Reviews & Analysis

Two high-throughput single-molecule force spectroscopy platforms expand the reach of this technology for biomechanical molecular phenotyping.

Robots can be used to detect marked animals with less disturbance when assessing ecological drivers of population change.

This Perspective discusses methods to measure single-cell mass and their relative strengths and weaknesses for different applications.

Protein-responsive ribozymes generated by a streamlined design process will expand the plug-and-play toolbox for synthetic biologists.

Tumor-specific peptides missed in standard mass spectrometry–based workflows can be identified by integrating genomic information to interpret proteomic data. As discussed in this Perspective, an onco-proteogenomic approach to study tumor biology could have a substantial impact on cancer research. Also in this issue, Nesvizhskii reviews proteogenomic technology.

A proteogenomic approach to analyzing mass spectrometry–based proteomic data enables the discovery of novel peptides, provides peptide-level evidence of gene expression, and assists in refining gene models. Strategies for building custom sequence databases, applications benefitting from a proteogenomic approach, and challenges in interpreting data are discussed in this Review. Also in this issue, Alfaro et al. discuss the use of proteogenomic approaches for studying cancer biology.

Use of adenoviral vectors to deliver donor templates for genome editing facilitates precise genome modifications in human cells. This has implications for both basic and translational applications of rare-cleaving nuclease technologies.

A new distributed computing framework for data analysis enables neuroscientists to meet the computational demands of modern experimental technologies.

Barcoded semisynthetic nucleosomes combined with massively parallel sequencing provide an innovative new platform for analyzing the histone-recognition and histone-modifying activities of chromatin-associated proteins.

This Perspective discusses the power of large mutational scans for the study of protein properties, the analytical challenges posed by the resulting data sets and the potential of this approach to further our understanding of human genetic variation.

A general method to recognize and track unmarked animals within a population will enable new studies of social behavior and individuality.

Experimenter gender affects behavioral assays of pain and stress in laboratory mice.

Two methods are used to identify cis-regulatory sequences by looking at their function.

This Perspective takes the reader through the important steps in bacterial genome assembly and activation and concludes with an outlook on how customized genomes may be achieved.

This Review discusses large-scale de novo DNA synthesis via oligos or arrays, describes gene assembly and error correction and considers applications for large-scale DNA synthesis.

This Review introduces tools to build transcriptional circuits and explains how the choice of different tools can affect circuit behavior and how its operation can be affected by the cellular host.

The combination of mass spectroscopy with immunohistochemistry allows highly multiplexed, directly quantitative imaging of tissue samples for both basic and clinical research.

A first community experiment comparing the performance of analysis methods for single-particle tracking data declares no winner but reveals valuable information for users and developers.

An approach is described that simplifies the isolation of rare human pluripotent stem cells engineered to carry precise disease-relevant mutations.

This second Review introduces readers to the many algorithms used to localize fluorophores in localization-based super-resolution imaging and offers practical advice to guide their choice and usage.