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Dive into the research topics where Sandrine Lagarrigue is active.

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Featured researches published by Sandrine Lagarrigue.


Genetics Selection Evolution | 2000

Messenger RNA levels and transcription rates of hepatic lipogenesis genes in genetically lean and fat chickens

Stéphanie Daval; Sandrine Lagarrigue; Madeleine Douaire

Levels of body fat content in commercial meat chickens have prompted research in order to control the development of this trait. Based on experimentally selected divergent lean and fat lines, many studies have shown that liver metabolism has a major role in the fatness variability. In order to identify which genes are involved in this variability, we investigated the expression of several genes implicated in the hepatic lipid metabolism. The studied genes code for enzymes of fatty acid synthesis [ATP citrate-lyase (ACL), acetyl-CoA carboxylase (ACC), fatty acid synthase (FAS), malic enzyme (ME), stearoyl-CoA desaturase (SCD1)], for an apolipoprotein [apolipoprotein A1 (APOA1)], and for the CCAAT/enhancer binding protein α (C/EBPα), which is a transcription factor implied in the regulation of several genes of lipid metabolism. The results show that the fat-line chickens display significantly higher hepatic transcription rates and mRNA levels than the lean-line chickens for the ACL, ME and APOA1 genes. This suggests that these genes could be responsible for the phenotypic fatness variability.


Genetics Selection Evolution | 2000

Hepatic lipogenesis gene expression in two experimental egg-laying lines divergently selected on residual food consumption.

Sandrine Lagarrigue; Stéphanie Daval; A. Bordas; Madeleine Douaire

Two Rhode Island Red egg-laying lines have been divergently selected on residual food intake (low intake R- line, high intake R+ line) for 19 generations. In addition to direct response, correlated responses have altered several other traits such as carcass adiposity and lipid contents of several tissues, the R+ animals being leaner than the R- ones. In a search for the biological origin of the differences observed in fat deposit, the hepatic mRNA amounts of genes involved in lipid metabolism were investigated. No difference was found between lines for mRNA levels of ATP citrate-lyase, acetyl-CoA carboxylase, fatty acid synthase, malic enzyme and CCAAT/enhancer binding protein α, a transcription factor acting on several lipogenesis genes. The genes coding for stearoyl-CoA desaturase and apolipoprotein A1 displayed significantly lower mRNA levels in the R+ cockerels compared to the R-. All together these mRNA levels explained 40% of the overall variability of abdominal adipose tissue weight, suggesting an important role of both genes in the fatness variability.


BMC Genomics | 2016

Thermal manipulation of the chicken embryo triggers differential gene expression in response to a later heat challenge

Thomas Loyau; Christelle Hennequet-Antier; Vincent Coustham; Cécile Berri; Marie Leduc; Sabine Crochet; Mélanie Sannier; M. J. Duclos; Sandrine Mignon-Grasteau; Sophie Tesseraud; Aurélien Brionne; Sonia Métayer-Coustard; Marco Moroldo; Jérôme Lecardonnel; Patrice Martin; Sandrine Lagarrigue; S. Yahav; Anne Collin

BackgroundMeat type chickens have limited capacities to cope with high environmental temperatures, this sometimes leading to mortality on farms and subsequent economic losses. A strategy to alleviate this problem is to enhance adaptive capacities to face heat exposure using thermal manipulation (TM) during embryogenesis. This strategy was shown to improve thermotolerance during their life span. The aim of this study was to determine the effects of TM (39.5xa0°C, 12xa0h/24 vs 37.8xa0°C from d7 to d16 of embryogenesis) and of a subsequent heat challenge (32xa0°C for 5xa0h) applied on d34 on gene expression in the Pectoralis major muscle (PM). A chicken gene expression microarray (8u2009×u200960xa0K) was used to compare muscle gene expression profiles of Control (C characterized by relatively high body temperatures, Tb) and TM chickens (characterized by a relatively low Tb) reared at 21xa0°C and at 32xa0°C (CHC and TMHC, respectively) in a dye-swap design with four comparisons and 8 broilers per treatment. Real-time quantitative PCR (RT-qPCR) was subsequently performed to validate differential expression in each comparison. Gene ontology, clustering and network building strategies were then used to identify pathways affected by TM and heat challenge.ResultsAmong the genes differentially expressed (DE) in the PM (1.5xa0% of total probes), 28 were found to be differentially expressed between C and TM, 128 between CHC and C, and 759 between TMHC and TM. No DE gene was found between TMHC and CHC broilers. The majority of DE genes analyzed by RT-qPCR were validated. In the TM/C comparison, DE genes were involved in energy metabolism and mitochondrial function, cell proliferation, vascularization and muscle growth; when comparing heat-exposed chickens to their own controls, TM broilers developed more specific pathways than C, especially involving genes related to metabolism, stress response, vascularization, anti-apoptotic and epigenetic processes.ConclusionsThis study improved the understanding of the long-term effects of TM on PM muscle. TM broilers displaying low Tb may have lower metabolic intensity in the muscle, resulting in decreased metabolic heat production, whereas modifications in vascularization may enhance heat loss. These specific changes could in part explain the better adaptation of TM broilers to heat.


