Articles in 2024

Product-selective switching of CO₂ hydrogenation is a huge challenge. Here, the authors report an approach to manipulating Fe-Co sites with three-dimensional graphene fences that achieves integrated synthesis of different products.

Topologically associating domains (TADs) are critical structural units in 3D genome organization, and their reorganization between health and disease states is associated with essential genome functions. However, computational methods for identifying reorganized TADs are still in the early stages of development. Here, the authors present an algorithm leveraging random matrix theory to identify reorganized TADs.

Microneedle patches that can actively address individual needles are challenging to realize. Here, the authors introduce a spatiotemporal on-demand patch for precise and personalized drug delivery, utilizing electrically triggered control with drug-loaded microneedles and biocompatible metallic membranes.

Subcellular in situ spatial transcriptomics offers the promise to address biological problems that were previously inaccessible but requires accurate cell segmentation to uncover insights. Here, authors present BIDCell, a biologically informed, deep learning-based cell segmentation framework.

Designing efficient high-density crossbar arrays are nowadays highly demanded for many artificial intelligence applications. Here, the authors propose a two-terminal ferroelectric fin diode non-volatile memory in which a ferroelectric capacitor and a fin-like semiconductor channel are combined to share both top and bottom electrodes with high performance and easy fabrication process

The decision to switch patients from intravenous to oral antibiotic therapy is important for the individual and wider society. Here, authors show a machine learning model using routine clinical data can predict when a patient could switch.

The intrinsic photovoltaic effect (IPVE) in noncentrosymmetric materials has the potential to overcome the limitations of traditional photovoltaic devices. Here, the authors report the observation of a strong and gate-tunable IPVE in 1D grain boundaries of a van der Waals semiconductor, ReS₂.

Doping strategies have been shown to stabilize the active platinum-nickel (PtNi) catalyst in fuel cells, however, the atomistic mechanism is less known. Here, the authors identify the roles of Mo and Au dopants in improving the durability of a PtNi nanowire catalyst for fuel cells.

Domestic attempts to advance the Sustainable Development Goals (SDGs) in a country can have synergistic and/or trade-off effects on the advancement of SDGs in other countries. Here the authors demonstrate that while high-income countries make up only 14% of the global population, they drive over 60% of worldwide SDG interactions.

Developing efficient methods for the formation and cleavage of amide species is a primary research goal, but the amide C–N bond cleavage is exceptionally challenging. Here, the authors report the development of an organocatalyst that can effectively catalyze the atroposelective ring-opening of biaryl lactams via amide C–N bond cleavage.

A personalized letter from the Medical Examiner-Coroner in Los Angeles County has proven effective at reducing opioid and benzodiazepine prescribing. Here the authors show that the introduction of if/when-then planning prompts in to the letter further reduced opioid prescribing by 12.85% and benzodiazepine prescribing by 8.32%; they were most effective for clinicians with multiple patient deaths due to accidental opioid-related overdose.

The molecular mechanisms underlying malignant transformation of the Schwann lineage in Schwann cell tumours remain to be explored. Here, the authors suggest that NF2 inactivation leads to PAK activation leading to NF1-mutant Schwann cell tumour de-differentiation and resistance to selumetinib.

In this work, the authors identified a hypervirulent carbapenem-resistant Escherichia coli ST410 clone which carries a high pathogenicity island and an O-antigen gene cluster. The findings highlight the ongoing evolution of ST410 towards increased resistance and virulence.

This study presents the cryo-EM structures of polymorphic TDP-43-derived amyloid fibrils that share a common fibril protein conformation constituting an amyloid key motif. The obtained results provide a possible mechanistic explanation for the formation of this motif in amyloid fibrils.

Schwannomas are regularly treated with radiotherapy, but the molecular effects on these tumours and their microenvironment remain unclear. Here, the authors show that radiotherapy can induce epigenetic reprogramming and immune infiltration in schwannomas, and develop the snARC-seq approach to analyse the epigenomic evolution at the single-cell level.

Electrons detached from atoms by photoionization carry valuable information about light-atom interactions. Here, authors propose a novel attoclock interferometry to spatiotemporally shape and image the electron wave function, from which the quantum nature of strong-field ionization is identified.

Stapled α-helical peptides are promising for targeting challenging targets such as transcription factors, but achieving sufficient cell permeability while avoiding off-target cleavage is difficult. Here, the authors present workflows for identifying stapled peptides against Mdm2(X) with in vivo activity and no off-target effects based on comprehensive investigations of their properties.

Prelithiation can introduce controllable amounts of lithium within porous silicon, however it yields a highly reactive material unsuitable for biomedicine. In this study, the authors present a strategy to lithiate porous silicon nanowires, resulting in a biocompatible and bioresorbable material.

Systematic understanding of CRISPR enzyme RNA binding specificity and cleavage is lacking. Here the authors report RNA chip-hybridised association-mapping platform (RNA-CHAMP), a workflow that repurposes next generation DNA sequencing chips to measure the binding affinity for RNA targets.

Molecular diagnostics for tuberculosis have focused on predicting drug susceptibilities in a binary manner (i.e., strains are either susceptible or resistant). Here, CRyPTIC Consortium researchers use whole genome sequencing and a quantitative assay to identify associations between genomic mutations and minimum inhibitory concentrations in over 15,000 Mycobacterium tuberculosis clinical isolates.