SAVEMONEY is a computational tool that guides users to mix plasmids prior to nanopore sequencing, reducing the effective cost of whole-plasmid sequencing to below that of Sanger sequencing.
The established under-flow migration tracker (UFMTrack) framework allows for automated and scalable studies of immune cell interactions with and extravasation across endothelial monolayer under flow in vitro.
Eric R Brooks, Andrew R Moorman ... Jennifer A Zallen
Single-cell RNA sequencing and computational analysis define a spatial and temporal map of gene expression during early patterning and morphogenesis of the mouse cranial neural plate, providing a resource for elucidating the transcriptional basis of mammalian brain development.
Jianheng Fox Liu, Ben R Hawley ... Samie R Jaffrey
CROWN-seq provides the first precise and quantitative map of N6,2’-O-dimethyladenosine (m6Am) in mRNA and snRNA, revealing the link between m6Am modification and efficient transcription, rather than translation and RNA stability.
Jasper Janssens, Pierre Mangeol ... Frank Schnorrer
Spatial transcriptomics of adult Drosophila brain and body sections determined the spatial expression for 150 genes, which identified the locations of unknown neuronal cell types and transcriptional diversity within muscle.
Gabriel Loewinger, Erjia Cui ... Francisco Pereira
A fiber photometry analysis framework based on functional mixed models enhances the detection of effects by testing signal-variable associations at each trial timepoint and accounting for between-animal heterogeneity.
Barbora Rehak Buckova, Charlotte Fraza ... Jaroslav Hlinka
Normative modelling adapted for longitudinal neuroimaging enables precise evaluation of individual brain changes over time, revealing subtle disease dynamics and temporal patterns missed by traditional analytical approaches.
Mihály Vöröslakos, Yunchang Zhang ... György Buzsáki
The ThermoMaze behavioral paradigm enables the collection of extensive physiological data while animals remain at distinct experimenter-controlled locations during rest.
Philipp S O'Neill, Martín Baccino-Calace ... Igor Delvendahl
miniML, a deep learning-based method, facilitates synaptic event analysis with high accuracy and versatility across diverse synaptic preparations, enabling high-throughput investigations of neural function and dysfunction.
