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TMEM176B orchestrates intratumoral hierarchy and immunosuppression in hepatocellular carcinoma: Insights from single-cell transcriptomics.
BACKGROUND: Hepatocellular carcinoma (HCC) exhibits profound intratumoral heterogeneity and a complex immune microenvironment, posing significant challenges for effective treatment. METHODS: To dissect the cellular heterogeneity of HCC, we performed single-cell RNA sequencing (scRNA-seq) on paired tumor and adjacent non-tumor tissues from five patients. Non-negative matrix factorization (NMF) and WGCNA were employed to identify transcriptional metaprograms and co-expression modules. CellPhoneDB were utilized to analyze intercellular communication and the spatial organization of TMEM176B. Furthermore Transwell, wound healing, and colony formation assays, were conducted in LM3 and Huh-7 cell lines to validate the functional role of TMEM176B in vitro. RESULTS: Our analysis established a single-cell transcriptomic atlas of HCC, revealing a highly ordered hierarchical intratumoral heterogeneity. We identified TMEM176B as a pivotal molecule negatively correlated with cellular differentiation potential (CytoTRACE score) and positively associated with immune infiltration and checkpoint expression. Functional validation demonstrated that TMEM176B overexpression significantly impaired HCC cell invasion, migration, and proliferation. Clinically, low TMEM176B expression was significantly associated with worse overall survival in HCC patients. CONCLUSIONS: Our study delineates the malignant hierarchy in HCC and identifies TMEM176B as a critical driver linking tumor dedifferentiation and immune remodeling. TMEM176B is associated with patient prognosis and warrants further evaluation as a potential prognostic biomarker in multivariate settings.and a potential therapeutic target for reversing immune dysfunction in HCC.
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Single-cell transcriptomic analysis identifies extensive heterogeneity in the cellular composition of mouse Achilles tendons.
Tendon is a dense connective tissue that stores and transmits forces between muscles and bones. Cellular heterogeneity is increasingly recognized as an important factor in the biological basis of tissue homeostasis and disease, yet little is known about the diversity of cell types that populate tendon. To address this, we determined the heterogeneity of cell populations within mouse Achilles tendons using single-cell RNA sequencing. In assembling a transcriptomic atlas of Achilles tendons, we identified 11 distinct types of cells, including three previously undescribed populations of tendon fibroblasts. Prior studies have indicated that pericytes, which are found in the vasculature of tendons, could serve as a potential source of progenitor cells for adult tendon fibroblasts. Using trajectory inference analysis, we provide additional support for the notion that pericytes are likely to be at least one of the progenitor cell populations for the fibroblasts that compose adult tendons. We also modeled cell-cell interactions and identified previously undescribed ligand-receptor signaling interactions involved in tendon homeostasis. Our novel and interactive tendon atlas highlights previously underappreciated heterogeneity between and within tendon cell populations. The atlas also serves as a resource to further the understanding of tendon extracellular matrix assembly and maintenance and in the design of therapies for tendinopathies.
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Single-nucleus RNA sequencing reveals cell types, genes, and regulatory factors influencing melanogenesis in the breast muscle of Xuefeng black-bone chicken.
The black-bone chicken, known for its high melanin content, holds significant economic value due to this unique trait. Particularly notable is the prominent melanin deposition observed in its breast muscle. However, the molecular mechanisms governing melanin synthesis and deposition in the breast muscle of black-bone chickens remain largely unknown. This study employed a single-nucleus transcriptome assay to identify genes associated with melanin deposition in the breast muscle of black-bone chickens, which are presumed to influence pigmentation levels. A comprehensive analysis of the nuclear transcriptome was conducted on the breast muscle of Xuefeng black-bone chickens, encompassing 18 distinct cell types, including melanocytes. Our findings revealed that STIMATE, LRRC7, ENSGALG00000049990, and GLDC play pivotal regulatory roles in melanin deposition within the breast muscle. Further exploration into the molecular mechanisms unveiled transcription factors and protein interactions suggesting that RARB, KLF15, and PRDM4 may be crucial regulators of melanin accumulation in the breast muscle. Additionally, HPGDS, GSTO1, and CYP1B1 may modulate melanin production and deposition in the breast muscle by influencing melanocyte metabolism. Our findings also suggest that melanocyte function in the breast muscle may be intertwined with intercellular signaling pathways such as PTPRK-WNT5A, NOTCH1-JAG1, IGF1R-IGF1, IDE-GCG, and ROR2-WNT5A. Leveraging advanced snRNA-seq technology, we generated a comprehensive single-cell nuclear transcriptome atlas of the breast muscle of Xuefeng black-bone chickens. This facilitated the identification of candidate genes, regulatory factors, and cellular signals potentially influencing melanin deposition and melanocyte function. Overall, our study provides crucial insights into the molecular basis of melanin deposition in chicken breast muscle, laying the groundwork for future breeding programs aimed at enhancing black-bone chicken cultivation.
