UDA-seq: universal droplet microfluidics-based combinatorial indexing for massive-scale multimodal single-cell sequencing.

The use of single-cell combinatorial indexing sequencing via droplet microfluidics presents an attractive approach for balancing cost, scalability, robustness and accessibility. However, existing methods often require tailored protocols for individual modalities, limiting their automation potential and clinical applicability. To address this, we introduce UDA-seq, a universal workflow that integrates a post-indexing step to enhance throughput and systematically adapt existing droplet-based single-cell multimodal methods.

An organic electrochemical neuron for a neuromorphic perception system.

Human perception systems are highly refined, relying on an adaptive, plastic, and event-driven network of sensory neurons. Drawing inspiration from Nature, neuromorphic perception systems hold tremendous potential for efficient multisensory signal processing in the physical world; however, the development of an efficient artificial neuron with a widely calibratable spiking range and reduced footprint remains challenging. Here, we report an efficient organic electrochemical neuron (OECN) with reduced footprint (<37 mm) based on high-performance vertical OECT (vOECT) complementary circuitry enabled by an advanced n-type polymer for balanced p-/n-type vOECT performance.

Analysis of nuclear receptor expression in head and neck cancer.

Objective: Studies of squamous cell carcinoma of the head and neck (HNSCC) have demonstrated the importance of nuclear receptors and their associated coregulators in the development and treatment of HNSCC. We sought to characterize members of the nuclear receptor super family through interrogation of RNA-Seq and microarray data.

Materials And Methods: TCGA RNA-Seq data within the cBioportal platform comparing HNSCC samples (n = 515 patients with RNA-Seq data) to normal tissue (n = 82 patients) was interrogated for significant differences in nuclear receptor expression.

Refining breast cancer genetic risk and biology through multi-ancestry fine-mapping analyses of 192 risk regions.

Genome-wide association studies have identified approximately 200 genetic risk loci for breast cancer, but the causal variants and target genes are mostly unknown. We sought to fine-map all known breast cancer risk loci using genome-wide association study data from 172,737 female breast cancer cases and 242,009 controls of African, Asian and European ancestry. We identified 332 independent association signals for breast cancer risk, including 131 signals not reported previously, and for 50 of them, we narrowed the credible causal variants down to a single variant.

R(3780) Resonance Interpreted as the 1^{3}D_{1}-Wave Dominant State of Charmonium from Precise Measurements of the Cross Section of e^{+}e^{-}→Hadrons.

We report the precise measurements of the cross section of e^{+}e^{-}→hadrons at center-of-mass energies from 3.645 to 3.871 GeV.

as a prognostic biomarker and potential therapeutic target in kidney renal clear cell carcinoma.

Background: Progestin And AdipoQ Receptor Family Member VI () plays a significant role in the non-genomic effects of rapid steroid responses and is abnormally expressed in various tumors. However, its biological function in kidney renal clear cell carcinoma (KIRC) and its potential as a therapeutic target remain underexplored.

Methods: In this study, was identified as a critical oncogene by WGCNA algorithm and differential gene expression analysis using TCGA - KIRC and GSE15641 data.

Macrophage Notch1 signaling modulates regulatory T cells via the TGFB axis in early MASLD.

Background & Aims: Hepatic immune imbalance is crucial for driving metabolic dysfunction-associated steatotic liver disease (MASLD) progression. However, the role of hepatic regulatory T cells (Tregs) in MASLD initiation and the mechanisms responsible for their change are not completely understood.

Methods: A mouse model subjected to a short-term high-fat diet (HFD) to mimic early steatosis, along with liver biopsy samples from patients with simple steatosis, and macrophage-specific Notch1-knockout mice (Notch1), were used to investigate the role of Tregs in early MASLD and the effect of hepatic macrophage Notch1 signaling on Treg frequency.

Machine learning-assisted implantable plant electrophysiology microneedle sensor for plant stress monitoring.

Plant electrical signals serve as a medium for long-distance signal transmission and are intricately linked to plant stress responses. High-fidelity acquisition and analysis of plant electrophysiological signals contribute to early stress identification, thereby enhancing agricultural production efficiency. While traditional plant electrophysiology monitoring methods like gel electrodes can capture electrical signals on plant surfaces, which face limitations due to the plant cuticle barrier, impacting signal accuracy.

PB2 627V and HA 217 sites synergistically affect the lethality of H9N2 in mice.

The H9N2 subtype avian influenza virus (AIV) continues to propagate and undergo evolution within China, thereby posing a significant threat to the poultry industry. This study encompassed the collection of 436 samples and swabs in East China over the period spanning 2018 to 2019, from which 31 strains of the H9N2 subtype viruses were isolated and purified. We revealed that the HA and NA genes of the 31 isolates categorized within the Y280 branch, while the PB2 and M genes were associated with the G1 branch, and the remaining genes aligned with the F/98 branch.

Graphitic Carbon Nitride Confers Bacterial Tolerance to Antibiotics in Wastewater Relating to ATP Depletion.

Graphitic carbon nitride (CN) is a kind of visible light-responsive photocatalyst that has been of great interest in wastewater treatment. However, its environmental impact and biological effect remains to be elucidated. This study investigated the effect of CN nanosheets on bacterial abundance and antibiotic tolerance in wastewater.

Identification of suitable vegetation restoration areas and carrying capacity thresholds on the Loess Plateau.

The Loess Plateau is one of the most ecologically fragile areas in the world. It has long faced the twin dilemmas of ecological degradation and water resource shortage. In recent decades, large-scale vegetation restoration projects have been carried out on the Loess Plateau with the aim of improving the ecological environment.

