TY - JOUR
T1 - Hormone-regulated transcriptomes
T2 - Lessons learned from estrogen signaling pathways in breast cancer cells
AU - Hah, Nasun
AU - Kraus, W. Lee
N1 - Funding Information:
The authors would like to thank members of the Kraus lab for providing critical comments on the review. The work in the lab of W.L.K. is supported by grants from the NIH/NIDDK and the Texas Cancer Prevention and Research Institute of Texas.
PY - 2014/1/25
Y1 - 2014/1/25
N2 - Recent rapid advances in next generation sequencing technologies have expanded our understanding of steroid hormone signaling to a genome-wide level. In this review, we discuss the use of a novel genomic approach, global nuclear run-. on coupled with massively parallel sequencing (GRO-seq), to explore new facets of the steroid hormone-regulated transcriptome, especially estrogen responses in breast cancer cells. GRO-seq is a high throughput sequencing method adapted from conventional nuclear run-on methodologies, which is used to obtain a map of the position and orientation of all transcriptionally engaged RNA polymerases across the genome with extremely high spatial resolution. GRO-seq, which is an excellent tool for examining transcriptional responses to extracellular stimuli, has been used to comprehensively assay the effects of estrogen signaling on the transcriptome of ERα-positive MCF-7 human breast cancer cells. These studies have revealed new details about estrogen-dependent transcriptional regulation, including effects on transcription by all three RNA polymerases, complex transcriptional dynamics in response to estrogen signaling, and identification novel, unannotated non-coding RNAs. Collectively, these studies have been useful in discerning the molecular logic of the estrogen-regulated mitogenic response.
AB - Recent rapid advances in next generation sequencing technologies have expanded our understanding of steroid hormone signaling to a genome-wide level. In this review, we discuss the use of a novel genomic approach, global nuclear run-. on coupled with massively parallel sequencing (GRO-seq), to explore new facets of the steroid hormone-regulated transcriptome, especially estrogen responses in breast cancer cells. GRO-seq is a high throughput sequencing method adapted from conventional nuclear run-on methodologies, which is used to obtain a map of the position and orientation of all transcriptionally engaged RNA polymerases across the genome with extremely high spatial resolution. GRO-seq, which is an excellent tool for examining transcriptional responses to extracellular stimuli, has been used to comprehensively assay the effects of estrogen signaling on the transcriptome of ERα-positive MCF-7 human breast cancer cells. These studies have revealed new details about estrogen-dependent transcriptional regulation, including effects on transcription by all three RNA polymerases, complex transcriptional dynamics in response to estrogen signaling, and identification novel, unannotated non-coding RNAs. Collectively, these studies have been useful in discerning the molecular logic of the estrogen-regulated mitogenic response.
KW - Breast cancer cells
KW - Estrogen
KW - Estrogen receptor
KW - GRO-seq
KW - Non-coding RNA
KW - Transcriptome
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U2 - 10.1016/j.mce.2013.06.021
DO - 10.1016/j.mce.2013.06.021
M3 - Article
C2 - 23810978
AN - SCOPUS:84888363048
SN - 0303-7207
VL - 382
SP - 652
EP - 664
JO - Molecular and Cellular Endocrinology
JF - Molecular and Cellular Endocrinology
IS - 1
ER -