Evolution of Gene Expression Levels in Mammalian Organs

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A collaborative study with the Kaessmann group on "The evolution of gene expression levels in mammalian organs" where we first applied the ISA to RNAseq data has been published as article in Nature.
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A collaborative study with the Kaessmann group on "The evolution of gene expression levels in mammalian organs" where we first applied the [[ISA]] to RNAseq data has been published as article in Nature.
  
 
The article appeared online in [http://www.nature.com/nature/journal/v478/n7369/full/nature10532.html Nature] on 19 October 2011.
 
The article appeared online in [http://www.nature.com/nature/journal/v478/n7369/full/nature10532.html Nature] on 19 October 2011.
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Genome analyses can uncover protein-coding changes that potentially underlie the differences between species, but many of the phenotypic differences between species are the result of regulatory mutations affecting gene expression. In this collaborative study headed by Prof. Henrik Kaessmann group (CIG, UNIL) we used high-throughput RNA sequencing to study the evolutionary dynamics of mammalian transcriptomes in six major tissues (cortex, cerebellum, heart, kidney, liver and testis) from ten species from all major mammalian lineages. Among the findings is the extent of transcriptome variation between organs and species, as well as the identification of potentially selectively driven expression switches that may have shaped specific organ biology. Notably for the first time we applied the Iterative Signature Algorithm ([[ISA]]) to RNAseq data identifying transcriptional units (modules) including subsets of orthologous genes that have conserved expression patterns across different sets of organs in certain species or lineages.
 
Genome analyses can uncover protein-coding changes that potentially underlie the differences between species, but many of the phenotypic differences between species are the result of regulatory mutations affecting gene expression. In this collaborative study headed by Prof. Henrik Kaessmann group (CIG, UNIL) we used high-throughput RNA sequencing to study the evolutionary dynamics of mammalian transcriptomes in six major tissues (cortex, cerebellum, heart, kidney, liver and testis) from ten species from all major mammalian lineages. Among the findings is the extent of transcriptome variation between organs and species, as well as the identification of potentially selectively driven expression switches that may have shaped specific organ biology. Notably for the first time we applied the Iterative Signature Algorithm ([[ISA]]) to RNAseq data identifying transcriptional units (modules) including subsets of orthologous genes that have conserved expression patterns across different sets of organs in certain species or lineages.
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The article appeared online in [http://www.nature.com/nature/journal/v478/n7369/full/nature10532.html Nature] on 19 October 2011.

Revision as of 08:26, 21 October 2011



Genome analyses can uncover protein-coding changes that potentially underlie the differences between species, but many of the phenotypic differences between species are the result of regulatory mutations affecting gene expression. In this collaborative study headed by Prof. Henrik Kaessmann group (CIG, UNIL) we used high-throughput RNA sequencing to study the evolutionary dynamics of mammalian transcriptomes in six major tissues (cortex, cerebellum, heart, kidney, liver and testis) from ten species from all major mammalian lineages. Among the findings is the extent of transcriptome variation between organs and species, as well as the identification of potentially selectively driven expression switches that may have shaped specific organ biology. Notably for the first time we applied the Iterative Signature Algorithm (ISA) to RNAseq data identifying transcriptional units (modules) including subsets of orthologous genes that have conserved expression patterns across different sets of organs in certain species or lineages.

The article appeared online in Nature on 19 October 2011.