Search

Population-based surveys are the gold standard for estimating seroprevalence but are expensive and often only capture a small geographic area or window of time. This study describes a new platform, SCALE-IT, for serosurveillance based on algorithmic sampling of electronic health records, and uses it to estimate the seroprevalence of SARS-CoV-2 in San Francisco.

Here they perform a systematic dissection of OCT4 and reveal how intrinsically disordered regions can be used to serve specific functions during reprogramming and embryonic development. This can be exploited to engineer more efficient and specific reprogramming factors.

Infant KMT2A-rearranged acute lymphoblastic leukemia is associated with poor overall survival rates. Here, the authors use WGS and WES of 36 relapsed KMT2A-rearranged ALL and AML patients and find alterations in drug response genes in ALL, which may correspond with relapse time. Longitudinal analyses of >250 samples could track residual leukemia cells, clonal drug responses, and the upcoming relapse.

Nature Biotechnology’s annual survey highlights university startups that are, among other things, rethinking how to deliver gene-editing therapy and tackling various metabolic conditions, immune disorders and cancer with microbiome treatments or immunotherapy. Michael Eisenstein, Ken Garber, Esther Landhuis, Caroline Seydel and Laura DeFrancesco report.

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.

Klein and colleagues characterize 04_A06, a new V_H1-2-encoded broadly neutralizing antibody that has marked breadth and potency against extended multiclade HIV-1 pseudovirus panels and can maintain full viral suppression in HIV-1-infected humanized mice.

Defining the spatial organization of tissues and organs like the brain from large datasets is a major challenge. Here, authors introduce CellTransformer, an AI tool that defines spatial domains in the mouse brain based on spatial transcriptomics, a technology that measures which genes are active in different parts of tissue.

A complementary analysis of DESI DR2 distance measurements along with supernova and CMB data shows consistent, moderate evidence that dark energy changes over time rather than behaving as a simple cosmological constant.

Membrane trafficking is essential for organelle biogenesis. Here, the authors discover an alternative assembly of the Commander trafficking complex and show its role in melanosome biogenesis and in a subtype of albinism.

The authors introduce the Neurolipid Atlas, a dynamic resource for the community to gain insight into lipid alterations in neurodegenerative disease, and they leverage the platform to show how cholesterol alterations in astrocytes can dysregulate neuroinflammatory pathways in Alzheimer disease.

People living in rural areas of the United States have poorer outcomes from acute COVID-19. Here, the authors show that higher mortality rates among rural dwellers persist for up to two years after the initial infection, even after accounting for baseline risk factors.

CURT1/CurT proteins, known for shaping thylakoid membranes in photosynthetic organisms, play a newly found role in coordinating cell division and symmetry. Being shared in cyanobacteria and green algae this role is likely phylogenetically ancient.

Nature Biotechnology’s annual survey highlights academic start ups that are, among other things, correcting misfolded or disordered proteins, creating second-generation GPCR agonists, building a new gene delivery platform and mining cancer genomes for novel targets.

Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

Virus-host competition drives evolution of diverse antiviral defences in bacteria and antidefense systems in their viruses (phages). Here, Silas et al. use a functional screen of phage accessory genes to show how bacterial cell-surface sugars can be major determinants of phage host-range, and how some phage proteins injected into bacterial cells inhibit host immunity.

Continued monitoring of SARS-CoV-2 at the population level is important for identifying at-risk groups. Here the authors analyse data from a serological surveillance platform in San Francisco and find considerable variation in infection and vaccination history by race/ethnicity and socioeconomic status.

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.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) is a rare cancer. Here, the authors develop a NLPHL specific model to identify 34 distinct cell states across 14 cell types that co-occur within 3 lymphocyte predominant ecotypes (LPEs) for 171 cases.

Our annual survey highlights startups tackling intractable viruses with new vaccine design, engineering a reliable source of platelets, universalizing cell therapies, improving cancer screening, developing RNA-editing platforms and targeting protein–RNA interactions. Michael Eisenstein, Ken Garber, Caroline Seydel and Laura DeFrancesco report.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

The largest harmonized proteomic dataset of plasma, serum and cerebrospinal fluid samples across major neurodegenerative diseases reveals both disease-specific and transdiagnostic proteomic signatures, including a robust plasma profile associated with the APOEε4 genotype.

Mondal et al. report that autophagy inhibition promotes p63 activation and metastasis in breast cancer. This process depends on NBR1, which forms cytoplasmic p62/SQSTM1 condensates that sequester the ITCH ubiquitin ligase and prevents p63 degradation.

Neonatal gyrated brains harbor an elaborate subventricular zone, termed the Arc, supporting cortical migratory streams of diverse interneurons.

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.

In this work, authors assess airway microbiome dynamics to show bacterial pneumonia in critically ill COVID-19 patients is significantly associated with death, corticosteroid treatment, disruption of the lung microbiome and a distinct pulmonary host response.

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.

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.

The study advances the use of serological surveys to guide trachoma elimination program decisions and provides a way to set thresholds for whether or not to continue an intervention program.

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.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

EchoNext, a deep learning model for electrocardiograms trained and validated in diverse health systems, successfully detects many forms of structural heart disease, supporting the potential of artificial intelligence to expand access to heart disease screening at scale.

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.

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.

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.

Proteome allocation to anabolic and catabolic functions is significantly regulated by growth rate in the model bacterium Escherichia coli. By contrast, this article shows that proteome allocation is only partially controlled by growth rate, and metabolic rates are primarily controlled post-translationally, in the thermophilic acetogen Thermoanaerobacter kivui.

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.

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.