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Updated: Sep 24, 2025

3D Multicolor DNA FISH Tool to Study Nuclear Architecture in Human Primary Cells
Published on: January 25, 2020
The 4D Nucleome Data Portal as a resource for searching and visualizing curated nucleomics data
Sarah B Reiff1, Andrew J Schroeder1, Koray Kırlı1
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA, 02115, USA.
The 4D Nucleome Network developed a data portal to share chromosome organization and nuclear architecture data. This resource provides access to over 1800 experiments, aiding disease biology research.
Area of Science:
- Genomics
- Molecular Biology
- Cell Biology
Background:
- The 4D Nucleome (4DN) Network investigates the three-dimensional (3D) organization of chromosomes within the cell nucleus.
- Understanding nuclear architecture is crucial for elucidating gene regulation and disease mechanisms.
Purpose of the Study:
- To introduce the 4DN Data Portal, a centralized repository for 4DN Network data and related external datasets.
- To provide researchers with a comprehensive resource for exploring chromosome structure and nuclear organization.
Main Methods:
- The portal aggregates data from diverse experimental techniques, including chromosome conformation capture (e.g., Hi-C), sequencing, and microscopy.
- Data undergoes uniform processing and quality control for consistency across different laboratories.
- Integrated tools like the HiGlass genome browser facilitate visualization and comparison of multiple datasets.
Main Results:
- The 4DN Data Portal hosts over 1800 experiment sets and 36,000 files.
- Uniform processing ensures reliable analysis of sequencing-based assay results.
- The portal offers user-friendly browsing, filtering, and bulk download capabilities.
Conclusions:
- The 4DN Data Portal serves as a vital resource for the scientific community studying chromosome conformation and nuclear architecture.
- It facilitates research into the impact of nuclear organization disruptions in disease biology.
- The portal promotes data accessibility and collaborative research in the field of 3D genomics.
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