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David Bars-Cortina on Muck Rack

David Bars-Cortina

As seen in: MDPI, BMC Genomics, BioRxiv, HAL
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Articles

Mucin Dynamics in the Respiratory Tract of Poly-Infected Dairy Calves: Histological Insights

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By David Bars-Cortina, Génétique Animale, Biologie Intégrative, Guenaelle Derolez
| HAL
Poster De Conférence Année : 2025 Mucin Dynamics in the Respiratory Tract of Poly-Infected Dairy Calves: Histological Insights Domaines Origine Fichiers produits par l'(les) auteur(s) hal-05446988 , version 1 (07-01-2026) HAL Id : hal-05446988 , version 1 Guenaelle Derolez, David Bars-Cortina, F. Mompart, Agnès Poujade, Eric A. Richard, et al.. Mucin Dynamics in the Respiratory Tract of Poly-Infected Dairy Calves: Histological Insights. Trans Mucus Network meeting, Nov 2025, Nice, France.
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Dietary Pattern’s Role in Hepatic Epigenetic and Dietary Recommendations for the Prevention of NAFLD

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By David Bars-Cortina, Martín Barraza
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Stability of Oral and Fecal Microbiome at Room Temperature: Impact on Diversity

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By David Bars-Cortina, Olfat Khannous-Lleiffe, Ainhoa Garcia-Serrano, Blanca Rius-Sansalvador
| BioRxiv
Abstract When collecting oral and fecal samples for large epidemiological microbiome studies, optimal storage conditions such as immediate freezing, are not always feasible. It is fundamental to study the impact of temporary room temperature (RT) storage and shipping on the microbiome diversity obtained in different types of samples. We performed a pilot study aimed at validating the sampling protocol based on the viability of the 16S rRNA gene sequencing in microbiome samples.
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