The problem of selection bias in studies of pre-mRNA splicing

Dwyer, Zachary W.; Pleiss, Jeffrey A.

doi:10.1038/s41467-023-37650-2

Cited by 3 publications

References 29 publications

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Machine learning-optimized targeted detection of alternative splicing

Yang,

Islas,

Jewell

et al. 2024

Preprint

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RNA-sequencing (RNA-seq) is widely adopted for transcriptome analysis but has inherent biases which hinder the comprehensive detection and quantification of alternative splicing. To address this, we present an efficient targeted RNA-seq method that greatly enriches for splicing-informative junction-spanning reads. Local Splicing Variation sequencing (LSV-seq) utilizes multiplexed reverse transcription from highly scalable pools of primers anchored near splicing events of interest. Primers are designed using Optimal Prime, a novel machine learning algorithm trained on the performance of thousands of primer sequences. In experimental benchmarks, LSV-seq achieves high on-target capture rates and concordance with RNA-seq, while requiring significantly lower sequencing depth. Leveraging deep learning splicing code predictions, we used LSV-seq to target events with low coverage in GTEx RNA-seq data and newly discover hundreds of tissue-specific splicing events. Our results demonstrate the ability of LSV-seq to quantify splicing of events of interest at high-throughput and with exceptional sensitivity.

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Machine learning-optimized targeted detection of alternative splicing

Yang,

Islas,

Jewell

et al. 2024

Preprint

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Selected humanization of yeast U1 snRNP leads to global suppression of pre-mRNA splicing and mitochondrial dysfunction in the budding yeast

Chalivendra,

Shi,

et al. 2024

RNA

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The recognition of 5’ splice site (5’ ss) is one of the earliest steps of pre-mRNA splicing. To better understand the mechanism and regulation of 5’ ss recognition, we selectively humanized components of the yeast U1 snRNP to reveal the function of these components in 5’ ss recognition and splicing. We targeted U1C and Luc7, two proteins that interact with and stabilize the yeast U1 (yU1) snRNA and the 5’ ss RNA duplex. We replaced the Zinc-Finger (ZnF) domain of yU1C with its human counterpart, which resulted in a cold-sensitive growth phenotype and moderate splicing defects. We next added an auxin-inducible degron to yLuc7 protein (to mimic the lack of Luc7Ls in human U1 snRNP) and found that Luc7-depleted yU1 snRNP resulted in the concomitant loss of PRP40 and Snu71 (two other essential yeast U1 snRNP proteins), and further biochemical analyses suggest a model of how these three proteins interact with each other in the U1 snRNP. The loss of these proteins resulted in a significant growth retardation accompanied by a global suppression of pre-mRNA splicing. The splicing suppression led to mitochondrial dysfunction as revealed by a release of Fe2+ into the growth medium and an induction of mitochondrial reactive oxygen species. Together, these observations indicate that the human U1C ZnF can substitute that of yeast, Luc7 is essential for the incorporation of the Luc7-Prp40-Snu71 trimer into yeast U1 snRNP, and splicing plays a major role in the regulation of mitochondrial function in yeast.

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Alternative splicing and its regulation in the malaria vector Anopheles gambiae

Díaz-Terenti,

Ruiz,

Gómez-Díaz

2024

Front. Malar.

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IntroductionAlternative splicing (AS) is a highly conserved mechanism that allows for the expansion of the coding capacity of the genome, through modifications of the way that multiple isoforms are expressed or used to generate different phenotypes. Despite its importance in physiology and disease, genome-wide studies of AS are lacking in most insects, including mosquitoes. Even for model organisms, chromatin associated processes involved in the regulation AS are poorly known.MethodsIn this study, we investigated AS in the mosquito Anopheles gambiae in the context of tissue-specific gene expression and mosquito responses to a Plasmodium falciparum infection, as well as the relationship between patterns of differential isoform expression and usage with chromatin accessibility changes. For this, we combined RNA-seq and ATAC-seq data from A. gambiae midguts and salivary glands, infected and non-infected.ResultsWe report differences between tissues in the expression of 392 isoforms and in the use of 247 isoforms. Secondly, we find a clear and significant association between chromatin accessibility states and tissue-specific patterns of AS. The analysis of differential accessible regions located at splicing sites led to the identification of several motifs resembling the binding sites of Drosophila transcription factors. Finally, the genome-wide analysis of tissue-dependent enhancer activity revealed that approximately 20% of A. gambiae transcriptional enhancers annotate to a differentially expressed or used isoform, and that their activation status is linked to AS differences between tissues.ConclusionThis research elucidates the role of AS in mosquito vector gene expression and identifies regulatory regions potentially involved in AS regulation, which could be important in the development of novel strategies for vector control.

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The problem of selection bias in studies of pre-mRNA splicing

Cited by 3 publications

References 29 publications

Machine learning-optimized targeted detection of alternative splicing

Machine learning-optimized targeted detection of alternative splicing

Selected humanization of yeast U1 snRNP leads to global suppression of pre-mRNA splicing and mitochondrial dysfunction in the budding yeast

Alternative splicing and its regulation in the malaria vector Anopheles gambiae

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