| Chapter title |
Intestinal Organoids as a Novel Tool to Study Microbes–Epithelium Interactions
|
|---|---|
| Chapter number | 12 |
| Book title |
Organoids
|
| Published in |
Methods in molecular biology, September 2016
|
| DOI | 10.1007/7651_2016_12 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7616-4, 978-1-4939-7617-1
|
| Authors |
Nigro, Giulia, Hanson, Melissa, Fevre, Cindy, Lecuit, Marc, Sansonetti, Philippe J, Giulia Nigro, Melissa Hanson, Cindy Fevre, Marc Lecuit, Philippe J. Sansonetti, Sansonetti, Philippe J. |
| Abstract |
The gut, particularly the colon, is the host of approximately 1000 bacterial species, the so-called gut microbiota. The relationship between the gut microbiota and the host is symbiotic and mutualistic, influencing many aspects of the biology of the host. This homeostatic balance can be disrupted by enteric pathogens, such as Shigella flexneri or Listeria monocytogenes, which are able to invade the epithelial layer and consequently subvert physiological functions. To study the host-microbe interactions in vitro, the crypt culture model, known as intestinal organoids, is a powerful tool. Intestinal organoids provide a model in which to examine the response of the epithelium, particularly the response of intestinal stem cells, to the presence of bacteria. Furthermore, the organoid model enables the study of pathogens during the early steps of enteric pathogen invasion.Here, we describe methods that we have established to study the cellular microbiology of symbiosis between the gut microbiota and host intestinal surface and secondly the disruption of host homeostasis due to an enteric pathogen. |
X Demographics
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| Country | Count | As % |
|---|---|---|
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| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 10 | 17% |
| Student > Master | 10 | 17% |
| Student > Bachelor | 7 | 12% |
| Other | 4 | 7% |
| Other | 7 | 12% |
| Unknown | 9 | 15% |
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|---|---|---|
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| Immunology and Microbiology | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 8 | 14% |
| Medicine and Dentistry | 7 | 12% |
| Engineering | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 13 | 22% |