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Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9

ATAC-seq is a high-throughput sequencing technique that identifies open chromatin. Depending on the cell type, ATAC-seq samples may contain ~20–80% of mitochondrial sequencing reads. As the regions of open chromatin of interest are usually located in the nuclear genome, mitochondrial reads are typic...

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Autores principales: Montefiori, Lindsey, Hernandez, Liana, Zhang, Zijie, Gilad, Yoav, Ober, Carole, Crawford, Gregory, Nobrega, Marcelo, Jo Sakabe, Noboru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446398/
https://www.ncbi.nlm.nih.gov/pubmed/28550296
http://dx.doi.org/10.1038/s41598-017-02547-w
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author Montefiori, Lindsey
Hernandez, Liana
Zhang, Zijie
Gilad, Yoav
Ober, Carole
Crawford, Gregory
Nobrega, Marcelo
Jo Sakabe, Noboru
author_facet Montefiori, Lindsey
Hernandez, Liana
Zhang, Zijie
Gilad, Yoav
Ober, Carole
Crawford, Gregory
Nobrega, Marcelo
Jo Sakabe, Noboru
author_sort Montefiori, Lindsey
collection PubMed
description ATAC-seq is a high-throughput sequencing technique that identifies open chromatin. Depending on the cell type, ATAC-seq samples may contain ~20–80% of mitochondrial sequencing reads. As the regions of open chromatin of interest are usually located in the nuclear genome, mitochondrial reads are typically discarded from the analysis. We tested two approaches to decrease wasted sequencing in ATAC-seq libraries generated from lymphoblastoid cell lines: targeted cleavage of mitochondrial DNA fragments using CRISPR technology and removal of detergent from the cell lysis buffer. We analyzed the effects of these treatments on the number of usable (unique, non-mitochondrial) reads and the number and quality of peaks called, including peaks identified in enhancers and transcription start sites. Both treatments resulted in considerable reduction of mitochondrial reads (1.7 and 3-fold, respectively). The removal of detergent, however, resulted in increased background and fewer peaks. The highest number of peaks and highest quality data was obtained by preparing samples with the original ATAC-seq protocol (using detergent) and treating them with CRISPR. This strategy reduced the amount of sequencing required to call a high number of peaks, which could lead to cost reduction when performing ATAC-seq on large numbers of samples and in cell types that contain a large amount of mitochondria.
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spelling pubmed-54463982017-05-30 Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9 Montefiori, Lindsey Hernandez, Liana Zhang, Zijie Gilad, Yoav Ober, Carole Crawford, Gregory Nobrega, Marcelo Jo Sakabe, Noboru Sci Rep Article ATAC-seq is a high-throughput sequencing technique that identifies open chromatin. Depending on the cell type, ATAC-seq samples may contain ~20–80% of mitochondrial sequencing reads. As the regions of open chromatin of interest are usually located in the nuclear genome, mitochondrial reads are typically discarded from the analysis. We tested two approaches to decrease wasted sequencing in ATAC-seq libraries generated from lymphoblastoid cell lines: targeted cleavage of mitochondrial DNA fragments using CRISPR technology and removal of detergent from the cell lysis buffer. We analyzed the effects of these treatments on the number of usable (unique, non-mitochondrial) reads and the number and quality of peaks called, including peaks identified in enhancers and transcription start sites. Both treatments resulted in considerable reduction of mitochondrial reads (1.7 and 3-fold, respectively). The removal of detergent, however, resulted in increased background and fewer peaks. The highest number of peaks and highest quality data was obtained by preparing samples with the original ATAC-seq protocol (using detergent) and treating them with CRISPR. This strategy reduced the amount of sequencing required to call a high number of peaks, which could lead to cost reduction when performing ATAC-seq on large numbers of samples and in cell types that contain a large amount of mitochondria. Nature Publishing Group UK 2017-05-26 /pmc/articles/PMC5446398/ /pubmed/28550296 http://dx.doi.org/10.1038/s41598-017-02547-w Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Montefiori, Lindsey
Hernandez, Liana
Zhang, Zijie
Gilad, Yoav
Ober, Carole
Crawford, Gregory
Nobrega, Marcelo
Jo Sakabe, Noboru
Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9
title Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9
title_full Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9
title_fullStr Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9
title_full_unstemmed Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9
title_short Reducing mitochondrial reads in ATAC-seq using CRISPR/Cas9
title_sort reducing mitochondrial reads in atac-seq using crispr/cas9
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446398/
https://www.ncbi.nlm.nih.gov/pubmed/28550296
http://dx.doi.org/10.1038/s41598-017-02547-w
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