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Climate change is increasing the frequency of flash droughts worldwide, posing threats to global ecosystems. This study suggests that flash droughts cause 1.5 times greater vegetation loss than conventional droughts and delay ecosystem recovery, with impacts intensifying over recent decades.

CRISPR-Cas12b diagnostics are limited by sgRNAs length. Here, authors present a split sgRNA approach enabling precise Cas12b activity regulation and direct microRNA detection without reverse transcription, using clinical samples.

Resistance to first line treatment is a major hurdle in cancer treatment, that can be overcome with drug combinations. Here, the authors provide a large drug combination screen across cancer cell lines to benchmark crowdsourced methods and to computationally predict drug synergies.

Coordination-driven supramolecular assembly provides the ability to build molecular architectures of impressive complexity. Here, the authors use a series of linear metal-organic ligands with specific sequences to construct multiple generations of precisely-controlled, 2D fractal polycyclic supramolecules.

Traditional nanoparticle synthesis faces inefficiency issues. Here, authors developed an AI-driven robotic platform combining GPT models and A algorithm to autonomously optimize metallic nanoparticle synthesis with minimal experiments, achieving high reproducibility.

The authors develop drinkable nanomachines to deliver active hydrogen to intestinal injury sites in mice, enabling drug-free radiation enteritis therapy by scavenging reactive species, reducing inflammation, modulating gut microbiota, and improving survival

This study demonstrates that a single antibody exhibits distinct binding modes with SARS-CoV-2 WT and Omicron variants, correlating with neutralization loss. The underlying mechanisms offer insights into enhanced neutralization.

Rheumatoid arthritis patients respond differently to anti-TNF treatment. Using community-based challenge, the authors show that currently available data does not reveal meaningful genetic predictors of response to anti-TNF therapy, thus confirming clinical observations.

There are limited prevention or treatment options for PRRSV. Here, the authors identified nitazoxanide as a promising inhibitor of PRRSV and demonstrate its antiviral efficacy in reducing PRRSV replication and transmission in vivo.

The accuracy of single-cell sequencing can be hampered by the occurrence of doublets, where two or more cells are sequenced together, thus leading to data misinterpretation. Here, the authors present ImageDoubler, an image-based algorithm for detecting doublets and missing samples in single-cell sequencing.

Wang et al. profiled T cells in atherosclerotic plaques, artery tertiary lymphoid organs, and lymph nodes in mice with advanced atherosclerosis by single-cell RNA sequencing paired with T cell antigen receptor sequencing and observed complex patterns of deteriorating peripheral T cell tolerance. Signs of CD8⁺ tolerance dysfunction were found also in human plaques transcriptomic data, indicating that atherosclerosis can be considered as a bona fide T cell autoimmune disease.

The peripheral nervous system uses neuroimmune cardiovascular interfaces to assemble a structural artery–brain circuit, and therapeutic intervention in the artery–brain circuit attenuates atherosclerosis.

Anxiety involves abnormal respiratory responses to emotional stimuli. Here, the authors show that CeA^GABA neurons, acting as a central hub, are instrumental in orchestrating anxiety-like behaviors and breathing patterns through the CeA-PVT and CeA-LPBN-preBötC circuits, correspondingly.

A statistical modeling method is proposed to generalize right censored data to a standard regression problem, thus making it possible to apply regression learning algorithms to survival prediction problems.

Here the authors report that the metabolome profile is an unexploited factor impacting the targeting efficacy and safety of nanomedicines, using cholesterol as an example, showing a way and need to develop personalized nanomedicines by harnessing disease-related metabolites.

Knowledge of the wide array of epigenomic signals provides biological insight into the state of a give cell type, but it is infeasible to experimentally characterize all possible types of epigenomic signal in the multitude of cell types in the human body. The authors present Ocelot, a machine learning approach for imputing cell-type-specific epigenomic signals along the genome.

Benchmarking of tumor subclonal reconstruction algorithms finds that interalgorithm variability overwhelms intertumor variability and identifies key quality metrics.

ApoE is a direct checkpoint inhibitor of unresolvable inflammation in neurodegenerative and cardiovascular diseases

A benchmarking competition improves tools that predict how regulatory regions control gene expression.

Multiple algorithms exist for predicting heterogeneity and clonal architecture from the bulk sequencing of tumor tissue. Here, the authors report on an algorithm, FastClone, which was developed from a DREAM challenge and show that FastClone can accurately predict clonality in simulated data and data from colon cancer.

The HPN-DREAM community challenge assessed the ability of computational methods to infer causal molecular networks, focusing specifically on the task of inferring causal protein signaling networks in cancer cell lines.

Lijun Bi and colleagues report sequencing of 161 tuberculosis strains from China, including 44 drug-sensitive, 94 MDR and 23 XDR isolates. They identify 72 new genes and 28 new intergenic regions significantly associated with drug resistance.

Methods for reconstructing tumor evolution are benchmarked in the DREAM Somatic Mutation Calling Tumour Heterogeneity Challenge.

Multivariate climate elasticity modelling of pathway-specific contributions to sediment dynamics in the Qinghai-Tibet Plateau suggest sediment trend bifurcations are driven by interactions among precipitation, temperature, and vegetation under climate change

Forest fire prevention methods are often not environmentally friendly and are limited in remote areas. Here, a gelatin-based fire spray extends ignition time and reduces the heat release of fires while also acting as leaf and soil fertilizers to aid plant growth.

In this DREAM challenge, 75 methods for the identification of disease-relevant modules from molecular networks are compared and validated with GWAS data. The authors provide practical guidelines for users and establish benchmarks for network analysis.