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Drug resistance remains a major challenge in cancer treatment. Here, the authors identify Connexin43 as target that enhances BRAF/MEKi efficacy by interfering with DNA repair pathways, overcoming drug resistance. They develop an mRNA therapy that improves efficacy and sensitizes resistant cells.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.

The combination of computational design, laboratory-based screening and biophysical validation enables the de novo generation of variable heavy-chain antibody fragments and antibodies that precisely target chosen disease-related molecules.

Fine-tuning the RoseTTAFold structure prediction network on protein structure denoising tasks yields a generative model for protein design that achieves outstanding performance on a wide range of protein structure and function design challenges.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

A combined sequencing technique assesses 18 patients with high-grade serous ovarian cancer over a multi-year period from diagnosis to recurrence and shows drug resistance typically arises from selective expansion of one or a few clones present at diagnosis.

Analysis of soundscape data from 139 globally distributed sites reveals that sounds of biological origin exhibit predictable rhythms depending on location and season, whereas sounds of anthropogenic origin are less predictable. Comparisons between paired urban–rural sites show that urban green spaces are noisier and dominated by sounds of technological origin.

Here, the authors characterize the tempo and mode of lemur speciation with a phylogenomic dataset that also includes lorisiforms. They find that lemurs exhibited multiple bursts of diversification (without subsequent decline in diversification rate) with the highest diversification rates accompanied by high introgression rates.

A single-cell sequencing study using more than 30,000 tumour genomes from human ovarian cancers shows that whole-genome doubling is an ongoing mutational process that drives tumour evolution and disrupts immunity.

Imidazole propionate produced by gut microbiota is associated with atherosclerosis in mouse models and in humans, and causes the development of atherosclerosis through activation of the imidazoline-1 receptor in myeloid cells.

Asteroid 1998 KY26 is the target of Hayabusa2 extended space mission. Here, authors show that it is smaller and rotates faster than known.

Wearable sensors typically require innovative methods of energy harvesting for low-power electronics. Here, the authors present an adaptive power management system with a trimodal energy harvesting approach.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

CLPB is a protein disaggregase that has been linked to human disease. Here, the authors show that in different models of chronic or acute loss of the mitochondrial disaggregase, mitochondrial Ca²⁺ handling and fusion dynamics are impaired, revealing their dependence on CLPB.

The Authors demonstrate imaging of separation and formation of chemical bonds during an elimination reaction by means of intense femtosecond X-rays pulses.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

The LHCb experiment at CERN has observed significant asymmetries between the decay rates of the beauty baryon and its CP-conjugated antibaryon, thus demonstrating CP violation in baryon decays.

Genotype and exome sequencing of 150,000 participants and whole-genome sequencing of 9,950 selected individuals recruited into the Mexico City Prospective Study constitute a valuable, publicly available resource of non-European sequencing data.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

A multicenter randomized controlled trial found that incorporating time-restricted eating, regardless of the timing of the eating window, into usual care—combining a Mediterranean diet with a nutritional education program—did not reduce visceral adipose tissue compared with usual care alone in adults with overweight or obesity.

A population of neutrophils in the skin produces extracellular matrix, providing a defence strategy by reinforcing the barrier properties of the skin and helping to block the entry of pathogens.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

Genome-wide association analyses of intracranial and nine subcortical brain volumes in 74,898 participants of European ancestry identify 254 independent loci and yield polygenic scores accounting for brain variation across ancestries.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

A study describes a direct computational approach without experimental optimization to design high-affinity proteins that bind small helical peptides.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

Deep learning methods have been used to design proteins that can neutralize the effects of three-finger toxins found in snake venom, which could lead to the development of safer and more accessible antivenom treatments.

Wireless delivery of both light and pharmacological agents is important for optogenetic and other mechanistic experiments in the brain. Here the authors present a wireless real-time programmable optofluidic platform that enables optogenetics and photopharmacology experiments that require real-time precise control of light and drug delivery.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Multi-modal analysis of genomically unstable ovarian tumours characterizes the contribution of anatomical sites and mutational processes to evolutionary phenotypic divergence and immune resistance mechanisms.

YAP signaling has been established as a mechanotransductive pathway in multiple contexts, but its developmental roles are still being explored. Here they show that YAP signaling sustains intracellular tension to direct cell migration during embryonic axis assembly.

A mathematical framework to estimate the fitness of cancer driver mutations by integrating mutational bias, oncogenicity and immunogenicity finds fundamental trade-offs in cancer evolution.

Base editors can inactivate splice sites or introduce stop codons into a gene sequence. Here the authors present SpliceR to design, rank, and test sgRNAs for efficient gene disruption in T cells.

The 2023 monkeypox outbreak was caused by a subclade IIb monkeypox virus (MPXV). Here, using advanced sequencing techniques, the authors identify variations on low-complexity regions of the MPXV genome and describe their potential as evolutionary drivers.

Here, Franklin et al show that the mycobacterial glycoside hydrolase LamH cleaves lipomannan and lipoarabinomannan from their lipid carrier, facilitating the export of the polysaccharide domain and signalling bacterial growth phase transition.