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Single-cell transcriptome analysis profiles cellular dynamics and transcriptional changes in diabetic wound tissues following ESWT treatment.
INTRODUCTION: Diabetic wounds (DWs) remain a major complication of diabetes mellitus, characterized by impaired healing and limited therapeutic options. Extracorporeal shock wave therapy (ESWT), a non-invasive physical modality, has recently shown promise in accelerating chronic wound repair, yet the underlying cellular mechanisms remain poorly understood. METHODS: Here, we employed single-cell RNA sequencing (scRNA-seq) to construct a comprehensive cellular atlas of DW tissues treated with ESWT, profiling approximately 39,475 cells. RESULTS: Our analysis identified 12 major cell populations, including macrophages, fibroblasts, endothelial cells, keratinocytes, and immune subsets, and revealed widespread transcriptional reprogramming associated with ESWT treatment. ESWT promoted the expansion of reparative macrophages, activated proregenerative fibroblast states, and restored angiogenic programs in endothelial cells. Moreover, cell-cell communication analysis revealed that ESWT not only attenuates pro-inflammatory signaling but also activates immune cell communication networks, thereby enhancing T cell, NK cell, and dendritic cell interactions. These changes collectively promote immune regulation and tissue repair, contributing to the restoration of a balanced wound microenvironment. DISCUSSION: Together, these findings provide a high-resolution single-cell map of ESWT mediated cellular and molecular alterations in DWs and uncover key cellular pathways contributing to improved tissue repair. This study offers new insights into the mechanisms of ESWT and supports its translational potential as a therapeutic strategy for chronic wound management.
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Single-Cell RNA Sequencing Reveals an Atlas of Meihua Pig Testis Cells.
Mammalian spermatogenesis is a complex biological process that is regulated by multiple types of cells. The heterogeneity of these cells poses a challenge for analyzing different cell types at different developmental stages. To characterize the transcriptomic landscape of porcine spermatogenesis and identify potential marker genes for spermatogonia, an unbiased transcriptomic study of spermatogenesis in neonatal and sexually mature six-month-old Meihua pigs was performed using 10× Genomics single-cell RNA sequencing (scRNA-seq). Through the collection of scRNA-seq data from 13,839 cells from Meihua pig testes, three germ cells (spermatogonia, spermatocytes and spermatids) and eight somatic cells (Sertoli cells, Leydig cells, myoid/stromal cells, endothelial cells, T cells/macrophages and erythroblasts) were identified. Pseudo-timing analysis showed that myoid cells and stromal cells originated from common progenitors in Meihua pigs. Functional enrichment analysis revealed that the differentially expressed genes (DEGs) in testicular somatic cells were enriched in the pathways of Ribosome, Oxidative phosphorylation, Protein processing in endoplasmic reticulum, Retrograde endocannabinoid signaling, Cellular senescence and Insulin signaling. Meanwhile, in the three different germ cells, except for pathways which were the same as the first three pathways for somatic cells, DEGs were also enriched in the Spliceosome, Cell cycle, Autophagy and Mitophagy pathways. Furthermore, the candidate marker gene TKTL1 in spermatogonia was identified using immunohistochemistry and immunofluorescence. In conclusion, we collected transcription datasets and constructed single-cell developmental maps of germ cells and somatic cells during the testicular development of Meihua pigs, which provided new insights into the spermatogenesis of Meihua pigs and the development of various types of cells in their testes.
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A single-nucleus transcriptomic characterization of EGFR G719X/S768I double-mutant lung adenocarcinoma identifies an immunosuppressive niche defined by COL4A3-CD44 interaction.
