Literature DB >> 7590274

Rat intestinal crypt-cell replication factor with homology to early S-phase proteins required for cell division.

D E Sykes1, M M Weiser.   

Abstract

Cell proliferation requires inhibitory and permissive factors to monitor cell-cycle progression and control DNA replication. The small intestine has a high rate of proliferation and a very low incidence of cancer, suggestive of efficient mechanisms for control of the cell cycle and assuring fidelity of DNA replication. We have isolated a cDNA from a rat crypt-cell library which hybridized to a 3.0-kb mRNA specific for crypt cells, the proliferative cell compartment of the intestine. Its amino-acid sequence indicates that it is a new member of a family of replication proteins found in yeast, Cenorhabditis elegans, mouse and humans. Its transcripts were markedly increased in fetal rat intestine and liver, decreased in long-term confluent and serum-starved tissue culture cells (IEC cells, a cell line derived from rat crypt cells), increased with serum repletion as cells resumed proliferation, and appeared to be species specific. Isolation and functional characterization of small intestinal crypt-cell replication factors should help explain this organ's low incidence of cancer.

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Year:  1995        PMID: 7590274     DOI: 10.1016/0378-1119(95)00297-j

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  3 in total

1.  Transcriptional regulation of the lactase-phlorizin hydrolase gene by polymorphisms associated with adult-type hypolactasia.

Authors:  M Kuokkanen; N S Enattah; A Oksanen; E Savilahti; A Orpana; I Järvelä
Journal:  Gut       Date:  2003-05       Impact factor: 23.059

2.  Characterization of genes modulated during pheomelanogenesis using differential display.

Authors:  M Furumura; C Sakai; S B Potterf; W D Vieira; G S Barsh; V J Hearing
Journal:  Proc Natl Acad Sci U S A       Date:  1998-06-23       Impact factor: 11.205

3.  A microarray study of MPP+-treated PC12 Cells: Mechanisms of toxicity (MOT) analysis using bioinformatics tools.

Authors:  Zengjun Xu; Tucker A Patterson; Jonathan D Wren; Tao Han; Leming Shi; Helen Duhart; Syed F Ali; William Slikker
Journal:  BMC Bioinformatics       Date:  2005-07-15       Impact factor: 3.169

  3 in total

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