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Series GSE64367 Query DataSets for GSE64367
Status Public on Apr 08, 2016
Title Epigenomic profiling reveals the key function of histone H3K9 methylation during tumor transformation process
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary To understand transcriptome and epigenome profilings alteration during breast cancer initiation and development, we constructed a in vitro breast cancer transformation model. And then, we use mRNA-Seq to uncover differential expression genes during breast cancer transformation process. For epigenomic profilings, we specificly analysis genome wide H3K9me2, H3K9me3,H3K4me3 and H3K27me3 modifications using ChIP-Seq. We found that H3K9 di and tri methylation decrease both in vitro breast cancer cell transformation model and in vivo clinical samples. Further more, we found KDM3A, a demethylase for H3K9 mono and di methylation, increase during the breast cancer model transformation process and clinical samples. KDM3A deficiency impairs the growth of those transformed cell lines and its overexpression promotes tumor formation.
 
Overall design To study the underlying mechanisms of breast cancer transformation, we utilized a cell based cell transformation model. Large T antigen, TERT and HRAS(V12) were transfected into purchased primary breast cell, respectively. Four cell lines were used for the following study, named as HMC-p6 (breast primary cell passage 6), HMC-L (breast primary cell with stable large T expression), HMC-LT (breast primary cell with large T and TERT) and HMC-LTR (breast primary cell with large T, TERT and HRAS (V12)). HMC-p6 cell is a normal breast primary cell, and we proved HMC-LTR is a cancer cell by using colony formation and nude mouse tumor formation assay. And then, we performed mRNA-Seq and ChIP-Seq in those four cell lines using standard Illumina TruSeq Kit as the manufaturer's suggested. For KDM3A function analysis, we performed knockdown of KDM3A in L.T and L.T.R by using shRNA and siRNA, respectively. NC stands for negative control, briefly, for shRNA we used shGFP as control and for siRNA we used negative control RNA.
 
Contributor(s) Zhao Q, Lei P
Citation(s) 27034728
Submission date Dec 19, 2014
Last update date May 15, 2019
Contact name Pin-Ji Lei
E-mail(s) leipinji@gmail.com
Organization name Massachusetts General Hospital
Department Department of Radiation Oncology
Lab Edwin L. Steele Laboratories
Street address 100 Blossom Street
City Boston
State/province Massachusetts
ZIP/Postal code 02114
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (34)
GSM1569554 HMC_P6_RNASeq
GSM1569555 HMC_L_RNASeq
GSM1569556 HMC_L.T_RNASeq
Relations
BioProject PRJNA270845
SRA SRP051380

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE64367_RAW.tar 368.6 Mb (http)(custom) TAR (of TXT, WIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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