Literature DB >> 33484631

Changes in genome architecture and transcriptional dynamics progress independently of sensory experience during post-natal brain development.

Longzhi Tan1, Wenping Ma2, Honggui Wu3, Yinghui Zheng4, Dong Xing4, Ritchie Chen5, Xiang Li2, Nicholas Daley6, Karl Deisseroth7, X Sunney Xie8.   

Abstract

Both transcription and three-dimensional (3D) architecture of the mammalian genome play critical roles in neurodevelopment and its disorders. However, 3D genome structures of single brain cells have not been solved; little is known about the dynamics of single-cell transcriptome and 3D genome after birth. Here, we generated a transcriptome (3,517 cells) and 3D genome (3,646 cells) atlas of the developing mouse cortex and hippocampus by using our high-resolution multiple annealing and looping-based amplification cycles for digital transcriptomics (MALBAC-DT) and diploid chromatin conformation capture (Dip-C) methods and developing multi-omic analysis pipelines. In adults, 3D genome "structure types" delineate all major cell types, with high correlation between chromatin A/B compartments and gene expression. During development, both transcriptome and 3D genome are extensively transformed in the first post-natal month. In neurons, 3D genome is rewired across scales, correlated with gene expression modules, and independent of sensory experience. Finally, we examine allele-specific structure of imprinted genes, revealing local and chromosome (chr)-wide differences. These findings uncover an unknown dimension of neurodevelopment.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  chromatin folding; developmental biology; epigenetics of plasticity; epigenomics; higher-order chromatin structure; molecular modeling; molecular psychiatry; neurogenesis; single-cell transcriptomics; structural biology

Year:  2021        PMID: 33484631     DOI: 10.1016/j.cell.2020.12.032

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  20 in total

1.  Cell-type specialization is encoded by specific chromatin topologies.

Authors:  Warren Winick-Ng; Alexander Kukalev; Izabela Harabula; Luna Zea-Redondo; Dominik Szabó; Mandy Meijer; Leonid Serebreni; Yingnan Zhang; Simona Bianco; Andrea M Chiariello; Ibai Irastorza-Azcarate; Christoph J Thieme; Thomas M Sparks; Sílvia Carvalho; Luca Fiorillo; Francesco Musella; Ehsan Irani; Elena Torlai Triglia; Aleksandra A Kolodziejczyk; Andreas Abentung; Galina Apostolova; Eleanor J Paul; Vedran Franke; Rieke Kempfer; Altuna Akalin; Sarah A Teichmann; Georg Dechant; Mark A Ungless; Mario Nicodemi; Lonnie Welch; Gonçalo Castelo-Branco; Ana Pombo
Journal:  Nature       Date:  2021-11-17       Impact factor: 49.962

2.  Single-cell Hi-C data analysis: safety in numbers.

Authors:  Aleksandra A Galitsyna; Mikhail S Gelfand
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 11.622

Review 3.  Characterizing cis-regulatory elements using single-cell epigenomics.

Authors:  Sebastian Preissl; Kyle J Gaulton; Bing Ren
Journal:  Nat Rev Genet       Date:  2022-07-15       Impact factor: 59.581

Review 4.  Recent advances in single-cell sequencing technologies.

Authors:  Lu Wen; Fuchou Tang
Journal:  Precis Clin Med       Date:  2022-01-31

5.  scGAD: single-cell gene associating domain scores for exploratory analysis of scHi-C data.

Authors:  Siqi Shen; Ye Zheng; Sündüz Keleş
Journal:  Bioinformatics       Date:  2022-06-02       Impact factor: 6.931

6.  Generation of dynamic three-dimensional genome structure through phase separation of chromatin.

Authors:  Shin Fujishiro; Masaki Sasai
Journal:  Proc Natl Acad Sci U S A       Date:  2022-05-26       Impact factor: 12.779

7.  Mapping chromatin loops in single cells.

Authors:  Miao Yu; Yun Li; Ming Hu
Journal:  Trends Genet       Date:  2022-04-07       Impact factor: 11.821

Review 8.  Applications of single-cell sequencing in cancer research: progress and perspectives.

Authors:  Yalan Lei; Rong Tang; Jin Xu; Wei Wang; Bo Zhang; Jiang Liu; Xianjun Yu; Si Shi
Journal:  J Hematol Oncol       Date:  2021-06-09       Impact factor: 17.388

9.  Multiscale and integrative single-cell Hi-C analysis with Higashi.

Authors:  Ruochi Zhang; Tianming Zhou; Jian Ma
Journal:  Nat Biotechnol       Date:  2021-10-11       Impact factor: 54.908

10.  Determining the 3D genome structure of a single mammalian cell with Dip-C.

Authors:  Longzhi Tan
Journal:  STAR Protoc       Date:  2021-06-18
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