从物种层面验证法氏囊杆菌与大肠癌的关系

IF 5 2区 生物学 Q1 MICROBIOLOGY mSystems Pub Date : 2024-09-17 DOI:10.1128/msystems.00734-24
Cecilie Bucher-JohannessenThulasika SenthakumaranEkaterina AvershinaEinar BirkelandGeir HoffVahid BemanianHege TunsjøTrine B. Rounge1Department of Research, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway2Department of Tumor Biology, Oslo University Hospital, Oslo, Norway3Center for Bioinformatics, Department of Pharmacy, University of Oslo, Oslo, Norway4Department of Life Sciences and Health, Oslo Metropolitan University, Oslo, Norway5Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway6Section for Colorectal Cancer Screening, Cancer Registry of Norway, Norwegian Institute of Public Health, Oslo, Norway7Telemark Hospital, Skien, Norway8Department of Pathology, Akershus University Hospital, Lørenskog, NorwayJotham Suez
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mSystems, Ahead of Print.
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Species-level verification of Phascolarctobacterium association with colorectal cancer
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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
期刊最新文献
Association of body index with fecal microbiome in children cohorts with ethnic-geographic factor interaction: accurately using a Bayesian zero-inflated negative binomial regression model. Cigarette smoke-induced disordered microbiota aggravates the severity of influenza A virus infection. Deep learning enabled integration of tumor microenvironment microbial profiles and host gene expressions for interpretable survival subtyping in diverse types of cancers. Advancing microbiome research in Māori populations: insights from recent literature exploring the gut microbiomes of underrepresented and Indigenous peoples. Pan-genome-scale metabolic modeling of Bacillus subtilis reveals functionally distinct groups.
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