Histones are small basic proteins that form the proteinaceous core of the nucleosome, the repeating building block of chromatin in all eukaryotes. Long thought to be exclusive to eukaryotes, histones are now increasingly appreciated for their roles in organizing genomes across all domains of life, namely in archaea, bacteria, and even viruses. We survey recent advances in our understanding of the imaginative uses of histones in disparate biological entities, ranging from nucleosome-like metastable particles in giant viruses to slinky-like hypernucleosomes in archaea to bacterial histones that bind DNA in decidedly unorthodox ways. Across these different contexts, we examine how DNA compaction and conformation emanate from evolutionarily conserved aspects of histone structure, including how the oligomeric states of histones dictate their capacity to contort DNA in different conformations. It appears that relatively small tweaks to the amino acid sequences of histones can result in structural and functional variations in DNA binding. As such, nucleosomes in eukaryotes sample only a narrow range of possible structures.

While the role of water in soluble protein structure and function is well-established, the analogous role of lipids as a solvent for membrane proteins is less understood. Bacterial membranes exhibit extraordinary lipid diversity, with Escherichia coli synthesizing over 1,800 distinct glycerophospholipids. This lipid diversity gives rise to bulk membrane properties and specific lipid-lipid and lipid-protein interactions that directly affect α-IMP folding, assembly, and function. In this review, we use the same thermodynamic framework for understanding the solvation of soluble proteins to examine bacterial α-helical integral membrane protein (α-IMP) interactions with chemically diverse lipid environments. We propose that preferential solvent interactions were essential evolutionary drivers that enabled lipids to evolve as protein cofactors and substrates, with lipid chemical diversity creating unique evolutionary pressures distinct from those of aqueous systems.

This review focuses on the use of high-pressure nuclear magnetic resonance (HP NMR) to map local protein stability and conformational landscapes, with an emphasis on the population and characteristics of protein excited states. Section 1 discusses the volumetric properties of proteins in the pressure-temperature plane, highlighting the underlying mechanisms of pressure effects, the magnitude of the volume changes upon unfolding, their temperature dependence, and the nature of the unfolded state at high pressure. In Section 2, NMR-detected, pressure-induced equilibrium unfolding of proteins is discussed. Section 3 covers how HP NMR can reveal the complexity of protein conformational landscapes, the population of excited states, and the local stability distribution across the structure. Studies exploring the sequence determinants of these landscapes are presented. Of particular interest are the sequence determinants that define the excited states implicated in functional dynamics, one of the most important unresolved issues in protein science.

Globular proteins are expected to assume folds with fixed secondary structures, α-helices and β-sheets. Fold-switching proteins challenge this expectation by remodeling their secondary and/or tertiary structures in response to cellular stimuli. Though these shape-shifting proteins were once thought to be haphazard evolutionary by-products with little intrinsic biological relevance, recent work has shown that evolution has selected for their dual-folding behavior, which plays critical roles in biological processes across all kingdoms of life. The widening scope of fold switching draws attention to the ways it challenges conventional wisdom, raising fundamental unanswered questions about protein structure, biophysics, and evolution. Here we discuss the progress being made to answer these questions and suggest future directions for the field.

To ensure survival and reproduction, individual animals navigating the world must regularly sense their surroundings and use this information for important decision-making. The same is true for animals living in groups, where the roles of sensing, information propagation, and decision-making are distributed on the basis of individual knowledge, spatial position within the group, and more. This review highlights key examples of temporal and spatiotemporal dynamics in animal group decision-making, emphasizing strong connections between mathematical models and experimental observations. We start with models of temporal dynamics, such as reaching consensus and the time dynamics of excitation-inhibition networks. For spatiotemporal dynamics in sparse groups, we explore the propagation of information and synchronization of movement in animal groups with models of self-propelled particles, where interactions are typically parameterized by length and timescales. In dense groups, we examine crowding effects using a soft condensed matter approach, where interactions are parameterized by physical potentials and forces. While focusing on invertebrates, we also demonstrate the applicability of these results to a wide range of organisms, aiming to provide an overview of group behavior dynamics and identify new areas for exploration.

