Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Chromosome conformation capture (3C) assays are used to map chromatin interactions genome-wide. Chromatin interaction maps provide insights into the spatial organization of chromosomes and the mechanisms by which they fold. Hi-C and Micro-C are widely used 3C protocols that differ in key experimental parameters including cross-linking chemistry and chromatin fragmentation strategy. To understand how the choice of experimental protocol determines the ability to detect and quantify aspects of chromosome folding we have performed a systematic evaluation of 3C experimental parameters. We identified optimal protocol variants for either loop or compartment detection, optimizing fragment size and cross-linking chemistry. We used this knowledge to develop a greatly improved Hi-C protocol (Hi-C 3.0) that can detect both loops and compartments relatively effectively. In addition to providing benchmarked protocols, this work produced ultra-deep chromatin interaction maps using Micro-C, conventional Hi-C and Hi-C 3.0 for key cell lines used by the 4D Nucleome project.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8446342PMC
http://dx.doi.org/10.1038/s41592-021-01248-7DOI Listing

Publication Analysis

Top Keywords

systematic evaluation
8
chromosome conformation
8
conformation capture
8
capture assays
8
chromatin interaction
8
interaction maps
8
experimental parameters
8
cross-linking chemistry
8
hi-c
5
evaluation chromosome
4

Similar Publications

Applications of Federated Large Language Model for Adverse Drug Reactions Prediction: Scoping Review.

J Med Internet Res

September 2025

Department of Information Systems and Cybersecurity, The University of Texas at San Antonio, 1 UTSA Circle, San Antonio, TX, 78249, United States, 1 (210) 458-6300.

Background: Adverse drug reactions (ADR) present significant challenges in health care, where early prevention is vital for effective treatment and patient safety. Traditional supervised learning methods struggle to address heterogeneous health care data due to their unstructured nature, regulatory constraints, and restricted access to sensitive personal identifiable information.

Objective: This review aims to explore the potential of federated learning (FL) combined with natural language processing and large language models (LLMs) to enhance ADR prediction.

View Article and Find Full Text PDF

Background: Mental and behavioral disorders affect approximately 28% of the adult population in Germany per year, with treatment being provided through a diverse health care system. Yet there are access and capacity problems in outpatient mental health care. One innovation that could help reduce these barriers and improve the current state of care is the use of mobile health (mHealth) apps, known in Germany as Digitale Gesundheitsanwendungen (DiGA).

View Article and Find Full Text PDF

Background: Primary liver cancer, particularly hepatocellular carcinoma (HCC), poses significant clinical challenges due to late-stage diagnosis, tumor heterogeneity, and rapidly evolving therapeutic strategies. While systematic reviews and meta-analyses are essential for updating clinical guidelines, their labor-intensive nature limits timely evidence synthesis.

Objective: This study proposes an automated literature screening workflow powered by large language models (LLMs) to accelerate evidence synthesis for HCC treatment guidelines.

View Article and Find Full Text PDF

Seven candidate interventions to address abuse of older people.

Age Ageing

August 2025

Department of Social Determinants of Health, Division of Healthier Populations, World Health Organization, Geneva, Switzerland.

The Abuse of Older People - Intervention Accelerator (AOP-IA) project aims to accelerate the development of effective interventions to prevent and reduce AOP aged 60 and older within the framework of the United Nations Decade of Healthy Ageing (2021-2030). The AOP-IA was launched in response to the global need for interventions with proven effectiveness, as few existing approaches have been rigorously evaluated. This paper focuses on the first two phases of the AOP-IA project, which involved conducting a systematic search, screening and evaluation process to identify candidate interventions ready to be rigorously evaluated in future stages of the project, as well as establishing a network of intervention developers.

View Article and Find Full Text PDF

Robotic-Assisted Versus Manual Total Hip Arthroplasty Performed for Hip Dysplasia.

J Am Acad Orthop Surg

September 2025

From the Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY (Neitzke, O'Donnell, Buchalter, Chandi, Westrich, and Gausden), the Department of Orthopedic Surgery, University of Wisconsin-Madison, Madison, WI (O'Donnell), and Somers Orthopaedic Surgery & Sports Medicine Group

Introduction: Developmental dysplasia of the hip (DDH) poses challenges for component positioning during total hip arthroplasty (THA) secondary to abnormal bone morphology, soft-tissue contractures, and hip center migration. The objective of this study was to evaluate the radiographic and clinical outcomes of THA for DDH performed with robotic assistance versus manual (M) technique.

Methods: A retrospective review identified 115 patients with Crowe II to IV dysplasia undergoing primary THA at a single institution from 2016 to 2022.

View Article and Find Full Text PDF