Linked Life Data

20811135

Source:http://linkedlifedata.com/resource/pubmed/id/20811135

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2010-9-2
pubmed:abstractText
The investigation of novel genes involved in the derangement of glucose and lipid metabolism is of particular importance in understanding the development of metabolic syndrome (MS). In the present study, bioinformatic analyses were carried out to explore the structures and roles of the proteins encoded by the four cDNA sequences identified in our previous studies as associated with MS. Homology analyses demonstrated that the proteins encoded by Sequence 1, Sequence 2, Sequence 3, and Sequence 4 were homologous with fibrinogen gamma polypeptide, liver fibrinogen-like 1, chromosome 10 open reading frame 104, and an unnamed protein product, respectively. Because the structures were well-known for fibrinogen gamma polypeptide and liver fibrinogen-like 1, further analyses were performed only for Sequence 3 and Sequence 4. Analyses of functional domains showed that the predicted proteins encoded by Sequence 3 and Sequence 4 had multiple phosphorylation and myristoylation sites. These results indicated that the two predicted proteins might be intermediate proteins in some signaling pathways. In order to explore the possible association of Sequence 3 with MS, HepG2 cells, a human hepatoma cell line, were treated with different concentrations of glucose (mannitol as osmotic control) for 48 h. Glucose at concentrations of 22 and 33.3 mM significantly increased the mRNA expression of Sequence 3 compared to glucose at 5.6 mM while mannitol had no significant effect on the mRNA expression of Sequence 3. These results indicated that the mRNA expression of Sequence 3 was positively associated with glucose higher than physiological concentrations.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1881-7823
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
165-9
pubmed:meshHeading
pubmed-meshheading:20811135-Amino Acid Sequence, pubmed-meshheading:20811135-Cell Line, Tumor, pubmed-meshheading:20811135-Chromosomes, Human, Pair 10, pubmed-meshheading:20811135-Computational Biology, pubmed-meshheading:20811135-DNA, Complementary, pubmed-meshheading:20811135-Dose-Response Relationship, Drug, pubmed-meshheading:20811135-Fibrinogen, pubmed-meshheading:20811135-Gene Expression, pubmed-meshheading:20811135-Glucose, pubmed-meshheading:20811135-Humans, pubmed-meshheading:20811135-Liver, pubmed-meshheading:20811135-Mannitol, pubmed-meshheading:20811135-Metabolic Syndrome X, pubmed-meshheading:20811135-Molecular Sequence Data, pubmed-meshheading:20811135-Neoplasm Proteins, pubmed-meshheading:20811135-Open Reading Frames, pubmed-meshheading:20811135-Peptide Fragments, pubmed-meshheading:20811135-RNA, Messenger, pubmed-meshheading:20811135-Reverse Transcriptase Polymerase Chain Reaction, pubmed-meshheading:20811135-Sequence Analysis, Protein, pubmed-meshheading:20811135-Sequence Homology, Amino Acid
pubmed:year
2010
pubmed:articleTitle
Bioinformatic analyses and an expression study of a novel gene associated with metabolic syndrome.
pubmed:affiliation
Department of Biochemistry and Molecular Biology, West China School of Preclinical and Forensic Medicine, Sichuan University, Chengdu, Sichuan, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't