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Related Concept Videos

General Transcription Factors01:30

General Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
Transcription Factors02:16

Transcription Factors

Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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: Jul 5, 2026

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models
05:07

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

Published on: March 6, 2018

Transcriptome architecture across tissues in the pig.

André L J Ferraz1, Ana Ojeda, Manel López-Béjar

  • 1Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain. splinter_zoo2@yahoo.com.br

BMC Genomics
|April 18, 2008
PubMed
Summary

Tissue type significantly influences transcriptome variability, overshadowing breed and sex effects in pigs. However, specific genes show differential expression between breeds and sexes across tissues, indicating targeted breeding impacts.

More Related Videos

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

Related Experiment Videos

Last Updated: Jul 5, 2026

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models
05:07

Sampling Strategies and Processing of Biobank Tissue Samples from Porcine Biomedical Models

Published on: March 6, 2018

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood
09:40

Identification of Coding and Non-coding RNA Classes Expressed in Swine Whole Blood

Published on: November 28, 2018

Area of Science:

  • Genomics
  • Animal Breeding
  • Transcriptomics

Background:

  • Artificial selection creates extreme animal phenotypes.
  • Understanding tissue-specific genetic programs is crucial.
  • Investigating transcriptome variability across tissues, breeds, and sexes is important.

Purpose of the Study:

  • To determine the relevance of tissue in total transcriptome variability.
  • To identify genes with distinct expression between tissues.
  • To assess the impact of breed and sex on the transcriptome across tissues.

Main Methods:

  • Microarray expression profiling of 16 tissues from two pig breeds (Large White, Iberian).
  • Analysis included two males and two females per breed.
  • Mixed model analysis and neighbor-joining trees were used.

Main Results:

  • Tissues clustered based on embryonic origin.
  • Tissue explained ~11 times more variability than sex or breed.
  • Identified 33 genes differentially expressed between breeds and 19 between sexes across tissues.

Conclusions:

  • Embryonic development strongly influences the transcriptome.
  • Gene x tissue interactions suggest targeted breeding impacts specific tissue transcriptomes.
  • Breed and sex affect gene expression differently across tissues.