ORCID Profile
0000-0002-8436-6602
Current Organisation
KU Leuven
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Publisher: Cold Spring Harbor Laboratory
Date: 30-09-2022
DOI: 10.1101/2022.09.29.510058
Abstract: CRISPR-Cas systems are part of the pan-immune system of Pseudomonas aeruginosa and have been shown to limit horizontal gene transfers in that species. Indeed, isolates equipped with these systems tend to have smaller genomes and CRISPR spacers targeting integrative conjugative elements, phages, and plasmids. In this work, we investigate the genomic effects and phenotypic consequences of CRISPR-Cas systems in P. aeruginosa . First, we establish that the population structure is a confounding factor of the relation between genome sizes and the presence of CRISPR-Cas systems in P. aeruginosa as isolates from group II are, on average, 200 kbp larger than those from group I, and have a lower likelihood of possessing CRISPR-Cas systems. Second, we show that the impact on the genome size of CRISPR deactivation by anti-CRISPR proteins differs between the various CRISPR-Cas types found in this species (I-C, I-E, and I-F). Finally, we highlight a paradoxical, positive correlation between the presence of CRISPR-Cas systems and the chances of the host being infected by a set of distinct, strictly virulent Pseudomonas phages. We propose that this increased phage susceptibility in the presence of CRISPR-Cas is linked to a depletion of other accessory defense system genes in isolates with CRISPR-Cas systems. Note : This manuscript was published as a chapter in the doctoral dissertation of Cédric Lood [72]
Publisher: Public Library of Science (PLoS)
Date: 02-04-2012
Publisher: Public Library of Science (PLoS)
Date: 31-10-2008
Publisher: Springer Science and Business Media LLC
Date: 28-01-2009
DOI: 10.1038/NG.295
Abstract: Given the complexity of microarray-based gene expression studies, guidelines encourage transparent design and public data availability. Several journals require public data deposition and several public databases exist. However, not all data are publicly available, and even when available, it is unknown whether the published results are reproducible by independent scientists. Here we evaluated the replication of data analyses in 18 articles on microarray-based gene expression profiling published in Nature Genetics in 2005-2006. One table or figure from each article was independently evaluated by two teams of analysts. We reproduced two analyses in principle and six partially or with some discrepancies ten could not be reproduced. The main reason for failure to reproduce was data unavailability, and discrepancies were mostly due to incomplete data annotation or specification of data processing and analysis. Repeatability of published microarray studies is apparently limited. More strict publication rules enforcing public data availability and explicit description of data processing and analysis should be considered.
No related grants have been discovered for Vera van Noort.