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Challenges and considerations for reproducibility of STARR-seq assays
High-throughput methods such as RNA-seq, ChIP-seq, and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying the activities of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234304/ https://www.ncbi.nlm.nih.gov/pubmed/37130797 http://dx.doi.org/10.1101/gr.277204.122 |
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author | Das, Maitreya Hossain, Ayaan Banerjee, Deepro Praul, Craig Alan Girirajan, Santhosh |
author_facet | Das, Maitreya Hossain, Ayaan Banerjee, Deepro Praul, Craig Alan Girirajan, Santhosh |
author_sort | Das, Maitreya |
collection | PubMed |
description | High-throughput methods such as RNA-seq, ChIP-seq, and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying the activities of thousands of enhancer sequences simultaneously, has seen limited standardization across studies. The assay is long, with more than 250 steps, and frequent customization of the protocol and variations in bioinformatics methods raise concerns for reproducibility of STARR-seq studies. Here, we assess each step of the protocol and analysis pipelines from published sources and in-house assays, and identify critical steps and quality control (QC) checkpoints necessary for reproducibility of the assay. We also provide guidelines for experimental design, protocol scaling, customization, and analysis pipelines for better adoption of the assay. These resources will allow better optimization of STARR-seq for specific research needs, enable comparisons and integration across studies, and improve the reproducibility of results. |
format | Online Article Text |
id | pubmed-10234304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102343042023-10-01 Challenges and considerations for reproducibility of STARR-seq assays Das, Maitreya Hossain, Ayaan Banerjee, Deepro Praul, Craig Alan Girirajan, Santhosh Genome Res Perspective High-throughput methods such as RNA-seq, ChIP-seq, and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying the activities of thousands of enhancer sequences simultaneously, has seen limited standardization across studies. The assay is long, with more than 250 steps, and frequent customization of the protocol and variations in bioinformatics methods raise concerns for reproducibility of STARR-seq studies. Here, we assess each step of the protocol and analysis pipelines from published sources and in-house assays, and identify critical steps and quality control (QC) checkpoints necessary for reproducibility of the assay. We also provide guidelines for experimental design, protocol scaling, customization, and analysis pipelines for better adoption of the assay. These resources will allow better optimization of STARR-seq for specific research needs, enable comparisons and integration across studies, and improve the reproducibility of results. Cold Spring Harbor Laboratory Press 2023-04 /pmc/articles/PMC10234304/ /pubmed/37130797 http://dx.doi.org/10.1101/gr.277204.122 Text en © 2023 Das et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see https://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Perspective Das, Maitreya Hossain, Ayaan Banerjee, Deepro Praul, Craig Alan Girirajan, Santhosh Challenges and considerations for reproducibility of STARR-seq assays |
title | Challenges and considerations for reproducibility of STARR-seq assays |
title_full | Challenges and considerations for reproducibility of STARR-seq assays |
title_fullStr | Challenges and considerations for reproducibility of STARR-seq assays |
title_full_unstemmed | Challenges and considerations for reproducibility of STARR-seq assays |
title_short | Challenges and considerations for reproducibility of STARR-seq assays |
title_sort | challenges and considerations for reproducibility of starr-seq assays |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10234304/ https://www.ncbi.nlm.nih.gov/pubmed/37130797 http://dx.doi.org/10.1101/gr.277204.122 |
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