Volume 14 Issue 9, September 2017

Combining approaches from “different worlds” to learn more from a single cell.

Spontaneously blinking membrane probes enable live-cell super-resolution imaging for up to half an hour.

A large-scale approach to analyze how protein sequence determines folding provides new insights into an old question.

An intermediate cell state of chemical reprogramming can be induced to convert directly between cell types.

A self-inactivating rabies virus enables long-term tracing of neural networks without toxicity.

Through scattering, in situ metal particle growth enables biomolecule visualization within tissue.

CRISPR-mediated chromatin looping provides insight into the effect of genomic structure on gene expression.

X-ray beams at 27,000 pulses per second promise high-resolution views of macromolecules.

High-density multielectrode arrays in turtle cortex allow parallel assessment of functional and structural connectomics.

This Review covers the steps required to create high-quality image-based profiles from high-throughput microscopy images.

Using established high-throughput single-cell RNA-seq platforms, CITE-seq combines highly multiplexed, antibody-based protein marker quantification with unbiased transcriptome profiling for thousands of single cells.

Adaptive optics and two-photon instant structured illumination microscopy are combined to provide improved super-resolution imaging within optically aberrating biological samples.

The histology topography cytometry analysis toolbox (histoCAT) enables quantitative analysis and exploration of highly multiplexed imaging data for better understanding of individual cells in the context of tissue architecture.

A 9-nm-resolution structure of PR772 virus and a movie of its continuous conformational changes are determined from single-particle X-ray scattering data.

Combining multielectrode arrays with an ex vivo preparation of the turtle brain allows identification of neurons as excitatory or inhibitory and mapping of their axonal projections.

A rapidly inducible, autoinhibited SpCas9 and quantitative assessment of double-strand cleavage and indel formation allow insights into Cas9 kinetics in cell lines.

Structure determination of large molecular machines is facilitated by M3, a broadly applicable and user-friendly modeling method that takes diverse structural and biochemical data as inputs.

A library-free, peptide-centric search tool, PECAN, robustly identifies peptides from data-independent acquisition mass-spectrometry-based proteomics data.

Informed-Proteomics, a software suite for top-down proteomics analysis, consists of a high-accuracy liquid chromatography–mass spectrometry feature-finding algorithm, an efficient database search tool, and an interactive results viewer.

GROC-SVs enables the accurate detection and reconstruction of large and complex structural variants from read clouds generated by the 10x Genomics platform and subsequent Illumina sequencing.

The statistical concepts for false discovery rate control long applied in the field of data-dependent acquisition (DDA) mass spectrometry-based proteomics can be adapted for the emerging technique of data-independent acquisition (DIA) mass spectrometry.