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TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer
BACKGROUND: Aberrant alternative splicing plays a key role in cancer development. In recent years, alternative splicing has been used as a prognosis biomarker, a therapy response biomarker, and even as a therapeutic target. Next-generation RNA sequencing has an unprecedented potential to measure the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446222/ https://www.ncbi.nlm.nih.gov/pubmed/30942869 http://dx.doi.org/10.1093/gigascience/giz021 |
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author | Carazo, Fernando Campuzano, Lucía Cendoya, Xabier Planes, Francisco J Rubio, Angel |
author_facet | Carazo, Fernando Campuzano, Lucía Cendoya, Xabier Planes, Francisco J Rubio, Angel |
author_sort | Carazo, Fernando |
collection | PubMed |
description | BACKGROUND: Aberrant alternative splicing plays a key role in cancer development. In recent years, alternative splicing has been used as a prognosis biomarker, a therapy response biomarker, and even as a therapeutic target. Next-generation RNA sequencing has an unprecedented potential to measure the transcriptome. However, due to the complexity of dealing with isoforms, the scientific community has not sufficiently exploited this valuable resource in precision medicine. FINDINGS: We present TranscriptAchilles, the first large-scale tool to predict transcript biomarkers associated with gene essentiality in cancer. This application integrates 412 loss-of-function RNA interference screens of >17,000 genes, together with their corresponding whole-transcriptome expression profiling. Using this tool, we have studied which are the cancer subtypes for which alternative splicing plays a significant role to state gene essentiality. In addition, we include a case study of renal cell carcinoma that shows the biological soundness of the results. The databases, the source code, and a guide to build the platform within a Docker container are available at GitLab. The application is also available online. CONCLUSIONS: TranscriptAchilles provides a user-friendly web interface to identify transcript or gene biomarkers of gene essentiality, which could be used as a starting point for a drug development project. This approach opens a wide range of translational applications in cancer. |
format | Online Article Text |
id | pubmed-6446222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64462222019-04-09 TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer Carazo, Fernando Campuzano, Lucía Cendoya, Xabier Planes, Francisco J Rubio, Angel Gigascience Technical Note BACKGROUND: Aberrant alternative splicing plays a key role in cancer development. In recent years, alternative splicing has been used as a prognosis biomarker, a therapy response biomarker, and even as a therapeutic target. Next-generation RNA sequencing has an unprecedented potential to measure the transcriptome. However, due to the complexity of dealing with isoforms, the scientific community has not sufficiently exploited this valuable resource in precision medicine. FINDINGS: We present TranscriptAchilles, the first large-scale tool to predict transcript biomarkers associated with gene essentiality in cancer. This application integrates 412 loss-of-function RNA interference screens of >17,000 genes, together with their corresponding whole-transcriptome expression profiling. Using this tool, we have studied which are the cancer subtypes for which alternative splicing plays a significant role to state gene essentiality. In addition, we include a case study of renal cell carcinoma that shows the biological soundness of the results. The databases, the source code, and a guide to build the platform within a Docker container are available at GitLab. The application is also available online. CONCLUSIONS: TranscriptAchilles provides a user-friendly web interface to identify transcript or gene biomarkers of gene essentiality, which could be used as a starting point for a drug development project. This approach opens a wide range of translational applications in cancer. Oxford University Press 2019-04-03 /pmc/articles/PMC6446222/ /pubmed/30942869 http://dx.doi.org/10.1093/gigascience/giz021 Text en © The Author(s) 2019. Published by Oxford University Press. 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 | Technical Note Carazo, Fernando Campuzano, Lucía Cendoya, Xabier Planes, Francisco J Rubio, Angel TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
title | TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
title_full | TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
title_fullStr | TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
title_full_unstemmed | TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
title_short | TranscriptAchilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
title_sort | transcriptachilles: a genome-wide platform to predict isoform biomarkers of gene essentiality in cancer |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446222/ https://www.ncbi.nlm.nih.gov/pubmed/30942869 http://dx.doi.org/10.1093/gigascience/giz021 |
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