Search

Prime editing in mammalian cells benefits from a comprehensive list of genetic parts.

The Na⁺ -pumping NADH-quinone oxidoreductase is a redox-driven sodium pump often found in pathogenic bacteria. Here, the authors demonstrate how enzyme structural changes efficiently couple electron transfer to Na⁺ translocation.

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

How to effectively communicate climate change to the public has long been studied and debated. Through a registered report megastudy, researchers tested the ten most-cited climate change messaging strategies published, finding that many had significant, but small, effects on climate change attitudes.

The balance between radial progenitors and intermediate precursors to generate upper-layer neurons during the development and evolution of the cerebral cortex is mediated by members of the tuberous sclerosis complex.

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.

This study demonstrates that the MKK3b/6 signalling pathway drives the skeletal muscle growth-promoting effects of resistance exercise.

Analytical gaps limit the utility of scATAC-seq for studying gene regulatory programs in human disease. Here, authors describe MOCHA, a robust analytical tool with advanced statistical modelling that enables functional genomic inference in large cross-sectional and longitudinal human studies.

Spatially segregated rRNA processing dictates nucleolar morphology and drives outward progression of pre-ribosomal RNA through nucleolar phases.

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.

This multi-omic longitudinal analysis of the healthy human peripheral immune system constructs the Human Immune Health Atlas and assembles data on immune cell composition and state changes with age, including responses to cytomegalovirus infection and influenza vaccination.

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.

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.

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.

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 co-evolution of oxygenation of the Earth’s atmosphere and lithosphere is still poorly constrained. However, the oxidation state of manganese minerals reveals that the redox state of Earth’s crust responds to changes in atmospheric oxygen following a ~66 million-year time lag.

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.

Peptide design remains a challenge owing to the large library of amino acids. Rational design approaches, although successful, result in a peptide design bias. Now it has been shown that AI techniques can be used to overcome such bias and discover unusual peptides as efficiently as humans.

Scalable CRISPRa screening of cis-regulatory elements in non-cancer cell lines has proved challenging. Here, the authors describe a scalable, CRISPR activation screening framework to identify regulatory element-gene pairs in diverse cell types including cancer cells and neurons.

This study uses a novel vascular model with human induced pluripotent stem cell-derived endothelial cells, pericytes, and smooth muscle cells to explore the vascular complications associated with SARS-CoV-2. It reveals that smooth muscle cells as the primary sites of infection and inflammation.

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.

By leveraging paired microbiome and human gene expression data from pediatric patients who underwent hematopoietic cell transplantation, distinct lung–immune system–microorganism interactions were identified as important drivers of fatal lung injury.

A computationally efficient description of ice-water systems at the mesoscopic scale is challenging due to system size and timescale limitations. Here the authors develop a machine-learned coarse-grained water model to elucidate the ice nucleation process much more efficiently than previous models.

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.

Siew et al. using multi-omic, physiological & imaging approaches have demonstrated that spaceflight causes kidney remodelling, suggesting a contribution to kidney stone formation, & that space radiation causes kidney damage & early signs of dysfunction.

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.

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.

Exploration of metastable phases of a given elemental composition is a data-intensive task. Here the authors integrate first-principles atomistic simulations with machine learning and high-performance computing to allow a rapid exploration of the metastable phases of carbon.

Viral infection is a common risk for immune-compromised individuals, particularly pediatric patients receiving hematopoietic stem cell transplants. Here the authors report a phase II trial testing adoptive transfer of third party, virus-specific T cells on the feasibility, safety, clinical responses, as well as homeostasis of antiviral immunity in the recipients.

Many clock proteins contain intrinsically disordered regions, but how these regions mediate protein interactions is poorly understood. Here, the authors identify charge blocks within a disordered clock protein that regulate circadian timing.

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.

Long COVID or post-acute sequelae of SARS-CoV-2 is defined by persisting chronic symptoms following acute SARS-CoV-2 infection but represent an aetiologically diverse group of disorders. Here authors identify molecularly distinct subtypes, including a form with persistent inflammation, via longitudinal analysis of serum proteome.

Perturbations and disturbances can bring complex networks into undesirable states in which global functionality is suppressed. Now, a recovery scheme explains how to revive a damaged network by controlling only a small number of nodes.

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.

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.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

Flamino et al. examine changes in the political news media and influencer landscape of Twitter between the 2016 and 2020 US presidential elections.

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.

Pugh and colleagues use single-cell RNA sequencing, CRISPR screens and functional assays to define a gradient of developmental and wound-response cell states in glioblastoma stem cells, revealing insights into glioblastoma origins and potential therapeutic targets.

The analysis of longitudinal bulk and single-cell multi-omics data is a highly complex task. Here, the authors introduce PALMO, a software platform with five modules to analyse longitudinal bulk and single-cell multi-omics data, which is extensively tested in external datasets that include multiple omics modalities.

Yang et al. show that transcription–replication collisions lead to large tandem duplications, which are frequent in female-enriched, upper gastrointestinal tract and prostate cancers and are associated with poor survival and mutations in specific genes, such as CDK12.

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.

Signaling through transmembrane receptors regulates diverse biological processes including cell proliferation, motility and differentiation. Here, the authors demonstrate the optogenetic control of endogenous transmembrane receptor activity through clustering using a new modular strategy.

Chondroitin sulfate (CS) is a type of sulfated glycosaminoglycan that is manufactured by extraction from animal tissues for the treatment of osteoarthritis and in drug delivery applications. Here, the authors report the development of single microbial cell factories capable of compete, one-step biosynthesis of animal-free CS production in E. coli.

Systematic studies are needed to discover molecular determinants of blood brain barrier dysfunction in Alzheimer’s disease. This study identifies perturbed pericytic SMAD3-astrocytic VEGFA interactions as a potential driver of this dysfunction.