Oana Pelea, Sarah Mayes ... Tatjana Sauka-Spengler
RNA-sensing guide RNAs provide a programmable platform for conditional, sequence-specific activation of CRISPR-Cas9 upon RNA detection in diverse biological contexts.
Michelle Jin, Simon O Ogundare ... Christine Ann Denny
A new scalable workflow for analyzing multiple ensemble datasets incorporates SMARTTR, an R package supporting network analysis, visualization, and the import of external datasets.
Johanna Ganssauge, Sophie Hawkins ... Akshay Bhinge
A novel human iPSC-derived model induces mislocalization of endogenous TDP-43 without mutations or stress, recapitulating key ALS features including deficits in neuronal loss and morphology, splicing errors, and microRNA dysregulation.
Leonid Peshkin, Enrico maria Daldello ... Catherine Jessus
A comprehensive resource describes protein abundance and phosphorylation dynamics during Xenopus oocyte maturation, serving as an essential tool for investigating the molecular mechanisms driving meiotic progression.
A robust method to infer excitatory and inhibitory synaptic conductances from neuronal recordings reveals functional circuit organization in rhythmic networks.
Self-supervised deep learning models can accurately perform 3D segmentation of cell nuclei in complex biological tissues, enabling scalable analysis in settings with limited or no ground truth annotations.
SCellBOW is a language model-based scRNA-seq analysis method that identifies malignant cell subpopulations and infers marker-free survival risks using transfer learning.
