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Exome Sequencing of Normal and Isogenic Transformed Human Colonic Epithelial Cells (HCECs) Reveals Novel Genes Potentially Involved in the Early Stages of Colorectal Tumorigenesis

Overview of attention for article published in BMC Genomics, January 2015
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Title
Exome Sequencing of Normal and Isogenic Transformed Human Colonic Epithelial Cells (HCECs) Reveals Novel Genes Potentially Involved in the Early Stages of Colorectal Tumorigenesis
Published in
BMC Genomics, January 2015
DOI 10.1186/1471-2164-16-s1-s8
Pubmed ID
Authors

Lu Zhang, Sang Bum Kim, Gaoxiang Jia, Abdelbaset Buhmeida, Ashraf Dallol, Woodring E Wright, Albert J Fornace, Mohammed Al-Qahtani, Jerry W Shay

Abstract

We have generated a series of isogenically derived immortalized human colonic epithelial cell (HCEC 1CT and HCEC 2CT) lines, including parental un-immortalized normal cell strains. The CDK4 and hTERT immortalized colonic epithelial cell line (HCEC 1CT) is initially karyotypically normal diploid and expresses a series of epithelial cell markers including stem cell markers. Under stressful tissue culture conditions, a spontaneous aneuploidy event occurred in the HCEC 1CT line, resulting in a single chromosomal change leading to a stable trisomy 7 cell line (1CT7). Trisomy 7 occurs in about 40% of all benign human adenomas (polyps) and thus this specific chromosomal change in diploid HCEC 1CT cells appears to be non random. In addition, we have partially transformed the HCEC 1CT line by introducing stable knockdown of wild type APC and TP53, and ectopically introducing a mutant Kras(v12) and a mutant version of APC (A1309), all commonly found mutations in colorectal cancer (CRC).

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Student > Bachelor 6 15%
Student > Ph. D. Student 6 15%
Researcher 4 10%
Student > Doctoral Student 1 3%
Other 4 10%
Unknown 11 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 33%
Agricultural and Biological Sciences 6 15%
Medicine and Dentistry 6 15%
Engineering 2 5%
Unknown 13 33%