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A multi-laboratory study finds that single-molecule FRET is a reproducible and reliable approach for determining accurate distances in dye-labeled DNA duplexes.
A resource of multiple reaction monitoring–mass spectrometry transitions for quantitative analysis of biological small molecules is provided in METLIN-MRM, along with automated tools for analyzing such data in XCMS-MRM.
This paper describes modifications to standard culture conditions that permit the growth of naive human pluripotent stem cells with reduced genomic instability.
Slow off-rate modified aptamer (SOMAmer) reagents are small and versatile probes for DNA-PAINT super-resolution microscopy that enable multiplexed, quantitative, and high-resolution imaging in fixed and live cells.
A CHO cell library displaying a near-complete repertoire of glycosaminoglycan (GAG) modifications provides a resource for cell-based binding assays, recombinant proteoglycan expression, and assembly of GAG glycan microarrays.
Spinal cord neural stem cells are generated from human pluripotent stem cells via a chemically defined, xeno-free method, and exhibit efficient and functional engraftment in rat spinal cord lesions.
Humanized mouse models are useful for studies of human hematopoiesis and immunity. Li et al. report an improved model that harbors lymph nodes and therefore permits investigation of local human adaptive immune processes in secondary lymphoid tissue.
Annotated image data are required for image analysis, to test analytical methods, and to train learning algorithms. This paper describes and characterizes a tool that allows researchers to crowdsource image-annotation tasks.
Preprocessing of localization microscopy datasets using Haar wavelet kernel (HAWK) analysis enables artifact-free analysis of high-density data for improved fixed and live-cell super-resolution microscopy.
A method for generating cortical spheroids from human pluripotent stem cells produces maturing oligodendrocytes that can myelinate axons and model myelin disease and drug effects.
Cerebral organoids are developed into in vitro models of human brain cancer by CRISPR–Cas9- and/or transposon-mediated introduction of oncogenic mutations.
The synthetic-diploid (Syndip) benchmark dataset, constructed from two fully homozygous long-read assemblies, provides more accurate assessments of error rates in small-variant-calling algorithms than existing benchmarks.
The fusion of dead Cas9 with KRAB and the transcriptional repressor domain of the chromatin modifier MeCP2 leads to an efficient transcriptional silencer that can be applied to genome-scale screens and genetic circuits.
Active PSF shaping and adaptive optics are combined to enable 3D localization microscopy throughout thick tissues. The method was used to study the nanoscale architecture of amyloid fibrils in a mouse model of Alzheimer’s disease.
Flood-filling networks are a deep-learning-based pipeline for reconstruction of neurons from electron microscopy datasets. The approach results in exceptionally low error rates, thereby reducing the need for extensive human proofreading.