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Cited by 379

The DOI matches its Crossref record; 166 of the 166 references it cites were found in a registry or an index.

Heterogeneity of the gut microbiome in mice: guidelines for optimizing experimental design

Open access
Laukens, Debby, Brinkman, Brigitta M., Raes, Jeroen, De Vos, Martine, Vandenabeele, Peter·2016·FEMS Microbiology Reviews

Abstract

Targeted manipulation of the gut flora is increasingly being recognized as a means to improve human health. Yet, the temporal dynamics and intra- and interindividual heterogeneity of the microbiome represent experimental limitations, especially in human cross-sectional studies. Therefore, rodent models represent an invaluable tool to study the host-microbiota interface. Progress in technical and computational tools to investigate the composition and function of the microbiome has opened a new era of research and we gradually begin to understand the parameters that influence variation of host-associated microbial communities. To isolate true effects from confounding factors, it is essential to include such parameters in model intervention studies. Also, explicit journal instructions to include essential information on animal experiments are mandatory. The purpose of this review is to summarize the factors that influence microbiota composition in mice and to provide guidelines to improve the reproducibility of animal experiments.

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Metadata

Authors
Laukens, D., Brinkman, B. M., Raes, J., De Vos, M., & Vandenabeele, P.
Venue
FEMS Microbiology Reviews
Published
2015-08-30
Volume
40
Issue
1
Pages
117-132
ISSN
  • 0168-6445 (ISSN-L)
  • 1574-6976
OpenAlex
W1716352502
Cited by
379
References
166
FWCI
13.25
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Heterogeneity of the gut microbiome in mice: guidelines for optimizing experimental design. https://app.cochat.ai/papers/10.1093/femsre/fuv036
The paper
Laukens, D., Brinkman, B. M., Raes, J., De Vos, M., & Vandenabeele, P. (2016). Heterogeneity of the gut microbiome in mice: guidelines for optimizing experimental design. FEMS Microbiology Reviews. https://doi.org/10.1093/femsre/fuv036

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.