Literature DB >> 32694606

Single-cell omics in ageing: a young and growing field.

Xiaojuan He1,2, Sebastian Memczak3, Jing Qu4,5,6, Juan Carlos Izpisua Belmonte7, Guang-Hui Liu8,9,10,11.   

Abstract

Organismal ageing results from interlinked molecular changes in multiple organs over time. The study of ageing at the molecular level is complicated by varying decay characteristics and kinetics-both between and within organs-driven by intrinsic and extracellular factors. Emerging single-cell omics methods allow for molecular and spatial profiling of cells, and probing of regulatory states and cell-fate determination, thus providing promising tools for unravelling the heterogeneous process of ageing and making it amenable to intervention. These new strategies are enabled by advances in genomic, epigenomic and transcriptomic technologies. Combined with methods for proteome and metabolome analysis, single-cell techniques provide multidimensional, integrated data with unprecedented detail and throughput. Here, we provide an overview of the current state, and perspectives on the future, of this emerging field. We discuss how single-cell approaches can advance understanding of mechanisms underlying organismal ageing and aid in the development of interventions for ageing and ageing-associated diseases.

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Year:  2020        PMID: 32694606     DOI: 10.1038/s42255-020-0196-7

Source DB:  PubMed          Journal:  Nat Metab        ISSN: 2522-5812


  102 in total

Review 1.  Single-cell epigenomics: techniques and emerging applications.

Authors:  Omer Schwartzman; Amos Tanay
Journal:  Nat Rev Genet       Date:  2015-10-13       Impact factor: 53.242

Review 2.  Single-cell genome sequencing: current state of the science.

Authors:  Charles Gawad; Winston Koh; Stephen R Quake
Journal:  Nat Rev Genet       Date:  2016-01-25       Impact factor: 53.242

Review 3.  Single-cell sequencing-based technologies will revolutionize whole-organism science.

Authors:  Ehud Shapiro; Tamir Biezuner; Sten Linnarsson
Journal:  Nat Rev Genet       Date:  2013-07-30       Impact factor: 53.242

4.  Single-cell barcoding and sequencing using droplet microfluidics.

Authors:  Rapolas Zilionis; Juozas Nainys; Adrian Veres; Virginia Savova; David Zemmour; Allon M Klein; Linas Mazutis
Journal:  Nat Protoc       Date:  2016-12-08       Impact factor: 13.491

5.  Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells.

Authors:  Yurong Xin; Jinrang Kim; Min Ni; Yi Wei; Haruka Okamoto; Joseph Lee; Christina Adler; Katie Cavino; Andrew J Murphy; George D Yancopoulos; Hsin Chieh Lin; Jesper Gromada
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-07       Impact factor: 11.205

Review 6.  Microfluidic devices for measuring gene network dynamics in single cells.

Authors:  Matthew R Bennett; Jeff Hasty
Journal:  Nat Rev Genet       Date:  2009-08-11       Impact factor: 53.242

Review 7.  Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices.

Authors:  Sanjay M Prakadan; Alex K Shalek; David A Weitz
Journal:  Nat Rev Genet       Date:  2017-04-10       Impact factor: 53.242

8.  mRNA-Seq whole-transcriptome analysis of a single cell.

Authors:  Fuchou Tang; Catalin Barbacioru; Yangzhou Wang; Ellen Nordman; Clarence Lee; Nanlan Xu; Xiaohui Wang; John Bodeau; Brian B Tuch; Asim Siddiqui; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2009-04-06       Impact factor: 28.547

Review 9.  Integrative single-cell analysis.

Authors:  Tim Stuart; Rahul Satija
Journal:  Nat Rev Genet       Date:  2019-05       Impact factor: 53.242

10.  Marrying microfluidics and microwells for parallel, high-throughput single-cell genomics.

Authors:  Marc H Wadsworth; Travis K Hughes; Alex K Shalek
Journal:  Genome Biol       Date:  2015-06-20       Impact factor: 13.583

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  16 in total

Review 1.  IFN-Aging: Coupling Aging With Interferon Response.

