DNA lesions impede RNA polymerase II, yet the transcriptional consequences of that stress are less understood than the lesions themselves. We reanalysed total RNA and matched whole genomes from 438 liver lesions across four divergent mouse backgrounds, one of them the separate species M. caroli, 428 of them induced by a single dose of diethylnitrosamine (DEN) and 10 arising spontaneously, together with untreated liver and, critically, histologically normal liver from treated, tumour-bearing animals (paired normal liver). Three post-transcriptional changes accompany transformation in every background. Canonical splicing efficiency falls by 3.6 to 4.8 percentage points, and in genes that acquire them, cancer-specific junctions account for a median of 20–25% of junctions and arise at weaker splice signals. Output shifts toward circular RNA: a five-method consensus pipeline identifies 56,418 recurrent backsplice junctions, 9,718 of them detected in all four backgrounds, with ∼2-fold enrichment in circRNA abundance and an expanded repertoire of distal configurations. Adenosine-to-inosine editing sites fall 2.2-to 3.8-fold, most steeply at intronic sites. Exposure changes not only these outputs but their coordination. In untreated C57BL/6J liver, splicing efficiency, mean relative backsplice span and editing co-vary positively (pairwise ρ +0.78 to +0.87). That coordination is lost in exposed tissue, and paired normal liver shows the same loss as tumour. Pooling conditions obscures the effect because opposing estimates cancel. In C57BL/6J, paired normal liver already shows tumour-like splicing, circRNA abundance and editing roughly eight months after one exposure, while backsplice architecture has begun to reorganise. These samples carry a median of 337 callable somatic single-nucleotide variants against 78,843 in tumours and show no elevation of Mki67 or cell-cycle programmes. The post-transcriptional phenotype is therefore a durable property of damaged tissue established before morphological transformation.
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
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.