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By combining a deep mutational scanning strategy with molecular modelling, electron microscopy as well as cellular and biochemical approaches, the authors identify key amino acids in the C-terminal domain of the Zika virus envelope protein (E) that regulate viral replication in mosquito and human cells.

Accurate, phased assemblies are a key tool in understanding the human genome, particularly in highly polymorphic regions like the medically important MHC. Here the authors provide an assembly-based benchmark for this difficult-to-characterize region.

Video microscopy is key in studying cell migration, but accomplishing this in a high-throughput manner is still challenging. Here, the authors present an array microscope that can track the movements of thousands of individual cells simultaneously, and that can be used for drug screening studies.

The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.

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.

Thick filaments in skeletal muscle and heart are composed of myosin. The authors show that the length of thick filaments is defined by titin, and that alterations in titin length affect force generation and lead to dilated cardiomyopathy in mice.

Five researchers discuss how diverse physics ideas can help better understand the part of Earth’s climate system consisting of snow and ice.

Structural, functional and computational studies uncover the molecular details of antiviral drug recognition and membrane translocation by a concentrative nucleoside transporter.

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

Assessing the accuracy of evapotranspiration (ET) data is crucial for managing the water used by crops and natural vegetation. This study presents a comprehensive evaluation of the accuracy of a remotely sensed ET model ensemble from the OpenET system using in situ ET measurements collected across the contiguous United States.

Mir-22 has been shown to be an oncogenic microRNA in breast cancer and myelodysplastic syndrome. Here, the authors show that mir-22 functions as a tumour suppressor in de novoacute myeloid leukaemia by inhibiting the expression of several oncogenes and that restoring mir-22 expression suppresses AML progression.

Aviation is a major contributor to climate change. This study assesses the potential of bioenergy crops planted in the US Midwest to meet projected US jet-fuel demand in 2040, finding that planting roughly 23.2 million hectares of marginal land with miscanthus would meet this need.

CRISPR/Cas9-based genome editing enables specific deletion of target genes. Here, Senturket al. develop an inducible editing system by fusing a conditional destabilization domain to Cas9 and demonstrate temporal control of gene editing in response to a synthetic ligand.

Two distinct and opposing models for clathrin-mediated endocytosis have been inferred from EM and structural biology data. Here the authors develop an optical method to directly visualize membrane-bending dynamics and show that coat assembly accommodates membrane bending during or after the assembly of the clathrin lattice, which is not predicted by either model.

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.

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.

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.

Day-night cycles in the biochemical composition of phytoplankton remain poorly understood. Here, Becker et al. use lipidomic and transcriptomic data from the North Pacific subtropical gyre to describe a daily cycle of production and consumption of energy-rich lipids by eukaryotic phytoplankton.

A plasmonic tweezer selectively attracts or repels enantiomers based on their handedness.

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.

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.

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.

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.

Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.

The intersection of genomics and deep learning shows promise for real impact on healthcare and biological research, but the lack of interpretability in terms of biological mechanisms is limiting utility and further development. As a potential solution, Koo et al. present SQUID, an interpretability framework built using domain-specific genomic surrogate models.

A study developed genomic resources and efficient transformation in the orphan crop groundcherry, and managed to improve productivity traits by editing the orthologues of tomato domestication and improvement genes using CRISPR–Cas9.

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.

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 ability of marine bacteria to direct their movement in response to chemical gradients influences inter-species interactions, nutrient turnover, and ecosystem productivity. Here, Clerc et al. show that marine bacteria are strongly attracted to algal polysaccharides, and this chemotactic behaviour is enhanced by dimethylsulfoniopropionate (DMSP), a ubiquitous algal metabolite.

Neovascular age-related macular degeneration and diabetic retinopathy are currently treated with repeated intravitreous injections of VEGF neutralizing proteins. Here the authors develop a microparticle-loaded tyrosine kinase inhibitor therapy, which is effective for six months after a single injection in preclinical models.

This study shows that conserving approximately half of global land area through protection or sustainable management could provide 90% of ten of nature’s contributions to people and could meet representation targets for 26,709 species of mammals, birds, amphibians, and reptiles. This finding supports recent commitments to conserve at least 30% of global lands and waters by 2030.

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.

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.

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.

Dendritic cells (DC) present tumour antigens to T cells but this process is defective in the tumour microenvironment. Here the authors find that downregulation of cholesterol 25-hydroxylase underlies defective cross presentation of tumour antigens.

IsoAnalyst is a mass spectrometry-based parallel stable isotope labeling platform that associates labeling patterns with bioinformatic structure prediction in order to connect natural products to their corresponding biosynthetic gene clusters.

Influenza A H1N1/2009 virus emerged from swine and rapidly replaced the seasonal H1N1 virus. Here, the authors show that natural selection acting on H1N1/2009 after introduction into humans was driven by adaptation to the new host but later selection has been driven by immunological escape.

The next level of miniaturization of electronic circuits calls for a connection between current single-molecule and traditional semiconductor processing technologies. Here, the authors show a method to prepare metal/molecule/silicon diodes that present high current rectification ratios exceeding 4,000.

The features of smart devices such as smartphones and smart watches, including speakers, microphones and other sensors, can be leveraged for the design of mobile medical systems. This Review discusses acoustic-based, vision-based and sensor fusion systems that rely on smart device hardware and software for remote health and disease assessment.

Genotype and exome sequencing of 150,000 participants and whole-genome sequencing of 9,950 selected individuals recruited into the Mexico City Prospective Study constitute a valuable, publicly available resource of non-European sequencing data.

By harvesting aquatic vegetation that provides habitat for snails that harbour Schistosoma parasites and converting it to compost and animal feed, a trial reduced schistosomiasis prevalence in children while providing wider economic benefits.