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Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes.
Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8+ cells and greater proportion of exhausted CD8+ cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC.
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Single-Nucleus Transcriptome Profiling of Locally Advanced Cervical Squamous Cell Cancer Identifies Neural-Like Progenitor Program Associated with the Efficacy of Radiotherapy.
Radiotherapy is the first-line treatment for locally advanced cervical squamous cell cancer (CSCC). However, ≈50% of patients fail to respond to therapy and, in some cases, tumors progress after radical radiotherapy. Here, single-nucleus RNA-seq is performed to construct high-resolution molecular landscapes of various cell types in CSCC before and during radiotherapy, to better understand radiotherapy related molecular responses within tumor microenvironment. The results show that expression levels of a neural-like progenitor (NRP) program in tumor cells are significantly higher after radiotherapy and these are enriched in the tumors of nonresponding patients. The enrichment of the NRP program in malignant cells from the tumors of nonresponders in an independent cohort analyzed by bulk RNA-seq is validated. In addition, an analysis of The Cancer Genome Atlas dataset shows that NRP expression is associated with poor prognosis in CSCC patients. In vitro experiments on the CSCC cell line demonstrate that downregulation of neuregulin 1 (NRG1), a key gene from NRP program, is associated with decreased cell growth and increased sensitivity to radiation. Immunohistochemistry staining in cohort 3 validated key genes, NRG1 and immediate early response 3 from immunomodulatory program, as radiosensitivity regulators. The findings reveal that the expression of NRP in CSCC can be used to predict the efficacy of radiotherapy.
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Single-cell transcriptomics uncovers key immune drivers of vaccine efficacy in cattle.
Comprehensive characterization of bovine immune cell populations is essential for improving animal welfare and disease resilience. We performed single-cell RNA sequencing on over 29,000 peripheral blood mononuclear cells (PBMCs) from Angus cattle stratified by delayed-type hypersensitivity (DTH), a proxy for the cellular immune response (Cell-IR). Unsupervised clustering identified major immune populations including CD4⁺ and CD8⁺ T cells, γδ T cells, B cells, monocytes, and dendritic cells. Differential gene expression suggests that low Cell-IR cattle have in elevated NKT inflammatory response, while high Cell-IR cattle have increased CD8- γδ T cell and pro-inflammatory myeloid activity. Intercellular communication analysis using CellChat highlighted pro-inflammatory cytokine cascades, particularly the IL-1β- IL-1R1 ligand-receptor interactions. This study provides a high-resolution atlas of Angus PBMCs and establishes a framework for linking immune cell composition with functional immune phenotypes in cattle.
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Single-cell analysis of tumor microenvironment and cell adhesion reveals that interleukin-1 beta promotes cancer cell proliferation in breast cancer.
BACKGROUND: Triple-negative breast cancer (TNBC), which is so called because of the lack of estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2) receptors on the cancer cells, accounts for 10%-15% of all breast cancers. The heterogeneity of the tumor microenvironment is high. However, the role of plasma cells controlling the tumor migration progression in TNBC is still not fully understood. METHODS: We analyzed single-cell RNA sequencing data from five HER2 positive, 12 ER positive/PR positive, and nine TNBC samples. The potential targets were validated by immunohistochemistry. RESULTS: Plasma cells were enriched in TNBC samples, which was consistent with validation using data from The Cancer Genome Atlas. Cell communication analysis revealed that plasma cells interact with T cells through the intercellular adhesion molecule 2-integrin-aLb2 complex, and then release interleukin 1 beta (IL1B), as verified by immunohistochemistry, ultimately promoting tumor growth. CONCLUSION: Our results revealed the role of plasma cells in TNBC and identified IL1B as a new prognostic marker for TNBC.
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A pan-cancer comparative analysis of the cancer genome atlas transcriptomic TIL-immune signatures.
Efforts to understand the tumor microenvironment through basic science research and the cancer genome atlas (TCGA) data analysis have led to the creation of unique immune transcriptomic signatures from tumor-infiltrating lymphocytes (TIL). However, no pan-cancer analysis has been conducted to compare the prognostic performance of these signatures using overall survival (OS) or progression-free interval (PFI) as endpoints. We compiled a library of 146 TIL-immune signatures and evaluated gene signature score correlation with OS and PFI for 9,961 available TCGA samples across 33 tumor types. Zhang CD8 TCS demonstrated higher accuracy in prognosticating both OS and PFI across the pan-cancer landscape; however, variability was seen across cancer types and germ cell origin. Cluster analysis compiled a group of six signatures (Oh.Cd8.MAIT, Grog.8KLRB1, Oh.TIL_CD4.GZMK, Grog.CD4.TCF7, Oh.CD8.RPL, Grog.CD4.RPL32) whose association with OS and PFI could potentially be conserved across multiple neoplasms.
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A spatiotemporal cell atlas of cardiopulmonary progenitor cell allocation during development.
The heart and lung co-orchestrate their development during organogenesis. The mesoderm surrounding both the developing heart and anterior foregut endoderm provides instructive cues guiding cardiopulmonary development. Additionally, it serves as a source of cardiopulmonary progenitor cells (CPPs) expressing Wnt2 that give rise to both cardiac and lung mesodermal cell lineages. Despite the mesoderm's critical importance to both heart and lung development, mechanisms guiding CPP specification are unclear. To address this, we lineage traced Wnt2+ CPPs at E8.5 and performed single-cell RNA sequencing on collected progeny across the developmental lifespan. Using computational analyses, we created a CPP-derived cell atlas that revealed a previously underappreciated spectrum of CPP-derived cell lineages, including all lung mesodermal lineages, ventricular cardiomyocytes, and epicardial and pericardial cells. By integrating spatial mapping with computational cell trajectory analysis and transcriptional profiling, we have provided a potential molecular and cellular roadmap for cardiopulmonary development.
