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enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions
Accumulating evidence suggests that the physical interactions between genomic regions play critical roles in the regulation of genome functions, such as transcription and epigenetic regulation. Various methods to detect the physical interactions between genomic regions have been developed. We recent...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949577/ https://www.ncbi.nlm.nih.gov/pubmed/35328026 http://dx.doi.org/10.3390/genes13030472 |
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author | Sarudate, Ashita Fujita, Toshitsugu Nakayama, Takahiro Fujii, Hodaka |
author_facet | Sarudate, Ashita Fujita, Toshitsugu Nakayama, Takahiro Fujii, Hodaka |
author_sort | Sarudate, Ashita |
collection | PubMed |
description | Accumulating evidence suggests that the physical interactions between genomic regions play critical roles in the regulation of genome functions, such as transcription and epigenetic regulation. Various methods to detect the physical interactions between genomic regions have been developed. We recently developed a method to search for genomic regions interacting with a locus of interest in a non-biased manner that combines pull-down of the locus using engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) and next-generation sequencing (NGS) analysis (enChIP-Seq). The clustered regularly interspaced short palindromic repeats (CRISPR) system, consisting of a nuclease-dead form of Cas9 (dCas9) and a guide RNA (gRNA), or transcription activator-like (TAL) proteins, can be used for enChIP. In enChIP-Seq, it is necessary to compare multiple datasets of enChIP-Seq data to unambiguously detect specific interactions. However, it is not always easy to analyze enChIP-Seq datasets to subtract non-specific interactions or identify common interactions. To facilitate such analysis, we developed the enChIP-Seq analyzer software. It enables easy extraction of common signals as well as subtraction of non-specific signals observed in negative control samples, thereby streamlining extraction of specific enChIP-Seq signals. enChIP-Seq analyzer will help users analyze enChIP-Seq data and identify physical interactions between genomic regions. |
format | Online Article Text |
id | pubmed-8949577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89495772022-03-26 enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions Sarudate, Ashita Fujita, Toshitsugu Nakayama, Takahiro Fujii, Hodaka Genes (Basel) Article Accumulating evidence suggests that the physical interactions between genomic regions play critical roles in the regulation of genome functions, such as transcription and epigenetic regulation. Various methods to detect the physical interactions between genomic regions have been developed. We recently developed a method to search for genomic regions interacting with a locus of interest in a non-biased manner that combines pull-down of the locus using engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) and next-generation sequencing (NGS) analysis (enChIP-Seq). The clustered regularly interspaced short palindromic repeats (CRISPR) system, consisting of a nuclease-dead form of Cas9 (dCas9) and a guide RNA (gRNA), or transcription activator-like (TAL) proteins, can be used for enChIP. In enChIP-Seq, it is necessary to compare multiple datasets of enChIP-Seq data to unambiguously detect specific interactions. However, it is not always easy to analyze enChIP-Seq datasets to subtract non-specific interactions or identify common interactions. To facilitate such analysis, we developed the enChIP-Seq analyzer software. It enables easy extraction of common signals as well as subtraction of non-specific signals observed in negative control samples, thereby streamlining extraction of specific enChIP-Seq signals. enChIP-Seq analyzer will help users analyze enChIP-Seq data and identify physical interactions between genomic regions. MDPI 2022-03-07 /pmc/articles/PMC8949577/ /pubmed/35328026 http://dx.doi.org/10.3390/genes13030472 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sarudate, Ashita Fujita, Toshitsugu Nakayama, Takahiro Fujii, Hodaka enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions |
title | enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions |
title_full | enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions |
title_fullStr | enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions |
title_full_unstemmed | enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions |
title_short | enChIP-Seq Analyzer: A Software Program to Analyze and Interpret enChIP-Seq Data for the Detection of Physical Interactions between Genomic Regions |
title_sort | enchip-seq analyzer: a software program to analyze and interpret enchip-seq data for the detection of physical interactions between genomic regions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949577/ https://www.ncbi.nlm.nih.gov/pubmed/35328026 http://dx.doi.org/10.3390/genes13030472 |
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