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Organ-level protein networks as a reference for the host effects of the microbiome
Connections between the microbiome and health are rapidly emerging in a wide range of diseases. However, a detailed mechanistic understanding of how different microbial communities are influencing their hosts is often lacking. One method researchers have used to understand these effects are germ-fre...
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Published in: | Genome research 2020-02, Vol.30 (2), p.276-286 |
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description | Connections between the microbiome and health are rapidly emerging in a wide range of diseases. However, a detailed mechanistic understanding of how different microbial communities are influencing their hosts is often lacking. One method researchers have used to understand these effects are germ-free (GF) mouse models. Differences found within the organ systems of these model organisms may highlight generalizable mechanisms that microbiome dysbioses have throughout the host. Here, we applied multiplexed, quantitative proteomics on the brains, spleens, hearts, small intestines, and colons of conventionally raised and GF mice, identifying associations to colonization state in over 7000 proteins. Highly ranked associations were constructed into protein-protein interaction networks and visualized onto an interactive 3D mouse model for user-guided exploration. These results act as a resource for microbiome researchers hoping to identify host effects of microbiome colonization on a given organ of interest. Our results include validation of previously reported effects in xenobiotic metabolism, the innate immune system, and glutamate-associated proteins while simultaneously providing organism-wide context. We highlight organism-wide differences in mitochondrial proteins including consistent increases in NNT, a mitochondrial protein with essential roles in influencing levels of NADH and NADPH, in all analyzed organs of conventional mice. Our networks also reveal new associations for further exploration, including protease responses in the spleen, high-density lipoproteins in the heart, and glutamatergic signaling in the brain. In total, our study provides a resource for microbiome researchers through detailed tables and visualization of the protein-level effects of microbial colonization on several organ systems. |
doi_str_mv | 10.1101/gr.256875.119 |
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However, a detailed mechanistic understanding of how different microbial communities are influencing their hosts is often lacking. One method researchers have used to understand these effects are germ-free (GF) mouse models. Differences found within the organ systems of these model organisms may highlight generalizable mechanisms that microbiome dysbioses have throughout the host. Here, we applied multiplexed, quantitative proteomics on the brains, spleens, hearts, small intestines, and colons of conventionally raised and GF mice, identifying associations to colonization state in over 7000 proteins. Highly ranked associations were constructed into protein-protein interaction networks and visualized onto an interactive 3D mouse model for user-guided exploration. These results act as a resource for microbiome researchers hoping to identify host effects of microbiome colonization on a given organ of interest. Our results include validation of previously reported effects in xenobiotic metabolism, the innate immune system, and glutamate-associated proteins while simultaneously providing organism-wide context. We highlight organism-wide differences in mitochondrial proteins including consistent increases in NNT, a mitochondrial protein with essential roles in influencing levels of NADH and NADPH, in all analyzed organs of conventional mice. Our networks also reveal new associations for further exploration, including protease responses in the spleen, high-density lipoproteins in the heart, and glutamatergic signaling in the brain. 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Our results include validation of previously reported effects in xenobiotic metabolism, the innate immune system, and glutamate-associated proteins while simultaneously providing organism-wide context. We highlight organism-wide differences in mitochondrial proteins including consistent increases in NNT, a mitochondrial protein with essential roles in influencing levels of NADH and NADPH, in all analyzed organs of conventional mice. Our networks also reveal new associations for further exploration, including protease responses in the spleen, high-density lipoproteins in the heart, and glutamatergic signaling in the brain. In total, our study provides a resource for microbiome researchers through detailed tables and visualization of the protein-level effects of microbial colonization on several organ systems.</description><subject>Animal models</subject><subject>Animals</subject><subject>Brain - metabolism</subject><subject>Brain - microbiology</subject><subject>Colon - metabolism</subject><subject>Colon - microbiology</subject><subject>Colonization</subject><subject>Dysbiosis - genetics</subject><subject>Dysbiosis - microbiology</subject><subject>Gastrointestinal Microbiome - genetics</subject><subject>Germfree</subject><subject>Glutamatergic transmission</subject><subject>Heart</subject><subject>Heart - microbiology</subject><subject>High density lipoprotein</subject><subject>Host-Pathogen Interactions - genetics</subject><subject>Humans</subject><subject>Immune system</subject><subject>Innate immunity</subject><subject>Intestine, Small - metabolism</subject><subject>Intestine, Small - microbiology</subject><subject>Lipoproteins</subject><subject>Liver - metabolism</subject><subject>Liver - microbiology</subject><subject>Mice</subject><subject>Microbiomes</subject><subject>Mitochondria</subject><subject>NADH</subject><subject>Proteins</subject><subject>Proteomics</subject><subject>Researchers</subject><subject>Resource</subject><subject>Spleen</subject><subject>Spleen - metabolism</subject><subject>Spleen - microbiology</subject><issn>1088-9051</issn><issn>1549-5469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpdkUtLAzEUhYMotj6WbiXgxs3UZJJMko0g4gsKBek-ZKY37dSZSU2miv_e1FZRIZDc5OPc3HMQOqNkRCmhV_MwykWhpEil3kNDKrjOBC_0fjoTpTJNBB2goxiXhBDGlTpEA0a1zguaD9HzJMxtlzXwBg1eBd9D3eEO-ncfXiK2aeEADgJ0FWDnA-4XgBc-9hicg6qP2Luvu7augi9r38IJOnC2iXC624_R9P5uevuYjScPT7c346ziivaZoyB5CRyK3DpOBJEEwFaUaFY6RmfMyVwJrYQVZeEk4aK0spDKMlCScXaMrreyq3XZwqyCrg-2MatQtzZ8GG9r8_elqxdm7t-MTL0Eo0ngcicQ_OsaYm_aOlbQNLYDv44mT2blNDlLEnrxD136dejSdImSOjmp9UYw21LJiRiTbT-focRswjLzYLZhpVIn_vz3BD_0dzrsE-9Sj-c</recordid><startdate>20200201</startdate><enddate>20200201</enddate><creator>Mills, Robert H</creator><creator>Wozniak, Jacob M</creator><creator>Vrbanac, Alison</creator><creator>Campeau, Anaamika</creator><creator>Chassaing, Benoit</creator><creator>Gewirtz, Andrew</creator><creator>Knight, Rob</creator><creator>Gonzalez, David J</creator><general>Cold Spring Harbor Laboratory Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0975-9019</orcidid></search><sort><creationdate>20200201</creationdate><title>Organ-level protein networks as a reference for the host effects of the microbiome</title><author>Mills, Robert H ; 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subjects | Animal models Animals Brain - metabolism Brain - microbiology Colon - metabolism Colon - microbiology Colonization Dysbiosis - genetics Dysbiosis - microbiology Gastrointestinal Microbiome - genetics Germfree Glutamatergic transmission Heart Heart - microbiology High density lipoprotein Host-Pathogen Interactions - genetics Humans Immune system Innate immunity Intestine, Small - metabolism Intestine, Small - microbiology Lipoproteins Liver - metabolism Liver - microbiology Mice Microbiomes Mitochondria NADH Proteins Proteomics Researchers Resource Spleen Spleen - metabolism Spleen - microbiology |
title | Organ-level protein networks as a reference for the host effects of the microbiome |
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