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Hermoso, T.

Publications and source records attributed to Hermoso, T..

2 recordsLinked to original sources

Comparative Gene Essentiality across the Bacterial Domain

Comparative genomics among bacteria has been used to gain insight into the minimal number of conserved genes in biological pathways. Essentiality studies have provided information regarding which genes are non-dispensable (essential, E) for cell growth. Here, we integrated studies of gene conservation, essentiality and function, performed in 47 diverse bacterial species. We showed there is a modest positive correlation between genome size and number of essential genes. Interestingly, we observed a clear shift in the functions assigned to these essential genes as genome size increases. For instance, essential genes related to transcription and translation dominate small genomes. In contrast, in large genomes functions of essential genes are related with cellular processing and metabolism. Finally, and most intriguing, we found a group of genes that while being highly conserved are also typically non-essential. This suggests that some housekeeping genes confer a significant survival benefit in nature while being non-essential in vitro.

genomics↗

LncATLAS database for subcellular localisation of long noncoding RNAs

BackgroundThe subcellular localisation of long noncoding RNAs (lncRNAs) holds valuable clues to their molecular function. However, measuring localisation of newly-discovered lncRNAs involves time-consuming and costly experimental methods.\n\nResultsWe have created \"LncATLAS\", a comprehensive resource of lncRNA localisation in human cells based on RNA-sequencing datasets. Altogether, 6768 GENCODE-annotated lncRNAs are represented across various compartments of 15 cell lines. We introduce \"Relative concentration index\" (RCI) as a useful measure of localisation derived from ensemble RNAseq measurements. LncATLAS is accessible through an intuitive and informative webserver, from which lncRNAs of interest are accessed using identifiers or names. Localisation is presented across cell types and organelles, and may be compared to the distribution of all other genes. Publication-quality figures and raw data tables are automatically generated with each query, and the entire dataset is also available to download.\n\nConclusionsLncATLAS makes lncRNA subcellular localisation data available to the widest possible number of researchers. It is available at lncATLAS.crg.eu.

bioinformatics↗