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A database of breast oncogenic specific siRNAs
Breast cancer is a serious problem causing the death of women across the world. At present, one of the major challenges is to design drugs to target breast cancer specific gene(s). RNA interference (RNAi) is an important technique for targeted gene silencing that may lead to promising novel therapeu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562753/ https://www.ncbi.nlm.nih.gov/pubmed/28821760 http://dx.doi.org/10.1038/s41598-017-08948-1 |
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author | Tyagi, Atul Semwal, Manoj Sharma, Ashok |
author_facet | Tyagi, Atul Semwal, Manoj Sharma, Ashok |
author_sort | Tyagi, Atul |
collection | PubMed |
description | Breast cancer is a serious problem causing the death of women across the world. At present, one of the major challenges is to design drugs to target breast cancer specific gene(s). RNA interference (RNAi) is an important technique for targeted gene silencing that may lead to promising novel therapeutic strategies for breast cancer. Therefore, identification of such molecules having high oncogene specificity is the need of the hour. Here, we have developed a database named as Breast Oncogenic Specific siRNAs (BOSS, http://bioinformatics.cimap.res.in/sharma/boss/) on the basis of the current research status on siRNA-mediated repression of oncogenes in different breast cancer cell lines. BOSS is a resource of experimentally validated breast oncogenic siRNAs, collected from research articles and patents published yet. The present database contains information on 865 breast oncogenic siRNA entries. Each entry provides comprehensive information of an siRNA that includes its name, sequence, target gene, type of cells, and inhibition value, etc. Additionally, some useful tools like siRNAMAP and BOSS BLAST were also developed and linked with the database. siRNAMAP can be used for the selection of best siRNA against a target gene while BOSS BLAST tool helps to locate the siRNA sequences in deferent oncogenes. |
format | Online Article Text |
id | pubmed-5562753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55627532017-08-21 A database of breast oncogenic specific siRNAs Tyagi, Atul Semwal, Manoj Sharma, Ashok Sci Rep Article Breast cancer is a serious problem causing the death of women across the world. At present, one of the major challenges is to design drugs to target breast cancer specific gene(s). RNA interference (RNAi) is an important technique for targeted gene silencing that may lead to promising novel therapeutic strategies for breast cancer. Therefore, identification of such molecules having high oncogene specificity is the need of the hour. Here, we have developed a database named as Breast Oncogenic Specific siRNAs (BOSS, http://bioinformatics.cimap.res.in/sharma/boss/) on the basis of the current research status on siRNA-mediated repression of oncogenes in different breast cancer cell lines. BOSS is a resource of experimentally validated breast oncogenic siRNAs, collected from research articles and patents published yet. The present database contains information on 865 breast oncogenic siRNA entries. Each entry provides comprehensive information of an siRNA that includes its name, sequence, target gene, type of cells, and inhibition value, etc. Additionally, some useful tools like siRNAMAP and BOSS BLAST were also developed and linked with the database. siRNAMAP can be used for the selection of best siRNA against a target gene while BOSS BLAST tool helps to locate the siRNA sequences in deferent oncogenes. Nature Publishing Group UK 2017-08-18 /pmc/articles/PMC5562753/ /pubmed/28821760 http://dx.doi.org/10.1038/s41598-017-08948-1 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 Tyagi, Atul Semwal, Manoj Sharma, Ashok A database of breast oncogenic specific siRNAs |
title | A database of breast oncogenic specific siRNAs |
title_full | A database of breast oncogenic specific siRNAs |
title_fullStr | A database of breast oncogenic specific siRNAs |
title_full_unstemmed | A database of breast oncogenic specific siRNAs |
title_short | A database of breast oncogenic specific siRNAs |
title_sort | database of breast oncogenic specific sirnas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562753/ https://www.ncbi.nlm.nih.gov/pubmed/28821760 http://dx.doi.org/10.1038/s41598-017-08948-1 |
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