Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Gene Expression Profiles of tumor sorted fractions demarcating genetic instability using DNA-RNA content based cell cycle analysis in ovarian cancer xenograft tumor


ABSTRACT: Our earlier report states role of genetic instability and aneuploid cells in drug resistance and tumor recurrence. Hence segregating tumor based on DNA content is a good model to study genetic in stability. We have earlier reported isolation of cell line (A4T) from a patient with Grade IV serous adenocarcinoma (Bapat et al. Cancer Research. 2005). Xenograft generated by injecting A4T cells in NOD/SCID mice exhibited genetic instability (Kusumbe and Bapat Cancer Research. 2009; Naik et.al Oncogene 2015). We generated xenograft by injecting 2.5x106 A4T P65 s.c in NOD/SCID mice. Mice were observed for tumor formation and tumors were harvested at day 28 (4 weeks) and processed for collagenase digestion for preparation of single cell suspension. Further cells were subjected to staining with

ORGANISM(S): Homo sapiens

SUBMITTER: Sharmila Bapat 

PROVIDER: E-GEOD-74852 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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