EGFR double mutations (G719X/S768I) represent a clinically recalcitrant subtype of lung adenocarcinoma (LUAD) characterized by diminished tyrosine kinase inhibitor (TKI) sensitivity. However, the specific tumor microenvironment (TME) features and intercelluar crosstalk driving this therapeutic resistance poorly defined. We performed single-nucleus RNA sequencing (snRNA-seq) on formalin-fixed paraffin-embedded (FFPE) tissues from six EGFR G719X/S768I double-mutant (EGFR_double) and five no EGFR mutation (Non_EGFR) LUAD patients. To provide a comprehensive reference, we integrated our FFPE data with publicly fresh-tissue single cell RNA sequencing (scRNA-seq) data with seven EGFR single-mutant LUAD (EGFR_single) and five adjacent normal (Adjacent), generated a comprehensive atlas of 246,086 cells. Findings were further validated using multiplex immunohistochemistry (mIHC) and pharmacogenomic profiling. We identified a specialized EMT-like malignant subpopulation (MP4) uniquely enriched in EGFR_double, which exhibits a distinct lipid-glycosylation metabolic profile that stabilizes CD44 expression. Cell-cell communication analysis revealed enhanced COL4A3-CD44 interactions between EMT-like malignant MP4 cells and metabolically reprogrammed, immunosuppressive alveolar macrophages in EGFR_double compared with Non_EGFR. MIHC confirmed in situ proximity of this significantly increased COL4A3-CD44 co-localization in EGFR_double. Furthermore, drug sensitivity analysis identified specific vulnerabilities of this subtype. Our study identifies a previously unrecognized malignant-myeloid niche and TME in EGFR_double. These findings provide a translational framework for identifying a potential novel therapeutic targets and suggest that combinatorial strategies targeting the COL4A3-CD44 interaction may overcome therapeutic recalcitrance in this challenging clinical population.
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Altered Monocyte Subsets in Kawasaki Disease Revealed by Single-cell RNA-Sequencing.
BACKGROUND: Kawasaki disease (KD) is characterized by a disorder of immune response, and its etiology remains unknown. Monocyte is an important member of the body's innate immune system; however its role in KD is still elusive due to its ambiguous heterogeneity and complex functions. We aim to comprehensively delineate monocyte heterogeneity in healthy and KD infants and to reveal the underlying mechanism for KD. METHODS: Peripheral monocytes were enriched from peripheral blood samples of two healthy infants and two KD infants. scRNA-seq was performed to acquire the transcriptomic atlas of monocytes. Bio-information analysis was utilized to identify monocyte subsets and explore their functions and differentiation states. SELL+CD14+CD16- monocytes were validated using flow cytometry. RESULTS: Three monocyte subsets were identified in healthy infants, including CD14+CD16- monocytes, CD14+CD16+ monocytes, and CD14LowCD16+ monocytes. Cell trajectory analysis revealed that the three monocyte subsets represent a linear differentiation, and possess different biological functions. Furthermore, SELL+CD14+CD16- monocytes, which were poorly differentiated and relating to neutrophil activation, were found to be expanded in KD. CONCLUSION: Our findings provide a valuable resource for deciphering the monocyte heterogeneity in healthy infants and uncover the altered monocyte subsets in KD patients, suggesting potential biomarkers for KD diagnosis and treatment.
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Mouse Retinal Cell Atlas: Molecular Identification of over Sixty Amacrine Cell Types.
Amacrine cells (ACs) are a diverse class of interneurons that modulate input from photoreceptors to retinal ganglion cells (RGCs), rendering each RGC type selectively sensitive to particular visual features, which are then relayed to the brain. While many AC types have been identified morphologically and physiologically, they have not been comprehensively classified or molecularly characterized. We used high-throughput single-cell RNA sequencing to profile >32,000 ACs from mice of both sexes and applied computational methods to identify 63 AC types. We identified molecular markers for each type and used them to characterize the morphology of multiple types. We show that they include nearly all previously known AC types as well as many that had not been described. Consistent with previous studies, most of the AC types expressed markers for the canonical inhibitory neurotransmitters GABA or glycine, but several expressed neither or both. In addition, many expressed one or more neuropeptides, and two expressed glutamatergic markers. We also explored transcriptomic relationships among AC types and identified transcription factors expressed by individual or multiple closely related types. Noteworthy among these were Meis2 and Tcf4, expressed by most GABAergic and most glycinergic types, respectively. Together, these results provide a foundation for developmental and functional studies of ACs, as well as means for genetically accessing them. Along with previous molecular, physiological, and morphologic analyses, they establish the existence of at least 130 neuronal types and nearly 140 cell types in the mouse retina.SIGNIFICANCE STATEMENT The mouse retina is a leading model for analyzing the development, structure, function, and pathology of neural circuits. A complete molecular atlas of retinal cell types provides an important foundation for these studies. We used high-throughput single-cell RNA sequencing to characterize the most heterogeneous class of retinal interneurons, amacrine cells, identifying 63 distinct types. The atlas includes types identified previously as well as many novel types. We provide evidence for the use of multiple neurotransmitters and neuropeptides, and identify transcription factors expressed by groups of closely related types. Combining these results with those obtained previously, we proposed that the mouse retina contains ∼130 neuronal types and is therefore comparable in complexity to other regions of the brain.
