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53. Integrated approach combining genetics, genomics and muscle biology to manage beef quality

54. Influence of feeding level during postweaning growth on circulating concentrations of thyroid hormones and extrathyroidal 5'-deiodination in steers

63. Myostatin inactivation induces a similar muscle molecular signature in double-muscled cattle as in mice.

64. Influence of feeding level duration during postweaning growth on circulating concentrations of thyroid hormones and extrathyroid 5'-deiodination in steers.

65. Mitochondrial activity is involved in the regulation of myoblast differentiation through myogenin expression and activity of myogenic factors.

66. Induction of c-Erb A-AP-1 interactions and c-Erb A transcriptional activity in myoblasts by RXR. Consequences for muscle differentiation.

67. A 43-kDa protein related to c-Erb A alpha 1 is located in the mitochondrial matrix of rat liver.

70. Validation of a dot-blot quantitative technique for large scale analysis of beef tenderness biomarkers

71. A cDNA macroarray resource for gene expression profiling in ruminant tissues involved in reproduction and production (milk and beef) traits

74. Association rule mining to help detect plant phenolic compounds putatively involved in decreased ruminal methane production in vitro

75. Production and metabolic responses of Montbéliarde and Holstein cows during periparturient period and a sequential feed restriction challenge.

76. Transcriptome profiling reveals stress-responsive gene networks in cattle muscles.

77. Myostatin gene inactivation increases post-mortem calpain-dependent muscle proteolysis in mice.

78. Autophagy in farm animals: current knowledge and future challenges.

79. The Blonde d'Aquitaine T3811>G3811 mutation in the myostatin gene: association with growth, carcass, and muscle phenotypes in veal calves.

80. Label free shotgun proteomics for the identification of protein biomarkers for beef tenderness in muscle and plasma of heifers.

81. Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness.

82. Dataset reporting 4654 cow milk proteins listed according to lactation stages and milk fractions.

83. Milk proteome from in silico data aggregation allows the identification of putative biomarkers of negative energy balance in dairy cows.

86. Does growth path influence beef lipid deposition and fatty acid composition?

87. Exploration of Biological Markers of Feed Efficiency in Young Bulls.

88. Molecular regulation of high muscle mass in developing Blonde d'Aquitaine cattle foetuses.

89. The Invalidation of HspB1 Gene in Mouse Alters the Ultrastructural Phenotype of Muscles.

90. Calcium Homeostasis and Muscle Energy Metabolism Are Modified in HspB1-Null Mice.

91. Expression Marker-Based Strategy to Improve Beef Quality.

92. Inverse relationships between biomarkers and beef tenderness according to contractile and metabolic properties of the muscle.

93. A network-based approach for predicting Hsp27 knock-out targets in mouse skeletal muscles.

94. Relationships between muscle growth potential, intramuscular fat content and different indicators of muscle fibre types in young Charolais bulls.

95. Dietary n-3 PUFA affect lipid metabolism and tissue function-related genes in bovine muscle.

96. The GENOTEND chip: a new tool to analyse gene expression in muscles of beef cattle for beef quality prediction.

97. Expression of enzymes and transcription factors involved in n-3 long chain PUFA biosynthesis in limousin bull tissues.

98. Abundance of some skeletal muscle mitochondrial proteins is associated with increased blood serum insulin in bovine fetuses.

99. Myogenesis is delayed in bovine fetal clones.

100. Validation of a Dot-Blot quantitative technique for large scale analysis of beef tenderness biomarkers.

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