Comment

Portable genome sequencers are revolutionizing genomic research. However, their reliance on external systems introduces new vulnerabilities that threaten the security of these sequencers. By employing zero-trust principles throughout the sequencing workflow, we can enhance the security of portable sequencing technology.

A new structural dynamics analysis provides an explanatory bridge between apparently divergent results in the field of opioid receptor oligomerization and, by extension, in the broader field of class A G protein-coupled receptor oligomerization.

Phosphorus availability is vital to ocean ecosystem functioning. Analyses of global seawater samples combined with laboratory experiments reveal the Alteromonas bacteria as a surprising regulator of the marine phosphorus cycling.

Cholera remains a global health threat across the African continent. Here, the authors discuss the current issues relating to the control of the disease, and make recommendations for its management across Africa.

Synthetic biology is defined by Design-Build-Test-Learn cycles. Recent advances in machine learning are changing the landscape; thus, we propose that “Learning” can precede “Design”. Moreover, adopting cell-free platforms can further accelerate “Building” and “Testing” for megascale data generation and models.

A global data resource will unify antimicrobial PK/PD data across regions, enabling open, secure, and standardised research. This initiative will help optimise antimicrobial use and combat resistance through collaborative, data-driven insights.

Regulatory sandboxes could be fruitfully used to boost Invasive Brain-Computer Interfaces, but they should be carefully designed. The authors highlight and discuss five key elements.

This commentary explores how collective intelligence arises from local interactions in animal groups and how these principles inform the design of swarm robotic systems, addressing the challenge of achieving robust, responsive, and scalable collective behaviors without centralized control.

Candidate PET ligands targeting pathological TDP-43 aggregates are characterized by Vokali and colleagues in a series of human tissue, cell/animal model, and non-human primate experiments. Their preclinical data suggests favorable specificity and pharmacokinetic profiles of their two candidate tracers, which could translate into a disease-specific biomarker in TDP-43 proteinopathies.

Transforming agricultural landscapes to be more sustainable and resilient requires integrated and multidisciplinary approaches. Linking automated experimental platforms with living labs can accelerate knowledge gain, enhance interdisciplinary collaboration, and support real-world change by addressing key challenges in current agricultural systems.

In a recent study, Park et al. show that early-life loss of NR3C1 in astrocytes establishes a long-lasting epigenetic memory that heightens neuroinflammation and worsens pathology in the central nervous system (CNS) later in life. These findings highlight the potential roles of astrocyte inflammatory memory in CNS pathology, as well as potential targets for its modulation.

Microscopy drives biological discovery, yet high costs limit its access to resource-limited regions. We highlight examples of successful frugal microscopes that have overcome adoption barriers, offering a roadmap to expand affordable, quantitative imaging tools and foster impactful research in resource-limited settings.

We propose a roadmap for promoting a data-sharing culture in African health research governed by data justice and solidarity. This framework integrates dynamic consent, equitable benefit-sharing, reciprocity, data custodianship, controlled access infrastructures, and data sovereignty

Despite existing regulations, many emerging environmental contaminants remain ungoverned, posing serious risks to ecosystems and human health. Here, we outline governance challenges and propose a global roadmap for their regulation. Proactive identification, risk assessment, and international collaboration are urgently needed to close regulatory gaps and ensure a safer, healthier environment for all.

The realization that the cell is abundantly compartmentalized into biomolecular condensates has opened new opportunities for understanding the physics and chemistry underlying many cellular processes¹, fundamentally changing the study of biology². The term biomolecular condensate refers to non-stoichiometric assemblies that are composed of multiple types of macromolecules in cells, occur through phase transitions, and can be investigated by using concepts from soft matter physics³. As such, they are intimately related to aqueous two-phase systems⁴ and water-in-water emulsions⁵. Condensates possess tunable emergent properties such as interfaces, interfacial tension, viscoelasticity, network structure, dielectric permittivity, and sometimes interphase pH gradients and electric potentials^6–14. They can form spontaneously in response to specific cellular conditions or to active processes, and cells appear to have mechanisms to control their size and location^15–17. Importantly, in contrast to membrane-enclosed organelles such as mitochondria or peroxisomes, condensates do not require the presence of a surrounding membrane.

Shifting rapidly to a low-emissions global economy could severely disrupt workers’ livelihoods and their communities, exacerbating inequalities and perpetuating injustice. In a Just Labor Transition, strategic policies prepare workers for new jobs, enable inclusive decision-making with meaningful participation of workers and their representatives (including labor unions and other collective organizations), and secure social license for change.

Researchers comment on two recent Nature Communications publications on enzyme complexes involved in collagen glycosylation, discussing how these findings lay a foundation for understanding collagen IV maturation and its broader biological implications.

In spatial transcriptomics, tissue samples are randomly positioned. Rotation-sensitive methods can lead to unreliable spatially variable gene (SVG) detection. We highlight their inherent technical pitfalls and discuss strategies for rotation-invariant methods, enhancing the robustness of SVG detection.

Based on experiences of Nigerian healthcare staff in a multi-centre international neonatal sepsis study, the authors describe insights on capacity strengthening, patients’ engagement, and discuss long-term challenges in sustaining outcomes after project funding ends.

We introduce a framework for the design of photonic integrated laser sources for FMCW LiDAR, evaluating trade-offs in key laser metrics such as linewidth, chirp linearity and rate, based on laser-system co-design metrics. We review the main performance requirements for mid-range applications, with the goal of guiding ongoing research and commercial development.