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The mathematical conditions for the best thermoelectric is well known but never realised in real materials. Here, the authors propose the Anderson transition in a narrow impurity band as a physical realisation of this seemingly unrealisable scenario.

Here the authors develop a novel statistical method for quantifying mutation burden from whole genome sequencing data and use it to discover the genetic, genomic, and phenotypic correlates of clonal hematopoiesis without known driver genetic lesions.

A counter-intuitive state—known as a topological Anderson insulator—in which strong disorder leads to the formation of topologically protected rather than trivial states is realized in a photonic system.

This review gives an overview of natural killer (NK) cell-based immunotherapies. The authors describe the various engineering strategies used to increase NK cell cytotoxicity and persistence, as well as the current challenges and opportunities for the future design of next-generation NK cell therapies.

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.

GTPase-activating proteins (GAPs) often contain regulatory PH domains. In this work, Soubias et al, using an integrated structure-function approach, discovered a mechanism where a GAP PH domain binds directly to a GTPase to induce allosteric changes facilitating GTP hydrolysis.

Anderson localization, a strong localization effect that prevents wave diffusion, is fundamentally important in manipulating wave propagation in a disordered medium. This work uses a phase separated glass Anderson localization optical fiber and demonstrates quantum light transport, which shows the potential for transmission of high dimensional quantum information, thereby enabling quantum imaging and quantum communication applications.

In vivo loss-of-function CRISPR screens were performed to identify genes influencing CAR T cell persistence and function in human multiple myeloma, highlighting CDKN1B as a promising target.

The transcription factor CREM is a pivotal regulator of NK cell function, making CREM a valuable target to increase the efficacy of anticancer immunotherapies based on this cell population and chimeric antigen receptors.

Glioblastoma—the deadliest form of brain cancer—alters the calvarial bone and its marrow components, pushing it toward producing more myeloid cells and contributing to an immunosuppressive environment.

In the randomized phase 1b/2 Morpheus-Melanoma trial evaluating various neoadjuvant immune checkpoint inhibitor regimens in patients with resectable stage III melanoma, tobemstomig, an anti-PD-1/anti-LAG-3 bispecific antibody, showed the highest pathologic response rate with a better safety profile than the standard treatment approach of ipilimumab plus nivolumab.

One-dimensional molecular arrays on graphene field-effect transistors can be reversibly switched between different periodic charge states by tuning the graphene Fermi level via a back-gate electrode and by manipulating individual molecules, allowing them to function as a nanoscale shift register.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Spatially resolved transcriptomic profiling of primary tumours and metastases from patients with pancreatic cancer provides insight into the evolutionary progression to metastasis, and the variation in clonal architecture within and between individuals.

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.

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.

The signature of short range resonating valence bonds (RVB) to understand quantum spin liquids is yet to be explored. Here, Liet al. observe the putative RVB correlations restricted to nearest neighbours in YbMgGaO₄, responsible for the high-energy spin excitations.

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.

Meta-omic analyses are commonly used for large-scale studies of microbial eukaryotes. Here, Krinos et al. explore the potential pitfalls of common approaches to taxonomic annotation of protistan meta-omic datasets, highlighting the importance of database completeness and curation and proposing that precise taxonomic annotation of meta-omic data is a clustering problem rather than a feasible alignment problem.

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.

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.

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.

Serological profiles from two observational cohort studies in The Gambia characterize surrogates of protection against Streptococcus pyogenes and reveal an antibody response against antigens that are currently in vaccine development.

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.

Al-Hilal, Chrysovergi et al. identify a role for durotaxis in lung fibrosis and metastatic pancreatic cancer, mediated by the FAK–paxillin mechanosensor complex, and demonstrate therapeutic targeting of this pathway using the small molecule JP-153.

In this Consensus Statement, a consortium of microbiome scientists discuss current sequencing data sharing policies and propose the use of a Data Reuse Information (DRI) tag to promote equitable and collaborative data sharing.

Light in disordered media may defy conventional localization due to hidden topological features. Drawing on an unexpected link to spin-1 Weyl semimetals, the authors reveal how weak disorder and helicity dynamics can unlock exotic optical phases and transparency anomalies.

Cell migration in confined environments is initiated by a cytoplasmic pool of anillin and Ect2 that promotes RhoA/myosin II-mediated activation at the poles of migrating cells, in a process dependent on the extracellular environment stiffness.