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A spatiotemporal atlas of orchiectomy-induced androgen deprivation-mediated modulation of cellular composition and gene expression in the mouse prostate.
Androgen deprivation therapy (ADT) remains a cornerstone in the treatment of prostate cancer (PCa), yet most tumors eventually develop resistance. Murine models are widely used to study PCa progression and ADT response, but a detailed understanding of the prostate's biological response to androgen deprivation in these models is lacking. Here, we present a comprehensive spatiotemporal analysis of cellular and transcriptional dynamics in the mouse prostate following orchiectomy (ORX)-induced androgen deprivation. We observed progressive involution across all prostate lobes (dorsal, ventral, lateral, and anterior) and distinct lobe-specific temporal gene expression changes post-ORX. Immune cell infiltration markedly increased over time, highlighting a shift in the prostate's cellular landscape. Single-cell RNA sequencing uncovered a previously undescribed fibroblast subtype-termed ORX-induced fibroblast (OIF)-characterized by high expression of Wnt2, Rorb, and Wif1, with distinct spatial localization. Pathway analysis revealed upregulation of amide and peptide binding functions, alongside suppression of peptidase and endopeptidase activity. Furthermore, dynamic changes in ligand-receptor interactions across lobes underscored the evolving intercellular communication in the post-ORX prostate. By integrating spatial transcriptomics with single-cell profiling, our study generates a high-resolution atlas of the murine prostate's response to androgen deprivation. These findings provide a foundational resource for interpreting ADT responses in preclinical models of PCa.
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Functional Atlas of Primary miRNA Maturation by the Microprocessor.
Primary microRNAs (miRNAs) are the precursors of miRNAs that modulate the expression of most mRNAs in humans. They fold up into a hairpin structure that is cleaved at its base by an enzyme complex known as the Microprocessor (Drosha/DGCR8). While many of the molecular details are known, a complete understanding of what features distinguish primary miRNA from hairpin structures in other transcripts is still lacking. We develop a massively parallel functional assay termed Dro-seq (Drosha sequencing) that enables testing of hundreds of known primary miRNA substrates and thousands of single-nucleotide variants. We find an additional feature of primary miRNAs, called Shannon entropy, describing the structural ensemble important for processing. In a deep mutagenesis experiment, we observe particular apical loop U bases, likely recognized by DGCR8, are important for efficient processing. These findings build on existing knowledge about primary miRNA maturation by the Microprocessor and further explore the substrate RNA sequence-structure relationship.
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Cellular diversity in the Drosophila midbrain revealed by single-cell transcriptomics.
To understand the brain, molecular details need to be overlaid onto neural wiring diagrams so that synaptic mode, neuromodulation and critical signaling operations can be considered. Single-cell transcriptomics provide a unique opportunity to collect this information. Here we present an initial analysis of thousands of individual cells from Drosophila midbrain, that were acquired using Drop-Seq. A number of approaches permitted the assignment of transcriptional profiles to several major brain regions and cell-types. Expression of biosynthetic enzymes and reuptake mechanisms allows all the neurons to be typed according to the neurotransmitter or neuromodulator that they produce and presumably release. Some neuropeptides are preferentially co-expressed in neurons using a particular fast-acting transmitter, or monoamine. Neuromodulatory and neurotransmitter receptor subunit expression illustrates the potential of these molecules in generating complexity in neural circuit function. This cell atlas dataset provides an important resource to link molecular operations to brain regions and complex neural processes.
