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Related Experiment Video

Updated: Jun 29, 2025

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

scGHOST: identifying single-cell 3D genome subcompartments.

Kyle Xiong¹, Ruochi Zhang^1,2, Jian Ma³

¹Ray and Stephanie Lane Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.

|April 8, 2024

Summary

This summary is machine-generated.

scGHOST annotates single-cell 3D genome subcompartments, revealing cell-to-cell variability in nuclear organization. This method provides insights into gene transcription and functional implications across diverse biological contexts.

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Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Area of Science:

Genomics
Epigenetics
Computational Biology

Background:

Single-cell Hi-C (scHi-C) enables analysis of 3D genome organization variability.
Existing computational methods identify features like compartments and loops but not subcompartments.
Annotating single-cell subcompartments is crucial for understanding chromosome spatial organization.

Purpose of the Study:

To develop a computational method for annotating single-cell 3D genome subcompartments.
To enable the study of cell-to-cell variability in nuclear architecture.
To link single-cell subcompartments to gene transcription and functional genomics.

Main Methods:

scGHOST utilizes graph embedding with constrained random walk sampling.
The method is applied to scHi-C data and 3D genome imaging contact maps.
Analysis involves identifying cell-type-specific and allele-specific subcompartments.

Main Results:

scGHOST reliably identifies single-cell subcompartments from scHi-C data.
The method reveals cell-to-cell variability in nuclear subcompartment organization.
scGHOST links subcompartments to gene transcription in various cell types and developmental stages.

Conclusions:

scGHOST is an effective tool for single-cell 3D genome subcompartment annotation.
The findings highlight the functional significance of single-cell subcompartments.
This method advances the understanding of nuclear organization heterogeneity.