We among others have recently demonstrated that normal cells produce "fusion mRNAs". These fusion mRNAs do not derive from rearranged genomic loci, but rather they are derived from "early-terminated transcripts" (ETTs). Premature transcriptional termination takes place in intronic sequences that belong to "breakpoint cluster regions". One important property of ETTs is that they exhibit an unsaturated splice donor site. This results in: (1) splicing to "cryptic exons" present in the final intron; (2) Splicing to another transcript of the same gene (intragenic trans-splicing), resulting in "exon repetitions"; (3) splicing to a transcript of another gene (intergenic trans-splicing), leading to "non-genomically encoded fusion transcripts" (NGEFTs). These NGEFTs bear the potential risk to influence DNA repair processes, since they share identical nucleotides with their DNA of origin, and thus, could be used as "guidance RNA" for DNA repair processes. Here, we present experimental data about four other genes. Three of them are associated with hemato-malignancies (ETV6, NUP98 and RUNX1), while one is associated with solid tumors (EWSR1). Our results demonstrate that all genes investigated so far (MLL, AF4, AF9, ENL, ELL, ETV6, NUP98, RUNX1 and EWSR1) display ETTs and produce transpliced mRNA species, indicating that this is a genuine property of translocating genes.
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http://dx.doi.org/10.3390/cancers4041036 | DOI Listing |
Lancet Neurol
February 2025
Department of Neurosciences, and Leuven Brain Institute, University of Leuven, Leuven, Belgium; Laboratory of Neurobiology, Center for Brain & Disease Research, VIB, Leuven, Belgium. Electronic address:
Autosomal dominant mutations in the gene encoding the DNA and RNA binding protein FUS are a cause of amyotrophic lateral sclerosis (ALS), and about 0·3-0·9% of patients with ALS are FUS mutation carriers. FUS-mutation-associated ALS (FUS-ALS) is characterised by early onset and rapid progression, compared with other forms of ALS. However, different pathogenic mutations in FUS can result in markedly different age at symptom onset and rate of disease progression.
View Article and Find Full Text PDFMol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Key Laboratory of Artificial Intelligence of Sichuan Province, Yibin 644000, China.
Accurately predicting the remaining useful life (RUL) is crucial for ensuring the safety and reliability of aircraft engine operation. However, aircraft engines operate in harsh conditions, with the characteristics of high speed, high temperature, and high load, resulting in high-dimensional and noisy data. This makes feature extraction inadequate, leading to low accuracy in the prediction of the RUL of aircraft engines.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Internet of Things Engineering, Wuxi University, Wuxi 214105, China.
The task of nucleus segmentation plays an important role in medical image analysis. However, due to the challenge of detecting small targets and complex boundaries in datasets, traditional methods often fail to achieve satisfactory results. Therefore, a novel nucleus segmentation method based on the U-Net architecture is proposed to overcome this issue.
View Article and Find Full Text PDFBiomolecules
January 2025
National Research Center "Kurchatov Institute", 123182 Moscow, Russia.
The methylotrophic yeast belongs to the group of homothallic fungi that are able to spontaneously change their mating type by inversion of chromosomal DNA in the MAT locus region. As a result, natural and genetically engineered cultures of these yeasts typically contain a mixture of sexually dimorphic cells that are prone to self-diploidisation and spore formation accompanied by genetic rearrangements. These characteristics pose a significant challenge to the development of genetically stable producers for industrial use.
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