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Forests are essential for both climate change mitigation and biodiversity conservation, yet how to balance these goals in managed forests remains unclear. Here, using a Europe-wide dataset, the authors find that biodiversity increases with carbon stocks, but mostly when deadwood is included.

How landscapes are arranged affects soil pathogenic fungi worldwide. The authors reveal the global pattern and pronounced scale-dependency of landscape complexity and land-cover quantity on soil pathogenic fungal diversity.

Proteomic data from natural isolates of Saccharomyces cerevisiae provide insight into how these cells tolerate aneuploidy (an imbalance in the number of chromosomes), and reveal differences between lab-engineered aneuploids and diverse natural yeasts.

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

This study finds that crowd-sensed plants as living sensors uncover climate and soil patterns in 326 European cities; extend the urban heat island effect to moisture, pH, salinity and disturbance; and show built-up areas homogenize whereas urban forests preserve environmental diversity.

Natural product–inspired compounds are primed to interact with and manipulate biological processes, but obtaining these complex molecules poses synthetic challenges. The development of a 12-step, 1-pot cascade reaction leads to the 'centrocountins', tetrahydroindoloquinolizines that modulate mitosis by targeting the centrosome-associated proteins nucleophosmin and Crm1.

In this work, fragments identified by 19F-NMR are optimized into submicromolar binders of the MITF transcription factor. These results support direct targeting of bHLH-LZ DNA binding domains and provide a foundation for the development of new melanoma therapies.

CellSAM uses an object detector, CellFinder, to detect cells and prompt the Segment Anything Model (SAM) to generate segmentations. This universal model achieves human-level performance across a range of bioimaging data encompassing mammalian cells, yeast and bacteria.

Efficient lead optimization in drug discovery requires improving potency, synthetic accessibility, and physicochemical properties. Here, the authors utilize machine learning to screen large chemical spaces, demonstrating automated selection of optimized molecules to improve cycle times.

MultiCell is a deep learning method to capture complex cell dynamics during multicellular development.

Blood phosphorylated (p)-tau 181 and p-tau 217 have been proposed as accurate biomarkers of Alzheimer’s disease pathology. Here, the authors find p-tau 181 and 217 are elevated in serum and muscle of patients with amyotrophic lateral sclerosis.

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.

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.

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.

Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder.

Targeting two distinct steps of the transcription process yields synergistic antibiotics that kill non-replicating Mycobacterium tuberculosis and reduce drug resistance.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

Exome sequencing within a structured diagnostic process for rare diseases in Germany shows how facial image analysis and machine learning can guide variant prioritization and uncover many ultrarare diseases.

Tsering et al. show that in pants, HSP90 acts as a positive regulator of auxin transport by providing steady-state levels of ABCB transport capacity in an action that isorchestrated by its co-chaperone FKBP42/TWISTED DWARF1.

During filamentous growth in the human fungal pathogen Candida albicans, a reduction in ribosome concentration leads to a decrease in macromolecular crowding. Inhibition of ribosome biogenesis can trigger filamentous growth in this pathogen.

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 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.

Reduced placental angiogenesis is suspected to cause preeclampsia. Using placental in vitro models and an in vivo model, the authors uncover the key role of an amino acid transporter and related molecular interactions that together induce an anti-angiogenic state, as observed in preeclampsia.

Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

Cibisatamab is a T-cell bispecific antibody targeting the carcinoembryonic antigen (CEA) on tumor cells and CD3 epsilon chain on T cells. Here the authors report the results of two clinical trials of cibisatamab as monotherapy (NCT02324257) and in combination with atezolizumab (anti-PD-L1; NCT02650713) in patients with CEA-positive solid tumors.

The molecular mechanisms underlying drug resistance in relapsed or refractory (rr) acute myeloid leukemia (AML) remain to be explored. Here, the use of bulk and single cell multi-omics and ex vivo drug profiling for 21 rrAML patients reveals mechanisms of resistance to the Bcl-2 inhibitor venetoclax and treatment vulnerabilities.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.