Meta-analysis of integrated ChIP-seq and transcriptome data revealed genomic regions affected by estrogen receptor alpha in breast cancer
Abstract Background The largest group of patients with breast cancer are estrogen receptor-positive (ER+) type. The estrogen receptor acts as a transcription factor and triggers cell proliferation and differentiation. Hence, investigating ER-DNA interaction genomic regions can help identify genes di...
Saved in:
Main Authors: | Zeynab Piryaei (Author), Zahra Salehi (Author), Esmaeil Ebrahimie (Author), Mansour Ebrahimi (Author), Kaveh Kavousi (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2023-09-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Active Enhancer Assessment by H3K27ac ChIP-seq Reveals Claudin-1 as a Biomarker for Radiation Resistance in Colorectal Cancer
by: Zu-Xuan Chen MD, et al.
Published: (2021) -
Transcriptomic and ChIP-sequence interrogation of EGFR signaling in HER2+ breast cancer cells reveals a dynamic chromatin landscape and S100 genes as targets
by: Miguel Nava, et al.
Published: (2019) -
RNA-seq analysis reveals significant transcriptome changes in huntingtin-null human neuroblastoma cells
by: Johanna Bensalel, et al.
Published: (2021) -
Integration of ATAC-seq and RNA-seq identifies human alpha cell and beta cell signature genes
by: Amanda M. Ackermann, et al.
Published: (2016) -
The BabySeq project: implementing genomic sequencing in newborns
by: Ingrid A. Holm, et al.
Published: (2018)