Literature DB >> 23725882

Single-cell transcriptomics for drug target discovery.

Jennifer M Spaethling1, James H Eberwine.   

Abstract

Single cell sequencing is currently in its relative infancy although an unprecedented amount of information is already being generated. These techniques are providing new insight into intercellular variability as well as identification of previously unrecognized drug targets. As more groups are gaining an interest in this fruitful technique, new sample preparation techniques, sequencing platforms, and bioinformatics tools are being developed which only improve the quantity and quality of data generated in these studies. Great advancements in harvest (in vivo pipette), sample preparation, and sequencing (Illumina HiSeq 2500/MiSeq, Ion Torrent PGM, Pacific Biosciences RS) are allowing for previously untestable questions to be answered and for expanded accessibility of these technologies.
Copyright © 2013 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Year:  2013        PMID: 23725882     DOI: 10.1016/j.coph.2013.04.011

Source DB:  PubMed          Journal:  Curr Opin Pharmacol        ISSN: 1471-4892            Impact factor:   5.547


  4 in total

1.  A simple microdevice for single cell capture, array, release, and fast staining using oscillatory method.

Authors:  Dantong Cheng; Yang Yu; Chao Han; Mengjia Cao; Guang Yang; Jingquan Liu; Xiang Chen; Zhihai Peng
Journal:  Biomicrofluidics       Date:  2018-05-16       Impact factor: 2.800

Review 2.  Multigenerational and transgenerational effects of endocrine disrupting chemicals: A role for altered epigenetic regulation?

Authors:  Frances Xin; Martha Susiarjo; Marisa S Bartolomei
Journal:  Semin Cell Dev Biol       Date:  2015-05-28       Impact factor: 7.727

3.  A Bead-Based Microfluidic Approach to Integrated Single-Cell Gene Expression Analysis by Quantitative RT-PCR.

Authors:  Hao Sun; Tim Olsen; Jing Zhu; Jianguo Tao; Brian Ponnaiya; Sally A Amundson; David J Brenner; Qiao Lin
Journal:  RSC Adv       Date:  2015-01-01       Impact factor: 3.361

Review 4.  Current challenges in the bioinformatics of single cell genomics.

Authors:  Luwen Ning; Geng Liu; Guibo Li; Yong Hou; Yin Tong; Jiankui He
Journal:  Front Oncol       Date:  2014-01-27       Impact factor: 6.244

  4 in total

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