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Single-Cell RNA Sequencing Delineates the Atlas and Cell Interactions of the Testicular Cells in Chinese Soft-Shelled Turtle (Pelodiscus sinensis).
Spermatogenesis is a complicated process of sexual reproduction, involving cell proliferation and differentiation, and depends on intricate interactions between testicular somatic cells and germ cells. For further investigations on male germ cells' development and differentiation in Chinese soft-shelled turtle (Pelodiscus sinensis), it is crucial to define testicular cell types and their molecular regulators. Here, the 10 × Genomics single-cell RNA sequencing was adopted to study the transcriptomic profiles of single cells during the spermatogenesis of adult Chinese soft-shelled turtle. In total, 7317 individual cell transcriptomes were collected for analysis, and 11 cell types were identified with known differentially expressed genes, including Leydig cells, Sertoli cells, spermatogonia, spermatocytes, and spermatids. Likewise, the top 10 marker genes and top-enriched gene pathways were analyzed in each cell type. Intriguingly, ligand-receptor analysis showed that the strongest interaction between Leydig cells and germ cells was using CellChat. Moreover, a primary developmental trajectory of male germ cells was constructed from spermatogonia to spermatids, as well as some important cell-specific regulators were identified for labeling the germ cells at different stages, including PCNA and Stra8, validated by immunostaining fluorescence. In addition, the transcriptomic profiles of male germ cells at different stages were comparatively analyzed among fruit fly, fish, mammals, and Chinese soft-shelled turtle, and the conserved and divergent regulators of male germ cells were summarized across species. In conclusion, this study provided novel insights into the testicular cells' atlas in turtles, and the findings would facilitate the development of techniques for manipulating germ cells, such as isolating cells and defining stages of differentiation.
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A cell atlas of thoracic aortic perivascular adipose tissue: a focus on mechanotransducers.
Perivascular adipose tissue (PVAT) is increasingly recognized for its function in mechanotransduction. However, major gaps remain in our understanding of the cells present in PVAT, as well as how different cells contribute to mechanotransduction. We hypothesized that snRNA-seq would reveal the expression of mechanotransducers, and test one (PIEZO1) to illustrate the expression and functional agreement between single-nuclei RNA sequencing (snRNA-seq) and physiological measurements. To contrast two brown tissues, subscapular brown adipose tissue (BAT) was also examined. We used snRNA-seq of the thoracic aorta PVAT (taPVAT) and BAT from male Dahl salt-sensitive (Dahl SS) rats to investigate cell-specific expression mechanotransducers. Localization and function of the mechanostransducer PIEZO1 were further examined using immunohistochemistry (IHC) and RNAscope, as well as pharmacological antagonism. Approximately 30,000 nuclei from taPVAT and BAT each were characterized by snRNA-seq, identifying eight major cell types expected and one unexpected (nuclei with oligodendrocyte marker genes). Cell-specific differential gene expression analysis between taPVAT and BAT identified up to 511 genes (adipocytes) with many (≥20%) being unique to individual cell types. Piezo1 was the most highly, widely expressed mechanotransducer. The presence of PIEZO1 in the PVAT but not the adventitia was confirmed by RNAscope and IHC in male and female rats. Importantly, antagonism of PIEZO1 by GsMTX4 impaired the PVAT's ability to hold tension. Collectively, the cell compositions of taPVAT and BAT are highly similar, and PIEZO1 is likely a mechanotransducer in taPVAT.NEW & NOTEWORTHY This study describes the atlas of cells in the thoracic aorta perivascular adipose tissue (taPVAT) of the Dahl-SS rat, an important hypertension model. We show that mechanotransducers are widely expressed in these cells. Moreover, PIEZO1 expression is shown to be restricted to the taPVAT and is functionally implicated in stress relaxation. These data will serve as the foundation for future studies investigating the role of taPVAT in this model of hypertensive disease.