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Identification and Characterization of 177 Unreported Genes Associated with Liver Regeneration
- Source :
- Genomics, Proteomics & Bioinformatics
- Publication Year :
- 2004
- Publisher :
- Elsevier BV, 2004.
-
Abstract
- The mammalian liver has a very strong regeneration capacity after partial hepatectomy (PH). To further learn the genes participating in the liver regeneration (LR), 551 cDNAs selected from subtracted cDNA libraries of the regenerating rat liver were screened by microarray, and their expression profiles were studied by cluster and generalization analyses. Among them, 177 genes were identified unreported and up- or down-regulated more than twofold at one or more time points after PH, of which 62 genes were down-regulated to less than 0.5; 99 genes were up-regulated to 2–10 folds, and 16 genes were either up- or down-regulated at different time points during LR. By using BLAST and GENSCAN, these genes were located on responsible chromosomes with 131 genes on the long arms of the chromosomes. The cluster and generalization analyses showed that the gene expression profiles are similar in 2 and 4, 12 and 16, 96 and 144 h respectively after PH, suggesting that the actions of the genes expressed in the same profiles are similar, and those expressed in different profiles have less similarity. However, the types, characteristics and functions of the 177 genes remain to be further studied.
- Subjects :
- Time Factors
Letter
Microarray
complementary DNA microarray
Partial hepatectomy
Biology
liver regeneration (LR)
Biochemistry
Rats, Sprague-Dawley
Gene expression
Genetics
Animals
RNA, Messenger
Partial hepatectomy (PH)
Gene
Molecular Biology
Expressed Sequence Tags
cDNA library
Gene Expression Profiling
Regeneration (biology)
Chromosome Mapping
Sequence Analysis, DNA
Molecular biology
Liver regeneration
Liver Regeneration
Rats
subtracted cDNA libraries
Computational Mathematics
Rat liver
cluster analysis
Subjects
Details
- ISSN :
- 16720229
- Volume :
- 2
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Genomics, Proteomics & Bioinformatics
- Accession number :
- edsair.doi.dedup.....34ed18a56fbf6c5db0c3c9df7cd8d3eb
- Full Text :
- https://doi.org/10.1016/s1672-0229(04)02016-9