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      Quantitative Imaging of Gut Microbiota Spatial Organization

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          Summary

          Genomic technologies have significantly advanced our understanding of the composition and diversity of host-associated microbial populations. However, their spatial organization and functional interactions relative to the host have been more challenging to study. Here we present a pipeline for the assessment of intestinal microbiota localization within immunofluorescence images of fixed gut cross-sections that includes a flexible software package, BacSpace, for high-throughput quantification of microbial organization. Applying this pipeline to gnotobiotic and human microbiota-colonized mice, we demonstrate that elimination of microbiota accessible carbohydrates (MACs) from the diet results in thinner mucus in the distal colon, increased proximity of microbes to the epithelium, and heightened expression of the inflammatory marker REG3β. Measurements of microbe-microbe proximity reveal that a MAC-deficient diet alters monophyletic spatial clustering. Furthermore, we quantify the invasion of Helicobacter pylori into the glands of the mouse stomach relative to host mitotic progenitor cells, illustrating the generalizability of this approach.

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          Author and article information

          Journal
          101302316
          33345
          Cell Host Microbe
          Cell Host Microbe
          Cell host & microbe
          1931-3128
          1934-6069
          21 October 2015
          01 October 2015
          14 October 2015
          14 October 2016
          : 18
          : 4
          : 478-488
          Affiliations
          [§ ]Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
          [# ]Department of Physics, Stanford University, Stanford, CA 94305, USA
          []Department of Medical Biochemistry, University of Gothenburg, 40530, Gothenburg, Sweden
          [π ]Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
          []Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
          Author notes
          []Address correspondence to: jsonnenburg@ 123456stanford.edu (650) 721-1510 kchuang@ 123456stanford.edu (650) 721-2483
          [*]

          Contributed equally

          Article
          PMC4628835 PMC4628835 4628835 nihpa728947
          10.1016/j.chom.2015.09.002
          4628835
          26439864
          d49d39cd-d2fb-499e-ac99-9c8a9d6b1beb
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