Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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Transcription profiling of Bos taurus Longissimus dorsi skeletal muscle from Korean Native Cattle (Hanwoo)


ABSTRACT: To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture. Experiment Overall Design: Gene expression profiles were correlated with beef traits measured at the same cattle.

ORGANISM(S): Bos taurus

SUBMITTER: Cheol-Koo Lee 

PROVIDER: E-GEOD-9256 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Characterization of beef transcripts correlated with tenderness and moisture.

Kee Hyun-Jung HJ   Park Eung-Woo EW   Lee Cheol-Koo CK  

Molecules and cells 20080408 3


To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r|>0.8) with SF, W  ...[more]

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