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What is Gene Expression?

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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
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Understanding mechanisms underlying human gene expression variation with RNA sequencing.

Joseph K Pickrell1, John C Marioni, Athma A Pai

  • 1Department of Human Genetics, The University of Chicago, Chicago 60637, USA. pickrell@uchicago.edu

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|March 12, 2010
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Summary

This study uses RNA sequencing to map gene expression variation in Nigerian lymphoblastoid cell lines. Researchers identified over a thousand genes influenced by genetic variation, impacting expression levels and splicing.

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Area of Science:

  • Genetics
  • Genomics
  • Molecular Biology

Background:

  • Understanding genetic variation in gene expression is crucial for medical and evolutionary genetics.
  • Expression quantitative trait loci (eQTL) studies are key tools for this research.
  • RNA sequencing offers unprecedented resolution for analyzing transcript variation.

Purpose of the Study:

  • To leverage RNA sequencing to analyze transcript variation and genetic influences on gene expression.
  • To identify novel transcriptional elements and genetic variants affecting gene expression and splicing.
  • To investigate the mechanisms of eQTLs and their relationship with allele-specific expression and splicing variation.

Main Methods:

  • RNA sequencing of 69 Nigerian lymphoblastoid cell lines.
  • Integration of genotype data from the International HapMap Project.
  • Analysis of transcriptional landscape, including untranslated regions and protein-coding exons.
  • Identification and characterization of expression quantitative trait loci (eQTLs).

Main Results:

  • Generated a comprehensive map of the transcriptional landscape, revealing unannotated untranslated regions and new exons.
  • Identified over a thousand genes where genetic variation influences expression levels or splicing.
  • Demonstrated that eQTLs near genes often involve allele-specific expression.
  • Found enrichment of splicing variation within and near consensus splice sites.

Conclusions:

  • High-throughput RNA sequencing is powerful for jointly analyzing variation in transcription, splicing, and allele-specific expression.
  • Genetic variation significantly impacts gene expression and splicing patterns.
  • The study provides insights into the mechanisms underlying natural variation in gene expression.