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Early human heart development is shaped by biomechanical cues that are difficult to study in vivo. Here, authors engineer a perfusable 3D-bioprinted model of the embryonic heart tube for in vitro modelling of early human heart development.

Lu and colleagues present a detergent-free labeling method using modified aptamers to identify brain cell types at scale. This technique preserves cellular ultrastructure, allowing molecular information to be integrated into large-scale connectomics.

HIV-1 releases its DNA when its protective capsid shell disassembles (uncoats) inside membraneless subnuclear organelles called nuclear speckles. Drugs that force uncoating to occur elsewhere promote viral DNA insertion into different genomic sites.

Placenta plays a central role in prenatal development, yet it has been notably underrepresented in large-scale tissue-specific genomic and transcriptomic initiatives. Here, the authors generate a comprehensive placental transcriptome reference using long-read sequencing, revealing unexpected transcriptional complexity. Applied to gestational diabetes data, the reference identified pregnancy hormone isoforms mediating effects on newborn birth weight.

Decreased brain volumes and increased NfL levels can be observed earlier than disease diagnosis in short-tandem-repeat-associated neurological diseases.

When 100 social and behavioural science claims were examined, 34% of reanalyses closely matched the original results, with 74% reaching the same conclusion, revealing limited robustness of single-path analyses and the need to address analytical uncertainty.

DNA-sequencing data from primary tumours and paired metastases from participants in the TRACERx lung study and PEACE autopsy programme are used to analyse the metastatic diversity of advanced non-small cell lung cancer and the seeding patterns that underpin it.

Here, the authors sample air and surfaces in hospital rooms of COVID-19 patients, detect SARS-CoV-2 RNA in air samples of two of three tested airborne infection isolation rooms, and find surface contamination in 66.7% of tested rooms during the first week of illness and 20% beyond the first week of illness.

Two individuals with KCNT1-related epileptic encephalopathy were treated with a KCNT1-targeting antisense oligonucleotide, leading to significant reductions in seizure frequency and intensity, but also the development of hydrocephalus.

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.

To achieve simultaneous transparency and vivid multicolor switching in electrochromics is desirable owing to their potential as next-generation transparent displays. Here, the authors show a single-molecule design strategy that integrates a rhodamine moiety with a propylenedioxythiophene unit and incorporates molecular doping to achieve high optical transmittance with three distinct optical states.

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.

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 Human Development Multiomic Atlas catalogues single-cell accessibility and gene expression data from human fetal cells across 12 organs, enabling the inference of syntactic rules for motifs that govern cell-type-specific transcription factor binding and chromatin accessibility during human development.

A screen of lung-targeting lipids revealed lipid nanoparticles offering improved delivery of mRNA and genome editors to lungs. Probing structure–activity relationships revealed a unique ‘tripod-like’ shape associated with the improvements.

A multiancestry phenome-wide analysis of copy number variants in the UK Biobank genomes increases power to detect genetic associations with complex traits across human populations.

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.

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

Imprinting by influenza viruses can cause a deleterious shift of nearly the entire memory recall response against key, conserved epitopes.

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).

CD27 is a key T-cell costimulatory receptor, but efforts to target CD27 have been limited by the poor clinical efficacy of first-generation anti-CD27 antibodies. The authors here engineer higher-valency antibodies by more effectively engaging CD27 and selectively binding to FcγRIIB, which enhance anti-tumor activity.

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.

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.

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.

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.

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.

Rare coding variants that reduce the activity of a protein can have a beneficial impact on health. Here, researchers identify rare genetic variants in the CHRNB3 gene that associate with reduced cigarette smoking across diverse populations.

GDF15 has been associated with cancer-associated cachexia. Here, the authors show that STK11/LKB1 loss-of-function mutations in non-small cell lung cancer result in an exaggerated integrated stress response culminating in the tumor cell secretion of the cytokine GDF15 promoting cachexia.

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.

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.

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.

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

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.

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.

Coronary artery disease is a leading health threat, yet age- and sex-specific plaque patterns remain unclear. Here the authors show, using a 16,300-patient CCTA cohort, that females develop atherosclerosis ~20 years later, accelerating following menopause.

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 blood-brain barrier (BBB) regulates the extracellular composition of the central nervous system (CNS), but it is not known whether its properties differ across CNS regions. Here, the authors show in mice that the BBB exhibits regional specializations, and that such specializations can be important for the function of specific neural circuits.

Dysregulation of ribonucleoprotein complex granules, previously implicated in neuromuscular disease, can drive pathogenesis in a genetic form of dilated cardiomyopathy, as shown in gene-edited pigs and patient-derived cardiomyocytes.

The genomes of 102 primary pancreatic neuroendocrine tumours have been sequenced, revealing mutations in genes with functions such as chromatin remodelling, DNA damage repair, mTOR activation and telomere maintenance, and a greater-than-expected contribution from germ line mutations.