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

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

Carta leverages lineage tracing data to infer the optimal trajectory of cell differentiation.

Kim, Yoon et al. analyze pre- and post-treatment voice recordings from 48 adolescents with major depressive disorder using machine learning and deep learning models. Deep learning outperformed machine learning approaches and accurately identified recovery, worsening, or unchanged states.

The transport behavior of high-entropy alloys (HEAs) remains unclear. Here, the authors explore the fundamentals of low-wear and high-conductivity refractory HEAs, examining the cocktail effect in conductivity, and highlight its potential applications in enhancing atomic-scale image resolution.

Flexibility and homogeneity are preferred properties for the kesterite solar modules to compete with silicon counterparts. Here, Yang et al. achieve these properties by designing a thin and multi-layered precursor structure and at the same time increase the open circuit voltage and device efficiency.

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.

The authors show that the CD4 mimetic CJF-III-288 stabilizes HIV-1 Env in an asymmetric “open” State-3 conformation, guiding anti-CoRBS antibodies to boost ADCC against infected cells and delay viral rebound in vivo, underscoring therapeutic promise.

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.

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.

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.

High-throughput chemical ligand discovery is challenged by false positives. Here, authors introduce a scalable enantioselective affinity-selection mass spectrometry approach for proteome-wide ligand discovery with high sensitivity and selectivity

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.

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 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.

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 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.

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.

The 4D Nucleome Project demonstrates the use of genomic assays and computational methods to measure genome folding and then predict genomic structure from DNA sequence, facilitating the discovery of potential effects of genetic variants, including variants associated with disease, on genome structure and function.

An analysis of skeletal stem cells in mice reveals that bone ageing occurs at the level of local niches affecting skeletal and haematopoietic lineage output, which may influence systemic aspects of multi-organ physiological ageing.

Tau protein has been observed to form condensates in various contexts. Here, the authors show that tau can form DNA-anchored droplets that organize nearby microtubules, pointing to a role in mitosis.

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.

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.

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.

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.

Phytochrome signaling in the nucleus can activate expression of photosynthesis-associated genes in plastids. Here Yang et al. show that NCP is a dual-targeted protein that promotes phytochrome B localization to photobodies in the nucleus while facilitating PEP polymerase assembly in the plastids.

Mirror twin boundaries in monolayer MoS₂—line defects with reflection-mirroring symmetry—are one-dimensionally metallic. In this work, the authors fabricate these mirror twin boundary networks by epitaxity and incorporate them into ultrascaled 2D transistor circuits as gate electrodes.

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.

Fibrodysplasia ossificans progressiva is an ultra-rare genetic disorder with progressive heterotopic ossification. Yang et al develop different gene therapy approaches and show their efficacy in mouse models and in human induced pluripotent stem cells.

Pathological B-cell receptor (BCR) signaling is a key driver of mantle cell lymphoma tumorigenesis. Here, the authors discover that CEACAM1, an immunoglobulin-like transmembrane protein, is essential for a subset of mantle cell lymphoma through activation of the BCR.

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.

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.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

The blood-brain barrier (BBB) restricts systemically delivered therapeutic antibodies into the brain. Here the authors engineer antibody Fc region to promote the binding to BBB expressed neonatal Fc receptor (FcRn) at neutral pH, therefore improving brain penetration and brain targeting efficacy both in mice and non-human primates.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Hardware implementation of analog reservoir computing is a challenge. The analog reservoir system in this work contains mixed phase boundary-based transistors with nonlinear short-term memory as physical reservoirs and artificial neuron, and nonvolatile ferroelectric transistors as readout networks.

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

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Nickel-heavy battery chemistries raise concerns over cost, supply risk and environmental impact. A new design cuts nickel use by over one-third, replacing it with more abundant manganese—without sacrificing performance.

SMARCB1 is frequently lost in solid cancer and reported to support tumourigenesis through STAT3 activation. Here, the authors show in several preclinical models that targeting IL6/JAK/STAT3 molecular pathway is a potential therapeutic approach for SMARCB1-deficient bladder cancer.

Archived patient-derived tissue specimens play a central role in understanding disease and developing therapies. Here authors present DropBlot, a microfluidic platform that integrates droplet-based antigen retrieval with single-cell immunoblotting, enabling efficient protein retrieval and proteoform separation from fixed human specimens.