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Here, the authors develop Q4ddPCR, a high-throughput assay to quantify genetically intact HIV reservoirs by targeting four regions, and demonstrate that it reduces assay dropout to 5%, tracks reservoir decay, and closely correlates with viral outgrowth.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

The lowest-frequency gravitational wave background may be shaped by supermassive black hole binaries that scatter nearby stars or dark matter. In this case, the NANOGrav 15-year dataset favours dense galactic centres with 10⁶ solar masses per cubic parsec.

The isolation of catenated nitrogen compounds is difficult, in part because these chains can readily lose nitrogen, creating a strong thermodynamic push towards decomposition. Now, a series of molecules containing radical anions of four-atom nitrogen chains have been synthesized and studied under ambient conditions; the chain can cleave into N1 and N3 fragments, and can act as a source of nitrene radical anion.

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

This paper uses multiomics to profile a large cohort of meningioma samples to highlight the role of the tumor microenvironment in driving the epigenetic changes underpinning tumor classification and prediction of outcome.

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.

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.

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.

González-Gualda, Reinius et al. demonstrate that platinum-based chemotherapy-induced senescence promotes malignancy in ovarian and lung cancer via TGFβ ligands, with evidence in mouse models validated in clinical samples. Concomitantly blocking TGFβ signaling with chemotherapy reduces tumor burden and increases survival in mice.

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.

This study analyses whole-genome sequencing data of cancer samples from 10,983 patients and explores relationships among mutational signatures, various biomarkers and clinical outcomes.

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).

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).

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.

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.

This Resource paper presents a global SARS-CoV-2 phylogenetic tree of 4,471,579 high-quality genomes consistently constructed by Viridian, an efficient amplicon-aware assembler.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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

In most metals the optical Hall effect is very small at visible wavelengths, and usually can only be observed at low frequencies. Here, Am-Shalom et al present a technique involving a large amplitude modulation of the external magnetic field, allowing for the measurement of the optical Hall effect in a range of metals at visible wavelengths.

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.

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.

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.