Ectopic protein interactions within BRD4-chromatin complexes drive oncogenic megadomain formation in NUT midline carcinoma
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Authors: Alekseyenko, Artyom A.; Walsh, Erica M.; Zee, Barry M.; Pakozdi, Tibor; Hsi, Peter; Lemieux, Madeleine E.; Dal Cin, Paola; Ince, Tan A.; Kharchenko, Peter V.; Kuroda, Mitzi I.; French, Christopher A.
Abstract
To investigate the mechanism that drives dramatic mistargeting of active chromatin in NUT midline carcinoma (NMC), we have identified protein interactions unique to the BRD4-NUT fusion oncoprotein compared with wild-type BRD4. Using cross-linking, affinity purification, and mass spectrometry, we identified the EP300 acetyltransferase as uniquely associated with BRD4 through the NUT fusion in both NMC and non-NMC cell types. We also discovered ZNF532 associated with BRD4-NUT in NMC patient cells but not detectable in 293T cells. EP300 and ZNF532 are both implicated in feed-forward regulatory loops leading to propagation of the oncogenic chromatin complex in BRD4-NUT patient cells. Adding key functional significance to our biochemical findings, we independently discovered a ZNF532-NUT translocation fusion in a newly diagnosed NMC patient. ChIP sequencing of the major players NUT, ZNF532, BRD4, EP300, and H3K27ac revealed the formation of ZNF532-NUT-associated hyperacetylated megadomains, distinctly localized but otherwise analogous to those found in BRD4NUT patient cells. Our results support a model in which NMC is dependent on ectopic NUT-mediated interactions between EP300 and components of BRD4 regulatory complexes, leading to a cascade of misregulation.
The phenotype-driven computational analysis yields clinical diagnosis for patients with atypical manifestations of known intellectual disability syndromes
MOLECULAR GENETICS & GENOMIC MEDICINE
Authors: Jezela-Stanek, Aleksandra; Ciara, Elzbieta; Jurkiewicz, Dorota; Kucharczyk, Marzena; Jedrzejowska, Maria; Chrzanowska, Krystyna H.; Krajewska-Walasek, Malgorzata; Zemojtel, Tomasz
Abstract
Background Due to extensive clinical and genetic heterogeneity of intellectual disability (ID) syndromes, the process of diagnosis is very challenging even for expert clinicians. Despite recent advancements in molecular diagnostics methodologies, a significant fraction of ID patients remains without a clinical diagnosis. Methods, results, and conclusions Here, in a prospective study on a cohort of 21 families (trios) with a child presenting with ID of unknown etiology, we executed phenotype-driven bioinformatic analysis method, PhenIX, utilizing targeted next-generation sequencing (NGS) data and Human Phenotype Ontology (HPO)-encoded phenotype data. This approach resulted in clinical diagnosis for eight individuals presenting with atypical manifestations of Rubinstein-Taybi syndrome 2 (MIM 613684), Spastic Paraplegia 50 (MIM 612936), Wiedemann-Steiner syndrome (MIM 605130), Cornelia de Lange syndrome 2 (MIM 300590), Cerebral creatine deficiency syndrome 1 (MIM 300352), Glass Syndrome (MIM 612313), Mental retardation, autosomal dominant 31 (MIM 616158), and Bosch-Boonstra-Schaaf optic atrophy syndrome (MIM 615722).