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Biology subjects

McClure, A.

Publications and source records attributed to McClure, A..

2 recordsLinked to original sources

Robust mammalian RNA localization elements are complex and multipartite

The subcellular localization patterns of RNAs are controlled by regulatory elements contained within them. However, for most localized RNAs, the identities of these elements remain unknown. We had previously identified several localization elements that are necessary and sufficient for robust, kinesin-dependent RNA targeting to microtubule plus ends in a variety of cell types. Yet the characteristics of these elements that are critical for function remained unclear. To address this, we systematically created tens of thousands of mutant localization elements and quantified their ability to regulate subcellular RNA localization in neuronal cells. We found that the minimally active size of these localization elements is large, approximately 200 nucleotides. These elements contain multiple important subsequences, with some being completely intolerant of any changes and others being tolerant to a shuffling of nucleotide order but not to changes in nucleotide composition. Using single molecule microscopy, we verified these findings in primary rat neurons. Together, these results demonstrate that highly active mammalian RNA localization elements are large, complex, and multipartite and lay a foundation for further mechanistic studies of their function.

molecular biology↗

"The Metagenomics Days": a simplified workshop on amplicon sequencing analysis with open cloud bioinformatics for eDNA and Microbiomes

The "Metagenomics Days" event was organized to enhance understanding of metagenomics and microbiome analysis among participants new to the field. This paper presents an evaluation of the courses impact through a comprehensive survey administered before and after the event. We assessed participants prior knowledge, experience with bioinformatics tools, and confidence levels regarding key concepts in microbiome analysis. Word clouds generated from open-ended survey responses provided additional insights into participants interests and pre-course familiarity with metagenomic tools and concepts. Surveys results showed substantial improvements in participants confidence, particularly in building bioinformatics pipelines (+41%), understanding diversity metrics (+44.1%), and applying microbiome analysis concepts (+34.8%). Similarly, understanding of core topics like cloud computing (+28%), bioinformatics workflows (+34%), and 16S rRNA gene variable regions (+27.5%) increased significantly. The courses impact on knowledge retention was also evaluated, with participants achieving an average of 64.87% correct responses, with 25.76% unsure answers and only 9.35% incorrect responses, highlighting the effectiveness of the course in enhancing comprehension. Overall, the survey results indicate a significant increase in participants confidence and knowledge acquisition, particularly in the areas of cloud computing, diversity metrics, and bioinformatics pipelines. These improvements in confidence and knowledge acquisition underscore the effectiveness of the course in bridging knowledge gaps and preparing participants for future research in the complex and rapidly evolving fields of metagenomics and microbiome analysis.

bioinformatics↗