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The mortality rate of ovarian cancer remains disproportionately high compared with its incidence. This is partly due to a high level of intratumoral heterogeneity, driven by genomic instability, that promotes disease recurrence and treatment failure. …
Read PDFIn this work, a food-compatible bioprocess was evaluated for the production of yeast single-cell protein from mezcal agave bagasse. Bagasse was enzymatically hydrolyzed at 10% (<i>w</i>/<i>v</i>) solids (pH 4.8, 50 °C, 24 h) using commercial …
Read PDFIn single-cell experiments spanning diverse conditions, distinguishing variation specific to one condition (e.g., treatment) from shared or background variation (e.g., control) is critical for uncovering treatment-specific molecular responses. However, these studies typically yield ultra-high-dimensional data, …
Read PDFA clear mechanistic understanding of the skeletal system's physiological and pathological processes is essential for therapeutic research. Traditional bulk analysis methods cannot resolve cellular heterogeneity and dynamic intercellular signaling in bone microenvironments, limiting insights into …
Read PDF<h4>Background</h4>Breast cancer is a molecularly heterogeneous disease composed of multiple intrinsic subtypes. Recent studies have highlighted the substantial intratumor heterogeneity of breast cancer, wherein malignant cells of distinct intrinsic subtypes co-exist within the same tumor. …
Read PDFSex is one of the most fundamental biological variables, with a profound impact on tumor incidence, mortality, treatment response and prognosis, making it a critical consideration for precision oncology. Despite its well-established role in tumors, …
Read PDF<h4>Introduction</h4>Atherosclerosis, a chronic inflammatory arterial disease, involves complex interactions among diverse immune cells. Although single-cell RNA sequencing (scRNA-seq) has revealed cellular heterogeneity within atherosclerotic lesions, the diversity of neutrophils and their crucial genes in atherogenesis …
Read PDFCell-surface glycoRNA plays a crucial role in cellular behavior, yet its RNA substrate signatures and membrane transport mechanism remain unclear. Here, we developed GlycoRNA-Lighted In situ Nano-Tracking (GLINT), an approach for the visualization of distinct …
Read PDFIntegrating single-cell omics data at an atlas scale enhances our understanding of cell types and disease mechanisms. However, the integration of data processed by different normalization methods can lead to biases, such as unexpected batch …
Read PDF<b>Background</b>: Virtual cells are embedded in widely used single-cell generative models. Nonetheless, the models' implicit knowledge of perturbations remains unclear. <b>Methods</b>: We train variational autoencoders on three gene expression datasets spanning genetic, chemical, and temporal …
Read PDFSkeletal muscle satellite cells (SMSCs) are essential for embryonic myogenesis and postnatal muscle regeneration; however, their cellular heterogeneity and transcriptional dynamics during avian development remain largely unexplored. Here, we performed single-cell RNA sequencing (scRNA-seq) on …
Read PDF<h4>Aims</h4>To identify and verify new drug targets for focal epilepsy.<h4>Methods</h4>We combined single-cell expression data from GSE190452, with genetic data from the eQTLGen alliance and utilized expression-associated single nucleotide polymorphism as an instrumental variable in Mendelian …
Read PDFIn this study, we developed an integrated single-cell transcriptomic (scRNAseq) atlas of human breast cancer (BC), the largest resource of its kind, totaling >600 000 cells across 138 patients. Rigorous integration and annotation of publicly …
Read PDF<h4>Background</h4>Genomic alterations are a hallmark of cancer, and extrachromosomal DNA (ecDNA) has emerged as a key source of oncogene selection, tumor growth, and drug resistance. The intratumor heterogeneity and clonal selection of ecDNA is, however, …
Read PDF<h4>Background</h4>Advancements in spatially resolved single-cell technologies are transforming our understanding of tissue architecture and disease microenvironments. However, analyzing the resulting high-dimensional, gigabyte-scale datasets remains challenging due to fragmented workflows, intensive computational requirements, and a lack …
Read PDFBACKGROUND: Gastric intestinal metaplasia (GIM) is a precancerous lesion closely associated with gastric cancer (GC) risk. A systematic characterization of the molecular profiles across distinct cell types during GIM progression is crucial for devising new …
Read PDFThe exponential growth of single-cell transcriptomics datasets has made it essential to integrate heterogeneous datasets for constructing large-scale single-cell reference atlases and mapping query datasets onto these references. However, this integration process is significantly hampered …
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