Gene | 2006

Microarray analysis of differential gene expression in the liver of lean and fat chickens.

Emmanuelle Bourneuf; Frédéric Herault; Céline Chicault; Wilfrid Carré; Sirine Assaf; Annabelle Monnier; Stéphanie Mottier; Sandrine Lagarrigue; Madeleine Douaire; Jean Mosser; Christian Diot


Comparative Biochemistry and Physiology B | 2004

Genetic linkage and expression analysis of SREBP and lipogenic genes in fat and lean chicken.

Sirine Assaf; Sandrine Lagarrigue; Stéphanie Daval; Manuella Sansom; B. Leclercq; Joël Michel; Frédérique Pitel; Mehdi Alizadeh; Alain Vignal; Madeleine Douaire


14. European Poultry Conference | 2014

Performance, carcass traits and meat quality of genetically fat and lean broilers are unaffected by dietary energy source

E. Baéza; Pascal Chartrin; Anne Collin; Sonia Métayer-Coustard; Cécile Berri; Irène Gabriel; Agnès Narcy; Michel Lessire; Maëva Jégou; Elisabeth Duval; Sandrine Lagarrigue; Florence Gondret; M. J. Duclos


36th International Society for Animal Genetics Conference | 2017

Profiling the landscape of transcription, chromatin accessibility and chromosome conformation of cattle, pig, chicken and goat genomes [FAANG pilot project]

Sylvain Foissac; Sarah Djebali Quelen; Hervé Acloque; Philippe Bardou; Fany Blanc; Cédric Cabau; Thomas Derrien; Françoise Drouet; Diane Esquerre; Stéphane Fabre; Christine Gaspin; Ignacio González; Adeline Goubil; Christophe Klopp; Fabrice Laurent; Sylvain Marthey; Maria Marti-Marimon; Florence Mompart; Kylie Munyard; Kévin Muret; Sophie Pollet; Pascale Quéré; Andrea Rau; David Robelin; Magali San Cristobal; Michèle Tixier-Boichard; Gwenola Tosser-Klopp; Nathalie Villa-Vialaneix; Silvia Vincent-Naulleau; Matthias Zytnicki


36. Conference of the International Society for Animal Genetics (ISAG) | 2017

Long-non coding RNAs repertoires in liver and two T lymphocyte cell types in four livestock species

Kévin Muret; Sarah Djebali Quelen; Thomas Derrien; Cédric Cabau; Christophe Klopp; Diane Esquerre; Kylie Munyard; Gwenola Tosser-Klopp; Hervé Acloque; Elisabetta Giuffra; Sylvain Foissac; Sandrine Lagarrigue


34. Colloque de la Société de Neuroendocrinologie | 2016

Effets durables d’un stress post-natal au cours de la vie du poulet d’élevage : recherche de marqueurs par analyse transcriptomique

Aline Foury; Jean-Christophe Helbling; Anne Collin-Chenot; Sabine Crochet; Sandrine Lagarrigue; Colette Désert; Frédéric Mercerand; Joël Delaveau; Christine Leterrier; Alexia Koch; Laurence A. Guilloteau; Marie-Pierre Moisan


JOBIM 2015- 16e Journées Ouvertes en Biologie, Informatique et Mathématiques | 2015

Comparaison des cibles d’une matrice de score et d’une expression régulière. Application à la recherche de sites de fixation du facteur de transcription LXR

Aymeric Antoine-Lorquin; Sandrine Lagarrigue; Frédéric Lecerf; Jacques Nicolas; Catherine Belleannée

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M. J. Duclos

Institut national de la recherche agronomique

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Marco Moroldo

Institut national de la recherche agronomique

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Colette Désert

Institut national de la recherche agronomique

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Cécile Berri

Institut national de la recherche agronomique

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Christophe Klopp

Institut national de la recherche agronomique

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Diane Esquerre

Institut national de la recherche agronomique

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Elisabeth Duval

Institut national de la recherche agronomique

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Frédérique Pitel

Institut national de la recherche agronomique

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Anne Collin

Institut national de la recherche agronomique

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