Literature DB >> 27320288

Single-cell analysis: Advances and future perspectives.

Emir Hodzic1.   

Abstract

The last several years have seen rapid development of technologies and methods that permit a detailed analysis of the genome and transcriptome of a single cell. Recent evidence from studies of single cells reveals that each cell type has a distinct lineage and function. The lineage and stage of development of each cell determine how they respond to each other and the environment. Experimental approaches that utilize single-cell analysis are effective means to understand how cell networks work in concert to coordinate a response at the population level; recent progress in single-cell analysis is offering a glimpse at the future.

Mesh:

Year:  2016        PMID: 27320288      PMCID: PMC5136769          DOI: 10.17305/bjbms.2016.1371

Source DB:  PubMed          Journal:  Bosn J Basic Med Sci        ISSN: 1512-8601            Impact factor:   3.363


  16 in total

Review 1.  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

2.  Quantitative PCR analysis of DNA, RNAs, and proteins in the same single cell.

Authors:  Anders Ståhlberg; Christer Thomsen; David Ruff; Pierre Åman
Journal:  Clin Chem       Date:  2012-09-26       Impact factor: 8.327

3.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

4.  Digital Quantification of Proteins and mRNA in Single Mammalian Cells.

Authors:  Cem Albayrak; Christian A Jordi; Christoph Zechner; Jing Lin; Colette A Bichsel; Mustafa Khammash; Savaş Tay
Journal:  Mol Cell       Date:  2016-03-17       Impact factor: 17.970

Review 5.  Development and applications of single-cell transcriptome analysis.

Authors:  Fuchou Tang; Kaiqin Lao; M Azim Surani
Journal:  Nat Methods       Date:  2011-04       Impact factor: 28.547

6.  Future medical applications of single-cell sequencing in cancer.

Authors:  Nicholas Navin; James Hicks
Journal:  Genome Med       Date:  2011-05-31       Impact factor: 11.117

7.  An automated system for high-throughput single cell-based breeding.

Authors:  Nobuo Yoshimoto; Akiko Kida; Xu Jie; Masaya Kurokawa; Masumi Iijima; Tomoaki Niimi; Andrés D Maturana; Itoshi Nikaido; Hiroki R Ueda; Kenji Tatematsu; Katsuyuki Tanizawa; Akihiko Kondo; Ikuo Fujii; Shun'ichi Kuroda
Journal:  Sci Rep       Date:  2013-02-01       Impact factor: 4.379

Review 8.  Single-cell analysis tools for drug discovery and development.

Authors:  James R Heath; Antoni Ribas; Paul S Mischel
Journal:  Nat Rev Drug Discov       Date:  2015-12-16       Impact factor: 112.288

Review 9.  Single cell genomics: advances and future perspectives.

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

Review 10.  Single-cell RNA-seq: advances and future challenges.

Authors:  Antoine-Emmanuel Saliba; Alexander J Westermann; Stanislaw A Gorski; Jörg Vogel
Journal:  Nucleic Acids Res       Date:  2014-07-22       Impact factor: 16.971

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  3 in total

Review 1.  Platforms for Single-Cell Collection and Analysis.

Authors:  Lukas Valihrach; Peter Androvic; Mikael Kubista
Journal:  Int J Mol Sci       Date:  2018-03-11       Impact factor: 5.923

2.  Identification of unique and shared mitochondrial DNA mutations in neurodegeneration and cancer by single-cell mitochondrial DNA structural variation sequencing (MitoSV-seq).

Authors:  Elham Jaberi; Emilie Tresse; Kirsten Grønbæk; Joachim Weischenfeldt; Shohreh Issazadeh-Navikas
Journal:  EBioMedicine       Date:  2020-07-03       Impact factor: 8.143

3.  A Microfluidic Platform for Single Cell Fluorometric Granzyme B Profiling.

Authors:  Jonathan C Briones; Wilfred V Espulgar; Shohei Koyama; Hiroyuki Yoshikawa; JeongHoon Park; Yujiro Naito; Atsushi Kumanogoh; Eiichi Tamiya; Hyota Takamatsu; Masato Saito
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

  3 in total

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