Integrating data mining and network pharmacology for traditional Chinese medicine for drug discovery of diabetic peripheral neuropathy.

The purpose of this study was to examine the therapeutic potential of core traditional Chinese medicine (CTCM) in the treatment of diabetic peripheral neuropathy (DPN) through the use of a data-driven approach that combined network pharmacology and data mining. Important components of traditional Chinese medicine (TCM) and the targets that correspond with them were found through the examination of numerous databases and clinical prescriptions. The possible therapeutic pathways were investigated, with an emphasis on the AGE-RAGE pathway that was discovered via network pharmacology analysis.

Gain of bipolar disorder-related lncRNA AP1AR-DT in mice induces depressive and anxiety-like behaviors by reducing Negr1-mediated excitatory synaptic transmission.

Background: Bipolar disorder is a complex polygenic disorder that is characterized by recurrent episodes of depression and mania, the heterogeneity of which is likely complicated by epigenetic modifications that remain to be elucidated.

Methods: We performed transcriptomic analysis of peripheral blood RNA from monozygotic (MZ) twins discordant for bipolar disorder to identify disease-associated differentially expressed long noncoding RNAs (DE-lncRNAs), which were further validated in the PsychENCODE brain RNA-seq dataset. We then performed behavioral tests, electrophysiological assays, chromatin immunoprecipitation, and PCR to investigate the function of DE-lncRNAs in the mouse and cell models.

Elevated circulating levels of GFAP associated with reduced volumes in hippocampal subregions linked to mild cognitive impairment among community-dwelling elderly individuals.

Objective: Cerebrospinal fluid biomarkers are challenging to use for diagnosing mild cognitive impairment (MCI) in large populations, and there is an urgent need for new blood biomarkers. The aim of this study is to investigate whether astrocyte activation is correlated with hippocampal atrophy, and to assess the potential of glial fibrillary acidic protein (GFAP) as a biomarker for diagnosing MCI among community-dwelling older individuals.

Methods: This cross-sectional study included 107 older adults.

Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.

Transcriptome-wide association studies (TWAS) have been successful in identifying disease susceptibility genes by integrating cis-variants predicted gene expression with genome-wide association studies (GWAS) data. However, trans-variants for predicting gene expression remain largely unexplored. Here, we introduce transTF-TWAS, which incorporates transcription factor (TF)-linked trans-variants to enhance model building for TF downstream target genes.

Landscape of structural variants reveals insights for local adaptations in the Asian corn borer.

Capturing the genetic diversity of different wild populations is crucial for unraveling the mechanisms of adaptation and establishing links between genome evolution and local adaptation. The Asian corn borer (ACB) moth has undergone natural selection during its adaptative evolution. However, structural variants (SVs), which play significant roles in these adaptation processes, have not been previously identified.

Influenza A virus-induced glycolysis facilitates virus replication by activating ROS/HIF-1α pathway.

As a highly contagious acute respiratory disease, influenza A virus (A/WSN/1933) poses a huge threat to human health and public health. influenza A virus proliferation relies on glucose metabolism in host cells, yet the effects of influenza A virus on glucose metabolism and the underlying molecular mechanisms remain unclear. Here, we created models of WSN virus-infected mice and A549 cells, along with analyzing metabolomics and transcriptomics data, to investigate how WSN virus infection affects host cell glucose metabolism and specific mechanisms.

Non-destructive determination of ginsenosides in ginseng by combined hyperspectral and X-ray techniques based on ensemble learning.

The potential of hyperspectral imaging and X-ray techniques for the non-destructive determination of the ginsenosides Rg1 + Re and Rb1 in ginseng was investigated. The random forest (RF) models were established using spectral information extracted from hyperspectral data to predict ginsenosides content. The RF model was optimized by data pre-processing methods and feature screening methods.

A proteome-wide association study identifies putative causal proteins for breast cancer risk.

Background: Genome-wide association studies (GWAS) have identified more than 200 breast cancer risk-associated genetic loci, yet the causal genes and biological mechanisms for most loci remain elusive. Proteins, as final gene products, are pivotal in cellular function. In this study, we conducted a proteome-wide association study (PWAS) to identify proteins in breast tissue related to breast cancer risk.

[Retracted] Molecular mechanism of atractylon in the invasion and migration of hepatic cancer cells based on high‑throughput sequencing.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that certain of the  Transwell invasion assay data shown in Fig. 5E on p. 9 were strikingly similar to data that had already been published in different form in another article written by different authors at a different research institute [Zuo K, Zhao Y, Zheng Y, Chen D, Liu X, Du S and Liu Q: Long non‑coding RNA XIST promotes malignant behavior of epithelial ovarian cancer.

Impact of urban-rural resident basic medical insurance on consumption quality of middle-aged and older adult residents: evidence from rural China.

In the context of the Chinese government's advocacy for "Internal Circulation", ongoing reforms in medical insurance policies raise critical questions about whether the basic medical insurance system can stimulate resident consumption and enhance its quality. Based on five waves of panel data from the China Health and Retirement Longitudinal Survey (CHARLS), this paper analyzes the impact of medical insurance on the consumption scale and structure of middle-aged and older adult rural residents by using the time-varying difference-in-differences (time-varying DID) method. The findings indicate that the Urban-Rural Resident Basic Medical Insurance (URRBMI) effectively stimulates the consumption scale of rural middle-aged and older adult individuals, particularly enhancing non-food consumption, development-oriented spending, and hedonic consumption.