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BindCraft, an open-source, automated pipeline for de novo protein binder design with experimental success rates of 10–100%, leverages AlphaFold2 weights to generate binders with nanomolar affinity without the need for high-throughput screening.

A design pipeline is presented whereby binding proteins can be designed de novo without the need for prior information on binding hotspots or fragments from structures of complexes with binding partners.

Chronic inflammation often involves reactivation of memory adaptive immune. Here the authors show, using non-human primate models, that a single dose of anti-IL-7 receptor monoclonal antibody that exhibits antagonist but not agonist properties can reduce the frequency of antigen-specific T cell to help repress chronic skin inflammation.

Here, authors provide a molecular view of a clustered saccharide patch on mucins as recognized by a bacterial binding module. This work provides insights into how microbes can remain attached to mucins in the mucus while grazing on their glycans.

Carbon capture technologies are poised to play an important role in reducing CO₂ emissions to mitigate global warming, but their cost prevents their extensive use. Now, CO₂ capture and utilization have been combined using a triple-level dynamic combinatorial approach. CO₂ was spontaneously captured by industrial polyamines to create libraries of ligands that can be used for the separation and recovery of metals.

Here, Rouet et al. present a strategy for the identification of broadly neutralising antibodies against SARS-CoV-2 receptor binding domain from peripheral blood mononuclear cells of convalescent patients, which enabled the identification of a new class 6 epitope.

A massively parallel computational and experimental approach for de novo designing and screening small hyperstable proteins targeting influenza haemagglutinin and botulinum neurotoxin B identifies new therapeutic candidates more robust than traditional antibody therapies.

While water electrolysis offers a renewable way to produce hydrogen, there are few Earth-abundant, acid-stable water oxidation catalysts. Here, authors show Co₃O₄, when protected by a partially hydrophobic environment, to sustain 40 h activity without structural or chemical transformations.

Understanding the mechanisms of chemoresistance in multiple myeloma (MM) remains elusive. Here, the authors identify a long non-coding RNA termed as PLUM that is overexpressed in NF-ĸB mutant high-risk MM and interacts with EZH2 to mediate PRC2 complex formation promoting chemoresistance via the activation of the UPR pathway.

A method to target trimeric membrane proteins by designing geometrically matched trimeric protein binders is demonstrated for the influenza-virus glycoprotein hemagglutinin.

The identification of HLA peptides by mass spectrometry is non-trivial. Here, the authors extended and used the wealth of data from the ProteomeTools project to improve the prediction of non-tryptic peptides using deep learning, and show their approach enables a variety of immunological discoveries.

Here, using ribosomal profiling, the authors characterize the translatome of HIV-1 revealing tens of alternative open reading frames (ARF) that encode conserved viral antigens and show that ARF-derived peptides elicit potent HIV-specific poly-functional immune responses mediated by both CD4⁺ and CD8⁺ T cells.

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.

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.

Hyperphosphataemia is associated with poor clinical outcomes but strong evidence that targeting serum phosphate improves these outcomes is lacking. Here the authors discuss the role, regulation and management of serum phosphate in chronic kidney disease, including the efficacies of phosphate binder therapy and dietary interventions.

Here, the authors introduce Martini3-IDP, a refined model for disordered proteins that addresses prior over-compact structures. Validated across diverse systems, it captures IDP interactions and biomolecular condensates.

VVD-133214, a clinical-stage, covalent allosteric inhibitor of the helicase WRN, was well tolerated in mice and led to robust tumour regression in multiple microsatellite-instability-high colorectal cancer cell lines and patient-derived xenograft models.

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.

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.

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.

A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent risk loci. Comparisons with other psychiatric disorders and candidate gene analyses provide new insights into major depressive disorder.

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.

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.

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.

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

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.

DNA methylation quantitative trait locus (mQTL) analyses on 32,851 participants identify genetic variants associated with DNA methylation at 420,509 sites in blood, resulting in a database of >270,000 independent mQTLs.

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.

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 defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

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.

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.

Environmental influences during prenatal development may have implications for health and disease later in life. Here, Czamara et al. assess DNA methylation in cord blood from new-born under various models including environmental and genetic effects individually and their additive or interaction effects.

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.

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.

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.

In a GWAS study of 32,438 adults, the authors discovered five novel loci for intracranial volume and confirmed two known signals. Variants for intracranial volume were also related to childhood and adult cognitive function and to Parkinson's disease, and enriched near genes involved in growth pathways, including PI3K-AKT signaling.

This protocol describes a microfluidic platform for dynamic high-throughput analysis of the phenotypes of single cells. Cell-surface markers and secreted proteins are quantified and characterized by fluorescence detection using tailored immunoassays.

The flow of ice streams leaves traces in the stratigraphy of the ice sheets. Made visible by radar, they reveal the history of the upper North East Greenland Ice Stream. The ice stream is found to have existed in its current form for only about the last 2000 years.

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.

Depression is correlated with many brain-related traits. Here, Shen et al. perform phenome-wide association studies of a depression polygenic risk score (PRS) and find associations with 51 behavioural and 26 neuroimaging traits which are further followed up on using Mendelian randomization and mediation analyses.

The ascomycete Cenococcum geophilum is a beneficial mycorrhizal symbiont found frequently on tree roots. Here the authors use comparative genomics and transcriptomics to define genomic signatures that differentiate the beneficial C. geophilumfrom its saprotrophic and pathogenic relatives.

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.

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