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BIC: a database for the transcriptional landscape of bacteria in cancer
Microbial communities are massively resident in the human body, yet dysbiosis has been reported to correlate with many diseases, including various cancers. Most studies focus on the gut microbiome, while the bacteria that participate in tumor microenvironments on site remain unclear. Previous studie...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825443/ https://www.ncbi.nlm.nih.gov/pubmed/36263784 http://dx.doi.org/10.1093/nar/gkac891 |
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author | Chen, Kai-Pu Hsu, Chia-Lang Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen |
author_facet | Chen, Kai-Pu Hsu, Chia-Lang Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen |
author_sort | Chen, Kai-Pu |
collection | PubMed |
description | Microbial communities are massively resident in the human body, yet dysbiosis has been reported to correlate with many diseases, including various cancers. Most studies focus on the gut microbiome, while the bacteria that participate in tumor microenvironments on site remain unclear. Previous studies have acquired the bacteria expression profiles from RNA-seq, whole genome sequencing, and whole exon sequencing in The Cancer Genome Atlas (TCGA). However, small-RNA sequencing data were rarely used. Using TCGA miRNA sequencing data, we evaluated bacterial abundance in 32 types of cancer. To uncover the bacteria involved in cancer, we applied an analytical process to align unmapped human reads to bacterial references and developed the BIC database for the transcriptional landscape of bacteria in cancer. BIC provides cancer-associated bacterial information, including the relative abundance of bacteria, bacterial diversity, associations with clinical relevance, the co-expression network of bacteria and human genes, and their associated biological functions. These results can complement previously published databases. Users can easily download the result plots and tables, or download the bacterial abundance matrix for further analyses. In summary, BIC can provide information on cancer microenvironments related to microbial communities. BIC is available at: http://bic.jhlab.tw/. |
format | Online Article Text |
id | pubmed-9825443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254432023-01-10 BIC: a database for the transcriptional landscape of bacteria in cancer Chen, Kai-Pu Hsu, Chia-Lang Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen Nucleic Acids Res Database Issue Microbial communities are massively resident in the human body, yet dysbiosis has been reported to correlate with many diseases, including various cancers. Most studies focus on the gut microbiome, while the bacteria that participate in tumor microenvironments on site remain unclear. Previous studies have acquired the bacteria expression profiles from RNA-seq, whole genome sequencing, and whole exon sequencing in The Cancer Genome Atlas (TCGA). However, small-RNA sequencing data were rarely used. Using TCGA miRNA sequencing data, we evaluated bacterial abundance in 32 types of cancer. To uncover the bacteria involved in cancer, we applied an analytical process to align unmapped human reads to bacterial references and developed the BIC database for the transcriptional landscape of bacteria in cancer. BIC provides cancer-associated bacterial information, including the relative abundance of bacteria, bacterial diversity, associations with clinical relevance, the co-expression network of bacteria and human genes, and their associated biological functions. These results can complement previously published databases. Users can easily download the result plots and tables, or download the bacterial abundance matrix for further analyses. In summary, BIC can provide information on cancer microenvironments related to microbial communities. BIC is available at: http://bic.jhlab.tw/. Oxford University Press 2022-10-20 /pmc/articles/PMC9825443/ /pubmed/36263784 http://dx.doi.org/10.1093/nar/gkac891 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://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 Chen, Kai-Pu Hsu, Chia-Lang Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen BIC: a database for the transcriptional landscape of bacteria in cancer |
title | BIC: a database for the transcriptional landscape of bacteria in cancer |
title_full | BIC: a database for the transcriptional landscape of bacteria in cancer |
title_fullStr | BIC: a database for the transcriptional landscape of bacteria in cancer |
title_full_unstemmed | BIC: a database for the transcriptional landscape of bacteria in cancer |
title_short | BIC: a database for the transcriptional landscape of bacteria in cancer |
title_sort | bic: a database for the transcriptional landscape of bacteria in cancer |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825443/ https://www.ncbi.nlm.nih.gov/pubmed/36263784 http://dx.doi.org/10.1093/nar/gkac891 |
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