Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain
the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in
Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles
and JavaScript.
This work introduces ARTR-seq for in situ measurement of RNA-binding protein (RBP) binding sites, which has been demonstrated in a small number of cells and for capturing dynamic RBP binding within short timeframes.
Neurodesk is a platform for analyzing human neuroimaging data, which provides numerous tools in a containerized form, thereby ensuring reproducibility and portability.
CytoCommunity enables both supervised and unsupervised analyses of spatial omics data in order to identify complex tissue cellular neighborhoods based on cell phenotypes and spatial distributions.
SynapShot combines ddFPs with engineered synaptic adhesion molecules for real-time observation of the structural plasticity of synapses in cultured cells and animals.
SnapATAC2 uses a matrix-free spectral embedding algorithm for nonlinear dimension reduction of single-cell omics data, which shows an improved performance in capturing cellular heterogeneity and scalability for large datasets.
Real-time mid-infrared photothermal imaging of nitrile chameleons enables simultaneous, multiplexed measurement of enzymatic activity in living systems and is poised to reveal the spatiotemporal regulation of enzymes in health and disease.
InfraRed-mediated Image Restoration (IR2) uses deep learning to combine the benefits of deep-tissue imaging with NIR probes and the convenience of imaging with GFP for improved time-lapse imaging of embryogenesis.
Single-cell structure probing of RNA transcripts enables simultaneous determination of transcript secondary structure and abundance in single cells, allowing new insights into RNA structural heterogeneity within and among cells.
Scientists have successes to celebrate but must also cope with the sting of failures. In the way she handles both, Nobel laureate Katalin Karikó inspires others.
As money pours into aging research, the field can combine its many methods to home in on what underpins aging. Approaches differ, but researchers share the desire to not overpromise quick-fix anti-aging methods.
It is the mark of an educated mind to rest satisfied with the degree of precision that the nature of the subject admits and not to seek exactness where only an approximation is possible. —Aristotle
The DeepMSA2 pipeline employs iterative alignment search against large genomic and metagenomic sequence databases to construct single- and multichain multiple-sequence alignment (MSA) for proteins. Use of these MSAs shows improvement for deep learning-based protein tertiary and quaternary structure predictions.
smartLLSM uses artificial intelligence-based instrument control to switch between epiflouorescence and lattice light-sheet microscopy to monitor cells at the population level while also capturing multicolor three-dimensional datasets of rare events of interest.
ANCOM-BC2 is developed to perform multigroup differential abundance analysis and allows modeling of covariates and longitudinal measures while controlling false discovery rate (FDR) or mixed directional FDR.
The thermal-plex method for highly multiplexed imaging uses DNA probes activated when briefly elevated to designated temperatures for rapid, fluidics-free sequential imaging in cells and tissues.
In 1858, the first standard for microscope objectives was established to encourage interchangeable components. Over the following 150 years, standards have evolved to constrain the size of objectives, which limits the parameters of working distance, field of view and resolution. A new design breaks out of this conventional envelope, offering an ultra-long working distance in air and enabling new neuroscience experiments.
We have developed a framework for the analysis of multi-batch proteome profiling data using isobaric mass tags. Our framework improves quantitative accuracy and increases statistical power by accounting for known sources of variation between batches, thus enabling multiplexed proteome profiling analysis to be performed on large numbers of samples and population cohorts.