Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Kai-Pu, Hsu, Chia-Lang, Oyang, Yen-Jen, Huang, Hsuan-Cheng, Juan, Hsueh-Fen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
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
_version_ 1784866632339816448
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
work_keys_str_mv AT chenkaipu bicadatabaseforthetranscriptionallandscapeofbacteriaincancer
AT hsuchialang bicadatabaseforthetranscriptionallandscapeofbacteriaincancer
AT oyangyenjen bicadatabaseforthetranscriptionallandscapeofbacteriaincancer
AT huanghsuancheng bicadatabaseforthetranscriptionallandscapeofbacteriaincancer
AT juanhsuehfen bicadatabaseforthetranscriptionallandscapeofbacteriaincancer