Literature DB >> 26544934

Design and Analysis of Single-Cell Sequencing Experiments.

Dominic Grün1, Alexander van Oudenaarden2.   

Abstract

Recent advances in single-cell sequencing hold great potential for exploring biological systems with unprecedented resolution. Sequencing the genome of individual cells can reveal somatic mutations and allows the investigation of clonal dynamics. Single-cell transcriptome sequencing can elucidate the cell type composition of a sample. However, single-cell sequencing comes with major technical challenges and yields complex data output. In this Primer, we provide an overview of available methods and discuss experimental design and single-cell data analysis. We hope that these guidelines will enable a growing number of researchers to leverage the power of single-cell sequencing.
Copyright © 2015 Elsevier Inc. All rights reserved.

Mesh:

Year:  2015        PMID: 26544934     DOI: 10.1016/j.cell.2015.10.039

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  148 in total

1.  Linking the T cell receptor to the single cell transcriptome in antigen-specific human T cells.

Authors:  Auda A Eltahla; Simone Rizzetto; Mehdi R Pirozyan; Brigid D Betz-Stablein; Vanessa Venturi; Katherine Kedzierska; Andrew R Lloyd; Rowena A Bull; Fabio Luciani
Journal:  Immunol Cell Biol       Date:  2016-02-10       Impact factor: 5.126

2.  SITC cancer immunotherapy resource document: a compass in the land of biomarker discovery.

Authors:  Siwen Hu-Lieskovan; Srabani Bhaumik; Kavita Dhodapkar; Jean-Charles J B Grivel; Sumati Gupta; Brent A Hanks; Sylvia Janetzki; Thomas O Kleen; Yoshinobu Koguchi; Amanda W Lund; Cristina Maccalli; Yolanda D Mahnke; Ruslan D Novosiadly; Senthamil R Selvan; Tasha Sims; Yingdong Zhao; Holden T Maecker
Journal:  J Immunother Cancer       Date:  2020-12       Impact factor: 13.751

Review 3.  Advances in Transcriptomics: Investigating Cardiovascular Disease at Unprecedented Resolution.

Authors:  Robert C Wirka; Milos Pjanic; Thomas Quertermous
Journal:  Circ Res       Date:  2018-04-27       Impact factor: 17.367

4.  Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells.

Authors:  Wei Feng; Andrew Przysinda; Guang Li
Journal:  J Vis Exp       Date:  2020-01-07       Impact factor: 1.355

Review 5.  Strategies for the acquisition of transcriptional and epigenetic information in single cells.

Authors:  Guang Li; Elda Dzilic; Nick Flores; Alice Shieh; Sean M Wu
Journal:  J Thorac Dis       Date:  2017-03       Impact factor: 2.895

6.  Normalizing single-cell RNA sequencing data: challenges and opportunities.

Authors:  Catalina A Vallejos; Davide Risso; Antonio Scialdone; Sandrine Dudoit; John C Marioni
Journal:  Nat Methods       Date:  2017-05-15       Impact factor: 28.547

Review 7.  Recent Developments in Single-Cell RNA-Seq of Microorganisms.

Authors:  Yi Zhang; Jiaxin Gao; Yanyi Huang; Jianbin Wang
Journal:  Biophys J       Date:  2018-06-26       Impact factor: 4.033

8.  An Efficient Single-Cell RNA-Seq Approach to Identify Neoantigen-Specific T Cell Receptors.

Authors:  Yong-Chen Lu; Zhili Zheng; Paul F Robbins; Eric Tran; Todd D Prickett; Jared J Gartner; Yong F Li; Satyajit Ray; Zulmarie Franco; Valery Bliskovsky; Peter C Fitzgerald; Steven A Rosenberg
Journal:  Mol Ther       Date:  2017-10-28       Impact factor: 11.454

9.  Ribosome Footprint Profiling of Translation throughout the Genome.

Authors:  Nicholas T Ingolia
Journal:  Cell       Date:  2016-03-24       Impact factor: 41.582

Review 10.  The Growing Toolbox for Protein Synthesis Studies.

Authors:  Shintaro Iwasaki; Nicholas T Ingolia
Journal:  Trends Biochem Sci       Date:  2017-05-28       Impact factor: 13.807

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