
浏览全部资源
扫码关注微信
1.400038 重庆,陆军军医大学(第三军医大学)高原军事医学系病理生理学教研室
2.2400038 重庆,陆军军医大学(第三军医大学)基础医学院全军免疫学研究所
[倪兵,博士,教授,博士研究生导师。担任中国免疫学会理事和重庆免疫学会常务理事。主持国家自然科学基金等国家级科研课题12项。入选新世纪百千万人才工程国家级人选和重庆市学术技术带头人,获国务院政府特殊津贴。在Nat Methods、Hepatology、Cell Res等高影响学术期刊发表论文120余篇。以第二完成人先后获得国家技术发明二等奖1项、中华医学科技奖一等奖1项、重庆市自然科学奖一等奖2项。主要从事炎症相关疾病的免疫学调控机制方面的研究。E-mail: nibing@tmmu.edu.cn NI Bing, E-mail: nibing@tmmu.edu.cn
[高维武,博士,副教授,主要从事单细胞表观测序技术和免疫学方面的研究。E-mail:gaoweiwu123@tmmu.edu.cn GAO Weiwu, E-mail: gaoweiwu123@tmmu.edu.cn
收稿:2021-09-03,
修回:2021-09-26,
纸质出版:2022-01-15
移动端阅览
倪兵, 高维武. 单细胞表观遗传测序技术最新进展[J]. 陆军军医大学学报, 2022,44(1):74-78.
Bing NI, Weiwu GAO. Recent advances in single-cell epigenetic sequencing technology[J]. Journal of Army Medical University, 2022, 44(1): 74-78.
倪兵, 高维武. 单细胞表观遗传测序技术最新进展[J]. 陆军军医大学学报, 2022,44(1):74-78. DOI: 10.16016/j.1000-5404.202109020.
Bing NI, Weiwu GAO. Recent advances in single-cell epigenetic sequencing technology[J]. Journal of Army Medical University, 2022, 44(1): 74-78. DOI: 10.16016/j.1000-5404.202109020.
单细胞测序技术是目前解码组织、器官、细胞、分子异质性的重要热门工具,其主要基于二代测序技术,根据其检测对象可分为单细胞基因组学测序技术、单细胞表观组学测序技术、单细胞转录组学测序技术,以及可同时解析多个组学的单细胞多组学测序技术。表观遗传学是连接基因组学和细胞表型的重要调控环节,其可通过染色质的可及性、DNA和组蛋白的修饰、核小体的排列、染色质的三维构象等发挥转录调控等作用。目前,已开发了多种检测不同表观层面的单细胞测序新技术,绘制了多种组织、器官、细胞的多个表观层面异质性的图谱,初步阐述了细胞转录异质性的表观决定机制。未来的新技术和新算法,以及单细胞测序技术在生命科学和医学疾病中的应用,将有望深度解码组织、器官、细胞、分子的异质性以及异质性的调控机制。
Single-cell sequencing technologies are important hot tools for decoding the heterogeneity of tissues
organs
cells and molecules
mainly based on the next-generation sequencing technology. It mainly includes single-cell genome sequencing
single-cell epigenome sequencing and single-cell transcriptome sequencing
along with the multi-omics single-cell sequencing technology. Epigenetics is an important regulatory link between genomics and cell phenotype. It plays a role in transcriptional regulation through chromatin accessibility
DNA and histone modification
nucleosome arrangement and three-dimensional conformation of chromatin. At present
researchers have developed a variety of single-cell sequencing techniques at epigenetic level
plotted multiple heterogeneity atlases at epigenetic level for several tissues
organs and cells
and have also primarily illuminated the determinant mechanisms for the heterogeneity of cell transcription at epigenetic level. In the future
with the applications of new single-cell sequencing technologies and new algorithms in life science and medical sicences
it is expected that the heterogeneity and the underlying molecular mechanisms of tissues
organs
cells and molecules will be decoded deeply.
TANG F, BARBACIORU C, WANG Y, et al . mRNA-Seq whole-transcriptome analysis of a single cell[J ] . Nat Methods, 2009, 6(5): 377-382. DOI: 10.1038/nmeth.1315.
