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Related Concept Videos

Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: May 30, 2026

Dissection, Histological Processing, and Gene Expression Analysis of Murine Supraclavicular Brown Adipose Tissue
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Transcriptome analysis of subcutaneous adipose tissues in beef cattle using 3' digital gene expression-tag profiling.

W Jin1, E N Olson, S S Moore

  • 1Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta T6G 2P5, Canada.

Journal of Animal Science
|August 23, 2011
PubMed
Summary

This study explored bovine fat deposition by analyzing gene expression in backfat tissues of two cattle breeds. Key genes involved in development and metabolism were identified, differing between breeds and fat thickness.

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Area of Science:

  • Animal Genomics
  • Molecular Biology
  • Quantitative Genetics

Background:

  • Understanding the molecular basis of fat deposition in cattle is crucial for livestock improvement.
  • Previous research on bovine adipose tissue gene regulation is limited.
  • Genetic background significantly influences fat deposition traits.

Purpose of the Study:

  • To identify genes and gene networks regulating fat deposition in bovine backfat tissue.
  • To compare transcriptional profiles between two distinct cattle crossbreds (Hereford × Aberdeen Angus and Charolais × Red Angus).
  • To investigate gene expression differences related to high versus low backfat thickness within breeds.

Main Methods:

  • Digital gene expression-tag profiling (RNA sequencing) was performed on backfat tissues.
  • Transcriptional profiles were analyzed from Hereford × Aberdeen Angus (HEAN) and Charolais × Red Angus (CHRA) steers.
  • Statistical analyses identified differentially expressed genes (DEGs) between crossbreds and between high/low backfat thickness groups.

Main Results:

  • A total of 18,034 genes were identified, with 650 DEGs found between the two crossbreds.
  • CHRA tissues showed higher expression of development-related genes, while HEAN tissues had more metabolism and immune response genes.
  • Specific DEGs related to cell proliferation, development, and lipid metabolism were identified in high backfat groups, including obesity-associated genes like PTX3 and SERPINE1 in CHRA.

Conclusions:

  • Gene expression patterns in bovine backfat are significantly influenced by the cattle's genetic background.
  • Distinct gene networks regulate fat deposition in different cattle breeds.
  • The study provides insights into the genetic architecture of fatness traits in cattle, relevant for breeding programs.