Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation
Summary: Network analysis is a powerful tool for investigating complex interactions between different microbial taxa within a community. We present a protocol to study the gut microbial community in a mouse model of breast cancer using a network-based approach. Here, we describe the procedures for t...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | STAR Protocols |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666166725000243 |
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| _version_ | 1825199424989560832 |
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| author | Ana Laura Cano-Argüelles Alejandra Wu-Chuang Lourdes Mateos-Hernandez Lianet Abuin-Denis Apolline Maitre Janet Avellanet Arlem García Dasha Fuentes Alejandro Cabezas-Cruz |
| author_facet | Ana Laura Cano-Argüelles Alejandra Wu-Chuang Lourdes Mateos-Hernandez Lianet Abuin-Denis Apolline Maitre Janet Avellanet Arlem García Dasha Fuentes Alejandro Cabezas-Cruz |
| author_sort | Ana Laura Cano-Argüelles |
| collection | DOAJ |
| description | Summary: Network analysis is a powerful tool for investigating complex interactions between different microbial taxa within a community. We present a protocol to study the gut microbial community in a mouse model of breast cancer using a network-based approach. Here, we describe the procedures for tumor cell production and inoculation and 16S rRNA data processing. We then detail steps for constructing co-occurrence networks based on correlations between microbial abundances.For complete details on the use and execution of this protocol, please refer to Wu-Chuang et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. |
| format | Article |
| id | doaj-art-72bc333725ce41ff91c705edfb420138 |
| institution | Kabale University |
| issn | 2666-1667 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | STAR Protocols |
| spelling | doaj-art-72bc333725ce41ff91c705edfb4201382025-02-08T05:01:16ZengElsevierSTAR Protocols2666-16672025-03-0161103618Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulationAna Laura Cano-Argüelles0Alejandra Wu-Chuang1Lourdes Mateos-Hernandez2Lianet Abuin-Denis3Apolline Maitre4Janet Avellanet5Arlem García6Dasha Fuentes7Alejandro Cabezas-Cruz8Parasitology Laboratory, Institute of Natural Resources and Agrobiology of Salamanca (IRNASA, CSIC), Cordel de Merinas, 40-52, 37008 Salamanca, SpainAnses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France; Corresponding authorAnses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, FranceAnses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France; Animal Biotechnology Department, Center for Genetic Engineering and Biotechnology, Avenue 31 between 158 and 190, P.O. Box 6162, Havana 10600, CubaAnses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France; INRAE, UR 0045 Laboratoire de Recherches Sur Le Développement de L’Elevage (SELMET-LRDE), Corte, France; EA 7310, Laboratoire de Virologie, Université de Corse, Corte, FranceCenter of Molecular Immunology (CIM), Calle 15 esq. 216, Atabey, Playa, Havana, CubaCenter of Molecular Immunology (CIM), Calle 15 esq. 216, Atabey, Playa, Havana, CubaNational Center for Laboratory Animal Breeding (CENPALAB), Calle 3ra # 40759 entre 6ta y carretera de Tirabeque, Rpto La Unión, Boyeros, Havana, Cuba; Corresponding authorAnses, INRAE, Ecole Nationale Vétérinaire d’Alfort, UMR BIPAR, Laboratoire de Santé Animale, 94700 Maisons-Alfort, France; Corresponding authorSummary: Network analysis is a powerful tool for investigating complex interactions between different microbial taxa within a community. We present a protocol to study the gut microbial community in a mouse model of breast cancer using a network-based approach. Here, we describe the procedures for tumor cell production and inoculation and 16S rRNA data processing. We then detail steps for constructing co-occurrence networks based on correlations between microbial abundances.For complete details on the use and execution of this protocol, please refer to Wu-Chuang et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166725000243CancerMicrobiologyModel OrganismsSystems biology |
| spellingShingle | Ana Laura Cano-Argüelles Alejandra Wu-Chuang Lourdes Mateos-Hernandez Lianet Abuin-Denis Apolline Maitre Janet Avellanet Arlem García Dasha Fuentes Alejandro Cabezas-Cruz Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation STAR Protocols Cancer Microbiology Model Organisms Systems biology |
| title | Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation |
| title_full | Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation |
| title_fullStr | Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation |
| title_full_unstemmed | Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation |
| title_short | Protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation |
| title_sort | protocol to study the impact of breast cancer on colonization resistance of mouse microbiota using network node manipulation |
| topic | Cancer Microbiology Model Organisms Systems biology |
| url | http://www.sciencedirect.com/science/article/pii/S2666166725000243 |
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