ArticleNucleic acids research2023
microbioTA: an atlas of the microbiome in multiple disease tissues of Homo sapiens and Mus musculus.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Potential mechanisms underlyingmBio · 2026Article
- HGMT: a database of human gut microbiota for tumors and immunotherapy response.Genome biology · 2025Article
- Transcriptomic signatures of prostate cancer progression: a comprehensive RNA-seq study.3 Biotech · 2025Article
- Beyond the Gut: The intratumoral microbiome's influence on tumorigenesis and treatment response.Cancer communications (London, England) · 2024Review
- VMAP: Vaginal Microbiome Atlas during Pregnancy.JAMIA open · 2024Article
- The 2023 Nucleic Acids Research Database Issue and the online molecular biology database collection.Nucleic acids research · 2023Article
- Recognition of outer membrane proteins using multiple feature fusion.Frontiers in genetics · 2023Article
- The microbiome types of colorectal tissue are potentially associated with the prognosis of patients with colorectal cancer.Frontiers in microbiology · 2023Article
- The Gut-Joint Axis in Hip Osteoarthritis: Distinct Articular Microbial Profiles and Metabolic Potential Compared With Nonarthritic Controls.JB & JS open accessArticle
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
microbioTA (http://bio-annotation.cn/microbiota) was constructed to provide a comprehensive, user-friendly resource for the application of microbiome data from diseased tissues, helping users improve their general knowledge and deep understanding of tissue-derived microbes. Various microbes have been found to colonize cancer tissues and play important roles in cancer diagnoses and outcomes, with many studies focusing on developing better cancer-related microbiome data. However, there are currently no independent, comprehensive open resources cataloguing cancer-related microbiome data, which limits the exploration of the relationship between these microbes and cancer progression. Given this, we propose a new strategy to re-align the existing next-generation sequencing data to facilitate the mining of hidden sequence data describing the microbiome to maximize available resources. To this end, we collected 417 publicly available datasets from 25 human and 14 mouse tissues from the Gene Expression Omnibus database and use these to develop a novel pipeline to re-align microbiome sequences facilitating in-depth analyses designed to reveal the microbial profile of various cancer tissues and their healthy controls. microbioTA is a user-friendly online platform which allows users to browse, search, visualize, and download microbial abundance data from various tissues along with corresponding analysis results, aimimg at providing a reference for cancer-related microbiome research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.