Image-based 3D genomics through chromatin tracing

被引:0
|
作者
Tianqi Yang [1 ]
Siyuan Wang [1 ]
机构
[1] Yale University,Department of Genetics
[2] Yale University,Department of Cell Biology
[3] Yale University,Yale Combined Program in the Biological and Biomedical Sciences
[4] Yale University,Molecular Cell Biology, Genetics and Development Program
[5] Yale University,Biochemistry, Quantitative Biology, Biophysics and Structural Biology Program
[6] Yale University,MD
[7] Yale University School of Medicine,PhD Program
[8] Yale University School of Medicine,Yale Center for RNA Science and Medicine
来源
关键词
D O I
10.1038/s43586-024-00354-y
中图分类号
学科分类号
摘要
Correct organization of higher-order genome folding is essential for the regulation of gene expression, DNA replication and other genomic functions. Technological advances in high-throughput sequencing-based methods have allowed for systematic profiling of the fundamental architectural features of chromatin organization at the genome level. However, how chromatin is folded in 3D space at single-cell and single-chromosome-copy resolution in intact cells and tissues has been a long-standing question owing to a lack of appropriate methodology. Recent advances in chromatin labelling, imaging and automated fluidics technologies have led to the development of chromatin tracing, enabling direct mapping of the 3D chromatin folding trajectory in situ at the single-cell and single-molecule level. Within nearly a decade of its development, chromatin tracing has been applied at different genomic scales and to a spectrum of cell types and model organisms, improving our understanding of the structures, mechanisms and functions of chromatin organization in various biological and medical areas. In this Primer, we introduce the experimental principles, data analysis procedures and current applications of chromatin tracing. We describe how chromatin tracing can be combined with multimodal imaging and genetic screening technologies and provide a perspective on the limitations of current chromatin tracing approaches and the direction of technological developments for filling major gaps in discoveries.
引用
下载
收藏
相关论文
共 50 条
  • [41] Image-based Virtual Exhibit and Its Extension to 3D
    Ming-Min Zhang~* Zhi-Geng Pan Li-Feng Ren Peng Wang State Key Laboratory of CAD&CG
    Machine Intelligence Research, 2007, (01) : 18 - 24
  • [42] Developing an Image-Based 3D Model Editing Method
    Pang, Min
    He, Ligang
    Xiong, Fengguang
    Yang, Xiaowen
    He, Zhiying
    Han, Xie
    IEEE ACCESS, 2020, 8 : 167950 - 167964
  • [43] 3D surface reconstruction with an image-based slicing technique
    Wang, Min-Liang
    Liang, Sung-Chun
    Lin, Huei-Yung
    IECON 2007: 33RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-3, CONFERENCE PROCEEDINGS, 2007, : 2465 - +
  • [44] Texture image-based 3D entity modeling method
    Zhao, Z. Q.
    Hao, J. X.
    COMPUTING, CONTROL, INFORMATION AND EDUCATION ENGINEERING, 2015, : 3 - 8
  • [45] Interacting with 3D graphic objects in an image-based environment
    Wang, Y
    Li, J
    Zhou, K
    Shum, HY
    ADVANCES IN MUTLIMEDIA INFORMATION PROCESSING - PCM 2001, PROCEEDINGS, 2001, 2195 : 229 - 236
  • [46] Image-Based 3D Reconstruction on Distributed Hash Network
    Zhong, Jin Hua
    Fang, Wan
    INTERNATIONAL JOURNAL OF MOBILE COMPUTING AND MULTIMEDIA COMMUNICATIONS, 2018, 9 (04) : 58 - 75
  • [47] Image-based Localization using Image Database and Local 3D Maps
    Kim, Hyungjin
    Jung, Kwangyik
    Oh, Taekjun
    Myung, Hyun
    2015 12TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2015, : 32 - 33
  • [48] An Overview on Image-Based and Scanner-Based 3D Modeling Technologies
    Verykokou, Styliani
    Ioannidis, Charalabos
    SENSORS, 2023, 23 (02)
  • [49] Plant 3D genomics: the exploration and application of chromatin organization
    Pei, Liuling
    Li, Guoliang
    Lindsey, Keith
    Zhang, Xianlong
    Wang, Maojun
    NEW PHYTOLOGIST, 2021, 230 (05) : 1772 - 1786
  • [50] Sequential Image-based 3D Object Detection with Location Refinement
    Sim, Sangmin
    Kim, Youngseok
    Kum, Dongsuk
    2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2022, : 3625 - 3631