Literature DB >> 30958473

ATAC-seq Assay with Low Mitochondrial DNA Contamination from Primary Human CD4+ T Lymphocytes.

Hannah D Rickner1, Sheng-Yong Niu2, Christine S Cheng3.   

Abstract

ATAC-seq has become a widely used methodology in the study of epigenetics due to its rapid and simple approach to mapping genome-wide accessible chromatin. In this paper we present an improved ATAC-seq protocol that reduces contaminating mitochondrial DNA reads. While previous ATAC-seq protocols have struggled with an average of 50% contaminating mitochondrial DNA reads, the optimized lysis buffer introduced in this protocol reduces mitochondrial DNA contamination to an average of 3%. This improved ATAC-seq protocol allows for a near 50% reduction in the sequencing cost. We demonstrate how these high-quality ATAC-seq libraries can be prepared from activated CD4+ lymphocytes, providing step-by-step instructions from CD4+ lymphocyte isolation from whole blood through data analysis. This improved ATAC-seq protocol has been validated in a wide range of cell types and will be of immediate use to researchers studying chromatin accessibility.

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Year:  2019        PMID: 30958473      PMCID: PMC7203994          DOI: 10.3791/59120

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  17 in total

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2.  Fast gapped-read alignment with Bowtie 2.

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3.  The landscape of accessible chromatin in mammalian preimplantation embryos.

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Journal:  Nature       Date:  2016-06-15       Impact factor: 49.962

4.  Profiling Nucleosome Occupancy by MNase-seq: Experimental Protocol and Computational Analysis.

Authors:  Alice Pajoro; Jose M Muiño; Gerco C Angenent; Kerstin Kaufmann
Journal:  Methods Mol Biol       Date:  2018

5.  Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding.

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Journal:  Science       Date:  2018-03-15       Impact factor: 47.728

6.  BEDTools: a flexible suite of utilities for comparing genomic features.

Authors:  Aaron R Quinlan; Ira M Hall
Journal:  Bioinformatics       Date:  2010-01-28       Impact factor: 6.937

7.  ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide.

Authors:  Jason D Buenrostro; Beijing Wu; Howard Y Chang; William J Greenleaf
Journal:  Curr Protoc Mol Biol       Date:  2015-01-05

8.  Genetic determinants of co-accessible chromatin regions in activated T cells across humans.

Authors:  Rachel E Gate; Christine S Cheng; Aviva P Aiden; Atsede Siba; Marcin Tabaka; Dmytro Lituiev; Ido Machol; M Grace Gordon; Meena Subramaniam; Muhammad Shamim; Kendrick L Hougen; Ivo Wortman; Su-Chen Huang; Neva C Durand; Ting Feng; Philip L De Jager; Howard Y Chang; Erez Lieberman Aiden; Christophe Benoist; Michael A Beer; Chun J Ye; Aviv Regev
Journal:  Nat Genet       Date:  2018-07-09       Impact factor: 41.307

9.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

10.  Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution.

Authors:  M Ryan Corces; Jason D Buenrostro; Beijing Wu; Peyton G Greenside; Steven M Chan; Julie L Koenig; Michael P Snyder; Jonathan K Pritchard; Anshul Kundaje; William J Greenleaf; Ravindra Majeti; Howard Y Chang
Journal:  Nat Genet       Date:  2016-08-15       Impact factor: 38.330

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  4 in total

1.  Protocol for Single-Nucleus Transcriptomics of Diploid and Tetraploid Cardiomyocytes in Murine Hearts.

Authors:  Miao Cui; Eric N Olson
Journal:  STAR Protoc       Date:  2020-06-08

2.  Dynamic Transcriptional Responses to Injury of Regenerative and Non-regenerative Cardiomyocytes Revealed by Single-Nucleus RNA Sequencing.

Authors:  Miao Cui; Zhaoning Wang; Kenian Chen; Akansha M Shah; Wei Tan; Lauren Duan; Efrain Sanchez-Ortiz; Hui Li; Lin Xu; Ning Liu; Rhonda Bassel-Duby; Eric N Olson
Journal:  Dev Cell       Date:  2020-03-26       Impact factor: 12.270

3.  Analytical Approaches for ATAC-seq Data Analysis.

Authors:  Jason P Smith; Nathan C Sheffield
Journal:  Curr Protoc Hum Genet       Date:  2020-06

Review 4.  Bibliometric review of ATAC-Seq and its application in gene expression.

Authors:  Liheng Luo; Michael Gribskov; Sufang Wang
Journal:  Brief Bioinform       Date:  2022-05-13       Impact factor: 13.994

  4 in total

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