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TrkB-dependent regulation of molecular signaling across septal cell types.
The lateral septum (LS), a GABAergic structure located in the basal forebrain, is implicated in social behavior, learning, and memory. We previously demonstrated that expression of tropomyosin kinase receptor B (TrkB) in LS neurons is required for social novelty recognition. To better understand molecular mechanisms by which TrkB signaling controls behavior, we locally knocked down TrkB in LS and used bulk RNA-sequencing to identify changes in gene expression downstream of TrkB. TrkB knockdown induces upregulation of genes associated with inflammation and immune responses, and downregulation of genes associated with synaptic signaling and plasticity. Next, we generated one of the first atlases of molecular profiles for LS cell types using single nucleus RNA-sequencing (snRNA-seq). We identified markers for the septum broadly, and the LS specifically, as well as for all neuronal cell types. We then investigated whether the differentially expressed genes (DEGs) induced by TrkB knockdown map to specific LS cell types. Enrichment testing identified that downregulated DEGs are broadly expressed across neuronal clusters. Enrichment analyses of these DEGs demonstrated that downregulated genes are uniquely expressed in the LS, and associated with either synaptic plasticity or neurodevelopmental disorders. Upregulated genes are enriched in LS microglia, associated with immune response and inflammation, and linked to both neurodegenerative disease and neuropsychiatric disorders. In addition, many of these genes are implicated in regulating social behaviors. In summary, the findings implicate TrkB signaling in the LS as a critical regulator of gene networks associated with psychiatric disorders that display social deficits, including schizophrenia and autism, and with neurodegenerative diseases, including Alzheimer's.
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A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain.
The mammalian brain is composed of millions to billions of cells that are organized into numerous cell types with specific spatial distribution patterns and structural and functional properties. An essential step towards understanding brain function is to obtain a parts list, i.e., a catalog of cell types, of the brain. Here, we report a comprehensive and high-resolution transcriptomic and spatial cell type atlas for the whole adult mouse brain. The cell type atlas was created based on the combination of two single-cell-level, whole-brain-scale datasets: a single-cell RNA-sequencing (scRNA-seq) dataset of ~7 million cells profiled, and a spatially resolved transcriptomic dataset of ~4.3 million cells using MERFISH. The atlas is hierarchically organized into five nested levels of classification: 7 divisions, 32 classes, 306 subclasses, 1,045 supertypes and 5,200 clusters. We systematically analyzed the neuronal, non-neuronal, and immature neuronal cell types across the brain and identified a high degree of correspondence between transcriptomic identity and spatial specificity for each cell type. The results reveal unique features of cell type organization in different brain regions, in particular, a dichotomy between the dorsal and ventral parts of the brain: the dorsal part contains relatively fewer yet highly divergent neuronal types, whereas the ventral part contains more numerous neuronal types that are more closely related to each other. We also systematically characterized cell-type specific expression of neurotransmitters, neuropeptides, and transcription factors. The study uncovered extraordinary diversity and heterogeneity in neurotransmitter and neuropeptide expression and co-expression patterns in different cell types across the brain, suggesting they mediate a myriad of modes of intercellular communications. Finally, we found that transcription factors are major determinants of cell type classification in the adult mouse brain and identified a combinatorial transcription factor code that defines cell types across all parts of the brain. The whole-mouse-brain transcriptomic and spatial cell type atlas establishes a benchmark reference atlas and a foundational resource for deep and integrative investigations of cell type and circuit function, development, and evolution of the mammalian brain.
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Lipidomics and single-cell RNA sequencing reveal lipid and cell dynamics of porcine glycerol-injured skeletal muscle regeneration model.
