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The cover illustration depicts the integration of foreign sequences into the DNA of Escherichia coli at targeted sites. Image provided by Jaehwan Jeong (concept) and Dong Su Jang (illustration). Brief Communication p591
A deeper understanding of the mechanisms underlying functional magnetic resonance imaging signals is crucial for maximizing the return on human fMRI research.
Bioinformatic discrimination of siRNAs that perturb cells via direct versus indirect effects can improve data quality and change hit lists in image-based screens.
Fluorescence recording of neural activity in the magnetic resonance scanner is a new strategy for examining the cellular underpinnings of blood oxygenation level–dependent (BOLD) functional magnetic resonance imaging (fMRI).
Researchers describe an approach to predict microbial-community composition across broad spatial and temporal gradients, an important step to bringing microbial ecology into the 21st century.
In this Review, the authors provide a guide through to the different steps involved in selected reaction monitoring as well as discuss its applications.
To increase the efficiency of direct neuronal conversion of postnatal human fibroblasts, the authors combine two-factor neuronal programming with small molecules. This method increases the yield and purity of functional neuron-like cells by more than 15-fold.
A computational framework is reported for the accurate and sensitive identification of RNA editing sites from whole-genome DNA and RNA sequences from the same individual.
Nanobodies that bind to fluorescent proteins with high affinity and are coupled to bright organic dyes allow simple efficient labeling of fusion proteins for super-resolution microscopy.
A robot, algorithm and software for automated in vivo intracellular electrophysiology are reported that can automatically perform whole-cell patch clamping in the living mouse brain with quality comparable to that for a trained human experimenter.
The use of marker coselection in combination with multiplex automated genome engineering (MAGE) is reported to improve the efficiency of engineered changes in bacterial genomes. The authors use the method to insert twelve 20-base-pair T7 promoters to control indirubin and indigo production.
A proximity assay based on methylation of interacting 'prey' proteins by a 'bait' fused to the histone lysine methyltransferase permits the detection of enzyme-substrate protein-protein interactions in yeast.
Simultaneous functional magnetic resonance imaging (fMRI) and fiber-optic–based calcium recordings in rats allow investigation of the relationship between blood oxygen level–dependent (BOLD) fMRI signals and the underlying neural activity. The study uncovers prolonged BOLD signal components involving glial activation.
The authors analyze how sequencing depth, choice of control sample, paired-end versus single-end reads and the selection of peak-calling algorithm influence the interpretation of chromatin immunoprecipitation–sequencing (ChIP-seq) experiments.
A hybrid fluorescence molecular tomography–X ray computed tomography system is applied for in vivo imaging of multiple mouse models, and its performance is validated on post-mortem cryosection data.
Microbial Assemblage Prediction is a predictive model for the climate-dependent abundance of microbial taxa in space and time. It takes potential interactions between taxa into account and is used on longitudinal metagenomic and climate data from the Western English Channel.