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Traditional bulk RNA sequencing often masks cell-to-cell variability, leading to a loss of individual heterogeneity information. Single-cell RNA sequencing (scRNA-seq) preserves cellular heterogeneity by reverse-transcribing, amplifying, as well as sequencing mRNA molecules from individual cells, …
Read PDFCell viability assays are essential tools in biomedical research and drug development. Artificial intelligence (AI) offers the potential to simplify these assays by predicting cell viability directly from brightfield microscopy images, but current models lack …
Read PDFEarly and accurate detection of diseases is of great significance for enhancing treatment outcomes and improving patient prognosis. The emergence of single-cell sequencing technology has brought new opportunities for this. This technology breaks through the …
Read PDFBACKGROUND: Intrauterine adhesion (IUA) is prevalent in women of childbearing age and can affect pregnancy outcomes or even lead to infertility. Currently, there is no effective clinical cure. METHODS: We profiled more than 100, 000 …
Read PDF<h4>Background</h4>Chronic obstructive pulmonary disease (COPD) and osteoporosis are common comorbid conditions, both of which impose a significant health burden. This research employs single-cell data and Mendelian randomization analysis to pinpoint genes associated with both conditions …
Read PDFPeriodontitis is one of the most common oral inflammatory diseases. Baiyaojian decoction, known for its prominent immunomodulatory and anti-inflammatory properties, shows significant potential in treating periodontitis, though its molecular mechanisms remain unknown. The active ingredients …
Read PDFSingle-cell profiling of histone post-translational modifications (scHPTMs) offers a powerful lens for dissecting epigenetic regulation and cellular identity, yet low read depth and inherent noise in these datasets pose significant analytical challenges. Here, we introduce …
Read PDFSingle-cell multimodal assays measure multiple layers of molecular information. Existing single-cell tools have limited capability to analyze nuclear proteins and genomic DNA from the same originating single cell. To address this gap, we designed and …
Read PDFHulunbuir short-tailed sheep (HSTS) and Hu sheep (HS) exhibit distinct tail phenotypes linked to ecological adaptation, with HSTS carrying a loss-of-function mutation (c.G334T) in the <i>T</i> gene while HS retain the wild-type allele. However, the …
Read PDFFate-mapping studies have challenged the longstanding view of the adult mammalian heart as a post-mitotic organ, suggesting limited cardiomyocyte renewal. This has spurred efforts to determine whether selected cardiac stromal cells have regenerative potential; however, …
Read PDF<h4>Background</h4>The rice node is a critical hub for the distribution of mineral nutrients, mediated by transporters. Manganese (Mn) is an essential micronutrient for plant growth. However, the precise cell types and the cell-type-enriched transporter genes …
Read PDF<h4>Key message</h4>CRaman imaging combined with a multi-layer perceptron neural network enables non-destructive, label-freeclassifi cation of tobacco BY-2 cells based on carotenoid composition. Carotenoids are natural tetraterpenoid pigments with important nutritional properties and broad industrial applications. …
Read PDFSpermatogenesis is a highly orchestrated germ cell differentiation process involving the dynamic regulation of cell fate transitions. Dissecting the molecular landscapes of spermatogenic cell types is crucial for identifying fertility-related problems and improving the reproductive …
Read PDFUnderstanding the mechanisms that drive chimeric antigen receptor (CAR) T-cell function and persistence in multiple myeloma (MM) remains a critical challenge for improving therapeutic outcomes. In this study, we applied single-cell multiomics and gene regulatory …
Read PDFAccording to the 2024 World Health Organization (WHO)Global Tuberculosis (TB)Report, tuberculosis remains the leading cause of death from a single infectious agent, with 10.8 million new cases and 1.25 million deaths in 2023. Early and …
Read PDFAccurately annotating cell types is essential for extracting biological insight from single-cell RNA sequencing data. Although cell types are naturally organized into hierarchical ontologies, most computational models do not explicitly incorporate this structure into their …
Read PDFIdentifying cancer driver genes (CDGs) remains a central challenge in cancer genomics, as frequency-based mutation approaches often miss rare but functionally important regulators. We present PICDGI, a computational framework that predicts driver-like regulatory genes by …
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