Poison exons are highly conserved exons whose inclusion creates premature termination codons and triggers nonsense-mediated decay (NMD) of the mature transcript. Despite their important role in post-transcriptional regulation, poison exons remain poorly annotated due to the lack of systematic transcriptome-wide approaches. A comparative analysis of 954 eukaryotic transcriptomes reveals that Homo Sapiens exhibits the highest enrichment of NMD-targeted isoforms. By systematically predicting and annotating splicing events that generate premature termination codons, we identify 9,814 poison exons in the human genome. Using RNA-seq datasets from GTEx and BrainSpan, we analyze poison exon splicing across tissues and developmental stages and identify 83 poison exons uniquely found in the human brain, 973 with brain-specific differential splicing, and 1,284 differentially spliced during brain development. By integrating ClinVar annotations with SpliceAI predictions, we identify 1,625 pathogenic variants associated with neurological disorders that are predicted to affect the splicing of 743 poison exons, and we functionally validate the impact of a subset of them using CRISPR prime-editing in human cells. Functional characterization of the intronic NDUFAF6 c.420 + 784C > T variant associated with Leigh syndrome demonstrates increased poison exon inclusion and a significant reduction in protein levels in iPSC-derived neurons, with consequent impaired mitochondrial membrane potential compared to controls. Together, these findings provide functional evidence that the c.420 + 784C > T variant promotes aberrant poison exon inclusion, leading to reduced NDUFAF6 protein expression and mitochondrial dysfunction. Our findings highlight poison exons as pivotal regulators of gene expression in the human brain and support their therapeutic targeting in neurological diseases.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.