Search

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.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

Climate change can alter when and how animals grow, breed, and migrate, but it is unclear whether this allows populations to persist. This global study shows that shifts in seasonal timing are key to helping vertebrate species maintain population growth under global warming.

Mapping of the neutrophil compartment using single-cell transcriptional data from multiple physiological and patological states reveals its organizational architecture and how cell state dynamics and trajectories vary during health, inflammation and cancer.

Improved vaccines and antivirals are needed for many enveloped viruses. Here, the authors identify sulfur-based small molecules that disrupt viral membrane properties, inhibiting fusion and entry, and safely inactivate influenza virus. The resulting inactivated influenza vaccine is protective in mice.

New studies that document the effect of polymetallic nodule mining vehicles on deep-sea biodiversity suggest that keeping up with technological innovations will be key to more realistic impact assessments of deep-sea mining.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

While anti-PD-1 therapy can be effective in patients with breast cancer, response varies and is often limited by the development of resistance. Here, the authors investigate molecular determinant of response and resistance using multiomic single nucleus sequencing of longitudinal biopsies taken from breast cancer patients on a phase II clinical trial investigating neoadjuvant chemotherapy and pembrolizumab (anti-PD-1).

Integrating computational analyses of T cell exhaustion and mitochondrial fitness atlases with in vivo CRISPR screens has identified KLHL6 as a dual-negative regulator of both exhaustion differentiation and mitochondrial dysfunction, highlighting its potential as a target to enhance anti-tumour immunity.

The dorsomedial prefrontal cortex encodes the value, salience and valence of learned stimuli along distinct neural dimensions, and the geometry of these representations shapes motivated behaviours in mice.

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).

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

An aryne precursor is designed to overcome the lack of widespread adoption of arynes due to the undesirable means to generate them and harness their synthetic potential that rivals most functional groups.

Trends in global H₂ sources and sinks are analysed from 1990 to 2020, and a comprehensive budget for the decade 2010–2020 is presented.

PFAS are “forever chemicals” that build up in living things and can move through food webs. This study shows their levels roughly double with each step up the food chain, highlighting widespread chemical magnification in nature.

Long-range interactions are challenging for machine learning interatomic potentials (MLIPs). Here, authors show that, by just learning from energies and forces, MLIPs can accurately capture electrostatics and predict atomic charges.

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.

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.

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.

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.

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.

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.

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.

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.

Samples returned from asteroid Bennu by NASA’s OSIRIS-REx mission contain N-rich organics with prebiotic implications. This material probably formed in the earliest stages of the asteroid’s history possibly even before its water ice melted.

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.

Colorectal cancer is often diagnosed at later stages, leading to poor prognosis. Here, the authors utilise analysis of rectal mucus specimens using host and microbial analysis to detect cancer lesions.

Mitochondria play roles in sensing environmental and physiological stress, but their response can become maladaptive during chronic stress. Here they identify a protective miRNA response in C. elegans that maintains tissue health by attenuating mitochondrial stress signaling.

In this Perspective, Garza et al. revisit the keystone concept and discuss its relevance for microbial keystone taxa and functions. For this, they explore the different mechanisms behind keystoneness, cover the strengths and weaknesses of current keystone prediction methods, present recent findings on keystone taxa and functions and explore the role of keystones in community control.

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

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.

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.

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.

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.

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.

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.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.