OligoFormer: an accurate and robust prediction method for siRNA design.

Motivation: RNA interference (RNAi) has become a widely used experimental approach for post-transcriptional regulation and is increasingly showing its potential as future targeted drugs. However, the prediction of highly efficient siRNAs (small interfering RNAs) is still hindered by dataset biases, the inadequacy of prediction methods, and the presence of off-target effects. To overcome these limitations, we propose an accurate and robust prediction method, OligoFormer, for siRNA design.

Circulating small extracellular vesicle-based miRNA classifier for follicular thyroid carcinoma: a diagnostic study.

Background: The diagnosis of follicular thyroid carcinoma (FTC) prior to surgery remains a major challenge in the clinic.

Methods: This multicentre diagnostic study involved 41 and 150 age- and sex-matched patients in the training cohort and validation cohort, respectively. The diagnostic properties of circulating small extracellular vesicle (sEV)-associated and cell-free RNAs were compared by RNA sequencing in the training cohort.

A Recombinase-Aided Amplification Assay for the Detection of .

is an important zoonotic agent for humans and various animals. A recombinase-aided amplification (RAA) assay was developed for detecting . RAA can be performed in a closed tube at 39°C within 30 min.