Dna Microarray
Screening for genes that are differentially-expressed between gastric cancer cells and gastric tumor sphere cells using the gene chip technique
Authors: W.H. Shi, Y.B. Yu, Z.-Y. Li, X.-C. Guo, Z.-L. Wei and Z.-H. Zheng
The purpose of this study was to screen for genes that were differentially expressed between a human gastric carcinoma cell line (HGC-27) and their tumor spheres, using the gene chip technique. The HGC-27 cells and tumor sphere cells were cultured in vitro in a sterile environment. Total RNA was extracted from both sa.. Read More»
- Genet. Mol. Res. 14(4):
- 2015.November.18.54
- DOI:
- 10.4238/2015.November.18.54
Optimal clone identifier for genomic shotgun libraries: â??OC Identifier toolâ?
Authors: Cantao ME, Ferreira JE and Lemos EGM
In DNA microarray experiments, the gene fragments that are spotted on the slides are usually obtained by the synthesis of specific oligonucleotides that are able to amplify genes through PCR. Shotgun library sequences are an alternative to synthesis of primers for the study of each gene in the genome. The possibility of puttin.. Read More»
- Genet. Mol. Res. 6(4):
Screening and identification of peritoneal metastasis-related genes of gastric adenocarcinoma using a cDNA microarray
Authors: F.H. Bai, N.J. Wang, J. Wang, L. Yang, F.M. Zhang, F. Yin, J. Liang, K.C. Wu and D.M. Fan
With the aim of identifying peritoneal metastasis-related genes in gastric cancer, we performed a broad analysis of differential gene expression between the parental cell line GC9811 and its highly metastatic peritoneal counterpart, cell line GC9811-P. Two fluorescent cDNA probes, labeled with Cy3 and Cy5 dyes, were prepared f.. Read More»
- Genet. Mol. Res. 11(2):
- 2012.June.25.1
- DOI:
- 10.4238/2012.June.25.1
An improved K-means clustering method for cDNA microarray image segmentation
Authors: T.N. Wang, T.J. Li, G.F. Shao and S.X. Wu
Microarray technology is a powerful tool for human genetic research and other biomedical applications. Numerous improvements to the standard K-means algorithm have been carried out to complete the image segmentation step. However, most of the previous studies classify the image into two clusters. In this paper, we propose a novel K-means algorithm, which .. Read More»
- Genet. Mol. Res. 14(3):
- 2015.July.14.3
- DOI:
- 10.4238/2015.July.14.3