KHARCHENKO P V. The triumphs and limitations of computational methods for scRNA-seq[J]. Nat Methods, 2021, 18(7): 723-732. DOI: 10.1038/s41592-021-01171-x.
ZONG C H, LU S J, CHAPMAN A R, et al . Genome-wide detection of single-nucleotide and copy-number variations of a single human cell[J ] . Science, 2012, 338(6114): 1622-1626. DOI: 10.1126/science.1229164.
JIN W F, TANG Q S, WAN M M, et al . Genome-wide detect ion of DNase I hypersensitive sites in single cells and FFPE tissue samples[J ] . Nature, 2015, 528(7580): 142-146. DOI: 10.1038/nature15740.
BUENROSTRO J D, WU B J, LITZENBURGER U M, et al . Single-cell chromatin accessibility reveals principles of regulatory variation[J ] . Nature, 2015, 523(7561): 486-490. DOI: 10.1038/nature14590.
ROTEM A, RAM O, SHORESH N, et al . Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state[J ] . Nat Biotechnol, 2015, 33(11): 1165-1172. DOI: 10.1038/nbt.3383.
CARTER B, ZHAO K J. The epigenetic basis of cellular heterogeneity[J]. Nat Rev Genet, 2021, 22(4): 235-250. DOI: 10.1038/s41576-020-00300-0.
RODRIGUEZ J, REN G, DAY C R, et al . Intrinsic dynamics of a human gene reveal the basis of expression heterogeneity[J ] . Cell, 2019, 176(1/2): 213-226. e18. DOI: 10.1016/j.cell.2018.11.026.
GAO W, KU W L, PAN L, et al . Multiplex indexing approach for the detection of DNase I hypersensitive sites in single cells[J ] . Nucleic Acids Res, 2021, 49(10): e56. DOI: 10.1093/nar/gkab102.
LAI B B, GAO W W, CUI K R, et al . Principles of nucleosome organization revealed by single-cell micrococcal nuclease sequencing[J ] . Nature, 2018, 562(7726): 281-285. DOI: 10.1038/s41586-018-0567-3.
GAO W, LAI B, NI B, et al . Genome-wide profiling of nucleosome position and chromatin accessibility in single cells using scMNase-seq[J ] . Nat Protoc, 2020, 15(1): 68-85. DOI: 10.1038/s41596-019-0243-6.
KU W L, NAKAMURA K, GAO W W, et al . Single-cell chromatin immunocleavage sequencing (scChIC-seq) to profile histone modification[J ] . Nat Methods, 2019, 16(4): 323-325. DOI: 10.1038/s41592-019-0361-7.
SKENE P J, HENIKOFF S. An efficient targeted nuclease strategy for high-resolution mapping of DNA binding sites[J]. Elife, 2017, 6: e21856. DOI: 10.7554/eLife.21856.
CARTER B, KU W L, KANG J Y, et al . Mapping histone modifications in low cell number and single cells using antibody-guided chromatin tagmentation (ACT-seq)[J ] . Nat Commun, 2019, 10(1): 3747. DOI: 10.1038/s41467-019-11559-1.
XIONG H, LUO Y, WANG Q, et al . Single-cell joint detection of chromatin occupancy and transcriptome enables higher-dimensional epigenomic reconstructions[J ] . Nat Methods, 2021, 18(6): 652-660. DOI: 10.1038/s41592-021-01129-z.
BARTOSOVIC M, KABBE M, CASTELO-BRANCO G. Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues[J]. Nat Biotechnol, 2021, 39(7): 825-835. DOI: 10.1038/s41587-021-00869-9.
HAINER S J, BOŠKOVIĆA, MCCANNELL K N, et al . Profiling of pluripotency factors in single cells and early embryos[J ] . Cell, 2019, 177(5): 1319-1329. e11. DOI: 10.1016/j.cell.2019.03.014.
KU W L, PAN L X, CAO Y Q, et al . Profiling single-cell histone modifications using indexing chromatin immunocleavage sequencing[J ] . Genome Res, 2021. DOI: 10.1101/gr.260893.120.[Onlineahead of print ] .
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621