AIMS: Intramuscular fat (IMF) infiltration and extracellular matrix (ECM) deposition are characteristic features of muscle dysfunction, such as muscular dystrophy and severe muscle injuries. However, the underlying mechanisms of cellular origin, adipocyte formation and fibrosis in skeletal muscle are still unclear. MAIN METHODS: Pigs were injected with 50 % glycerol (GLY) to induce skeletal muscle injury and regeneration. The acyl chain composition was analyzed by lipidomics, and the cell atlas and molecular signatures were revealed via single-cell RNA sequencing (scRNA-seq). Adipogenesis analysis was performed on fibroblast/fibro-adipogenic progenitors (FAPs) isolated from pigs. KEY FINDINGS: The porcine GLY-injured skeletal muscle regeneration model was characterized by IMF infiltration and ECM deposition. Skeletal muscle stem cells (MuSCs) and FAP clusters were analyzed to explore the potential mechanisms of adipogenesis and fibrosis, and it was found that the TGF-β signaling pathway might be a key switch that regulates differentiation. Consistently, activation of the TGF-β signaling pathway increased SMAD2/3 phosphorylation and inhibited adipogenesis in FAPs, while inhibition of the TGF-β signaling pathway increased the expression of PPARγ and promoted adipogenesis. SIGNIFICANCE: GLY-induced muscle injury and regeneration provides comprehensive insights for the development of therapies for human skeletal muscle dysfunction and fatty infiltration-related diseases in which the TGF-β/SMAD signaling pathway might play a primary regulatory role.
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Neuron-Specific Gene Family Member 1 is a Potential New Therapeutic Target Associated with Immune Cell Infiltration for Breast Cancer.
BACKGROUND: Breast cancer (BC) is the most common cancer and is highly morphologically and molecularly heterogeneous. Neuron-specific gene family member 1 (NSG1) is a small single-channel transmembrane protein that consists of 185 amino acids and has been reported in a variety of tumours in recent years. However, the role of NSG1 in BC is unclear. OBJECTIVE: This study aimed to explore the role of NSG1 in the pathogenesis and development of BC and its potential as a prognostic marker for BC. METHODS: This study analysed data from The Cancer Genome Atlas database and the Gene Expression Omnibus database to determine the expression level and prognostic value of NSG1 messenger ribonucleic acid in BC. Using this data, we constructed a clinical risk model. Immunohistochemistry was performed in combination with a clinical cohort of 192 patients with BC to explore the NSG1 protein expression in BC. Enrichment analysis was used to predict the biological function of NSG1 in BC. To analyse the correlation between NSG1 and the BC immune microenvironment, a single-cell analysis of NSG1 expression and cells in BC was performed. Kaplan‒Meier curves and Cox regression analysis were utilised to identify the relationship between the expression of NSG1 protein and clinicopathological features and prognosis. RESULTS: Neuron-specific gene family member 1 is highly expressed in patients with early BC, and its expression suggests a good prognosis for patients with BC. Neuron-specific gene family member 1 is involved in the T-cell receptor complex in BC and is associated with CD8 T cells in the BC immune microenvironment and may induce M1 polarisation of macrophages. CONCLUSION: Neuron-specific gene family member 1 is a biomarker of good prognosis in BC. It is associated with the immune microenvironment of BC and may be a potential therapeutic target.
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Single-cell atlas reveals a distinct immune profile fostered by T cell-B cell crosstalk in triple negative breast cancer.
