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Tumor-associated macrophages play central roles in the cellular immune response in the tumor microenvironment. Here the authors implicate the m6A methyltransferase METTL3 in glioma progression by regulation of the ISG15/FASN modulated lipid metabolism in macrophage.

Solving ordinary differential equations (ODE) on the von Neumann architecture normally demands a large amount of computational resources. Yu et al. build ODE solver hardware using a computing-in-memory-based implementation, showing orders of magnitude improvement in energy consumption and speedup.

This study introduces a flexible, wearable system using a liquid metal dynamic wetting strategy to capture palm and finger movements in real time with high precision, showing potential for applications in XR, teleoperation, and robotics.

Multi-template PCR enables parallel DNA amplification but suffers from sequence-specific biases. Here, the authors develop a 1D-CNN model predicting amplification efficiency directly from the DNA sequence and discover adapter-mediated self-priming as a key cause of uneven amplification during PCR.

It is challenging to design thermally regulating windows to reduce building energy consumption. Here the authors designed a thermoresponsive hydrogel-based window balancing mechanical, optical, and thermal properties.

Pretrained using 335,645 whole-slide images, a foundation model is developed to provide representations for slide- and patient-level tasks. It is capable of performing clinical tasks and generating reports even in data-scarce scenarios, such as rare cancer diagnosis and survival prediction, without requiring further fine-tuning.

Biotic-abiotic hybrid systems are promising for solar-to-chemical conversion, but it remains challenging to achieve atomically precise interface contact. Here, the authors report a general strategy of facilitating direct electron uptake via building single-atom bridges across biotic-abiotic interfaces to enhance solar-driven hydrogen production.

This paper proposes a knowledge-guided self-learning mixed platoon control strategy for the coexistence of autonomous and traditional vehicles. The framework provides a generalizable and scalable solution for the development and adoption of connected autonomous vehicle systems.

A light-inducible RNA base editor fine-tunes gene expression for therapeutics.

Integrated scanning probe techniques in combination with first-principles theory unveil the crystallization of electron polarons into quasi-one-dimensional polaron superlattices in individual polypentacene molecules.

RNA modifications appear to play a role in determining RNA structure and function. Here, the authors develop a deep learning model that predicts the location of 12 RNA modifications using primary sequence, and show that several modifications are associated, which suggests dependencies between them.

A two-phase assembly approach is developed to synthesize single-unit-cell-thick perovskite chains within single-walled carbon nanotubes. A direct X-ray detector constructed with the confined perovskite chains exhibits outstanding performance and ultrahigh stability under harsh conditions.

The activation of pancreatic stellate cells (PSCs) was found to promote the progression of Pancreatic ductal adenocarcinoma (PDAC) via metabolic crosstalk. Here, this group designs a liposome nanosystem encapsulating NF-κB inhibitor (TPCA-1) and CD71 aptamerlinked glucose transporter 1 (GLUT1) siRNA to dual rectify the metabolism abnormalities of PDAC cells and reverses the activated PSC to quiescence.

Single-cell RNA-seq analysis is conventionally limited to gene-level quantification, missing transcript diversity. Here, authors present DOLPHIN, a deep learning method that enables exon- and junction-level analysis to improve cell representation and detect alternative splicing.

Cancer stem cells (CSC) are often responsible for tumor progression and metastasis and can overexpress aldehyde dehydrogenases (ALDHs). Here, the authors develop a self-assembled nanoprodrug (PS-CHO@ATRA-SS-ATRA) composed of ALDH-activatable photosensitizer (PS-CHO) and disulfide-linked all-trans retinoic acid (ATRA-SS-ATRA) for diagnosis and targeted treatment of CSC-enriched tumors.

Photocatalytic oxidation of methane through oxidative coupling presents a route to higher hydrocarbons but has suffered from low activity and uncontrolled product selectivity. Now, Au nanoparticles loaded onto a ZnO/TiO₂ heterostructure are shown to deliver high rate production of ethane.

The m6A reader IGF2BP3 is upregulated in various cancer, including glioblastoma. Here the authors report that IGF2BP3 facilitates NETosis and glioma survival as well as resistance to oncolytic herpes simplex virotherapy.

A miniaturized and low-power-consumption system is designed to allow the accurate sensing and wireless transmission of internal temperature and strain signals inside lithium-ion batteries with negligible influence on their performance, improving their safety.

Quiescence is required to maintain the neural stem cell pool to support life-long continuous adult neurogenesis in the hippocampus. Here the authors reveal an epigenetic mechanism sustaining neural stem cell quiescence in the adult mouse hippocampus.

With the wide adoption of ultrasound methods in biomedical and technological diagnostics, sensitive probes are in demand. Here, the authors employ cavity optomechanics where optical and mechanical resonances are coupled, both enhancing the sensitivity of the device and allowing its chip-integration.

The author report a Ru NPs/GaN NWs nanoarchitecture on Si for utilizing full spectrum to drive efficient and robust photothermal H₂ production from NH₃ with a high turnover number of >3,400,750 over 400 h.

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.

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.

Large genome-wide meta-analysis of clinically diagnosed late-onset Alzheimer’s disease (LOAD) from 94,437 individuals identifies new LOAD risk loci and implicates Aβ formation, tau protein binding, immune response and lipid metabolism.

Developed using diverse sources of histopathology images, biomedical text and over 1.17 million image–caption pairs, evaluated on a suite of 14 diverse benchmarks, a visual-language foundation model achieves state-of-the-art performance on a wide array of clinically relevant pathology tasks.

Conventional photodynamic therapy (PDT) is hindered by oxygen-dependent photosensitization pathways and high-power-density photoexcitation. Here, the authors develop polymer-based organic photosensitizers (PSs) through PS skeleton design and side-chain engineering to allow tumor-specific PDT under oxygen-free conditions using ultralow-power 808 nm photoexcitation.

A survey of SARS-CoV-2 RBD antibodies identifies those with activity against diverse SARS-CoV-2 variants and SARS-related coronaviruses, highlighting epitopes and features to prioritize in antibody and vaccine development.

Assessing microbial water quality is an important approach to monitor potential risks to human and environmental health. The use of two human faecal bacteria as molecular indicators is shown to be more sensitive than conventional measures for detecting contamination on an extensive set of data.

Vacuum-driven nanofiltration (NF) is a promising and low-cost alternative to pressure driven NF but existing commercial membranes currently not achieve any relevant water flux in such a system. Here, the authors fabricate a silk-based membrane with a crumpled and defect-free rejection layer, showing high flux and salt rejection rate under cross-flow filtration mode.

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.

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.

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.

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.