Category Archives: transcriptomics

Our group participates in ECCB 2022

We had a great time at the European Conference in Computational Biology celebrated in Sitges in September 2022. Mar gave a keynote talk on The emerging small proteome, and we presented research on cancer (mutations, neoantigens, immunotherapy, lncRNAs..) and transcriptomics … Continue reading

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Filed under lncRNA, ribosome profiling, transcriptomics, yeast

Emeline Favreau reports on her ESEB grant to spend time in our lab

Last March Emeline Favreau, a postdoctoral researcher at University College London, did a research stay at our laboratory. It was great to have her with us and learn more about wasps! Here she writes about her experience in the lab. … Continue reading

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Filed under lncRNA, RNA-Seq, transcriptomics

ERC Advanced Grant NovoGenePop

Our ERC Advanced Grant NovoGenePop has just started! This means we can already recruits scientists and start to gather data. The project will investigate how new genes arise in closely related species and populations. This will involve the development of … Continue reading

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Filed under de novo gene evolution, ribosome profiling, RNA-Seq, transcriptomics, yeast

mRNA molecules one at a time

Fascinated by the potential of long read technologies to make a difference in our knowldege of the transcriptome, two years ago we started generating Nanopore dRNA data for different yeast species, including the yeast S. pombe. This organism is ideal … Continue reading

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Filed under ribosome profiling, transcriptomics, yeast

Our research on de novo genes featured in Nature News

Research on de novo genes has been the subject of a News Feature in Nature, written by Adam Levy. The article presents the case of the arctic cod; comparison of genomic sequences from closely related fish species has shown that … Continue reading

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Filed under de novo gene evolution, science, transcriptomics

Using ribosome profiling to improve our understanding of gene regulation

To measure changes in the expression of the genes we normally compare mRNA abundances using high throughput RNA sequencing data (RNA-Seq), as a proxy for the changes in the encoded proteins. However, it is well known that the correlation between … Continue reading

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Filed under differential gene expression, proteomics, ribosome profiling, transcriptomics, yeast