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This Review describes the latest methods for profiling common epitranscriptomic marks, their scale, resolution and ability to quantify. It also discusses remaining challenges.
OpenMS is a flexible, user-friendly, open-source software platform for the biological analysis of mass spectrometry proteomics and metabolomics data. The modular platform allows developers to seamlessly generate custom data-analysis workflows and directly make such ready-made workflows available to biologist end-users. Also in this issue, see the Perspective by Tyanova et al.
A sequencing approach, m6A-LAIC-seq, globally quantifies the proportion of m6A-modified transcripts of a specific gene and the differential m6A modification levels among its isoforms.
Photoacoustic imaging (PAI) can bridge the gap between high resolution optical imaging and deep tissue imaging applications. This Review introduces PAI as well as various implementations for a range of biological applications.
This Review covers genetically encoded and exogenous contrast agents for photoacoustic imaging and offers guidance for choosing optimal probes for biological applications on the basis of photophysical properties, targeting and performance.
Perseus is a comprehensive, user-friendly software platform for the biological analysis of quantitative proteomics data. It is intended to help biologists with little bioinformatics training to interpret protein expression, post-translational modification and interaction data. Also in this issue, see the Perspective by Röst et al.
Two new approaches for target profiling of RNA-binding proteins require less cell material, avoid radioactive reagents and give more accurate data in a shorter time compared to previous methods.
There is a growing appreciation that mechanical forces have important roles in many aspects of biology. This review provides a survey of methods for measuring the forces exerted by cells and discusses technical barriers to their implementation.