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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

This protocol provides a simple, cost-effective DNA isolation method for the analysis of murine gut microbiota alterations during the development of autoimmune disease.

Abstract

Gut microbiota has an important role in educating the immune system. This relationship is extremely important for understanding autoimmune diseases that are not only driven by genetic factors, but also environmental factors that can trigger the onset and/or worsen the disease course. A previously published study on the dynamics of the gut microbiota in lupus-prone MRL/lpr female mice showed how changes of the gut microbiota can alter disease progression. Here, a protocol is described for extracting representative samples from the gut microbiota for studies of autoimmunity. Microbiota samples are collected from the anus and processed, from which the DNA is extracted using a phenol-chloroform method and purified by alcohol precipitation. After PCR is performed, purified amplicons are sequenced using a Next Generation Sequencing platform at Argonne National Laboratory. Finally, the 16S ribosomal RNA gene sequencing data is analyzed. As an example, data obtained from gut microbiota comparisons of MRL/lpr mice with or without CX3CR1 are shown. Results showed significant differences in genera containing pathogenic bacteria such as those in the phylum Proteobacteria, as well as the genus Bifidobacterium, which is considered part of the healthy commensal microbiota. In summary, this simple, cost-effective DNA isolation method is reliable and can help the investigation of gut microbiota changes associated with autoimmune diseases.

Introduction

Humans and bacteria have coexisted for a long time. They have established a codependent relationship with mutual beneficial effects that influences host immune responses in quantitative and qualitative ways1. Recent studies suggest an association between the gut microbiota composition and the pathogenesis of autoimmune diseases that include multiple sclerosis2, rheumatoid arthritis3, type 2 diabetes4, Inflammatory bowel disease5, and systemic lupus erythematosus (SLE)6. However, whether the gut microbiota is the main cause or ....

Protocol

The Cx3cr1gfp/gfp locus of B6.129P2(Cg)-Cx3cr1tm1Litt/J mice was backcrossed to MRL/MpJ-Faslpr/J (MRL/lpr) for 10 generations to generate MRL/lpr-CX3CR1gfp/gfp mice. Genome screening using single nucleotide polymorphism (SNP) panels confirmed that the genetic background of newly generated mice was more than 97% identical to that of MRL/lpr. After that, mice were bred and maintained in a specific pathogen-free environment following the specific requi.......

Representative Results

The results from Argonne National Laboratory are analyzed by a qualified bioinformatician, followed by an in-house analysis of the data using standard statistical methods. Typical microbiome analyses involve clustering of similar sequences into operational taxonomic units (OTUs) or amplicon sequence variants (ASVs) as a proxy for different microorganisms in a sample. Counts of OTUs or ASVs across samples can then be used to test for changes in within-sample (alpha) diversity and between-sample (beta) diversity. They can .......

Discussion

Balanced gut microbiota can protect the human body from diseases. Once this balance is disrupted by external or internal triggers, consequences can be devastating. This method presents a way to analyze the dynamics of gut microbiota in murine models. The method is suitable not only for comparisons among groups but also for tracking the gut microbiota over time to better identify time-dependent factors disrupting the gut microbiota.

All the mice in the experiment must be handled in the same env.......

Acknowledgements

We appreciate the help from the Argonne National Laboratory and our collaborating bioinformaticians. This work is supported by various NIH and internal grants.

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Materials

NameCompanyCatalog NumberComments
0.1 mm glass beadsBioSpec Products11079101
2 mL screw cap tubesThermo Fisher Scientific3488
20% SDSFisherScientificBP1311-1SDS 20%
96% Ethanol, Molecular Biology GradeThermo Fisher ScientificT032021000CS
Ammonium Acetate (5 M)Thermo Fisher ScientificAM9071NH4AC 5M
B6.129P2(Cg)-Cx3cr1tm1Litt/JJackson Laboratory005582
Bullet Blender storm 24Next Advance4116-BBY24MHomogenizer
ChloroformFisherScientificC298-500
DEPC-Treated WaterThermo Fisher ScientificAM9916
Ethylenediamine Tetraacetic AcidFisherScientificBP118-500EDTA
Foil plate sealFisherScientificNC0302491
Kimwipes-Kimtech 34256FisherScientific06-666C
MRL/MpJ-Faslpr/J (MRL/lpr) miceJackson Laboratory000485
Nanodrop 2000 spectrophotomerThermo Fisher ScientificND2000CLAPTOP
Phenol: chloroform: isoamylalchohol (25:24:1)FisherScientificBP1752I-400PCI
Scale with 4 decimalsMettler ToledoMS205DU
Skirted 96-well platesThermo Fisher ScientificAB-0800
Sodium chlorideFisherScientific15528154NaCl
Tris HydrochlorideFisherScientificBP1757-100
VortexScientific IndustriesSI-0236

References

  1. Lee, Y. K., Mazmanian, S. K. Has the microbiota played a critical role in the evolution of the adaptive immune system. Science. 330 (6012), 1768-1773 (2010).
  2. Lee, Y. K., Menezes, J. S., Umesaki, Y., Mazmanian, S. K.

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