News & Comment

The enhanced Coulomb interaction in two dimensions leads to not only tightly bound excitons but also many-particle excitonic complexes: excitons interacting with other quasiparticles, which results in improved and even new exciton properties with better controls. Here, we summarize studies of excitonic complexes in monolayer transition metal dichalcogenides and their moiré heterojunctions, envisioning how to utilize them for exploring quantum many-body physics.

Will protein structure search tools like AlphaFold replace protein sequence search with BLAST? We discuss the promises, using structure search for remote homology detection, and why protein BLAST, as the leading sequence search tool, should strive to incorporate structural information

Drawing on perspectives from West and Southern Africa, this Comment critically examines the current state of neuroscience progress in Africa, describing the unique landscape and ongoing challenges as embedded within wider socio-political realities. Distinct research opportunities in the African context are explored to include genetic and bio-diversity, multilingual and multicultural populations, life-course development, clinical neuroscience and neuropsychology, with applications to machine learning models, in light of complex post-colonial legacies that often impede research progress. Key determinants needed to accelerate African neuroscience are then discussed, as well as cautionary underpinnings that together create an equitable neuroscience framework.

Endometriosis is an incurable, under-diagnosed, systemic inflammatory disease affecting millions world-wide. Common symptoms include life-impacting pain, gastrointestinal/urinary symptoms, excessive fatigue, and infertility. Global public health policies are urgently needed to promote awareness, implement multidisciplinary care, and fund research for aetiology, biomarker discovery, and effective therapies for symptoms associated with endometriosis.

Despite significant progress in CO2 conversion field, there remains a significant gap between fundamental research and the industrial demands. This Comment discusses key performance parameters for industrial applications and outlines current limitations in the field.

Optimisation tasks in the inverse design of metamaterials with machine learning were limited due to the representations of generative models. Here the author comments a recent publication in Nature Communications which generates a latent space representation that unlocks non-linear optimisations.

Following the COVID-19 pandemic, the French government established a committee for monitoring and anticipating health risks. In this Comment, the authors describe the One Health approach taken by the committee, and outline its aims, composition, and initial actions.

The exploration of our solar system is being radically changed since the beginning of operations of the James Webb Space Telescope (JWST) in mid 2022. JWST’s extraordinary sensitivity and instrumentation allow for sensitive searches for the building blocks of life and to test for habitability, also enabling new discoveries on small bodies to giant planets across our solar system and beyond.

Spatial transcriptomic profiling of cancer has enabled spatial delineation of malignant transcriptional heterogeneity, intercellular communication, and organization of microanatomical structures within the tumor microenvironment. This technical breakthrough paves the way for the development of precision diagnostic methods and targeted therapies.

The superspreading that characterized SARS and now COVID-19 can be rapidly quantified; however, its implications for outbreak control were never well understood. Recent studies point to its profound impact on outbreak dynamics and prospects for effective control of a future Disease X. These insights necessitate research into the mechanisms, impact and different modes of superspreading more widely.

In this Comment, the authors describe recent outbreaks of highly pathogenic avian influenza in cat shelters in Seoul, South Korea. They discuss potential routes of transmission and describe implications for surveillance of spillover infections in animals in non-agricultural settings.

Machine learning is a powerful tool for the study and design of molecules. Here the authors comment a recent publication in Nature Communications which highlights the challenges of different molecular representations for data-driven property predictions.

2D semiconductors have been proposed as a potential option to replace or complement silicon electronics at the nanoscale. Here, the authors discuss the recent progress and remaining challenges that need to be addressed by the academic and industrial research communities towards the commercialization of 2D transistors.

β-Glucocerebrosidase (GCase) mutations lead to glucosylceramide build-up in the lysosome, impacting α-synuclein aggregation and autophagy. Recently, Baden and colleagues found GCase in mitochondria, supporting mitochondrial complex I function and energy metabolism. We believe the newly described role of GCase in the mitochondria will inform new Parkinson’s and Gaucher’s disease therapeutics.

A recent study demonstrated the existence of mutations that facilitate access to efficient evolutionary solutions. Here I discuss the implications of this finding and the potential to open a new chapter in the study of evolvability.

Climate extremes threaten the land carbon sink and it is important to understand their impact in a changing climate. A recent study provides new insights on reduced forest carbon uptake during the severe 2022 drought and heatwave across Europe.

The availability of maker resources such as 3D printers, makerspaces, and public repositories enable researchers to share information with research peers, educators, industry, and the general public. This broadens the impact of research and inspires its extension and application.

The commercialization of DNA tagging is a growing trend that demonstrates the increasing practicality of this novel approach. This interdisciplinary technology is based on the distinctive characteristics of DNA as a molecule that can remain stable in varying environmental conditions and store data following appropriate preparation. Moreover, newly developed technologies could simplify DNA synthesis and the encoding of data within DNA. The implementation of DNA tagging presents distinctive benefits in comparison to conventional labelling techniques, including universal product code (UPC) barcoding, radio-frequency identification (RFID), quick response (QR) codes, and Bluetooth technologies, by surmounting the limitations encountered by these systems. The discourse pertains to extant DNA-tagging mechanisms along with prospective implementations in a wide range of domains, including but not limited to art, the metaverse, forensics, wildlife monitoring, and the military. The potential of DNA labelling in various contexts underscores the importance of continued research and development in this rapidly evolving field.

Seismological advances are presented and summarized to study the Earth’s core.

We propose the use of the terms natural gene drive (NGD) and engineered gene drive (EGD) arguing against James et al.¹, who think both should be included within the term “gene drive”, based on their mechanistic similarities.