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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.

The impact of ACKR3 constitutive activity is unknown. Here, the authors suppress basal ACKR3 activity using inverse agonistic nanobodies to stabilize an inactive conformation and revealing a role for ACKR3 in basal cell motility.

Lipid nanoparticle based mRNA vaccines are known to induce robust CD4 + T cell responses. Here the authors establish a role of endogenously derived antigen processing in the optimal priming of CD4 + T cell responses to mRNA lipid nanoparticle vaccines.

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.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

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.

Caspase 8 protein expression is largely absent in small cell lung cancer (SCLC) patients. Here, the authors generate a caspase 8 deletion SCLC mouse model and show that it promotes a neuronal progenitor-like cell state and pre-tumoral immunosuppression triggered by necroptosis that promotes metastasis.

In a multicenter, randomized trial of patients with atrial fibrillation and a low risk of thromboembolic events, treatment with the anticoagulant rivaroxaban showed no benefit in reducing cognitive decline, stroke or transient ischemic attack when compared to placebo.

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).

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

Together with an accompanying paper presenting a transcriptomic atlas of the mouse lemur, interrogation of the atlas provides a rich body of data to support the use of the organism as a model for primate biology and health.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

Synthetic cells have huge potential in model systems. Here, the authors engineer synthetic–living hybrid tumoroids that replicate tumour-immune interactions in 3D, study synthetic cells integration, and demonstrate systematic studies of immune evasion and T cell engager therapies.

A genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

The literature assumes that intergroup contact is naturally occurring, positive and consistently associated with positive outcomes, but these premises are inconsistent with everyday intergroup contact experiences. In this Perspective, Paolini et al. propose that variations in contact valence and environmental affordances for self-selection influence segregation dynamics, leading to stable trajectories of contact and intergroup bias.

Pilcher et al. present a single-cell transcriptomics-based immune atlas of participants with newly diagnosed multiple myeloma, reporting on the association of cell types, gene expression and intercellular interactions with disease progression phenotypes.

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.

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.

Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

A re-assessment of the global carbon budget shows the natural land sink is substantially smaller than previously estimated, indicating emerging impacts of climate change on the evolution of the carbon sinks.

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.

Internucleosomal linker length alters the stability and dynamics of chromatin condensates by shifting the balance between inter- and intramolecular interactions. Further, by changing the linker lengths, a remodeler can induce or suppress chromatin phase separation.

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.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

Dietary n-6 PUFAs enhance adipose tissue expandability through the PPARγ–LPCAT3 membrane remodelling axis.

Porous materials are technologically important for a wide range of applications, such as catalysis and separation. Covalently bonded organic cages can now be assembled into crystalline microporous materials, and their porosity is found to be intrinsic to their molecular cage structure.

This work presents a fully implantable wireless optogenetic device that delivers spatiotemporally patterned cortical stimulation through the skull and generates artificial perception in mice.

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.

Hypothalamic melanocortin-4-receptors (MC4R) regulate food preference in rodents, but their role in humans is unclear. Here, the authors perform food preference and liking tests in humans with MC4R mutations and find that they prefer fatty food more, but sweet food less, than people without MC4R mutations.

Here the authors identify TNIP1 as a risk factor for a fatal neurodegenerative disorder and discover specific genetic loci associated with the three main subtypes of this disorder. The findings highlight distinct disease mechanisms, emphasizing the roles of immunity and the notch signaling pathway.

Together with a companion paper, the generation of a transcriptomic atlas for the mouse lemur and analyses of example cell types establish this animal as a molecularly tractable primate model organism.

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.

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 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.

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.

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.

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.