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iCSDB: an integrated database of CRISPR screens
High-throughput screening based on CRISPR-Cas9 libraries has become an attractive and powerful technique to identify target genes for functional studies. However, accessibility of public data is limited due to the lack of user-friendly utilities and up-to-date resources covering experiments from thi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779034/ https://www.ncbi.nlm.nih.gov/pubmed/33137185 http://dx.doi.org/10.1093/nar/gkaa989 |
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author | Choi, Ahyoung Jang, Insu Han, Heewon Kim, Min-Seo Choi, Jinhyuk Lee, Jieun Cho, Sung-Yup Jun, Yukyung Lee, Charles Kim, Jaesang Lee, Byungwook Lee, Sanghyuk |
author_facet | Choi, Ahyoung Jang, Insu Han, Heewon Kim, Min-Seo Choi, Jinhyuk Lee, Jieun Cho, Sung-Yup Jun, Yukyung Lee, Charles Kim, Jaesang Lee, Byungwook Lee, Sanghyuk |
author_sort | Choi, Ahyoung |
collection | PubMed |
description | High-throughput screening based on CRISPR-Cas9 libraries has become an attractive and powerful technique to identify target genes for functional studies. However, accessibility of public data is limited due to the lack of user-friendly utilities and up-to-date resources covering experiments from third parties. Here, we describe iCSDB, an integrated database of CRISPR screening experiments using human cell lines. We compiled two major sources of CRISPR-Cas9 screening: the DepMap portal and BioGRID ORCS. DepMap portal itself is an integrated database that includes three large-scale projects of CRISPR screening. We additionally aggregated CRISPR screens from BioGRID ORCS that is a collection of screening results from PubMed articles. Currently, iCSDB contains 1375 genome-wide screens across 976 human cell lines, covering 28 tissues and 70 cancer types. Importantly, the batch effects from different CRISPR libraries were removed and the screening scores were converted into a single metric to estimate the knockout efficiency. Clinical and molecular information were also integrated to help users to select cell lines of interest readily. Furthermore, we have implemented various interactive tools and viewers to facilitate users to choose, examine and compare the screen results both at the gene and guide RNA levels. iCSDB is available at https://www.kobic.re.kr/icsdb/. |
format | Online Article Text |
id | pubmed-7779034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790342021-01-07 iCSDB: an integrated database of CRISPR screens Choi, Ahyoung Jang, Insu Han, Heewon Kim, Min-Seo Choi, Jinhyuk Lee, Jieun Cho, Sung-Yup Jun, Yukyung Lee, Charles Kim, Jaesang Lee, Byungwook Lee, Sanghyuk Nucleic Acids Res Database Issue High-throughput screening based on CRISPR-Cas9 libraries has become an attractive and powerful technique to identify target genes for functional studies. However, accessibility of public data is limited due to the lack of user-friendly utilities and up-to-date resources covering experiments from third parties. Here, we describe iCSDB, an integrated database of CRISPR screening experiments using human cell lines. We compiled two major sources of CRISPR-Cas9 screening: the DepMap portal and BioGRID ORCS. DepMap portal itself is an integrated database that includes three large-scale projects of CRISPR screening. We additionally aggregated CRISPR screens from BioGRID ORCS that is a collection of screening results from PubMed articles. Currently, iCSDB contains 1375 genome-wide screens across 976 human cell lines, covering 28 tissues and 70 cancer types. Importantly, the batch effects from different CRISPR libraries were removed and the screening scores were converted into a single metric to estimate the knockout efficiency. Clinical and molecular information were also integrated to help users to select cell lines of interest readily. Furthermore, we have implemented various interactive tools and viewers to facilitate users to choose, examine and compare the screen results both at the gene and guide RNA levels. iCSDB is available at https://www.kobic.re.kr/icsdb/. Oxford University Press 2020-11-02 /pmc/articles/PMC7779034/ /pubmed/33137185 http://dx.doi.org/10.1093/nar/gkaa989 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Choi, Ahyoung Jang, Insu Han, Heewon Kim, Min-Seo Choi, Jinhyuk Lee, Jieun Cho, Sung-Yup Jun, Yukyung Lee, Charles Kim, Jaesang Lee, Byungwook Lee, Sanghyuk iCSDB: an integrated database of CRISPR screens |
title | iCSDB: an integrated database of CRISPR screens |
title_full | iCSDB: an integrated database of CRISPR screens |
title_fullStr | iCSDB: an integrated database of CRISPR screens |
title_full_unstemmed | iCSDB: an integrated database of CRISPR screens |
title_short | iCSDB: an integrated database of CRISPR screens |
title_sort | icsdb: an integrated database of crispr screens |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779034/ https://www.ncbi.nlm.nih.gov/pubmed/33137185 http://dx.doi.org/10.1093/nar/gkaa989 |
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