Authors:  Wei Cao
Journal:  Front Aging       Date:  2022-05-02

2.  Bulk and single-cell gene expression analyses reveal aging human choriocapillaris has pro-inflammatory phenotype.

Authors:  Andrew P Voigt; S Scott Whitmore; Kelly Mulfaul; Kathleen R Chirco; Joseph C Giacalone; Miles J Flamme-Wiese; Adam Stockman; Edwin M Stone; Budd A Tucker; Todd E Scheetz; Robert F Mullins
Journal:  Microvasc Res       Date:  2020-06-09       Impact factor: 3.514

Review 3.  Omics in a Digital World: The Role of Bioinformatics in Providing New Insights Into Human Aging.

Authors:  Serena Dato; Paolina Crocco; Nicola Rambaldi Migliore; Francesco Lescai
Journal:  Front Genet       Date:  2021-06-10       Impact factor: 4.599

4.  A human circulating immune cell landscape in aging and COVID-19.

Authors:  Yingfeng Zheng; Xiuxing Liu; Wenqing Le; Lihui Xie; He Li; Wen Wen; Si Wang; Hongyang Wang; Guang-Hui Liu; Shuai Ma; Zhaohao Huang; Jinguo Ye; Wen Shi; Yanxia Ye; Zunpeng Liu; Moshi Song; Weiqi Zhang; Jing-Dong J Han; Juan Carlos Izpisua Belmonte; Chuanle Xiao; Jing Qu; Wenru Su
Journal:  Protein Cell       Date:  2020-08-11       Impact factor: 14.870

Review 5.  Protein quality control of cell stemness.

Authors:  Pengze Yan; Jie Ren; Weiqi Zhang; Jing Qu; Guang-Hui Liu
Journal:  Cell Regen       Date:  2020-11-12

6.  Aging Atlas: a multi-omics database for aging biology.

Authors: 
Journal:  Nucleic Acids Res       Date:  2021-01-08       Impact factor: 16.971

Review 7.  The Cys Sense: Thiol Redox Switches Mediate Life Cycles of Cellular Proteins.

Authors:  Meytal Radzinski; Tal Oppenheim; Norman Metanis; Dana Reichmann
Journal:  Biomolecules       Date:  2021-03-22

8.  Single-nucleus transcriptomic landscape of primate hippocampal aging.

Authors:  Hui Zhang; Jiaming Li; Jie Ren; Shuhui Sun; Shuai Ma; Weiqi Zhang; Yang Yu; Yusheng Cai; Kaowen Yan; Wei Li; Baoyang Hu; Piu Chan; Guo-Guang Zhao; Juan Carlos Izpisua Belmonte; Qi Zhou; Jing Qu; Si Wang; Guang-Hui Liu
Journal:  Protein Cell       Date:  2021-05-30       Impact factor: 14.870

9.  Single-cell transcriptomic atlas of primate cardiopulmonary aging.

Authors:  Shuai Ma; Shuhui Sun; Jiaming Li; Yanling Fan; Jing Qu; Liang Sun; Si Wang; Yiyuan Zhang; Shanshan Yang; Zunpeng Liu; Zeming Wu; Sheng Zhang; Qiaoran Wang; Aihua Zheng; Shuguang Duo; Yang Yu; Juan Carlos Izpisua Belmonte; Piu Chan; Qi Zhou; Moshi Song; Weiqi Zhang; Guang-Hui Liu
Journal:  Cell Res       Date:  2020-09-10       Impact factor: 46.297

Review 10.  Inflammation, epigenetics, and metabolism converge to cell senescence and ageing: the regulation and intervention.

Authors:  Xudong Zhu; Zhiyang Chen; Weiyan Shen; Gang Huang; John M Sedivy; Hu Wang; Zhenyu Ju
Journal:  Signal Transduct Target Ther       Date:  2021-06-28
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