Publications by authors named "J GERTZ"

Endocrine therapies targeting the estrogen receptor (ER/ESR1) are the cornerstone to treat ER-positive breast cancers patients, but resistance often limits their effectiveness. Notable progress has been made although the fragmented way data is reported has reduced their potential impact. Here, we introduce EstroGene2.

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Nuclear receptors are important in normal physiology and disease. Physicians and scientists who study nuclear receptors organize and attend conferences and symposia devoted to foundational and translational nuclear receptor research, but the field lacks a platform for early-stage investigators and aspiring leaders. In 2019, Zeynep Madak-Erdogan, Rebecca Riggins, and Matthew Sikora founded Nuclear Receptor (NR) Interdisciplinary Meeting for Progress And Collaboration Together (IMPACT, https://nrimpact.

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Cancer genomes are composed of many complex structural alterations on chromosomes and extrachromosomal DNA (ecDNA), making it difficult to identify non-coding enhancer regions that are hijacked to activate oncogene expression. Here, we describe a 3D genomics-based analysis called HAPI (Highly Active Promoter Interactions) to characterize enhancer hijacking. HAPI analysis of HiChIP data from 34 cancer cell lines identified enhancer hijacking events that activate both known and potentially novel oncogenes such as MYC, CCND1, ETV1, CRKL, and ID4.

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Article Synopsis
  • - Understanding how estrogen receptor (ER)-targeting therapies work and why some breast cancer patients develop resistance is crucial for improving treatment options and developing new drugs.
  • - The EstroGene2.0 database, a significant update from its previous version, offers an extensive collection of data focused on breast cancer responses to endocrine therapies, incorporating results from 361 experiments across various cell lines.
  • - Analysis of the data shows notable variability in how different ER-modulators affect cancer cells, revealing unique transcriptomic changes in endocrine-resistant models and highlighting important mutant-ER targets for further investigation.
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Transcriptional enhancers can regulate individual or multiple genes through long-range three-dimensional (3D) genome interactions, and these interactions are commonly altered in cancer. Yet, the functional relationship between changes in 3D interactions associated with regulatory regions and differential gene expression appears context-dependent. In this study, we used HiChiP to capture changes in 3D genome interactions between active regulatory regions of endometrial cancer cells in response to estrogen treatment and uncovered significant differential long-range interactions that are strongly enriched for estrogen receptor α (ER) bound sites (ERBS).

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