Study of dCTCF Insulator Activity in Drosophilamelanogaster Model Systems.

Dokl Biochem Biophys

Institute of Gene Biology, Russian Academy of Sciences, 119334, Moscow, Russia.

Published: May 2019

Using transgenic Drosophila model systems, we showed that four binding sites for the architectural protein dCTCF per se cannot form an effective insulator that blocks enhancers and protects against the Polycomb-dependent repression. These results suggest that, in the known Drosophila insulators, the dCTCF protein functions in cooperation with other architectural proteins.

Download full-text PDF

Source
http://dx.doi.org/10.1134/S1607672919030074DOI Listing

Publication Analysis

Top Keywords

model systems
8
study dctcf
4
dctcf insulator
4
insulator activity
4
activity drosophilamelanogaster
4
drosophilamelanogaster model
4
systems transgenic
4
transgenic drosophila
4
drosophila model
4
systems binding
4

Similar Publications

Introduction: Prior research shows that in-person exposure to electronic nicotine delivery systems (ENDS) use increases desire for cigarettes and ENDS. However, less is known about the impact of cues delivered during remote interactions. This study extends previous in-person cue work by leveraging a remote confederate-delivered cue-delivery paradigm to evaluate the impact of dual nicotine vaping (vs.

View Article and Find Full Text PDF

Background: This study aimed to provide a comprehensive review of adverse events (AEs) associated with factor Xa (FXa) inhibitors in pediatric patients.

Methods: We searched PubMed, Embase, Cochrane Library, ClinicalTrials.gov, and the European Union Clinical Trials Register for English-language records from the establishment of the database up to October 17, 2023.

View Article and Find Full Text PDF

Purpose: To assess the efficacy and safety of PreserFlo MicroShunt (PMS) combined with mitomycin C in patients with medically treated primary open-angle glaucoma (POAG).

Study Design: A retrospective observational study.

Methods: The study examined 83 eyes from 83 patients with medically treated glaucoma surgery naive POAG.

View Article and Find Full Text PDF

A prediction model for electrical strength of gaseous medium based on molecular reactivity descriptors and machine learning method.

J Mol Model

January 2025

Hubei Key Laboratory·for High-Efficiency-Utilization of Solar Energy and Operation, Control of Energy-Storage System, Hubei-University of Technology, Wuhan, 430068, China.

Context: Ionization and adsorption in gas discharge are similar to electrophilic and nucleophilic reactions. The molecular descriptors characterizing reactions such as electrostatic potential descriptors are useful in predicting the electrical strength of environmentally friendly gases. In this study, descriptors of 73 molecules are employed for correlation analysis with electrical strength.

View Article and Find Full Text PDF

Objectives: To investigate the clinical and laboratory features of Sjögren's syndrome-associated autoimmune liver disease (SS-ALD) patients and identify potential risk and prognostic factors.

Methods: SS patients with or without ALD, who visited Tongji Hospital between the years 2011 and 2021 and met the 2012 American College of Rheumatology (ACR) classification criteria for Sjögren's syndrome, were retrospectively enrolled. The clinical and laboratory data of the enrolled patients, including autoimmune antibodies, were collected and analyzed with principal component analysis, correlation analysis, LASSO regression, and Cox regression.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!