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Analysis of sequencing data from rare disease cohorts identifies biallelic variants in RNU2-2 underlying a developmental and epileptic encephalopathy associated with reduced U2-2 abundance and clinically distinct from the dominant RNU2-2 disorder.

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.

A follow-up analysis of a clinical trial that evaluated anti-PD-1 therapy in patients with cancer who are living with HIV provides mechanistic insights into transcriptomic, cellular and cytokine changes related to immune checkpoint inhibitor treatment and identifies a signature associated with clinical response.

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.

The long spin diffusion lengths in graphene make it attractive for spintronic applications but achieving efficient spin injection is proving challenging. Here, the authors show that functionalized graphene can act as a tunnel barrier, demonstrating non-local homoepitaxial spin valves.

Zhang et al. report that the BLA contains ‘hardwired’ positive-valence and negative-valence neurons, which each express Fezf2 but have distinct connectivity. These neurons separately drive learning and expression of avoidance or approach behavior.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

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.

To understand speech, our brains have to learn the different types of sounds that constitute words, including syllables, stress patterns and smaller sound elements, such as phonetic categories. Here, the authors provide evidence that at 7 months, the infant brain learns reliably to detect invariant phonetic categories.

Perro and colleagues develop a CD3⁺ T cell engager co-targeting BCMA and CD38 to improve immunotherapy for multiple myeloma, demonstrate cytotoxicity in patient-derived samples and murine models and develop a quantitative systems pharmacology model.

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.

Understanding the effect of vaccination on emerging SARS-CoV-2 variants of concern is of increasing importance. Here, James et al. report that two doses of vaccination with the Pfizer-BioNTech vaccine induce more robust immune responses to the B.1.1.7 and B.1.351 SARS-CoV-2 lineages than does natural infection.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

Differential cross-reactivity to haemagglutinin of various influenza B viruses shows lineage-specific susceptibility that varies between birth cohorts and was determined by early exposure to specific strains.

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.

Disparities in risk and outcomes of pediatric acute lymphoblastic leukemia (ALL) are apparent between different ancestries. Here the authors identify genetic variants with African ancestry-specific risks for developing pediatric B-cell ALL that are also linked to greater 5-year mortality risk.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

Insufficient AHR activation has been suggested in SLE, and augmenting AHR activation therapeutically may prevent CXCL13⁺ T_PH/T_FH differentiation and the subsequent recruitment of B cells and formation of lymphoid aggregates in inflamed tissues.

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.

Complex spike burst discharges of hippocampal neurons are proposed to be important for plasticity. Here, the authors report that in CA3 pyramidal neurons complex bursts generated by intrinsic mechanisms, can represent heterogeneous input-output functions and are regulated by HCN and Kv2 channels.

Neuronal activity increases local cerebral blood flow (CBF) to satisfy metabolic demand, yet the role of astrocytes in this phenomenon is controversial. Here, the authors show that astrocytes amplify CBF only when neuronal activity is sustained.

A defining human characteristic is the ability to perform diverse cognitively challenging tasks. The authors show that this adaptability relates to a network sampling mechanism, where brain-wide network states transiently blend the unique combinations of neural resources required by different tasks.

The immunological parameters that define severe influenza disease are not clear within human real time infections. Here the authors compare a severe influenza infection cohort with an influenza vaccinated cohort to understand correlates of severe influenza disease.

Multiphoton microscopy requires precise increases in excitation power with imaging depth to generate contrast without damaging the sample. Here the authors show how an adaptive illumination function can be learned from the sample’s shape and used for in vivo imaging of whole lymph nodes.

The first report of the ICGC-TCGA DREAM Somatic Mutation Calling Challenge introduces the BAMSurgeon tool for accurate tumor simulation and reports the performance of 248 submissions in calling single-nucleotide variants from three pairs of synthetic tumor–normal genome benchmarks.

Brief and synchronous inter-ictal events can occur between seizures. Using human tissue samples and electroencephalography, this study shows that the transition from pre-ictal discharge to ictal discharge involves distinct temporal and spatial characteristics as well as glutamatergic mechanisms.

JN.1 lineage is a globally dominant variant of SARS-CoV-2. Here, the authors examine structural insights into the BA.2.86 and JN.1 spike dynamics to help understand the mechanisms underlying SARS-CoV-2 infection and its neutralizing-antibody evasion.

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.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.