Single‐Cell Hi‐C Technologies and Computational Data Analysis

Abstract: Single‐cell chromatin conformation capture (scHi‐C) techniques have evolved to provide significant insights into the structural organization and regulatory mechanisms in individual cells. Although many scHi‐C protocols have been developed, they often involve intricate procedures and the resulting data are sparse, leading to computational challenges for systematic data analysis and limited applicability. This review provides a comprehensive overview, quantitative evaluation of thirteen protocols and practical guidance on computational topics. It is first assessed the efficiency of these protocols based on the total number of contacts recovered per cell and the cis/trans ratio. It is then provided systematic considerations for scHi‐C quality control and data imputation. Additionally, the capabilities and implementations of various analysis methods, covering cell clustering, A/B compartment calling, topologically associating domain (TAD) calling, loop calling, 3D reconstruction, scHi‐C data simulation and differential interaction analysis is summarized. It is further highlighted key computational challenges associated with the specific complexities of scHi‐C data and propose potential solutions.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Single‐Cell Hi‐C Technologies and Computational Data Analysis ; day:30 ; month:01 ; year:2025 ; extent:20
Advanced science ; (30.01.2025) (gesamt 20)

Urheber
Dautle, Madison A.
Chen, Yong

DOI
10.1002/advs.202412232
URN
urn:nbn:de:101:1-2501311305579.661577111407
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:35 MESZ

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Beteiligte

  • Dautle, Madison A.
  • Chen, Yong

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