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This study introduces the Lipid Nanoparticle Database (LNPDB) and web tool that consolidates lipid nanoparticle structure-function data. LNPDB facilitates molecular dynamics and deep learning approaches to advance data-driven design for nucleic acid delivery.

In young, estrogen-deprived female mice, the authors show that daily low-intensity vibration protected bone, muscle and fat metabolism. This treatment also enhanced bisphosphonate outcomes, strengthening the skeleton to counter adverse effects of cancer therapy on musculoskeletal tissue.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Ribas and colleagues report the results of a phase 2 clinical trial of neoadjuvant PD-1 blockade in patients with surgically resectable desmoplastic melanoma.

Molecular bilayer crystals of an organic semiconductor can exhibit metallic charge transport down to 8 K with an electrical conductivity of up to 245 S cm⁻¹, as well as charge carrier mobility values of more than 100 cm² V⁻¹ s⁻¹ at 20 K.

Optical control of integer and fractional Chern insulators is demonstrated by circularly polarized optical pumping in tMoTe₂.

Perineural invasion and cancer-induced nerve injury of tumour-associated nerves are associated with poor response to anti-PD-1 therapy, which can be reversed by combining anti-PD-1 therapy with anti-inflammatory interventions.

Twisted bilayer (tb) MoTe₂ is an ideal platform for investigating the fractional quantum anomalous Hall effect but issues related to air sensitivity make the study of its electronic structure experimentally challenging. As a solution, the authors prepare hBN encapsulated tb-MoTe₂ and using micro-angle resolved photoemission spectroscopy determine the band structure. Furthermore, through in-situ alkali metal deposition, they obtain evidence indicating a direct band gap.

mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to immune checkpoint inhibitors.

The early genetic evolution of uveal melanoma (UM) remains poorly understood. Here, the authors perform genetic profiling of 1140 primary UMs, including 131 small early-stage tumours, finding that most genetic driver aberrations have occurred by the time small tumours are biopsied; in addition, the15-gene expression profile discriminant score can predict the transition from low- to high-risk tumours.

Vassy, Dornisch and colleagues developed a genomics-based prostate cancer risk model to support a randomized clinical trial of precision screening in a national healthcare system.

A completely solid-state, single-chip, microwave-frequency surface acoustic wave phonon laser can generate coherent phonons from thermal noise or resonantly amplify injected phonons using only a direct current bias field.

How landscapes are arranged affects soil pathogenic fungi worldwide. The authors reveal the global pattern and pronounced scale-dependency of landscape complexity and land-cover quantity on soil pathogenic fungal diversity.

Lung adenocarcinomas bearing the ID2 mutational signature display increased LINE-1 retrotransposon activity, which contributes to their fast evolutionary dynamics and aggressive phenotype.

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.

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.

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.

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.

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.

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.

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.

Laboratory automation, machine learning, and metabolic engineering may be combined to quickly and efficiently build productive microbial strains. Here the authors used these techniques in P. putida to boost isoprenol titers 5-fold over six DBTL cycles while sampling a reduced design space.

The authors study pseudogap in electron-doped cuprates by computing the fermionic self energy beyond Eliashberg approximation. They show that recent experiments are consistent with the idea that pseudogap behavior is caused by thermal antiferromagnetic fluctuations with no Fermi-surface reconstruction.

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

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.

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.

Reported detections of gases in exoplanet atmospheres, including claims of biosignatures on K2-18 b, disappear when broader models are tested, revealing that such detections often reflect modelling limits rather than real signals.

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.

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.

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.

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.

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.

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.

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.

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.

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 combination of neoadjuvant nivolumab, ipilimumab and chemotherapy showed promising efficacy in patients with resectable non-small cell lung cancer, with higher tumor immune cell infiltration and tertiary lymphoid structures after treatment compared with neoadjuvant nivolumab plus chemotherapy.