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Multimodal analysis reveals cellular diversity and divergent circuits of the zona incerta.
The zona incerta (ZI) plays an important role in diverse behavioral functions and is an emerging clinical target for deep brain stimulation to treat neurological conditions. Despite their importance, the cell type composition of the ZI and the anatomical circuit organization linking specific ZI cell types to brain-wide circuits remain unclear. In this study, we used single-nucleus RNA-sequencing, spatial RNA profiling, ex vivo electrophysiology, and anatomical circuit mapping to generate a multimodal cellular atlas of the ZI and to characterize the brain-wide monosynaptic inputs to specific ZI cell types. We define four genetically distinct populations of ZI GABAergic neurons that display unique spatial distributions, specialized intrinsic electrophysiological properties, divergent efferent projections, and cell-type-dependent synaptic input patterns. Finally, using fiber photometry, we reveal response divergence between distinct ZI cell types in a behavioral assay that centers around approach-avoidance conflict produced by appetitive and innately aversive stimuli. This study thus provides a foundational resource for the design and interpretation of future experiments aimed at understanding the organization and function of the ZI.
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Epithelial and macrophage cell interaction in cervical cancer through single-cell RNA-sequencing and spatial analysis.
BACKGROUND: Cervical cancer (CC) is a major global health issue, ranking sixth in cancer-related mortality. The tumor microenvironment (TME) plays a crucial role in tumor growth. This study explored the cellular composition and immunological landscape of CC using various genomic data sources. METHODS: Data from the Cancer Genome Atlas and Gene Expression Omnibus were analyzed, including single-cell RNA sequencing, spatial transcriptome analysis, and survival data. Gene set variation analysis (GSVA) identified pathways in CD8+ cells, macrophages, and epithelial cells. Immunohistochemistry assessed marker expression in CC and normal tissues. Tumor immune dysfunction and exclusion (TIDE) scores differentiated high- and low-macrophage groups. Cell-cell communication analyses highlighted interactions between macrophages and epithelial cells. RESULTS: Macrophage markers correlated with overall survival (OS) and disease-free survival (DFS). Epithelial cell subgroups 1 and 4, along with CD8+ T cells, were associated with OS. TIDE scores varied between groups. Specific ligand-receptor interactions were found between macrophages and epithelial cell subgroup 1. Triptolide was effective in epithelial cell subgroup 1, while memantine was more effective in macrophages. CONCLUSION: Epithelial-macrophage interactions in the TME are crucial for CC progression and treatment, offering a potential immunotherapeutic strategy.
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A single-cell atlas of Plasmodium falciparum transmission through the mosquito.
Malaria parasites have a complex life cycle featuring diverse developmental strategies, each uniquely adapted to navigate specific host environments. Here we use single-cell transcriptomics to illuminate gene usage across the transmission cycle of the most virulent agent of human malaria - Plasmodium falciparum. We reveal developmental trajectories associated with the colonization of the mosquito midgut and salivary glands and elucidate the transcriptional signatures of each transmissible stage. Additionally, we identify both conserved and non-conserved gene usage between human and rodent parasites, which point to both essential mechanisms in malaria transmission and species-specific adaptations potentially linked to host tropism. Together, the data presented here, which are made freely available via an interactive website, provide a fine-grained atlas that enables intensive investigation of the P. falciparum transcriptional journey. As well as providing insights into gene function across the transmission cycle, the atlas opens the door for identification of drug and vaccine targets to stop malaria transmission and thereby prevent disease.
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Single-cell transcriptomic atlas of goat ovarian aging.
BACKGROUND: The ovaries are one of the first organs that undergo degenerative changes earlier in the aging process, and ovarian aging is shown by a decrease in the number and quality of oocytes. However, little is known about the molecular mechanisms of female age-related fertility decline in different types of ovarian cells during aging, especially in goats. Therefore, the aim of this study was to reveal the mechanisms driving ovarian aging in goats at single-cell resolution. RESULTS: For the first time, we surveyed the single-cell transcriptomic landscape of over 27,000 ovarian cells from newborn, young and aging goats, and identified nine ovarian cell types with distinct gene-expression signatures. Functional enrichment analysis showed that ovarian cell types were involved in their own unique biological processes, such as Wnt beta-catenin signalling was enriched in germ cells, whereas ovarian steroidogenesis was enriched in granulosa cells (GCs). Further analysis showed that ovarian aging was linked to GCs-specific changes in the antioxidant system, oxidative phosphorylation, and apoptosis. Subsequently, we identified a series of dynamic genes, such as AMH, CRABP2, THBS1 and TIMP1, which determined the fate of GCs. Additionally, FOXO1, SOX4, and HIF1A were identified as significant regulons that instructed the differentiation of GCs in a distinct manner during ovarian aging. CONCLUSIONS: This study revealed a comprehensive aging-associated transcriptomic atlas characterizing the cell type-specific mechanisms during ovarian aging at the single-cell level and offers new diagnostic biomarkers and potential therapeutic targets for age-related goat ovarian diseases.