the different PTHLH-activated feedback negative regulation-mediated apoptosis GO network of HCC compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues, or the same compared with the corresponding inhibited GO network of HCC. PTHLH coupling upstream negative regulation of fatty acid biosynthesis and Wnt receptor signal to downstream peptidase activity-induced apoptosis network was constructed that upstream BRCA1, DKK1, BUB1B activated PTHLH, and downstream PTHLH-activated CST6, BUB1B, NTN1, PHLDA2 in HCC from GEO data set using gene regulatory network inference method and our programing.


Subject(s)
Carcinoma, Hepatocellular , Fatty Acids , Gene Expression Regulation , Parathyroid Hormone-Related Protein , Wnt Signaling Pathway/genetics , Apoptosis/genetics , Carcinoma, Hepatocellular/genetics , Carcinoma, Hepatocellular/metabolism , Computational Biology , Fatty Acids/biosynthesis , Fatty Acids/metabolism , Gene Regulatory Networks , Humans , Models, Theoretical , Parathyroid Hormone-Related Protein/genetics , Parathyroid Hormone-Related Protein/metabolism , Peptide Hydrolases/genetics , Peptide Hydrolases/metabolism , Signal Transduction , Systems Biology , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolism
5.
Cell Biochem Funct ; 30(7): 582-7, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22674380

ABSTRACT

We constructed the significant low-expression P-glycoprotein (ABCB1) inhibited transport and signal network in chimpanzee compared with high-expression (fold change ≥2) the human left cerebrum in GEO data set, by using integration of gene regulatory activated and inhibited network inference method with gene ontology (GO) analysis. Our result showed that ABCB1 transport and signal upstream network RAB2A inhibited ABCB1, and downstream ABCB1-inhibited SMAD1_2, NCK2, SLC25A46, GDF10, RASGRP1, EGFR, LRPPRC, RASSF2, RASA4, CA2, CBLB, UBR5, SLC25A16, ITGB3BP, DDIT4, PDPN, RAB2A in chimpanzee left cerebrum. We obtained that the different biological processes of ABCB1 inhibited transport and signal network repressed carbon dioxide transport, ER to Golgi vesicle-mediated transport, folic acid transport, mitochondrion transport along microtubule, water transport, BMP signaling pathway, Ras protein signal transduction, transforming growth factor beta receptor signaling pathway in chimpanzee compared with the inhibited network of the human left cerebrum, as a result of inducing inhibition of mitochondrion transport along microtubule and BMP signal-induced cell shape in chimpanzee left cerebrum. Our hypothesis was verified by the same and different biological processes of ABCB1 inhibited transport and signal network of chimpanzee compared with the corresponding activated network of chimpanzee and the human left cerebrum, respectively.


Subject(s)
ATP Binding Cassette Transporter, Subfamily B, Member 1/metabolism , Bone Morphogenetic Proteins/metabolism , Cerebrum/metabolism , Microtubules/metabolism , Mitochondria/metabolism , Animals , Biological Transport , Carbon Dioxide/metabolism , Cell Shape , Gene Expression Regulation , Humans , Microarray Analysis , Models, Biological , Pan troglodytes/metabolism , Signal Transduction
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