BACKGROUND: Characterizing the unique immune microenvironment of each tumor is of great importance for better predicting prognosis and guiding cancer immunotherapy. However, the unique features of the immune microenvironment of triple negative breast cancer (TNBC) compared with other subtypes of breast cancer remain elusive. Therefore, we aimed to depict and compare the immune landscape among TNBC, human epidermal growth factor receptor 2-positive (HER2+ ) breast cancer, and luminal-like breast cancer. METHODS: Single-cell RNA sequencing (scRNA-seq) was performed on CD45+ immune cells isolated from human normal breast tissues and primary breast tumors of various subtypes. By analyzing the scRNA-seq data, immune cell clusters were identified and their proportions as well as transcriptome features were compared among TNBC, human HER2+ breast cancer, and luminal-like breast cancer. Pseudotime and cell-cell communication analyses were also conducted to characterize the immune microenvironment. RESULTS: ScRNA-seq data of 117,958 immune cells were obtained and 31 immune clusters were identified. A unique immunosuppressive microenvironment in TNBC was decoded as compared to that in HER2+ or luminal-like breast cancer, which was characterized by higher proportions of regulatory T cells (Tregs) and exhausted CD8+ T cells and accompanied by more abundant plasma cells. Tregs and exhausted CD8+ T cells in TNBC exhibited increased immunosuppression signature and dysfunctional scores. Pseudotime analyses showed that B cells tended to differentiate to plasma cells in TNBC. Cell-cell communication analyses indicated that these unique features are fostered by the diversified T cell-B cell crosstalk in TNBC. Based on the T cell-B cell crosstalk, a prognostic signature was established that could effectively predict the prognosis status for patients with TNBC. Additionally, it was found that TNBC had a higher proportion of cytotoxic natural killer (NK) cells, whereas HER2+ or luminal-like breast cancer lost this feature, suggesting that HER2+ or luminal-like breast cancer, but not TNBC, may benefit from NK-based immunotherapy. CONCLUSIONS: This study identified a distinct immune feature fostered by T cell-B cell crosstalk in TNBC, which provides better prognostic information and effective therapeutic targets for breast cancer.
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Spatial single-cell maps reveal ST6GAL1 promoting ovarian cancer metastasis.
In this study, spatial and single-cell transcriptome techniques were used to investigate the role of beta-galactoside alpha-2,6-sialyltransferase 1 (ST6GAL1) in promoting peritoneal metastasis in ovarian cancer epithelial cells. We collected single-cell transcriptomic (GSE130000) and spatial transcriptomic datasets (GSE211956) from the Gene Expression Omnibus and RNA-sequencing data from The Cancer Genome Atlas. The Robust Cell Type Decomposition (RCTD) approach was implemented to integrate spatial and single-cell transcriptomic data. In addition, pseudo-time trajectory analysis, cell-cell communication networks, transcription factor activity profiling, spatial interaction mapping, and prognostic significance of gene expression were assessed. A significant enrichment of ST6GAL1 was observed in the epithelial cells of ovarian cancer, particularly in peritoneal metastases, which exhibited elevated metabolic activity compared to primary tumors. The levels of ST6GAL1 were significantly high in peritumoral and adjacent non-tumorous tissues, with increased metabolic activity, while the tumor core demonstrated ST6GAL1-negative epithelial cells. Extensive cell-cell communication and transcription factor networks were unraveled, potentially influencing vascular permeability and intracellular signaling. Clinically, high expression of ST6GAL1 in epithelial cells is associated with diminished progression-free survival, indicating its prognostic potential. In conclusion, ST6GAL1 is likely to significantly impact the progression and metastasis of ovarian cancer.
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Multi-Omics analysis elucidates tumor microenvironment and intratumor microbes of angiogenesis subtypes in colon cancer.
BACKGROUND: Angiogenesis plays an important role in colon cancer (CC) progression. AIM: To investigate the tumor microenvironment (TME) and intratumor microbes of angiogenesis subtypes (AGSs) and explore potential targets for antiangiogenic therapy in CC. METHODS: The data were obtained from The Cancer Genome Atlas database and Gene Expression Omnibus database. K-means clustering was used to construct the AGSs. The prognostic model was constructed based on the differential genes between two subtypes. Single-cell analysis was used to analyze the expression level of SLC2A3 on different cells in CC, which was validated by immunofluorescence. Its biological functions were further explored in HUVECs. RESULTS: CC samples were grouped into two AGSs (AGS-A and AGS-B) groups and patients in the AGS-B group had poor prognosis. Further analysis revealed that the AGS-B group had high infiltration of TME immune cells, but also exhibited high immune escape. The intratumor microbes were also different between the two subtypes. A convenient 6-gene angiogenesis-related signature (ARS), was established to identify AGSs and predict the prognosis in CC patients. SLC2A3 was selected as the representative gene of ARS, which was higher expressed in endothelial cells and promoted the migration of HUVECs. CONCLUSION: Our study identified two AGSs with distinct prognoses, TME, and intratumor microbial compositions, which could provide potential explanations for the impact on the prognosis of CC. The reliable ARS model was further constructed, which could guide the personalized treatment. The SLC2A3 might be a potential target for antiangiogenic therapy.