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Updated: May 20, 2026

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
Published on: May 6, 2010
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Hi-C calibration by chemically induced chromosomal interactions.
Yi Li1,2, Christoph W A Fischer3,4, Fan Zou4,5
1Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA. yili452@tsinghua.edu.cn.
EMBO Reports
|April 14, 2026
Summary
Hi-C analysis reveals its sensitivity and linearity in detecting genome organization. This study calibrates the Hi-C assay for accurate measurement of chromosomal interactions.
Area of Science:
- Genomics
- Molecular Biology
- Biophysics
Background:
- Hi-C is a powerful tool for studying genome organization.
- Assessing Hi-C's quantitative properties like sensitivity and bias is challenging in vivo.
- The dynamic nature of chromosomal interactions complicates in vivo measurements.
Purpose of the Study:
- To quantitatively assess the sensitivity, bias, and linearity of the Hi-C assay.
- To establish a robust framework for calibrating Hi-C data.
- To understand the relationship between static chromosomal interactions and genome organization.
Main Methods:
- Chemically Induced Chromosomal Interaction (CICI) method was used to create stable interactions in yeast.
- Hi-C analysis was performed on engineered G1-phase budding yeast populations.
- Analysis focused on intra- and inter-chromosomal interactions across varying contact frequencies.
Main Results:
- Static intra-chromosomal loops do not form TADs but promote local 3D proximity (10-60 kb).
- Hi-C can detect interactions present in 5-10% of cells at moderate sequencing depths.
- The Hi-C assay shows no bias towards intra- vs. inter-chromosomal interactions.
- A linear relationship was observed between Hi-C signal intensity and contact frequency.
Conclusions:
- Hi-C is sensitive and quantitative, with a linear response to contact frequency.
- The study provides a framework for calibrating Hi-C data for more accurate genome organization studies.
- Findings clarify the intrinsic properties of Hi-C, aiding interpretation of genome conformation data.
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