Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential

Reconstructing three-dimensional (3D) chromosomal structures based on single-cell Hi-C data is a challenging scientific problem due to the extreme sparseness of the single-cell Hi-C data. In this research, we used the Lennard-Jones potential to reconstruct both 500 kb and high-resolution 50 kb chrom...

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Main Authors: Mengsheng Zha, Nan Wang, Chaoyang Zhang, Zheng Wang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/22/11/5914
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author Mengsheng Zha
Nan Wang
Chaoyang Zhang
Zheng Wang
author_facet Mengsheng Zha
Nan Wang
Chaoyang Zhang
Zheng Wang
author_sort Mengsheng Zha
collection DOAJ
description Reconstructing three-dimensional (3D) chromosomal structures based on single-cell Hi-C data is a challenging scientific problem due to the extreme sparseness of the single-cell Hi-C data. In this research, we used the Lennard-Jones potential to reconstruct both 500 kb and high-resolution 50 kb chromosomal structures based on single-cell Hi-C data. A chromosome was represented by a string of 500 kb or 50 kb DNA beads and put into a 3D cubic lattice for simulations. A 2D Gaussian function was used to impute the sparse single-cell Hi-C contact matrices. We designed a novel loss function based on the Lennard-Jones potential, in which the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula> value, i.e., the well depth, was used to indicate how stable the binding of every pair of beads is. For the bead pairs that have single-cell Hi-C contacts and their neighboring bead pairs, the loss function assigns them stronger binding stability. The Metropolis–Hastings algorithm was used to try different locations for the DNA beads, and simulated annealing was used to optimize the loss function. We proved the correctness and validness of the reconstructed 3D structures by evaluating the models according to multiple criteria and comparing the models with 3D-FISH data.
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spelling doaj.art-b4f4d05d6c514c53b85b53578e6eb77d2023-11-21T22:15:08ZengMDPI AGInternational Journal of Molecular Sciences1661-65961422-00672021-05-012211591410.3390/ijms22115914Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones PotentialMengsheng Zha0Nan Wang1Chaoyang Zhang2Zheng Wang3School of Computing Sciences and Computer Engineering, University of Southern Mississippi, 118 College Dr, Hattiesburg, MS 39406, USADepartment of Computer Science, New Jersey City University, 2039 Kennedy Blvd, Jersey City, NJ 07305, USASchool of Computing Sciences and Computer Engineering, University of Southern Mississippi, 118 College Dr, Hattiesburg, MS 39406, USADepartment of Computer Science, University of Miami, 1364 Memorial Drive, Coral Gables, FL 33124, USAReconstructing three-dimensional (3D) chromosomal structures based on single-cell Hi-C data is a challenging scientific problem due to the extreme sparseness of the single-cell Hi-C data. In this research, we used the Lennard-Jones potential to reconstruct both 500 kb and high-resolution 50 kb chromosomal structures based on single-cell Hi-C data. A chromosome was represented by a string of 500 kb or 50 kb DNA beads and put into a 3D cubic lattice for simulations. A 2D Gaussian function was used to impute the sparse single-cell Hi-C contact matrices. We designed a novel loss function based on the Lennard-Jones potential, in which the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ε</mi></semantics></math></inline-formula> value, i.e., the well depth, was used to indicate how stable the binding of every pair of beads is. For the bead pairs that have single-cell Hi-C contacts and their neighboring bead pairs, the loss function assigns them stronger binding stability. The Metropolis–Hastings algorithm was used to try different locations for the DNA beads, and simulated annealing was used to optimize the loss function. We proved the correctness and validness of the reconstructed 3D structures by evaluating the models according to multiple criteria and comparing the models with 3D-FISH data.https://www.mdpi.com/1422-0067/22/11/59143D genomesingle-cell Hi-C3D chromosomal structureLennard-Jones potential
spellingShingle Mengsheng Zha
Nan Wang
Chaoyang Zhang
Zheng Wang
Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential
International Journal of Molecular Sciences
3D genome
single-cell Hi-C
3D chromosomal structure
Lennard-Jones potential
title Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential
title_full Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential
title_fullStr Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential
title_full_unstemmed Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential
title_short Inferring Single-Cell 3D Chromosomal Structures Based on the Lennard-Jones Potential
title_sort inferring single cell 3d chromosomal structures based on the lennard jones potential
topic 3D genome
single-cell Hi-C
3D chromosomal structure
Lennard-Jones potential
url https://www.mdpi.com/1422-0067/22/11/5914
work_keys_str_mv AT mengshengzha inferringsinglecell3dchromosomalstructuresbasedonthelennardjonespotential
AT nanwang inferringsinglecell3dchromosomalstructuresbasedonthelennardjonespotential
AT chaoyangzhang inferringsinglecell3dchromosomalstructuresbasedonthelennardjonespotential
AT zhengwang inferringsinglecell3dchromosomalstructuresbasedonthelennardjonespotential