Literature DB >> 34978689

Advancement of Single-Cell Sequencing in Medulloblastoma.

Deepanshu Verma1, Namyashree Nayak1, Ashuthosh Singh1, Ashutosh Kumar Singh1, Neha Garg2.   

Abstract

Single-cell sequencing is a promising attempt to investigate the genomic, transcriptomic, and multiomic level of individual cell in the larger population of cells. The outward evolution of the technique from a manual method to the automation of single-cell sequencing is cogent. Lately, single-cell sequencing is widely used in various fields of science and has applications in neurobiology, immunity, cancer, microbiology, reproduction, and digestion. This chapter introduces the reader to the details of single-cell sequencing, currently used in several small-scale and commercial platforms. The advancement of single-cell sequencing in brain cancer sheds light on questions unanswered so far in the field of oncology.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biomedical applications; Brain cancer; Genome; Single-cell RNA sequencing; Transcriptomics

Mesh:

Year:  2022        PMID: 34978689     DOI: 10.1007/978-1-0716-1952-0_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  67 in total

1.  The promise of single-cell sequencing.

Authors:  James Eberwine; Jai-Yoon Sul; Tamas Bartfai; Junhyong Kim
Journal:  Nat Methods       Date:  2014-01       Impact factor: 28.547

Review 2.  Cytometry: today's technology and tomorrow's horizons.

Authors:  Pratip K Chattopadhyay; Mario Roederer
Journal:  Methods       Date:  2012-02-25       Impact factor: 3.608

3.  Genome-wide detection of single-nucleotide and copy-number variations of a single human cell.

Authors:  Chenghang Zong; Sijia Lu; Alec R Chapman; X Sunney Xie
Journal:  Science       Date:  2012-12-21       Impact factor: 47.728

4.  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 5.  Genomic analysis at the single-cell level.

Authors:  Tomer Kalisky; Paul Blainey; Stephen R Quake
Journal:  Annu Rev Genet       Date:  2011-09-19       Impact factor: 16.830

6.  Aging increases cell-to-cell transcriptional variability upon immune stimulation.

Authors:  Celia Pilar Martinez-Jimenez; Nils Eling; Hung-Chang Chen; Catalina A Vallejos; Aleksandra A Kolodziejczyk; Frances Connor; Lovorka Stojic; Timothy F Rayner; Michael J T Stubbington; Sarah A Teichmann; Maike de la Roche; John C Marioni; Duncan T Odom
Journal:  Science       Date:  2017-03-31       Impact factor: 47.728

7.  Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex.

Authors:  Chongyuan Luo; Christopher L Keown; Laurie Kurihara; Jingtian Zhou; Yupeng He; Junhao Li; Rosa Castanon; Jacinta Lucero; Joseph R Nery; Justin P Sandoval; Brian Bui; Terrence J Sejnowski; Timothy T Harkins; Eran A Mukamel; M Margarita Behrens; Joseph R Ecker
Journal:  Science       Date:  2017-08-11       Impact factor: 47.728

8.  Imaging individual mRNA molecules using multiple singly labeled probes.

Authors:  Arjun Raj; Patrick van den Bogaard; Scott A Rifkin; Alexander van Oudenaarden; Sanjay Tyagi
Journal:  Nat Methods       Date:  2008-09-21       Impact factor: 28.547

Review 9.  The single-cell sequencing: new developments and medical applications.

Authors:  Xiaoning Tang; Yongmei Huang; Jinli Lei; Hui Luo; Xiao Zhu
Journal:  Cell Biosci       Date:  2019-06-26       Impact factor: 7.133

Review 10.  Single cell genomics: advances and future perspectives.

Authors:  Iain C Macaulay; Thierry Voet
Journal:  PLoS Genet       Date:  2014-01-30       Impact factor: 5.917

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