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Boyang Ji
Researcher at Chalmers University of Technology
Publications - 73
Citations - 2007
Boyang Ji is an academic researcher from Chalmers University of Technology. The author has contributed to research in topics: Microbiome & Gut flora. The author has an hindex of 18, co-authored 56 publications receiving 1231 citations. Previous affiliations of Boyang Ji include Aix-Marseille University & Technical University of Denmark.
Papers
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Journal ArticleDOI
Compositional and functional differences of the mucosal microbiota along the intestine of healthy individuals
Stefania Vaga,Sunjae Lee,Boyang Ji,Anna Andreasson,Anna Andreasson,Anna Andreasson,Nicholas J. Talley,Lars Agréus,Gholamreza Bidkhori,Petia Kovatcheva-Datchary,Petia Kovatcheva-Datchary,Jun-Seok Park,Doheon Lee,Gordon Proctor,Stanislav Dusko Ehrlich,Jens Nielsen,Lars Engstrand,Saeed Shoaie,Saeed Shoaie +18 more
TL;DR: This work used shotgun metagenomics of mucosal biopsies to explore the microbial communities’ compositions of terminal ileum and large intestine in 5 healthy individuals, and details which species are involved with the tryptophan/indole pathway and the antimicrobial resistance biogeography along the intestine.
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Global analysis of biosynthetic gene clusters reveals vast potential of secondary metabolite production in Penicillium species.
Jens Nielsen,Sietske Grijseels,Sylvain Prigent,Boyang Ji,Jacques Dainat,Kristian Fog Nielsen,Jens Christian Frisvad,Mhairi Workman,Jens B. Nielsen +8 more
TL;DR: This study sequenced the genomes of 9 Penicillium species and identified an immense, unexploited potential for producing secondary metabolites by this genus, which highlights the potential of these species as a source of new antibiotics and other pharmaceuticals.
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Human gut microbiota and healthy aging: Recent developments and future prospective
TL;DR: This work has shown that genome-scale metabolic modeling can help to explore the connections between diet, microbes, and host as well as to expand the understanding of the metabolic capability of each species in the gut microbiota.
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Modelling approaches for studying the microbiome.
TL;DR: This Review summarizes mathematical modelling approaches that can be applied to microbiome datasets, providing insights into microbial dynamics and interactions in this complex system.
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Metabolic engineering for increased lipid accumulation in Yarrowia lipolytica - A Review.
TL;DR: This review highlights the newest strategies for increasing lipid accumulation using metabolic engineering and summarize the research advances on the overaccumulation of lipids in Y. lipolytica.