Mass photometry (MP) is a technology for the mass measurement of biological macromolecules in solution. Its mass accuracy and resolution have transformed label-free optical detection into a quantitative measurement, enabling the identification of distinct species in a mixture and the characterization of their relative abundances. Its applicability to a variety of biomolecules, including polypeptides, nucleic acids, lipids, and sugars, coupled with the ability to quantify heterogeneity, interaction energies, and kinetics, has driven the rapid and widespread adoption of MP across the life sciences community. These applications have been largely orthogonal to those traditionally associated with microscopy, such as detection, imaging, and tracking, instead focusing on the constituents of biomolecular complexes and their change with time. Here, we present an overview of the origins of MP, its current applications, and future improvements that will further expand its scope.

Over the last 30 years, fluorescence microscopy, renowned for its sensitivity and specificity, has undergone a revolution in resolving ever-smaller details. This advancement began with stimulated emission depletion (STED) microscopy and progressed with techniques such as photoactivatable localization microscopy and stochastic optical reconstruction microscopy (STORM). Single-molecule localization microscopy (SMLM), which encompasses methods like direct STORM, has significantly enhanced image resolution. Even though its speed is slower than that of STED, SMLM achieves higher resolution by overcoming photobleaching limitations, particularly through DNA point accumulation for imaging in nanoscale topography (DNA-PAINT), which continuously renews fluorescent labels. Additionally, cryo-fluorescence microscopy and advanced techniques like minimal photon fluxes imaging (MINFLUX) have pushed the boundaries toward molecular resolution SMLM. This review discusses the latest developments in SMLM, highlighting methods like resolution enhancement by sequential imaging (RESI) and PAINT-MINFLUX and exploring axial localization techniques such as supercritical angle fluorescence and metal-induced energy transfer. These advancements promise to revolutionize fluorescence microscopy, providing resolution comparable to that of electron microscopy.

All biological systems are subject to perturbations arising from thermal fluctuations, external environments, or mutations. Yet, while biological systems consist of thousands of interacting components, recent high-throughput experiments have shown that their response to perturbations is surprisingly low dimensional: confined to only a few stereotyped changes out of the many possible. In this review, we explore a unifying dynamical systems framework-soft modes-to explain and analyze low dimensionality in biology, from molecules to ecosystems. We argue that this soft mode framework makes nontrivial predictions that generalize classic ideas from developmental biology to disparate systems, namely phenocopying, dual buffering, and global epistasis. While some of these predictions have been borne out in experiments, we discuss how soft modes allow for a surprisingly far-reaching and unifying framework in which to analyze data from protein biophysics to microbial ecology.

A complete understanding of protein function and dynamics requires the characterization of the multiple thermodynamic states, including the denatured state ensemble (DSE). Whereas residual structure in the DSE (as well as in partially folded states) is pertinent in many biological contexts, here we are interested in how such structure affects protein thermodynamics. We examine issues related to chain collapse in light of new developments, focusing on potential complications arising from differences in the DSE's properties under various conditions. Despite some variability in the degree of collapse and structure in the DSE, stability measurements are remarkably consistent between two standard methods, calorimetry and chemical denaturation, as well as with hydrogen-deuterium exchange. This robustness is due in part to the DSEs obtained with different perturbations being thermodynamically equivalent and hence able to serve as a common reference state. An examination of the properties of the DSE points to it as being a highly expanded ensemble with minimal amounts of stable hydrogen bonded structure. These two features are likely to be critical in the broad and successful application of thermodynamics to protein folding. Our review concludes with a discussion of the impact of these findings on folding mechanisms and pathways.

The cytoskeleton comprises networks of different biopolymers, which serve various cellular functions. To accomplish these tasks, their mechanical properties are of particular importance. Understanding them requires detailed knowledge of the mechanical properties of the individual filaments that make up these networks, in particular, microtubules, actin filaments, and intermediate filaments. Far from being homogeneous beams, cytoskeletal filaments have complex mechanical properties, which are directly related to the specific structural arrangement of their subunits. They are also versatile, as the filaments' mechanics and biochemistry are tightly coupled, and their properties can vary with the cellular context. In this review, we summarize decades of research on cytoskeletal filament mechanics, highlighting their most salient features and discussing recent insights from this active field of research.