Harnessing gut microbes for glycan detection and quantification.
Harnessing gut microbes for glycan detection and quantification.
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DOI:
10.1038/s41467-022-35626-2
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发表时间:
2023-01-17
影响因子:
16.6
通讯作者:
Townsend, Guy E.
中科院分区:
文献类型:
--
作者:
Modesto, Jennifer L.;Pearce, Victoria H.;Townsend, Guy E.
Glycans facilitate critical biological functions and control the mammalian gut microbiota composition by supplying differentially accessible nutrients to distinct microbial subsets. Therefore, identifying unique glycan substrates that support defined microbial populations could inform therapeutic avenues to treat diseases via modulation of the gut microbiota composition and metabolism. However, examining heterogeneous glycan mixtures for individual microbial substrates is hindered by glycan structural complexity and diversity, which presents substantial challenges to glycomics approaches. Fortuitously, gut microbes encode specialized sensor proteins that recognize unique glycan structures and in-turn activate predictable, specific, and dynamic transcriptional responses. Here, we harness this microbial machinery to indicate the presence and abundance of compositionally similar, yet structurally distinct glycans, using a transcriptional reporter we develop. We implement these tools to examine glycan mixtures, isolate target molecules for downstream characterization, and quantify the recovered products. We assert that this toolkit could dramatically enhance our understanding of the mammalian intestinal environment and identify host-microbial interactions critical for human health. Detecting distinct glycans within heterogeneous mixtures is hindered by glycan structural complexity and diversity. Here the authors exploit the ability of gut microbes to sense different glycan structures in order to develop quantitative glycan biosensors by coupling bacterial detection machinery to an optimised luciferase reporter.
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影响因子:
64.5
作者:
Lim B;Zimmermann M;Barry NA;Goodman AL
通讯作者:
Goodman AL
影响因子:
30.3
作者:
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通讯作者:
Gordon JI
影响因子:
3.2
作者:
Bencivenga-Barry, Natasha A.;Lim, Bentley;Goodman, Andrew L.
通讯作者:
Goodman, Andrew L.
DOI:
10.1073/pnas.2009556117
发表时间:
2020-09-29
影响因子:
11.1
作者:
Garcia-Bayona, Leonor;Coyne, Michael J.;Comstock, Laurie E.
通讯作者:
Comstock, Laurie E.
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8.8
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Liu H;Shiver AL;Price MN;Carlson HK;Trotter VV;Chen Y;Escalante V;Ray J;Hern KE;Petzold CJ;Turnbaugh PJ;Huang KC;Arkin AP;Deutschbauer AM
通讯作者:
Deutschbauer AM