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Browsing by Subject "Single-cell RNA sequencing"
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Item Coronary Smooth Muscle Cell Cytodifferentiation and Intracellular Ca2+ Handling in Coronary Artery Disease(2019-08) Badin, Jill Kimberly; Sturek, Michael S.; Evans-Molina, Carmella; Moe, Sharon; Tune, Jonathan D.Metabolic syndrome (MetS) affects 1/3 of all Americans and is the clustering of three or more of the following cardiometabolic risk factors: obesity, hypertension, dyslipidemia, glucose intolerance, and insulin resistance. MetS drastically increases the incidence of coronary artery disease (CAD), which is the leading cause of mortality globally. A cornerstone of CAD is arterial remodeling associated with coronary smooth muscle (CSM) cytodifferentiation from a contractile phenotype to proliferative and osteogenic phenotypes. This cytodifferentiation is tightly coupled to changes in intracellular Ca2+ handling that regulate several key cellular functions, including contraction, transcription, proliferation, and migration. Our group has recently elucidated the time course of Ca2+ dysregulation during MetS-induced CAD development. Ca2+ transport mechanisms, including voltage-gated calcium channels, sarcoplasmic reticulum (SR) Ca2+ store, and sarco-endoplasmic reticulum Ca2+ ATPase (SERCA), are enhanced in early, mild disease and diminished in late, severe disease in the Ossabaw miniature swine. Using this well-characterized large animal model, I tested the hypothesis that this Ca2+ dysregulation pattern occurs in multiple etiologies of CAD, including diabetes and aging. The fluorescent intracellular Ca2+ ([Ca2+]i) indicator fura-2 was utilized to measure [Ca2+]i handling in CSM from lean and diseased swine. I found that [Ca2+]i handling is enhanced in mild disease with minimal CSM phenotypic switching and diminished in severe disease with greater phenotypic switching, regardless of CAD etiology. We are confident of the translatability of this research, as the Ca2+ influx, SR Ca2+ store, and SERCA functional changes in CSM of humans with CAD are similar to those found in Ossabaw swine with MetS. Single-cell RNA sequencing revealed that CSM cells from an organ culture model of CAD exhibited many different phenotypes, indicating that phenotypic modulation is not a discreet event, but a continuum. Transcriptomic analysis revealed differential expression of many genes that are involved in the osteogenic signaling pathway and in cellular inflammatory responses across phenotypes. These genes may be another regulatory mechanism common to the different CAD etiologies. This study is the first to show that CSM Ca2+ dysregulation is common among different CAD etiologies in a clinically relevant animal model.Item Cryopreservation Preserves Cell-Type Composition and Gene Expression Profiles in Bone Marrow Aspirates From Multiple Myeloma Patients(Frontiers Media, 2021-04-21) Chen, Duojiao; Abu Zaid, Mohammad I.; Reiter, Jill L.; Czader, Magdalena; Wang, Lin; McGuire, Patrick; Xuei, Xiaoling; Gao, Hongyu; Huang, Kun; Abonour, Rafat; Walker, Brian A.; Liu, Yunlong; Medical and Molecular Genetics, School of MedicineSingle-cell RNA sequencing reveals gene expression differences between individual cells and also identifies different cell populations that are present in the bulk starting material. To obtain an accurate assessment of patient samples, single-cell suspensions need to be generated as soon as possible once the tissue or sample has been collected. However, this requirement poses logistical challenges for experimental designs involving multiple samples from the same subject since these samples would ideally be processed at the same time to minimize technical variation in data analysis. Although cryopreservation has been shown to largely preserve the transcriptome, it is unclear whether the freeze-thaw process might alter gene expression profiles in a cell-type specific manner or whether changes in cell-type proportions might also occur. To address these questions in the context of multiple myeloma clinical studies, we performed single-cell RNA sequencing (scRNA-seq) to compare fresh and frozen cells isolated from bone marrow aspirates of six multiple myeloma patients, analyzing both myeloma cells (CD138+) and cells constituting the microenvironment (CD138-). We found that cryopreservation using 90% fetal calf serum and 10% dimethyl sulfoxide resulted in highly consistent gene expression profiles when comparing fresh and frozen samples from the same patient for both CD138+ myeloma cells (R ≥ 0.96) and for CD138- cells (R ≥ 0.9). We also demonstrate that CD138- cell-type proportions showed minimal alterations, which were mainly related to small differences in immune cell subtype sensitivity to the freeze-thaw procedures. Therefore, when processing fresh multiple myeloma samples is not feasible, cryopreservation is a useful option in single-cell profiling studies.Item Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease(BMC, 2022-02-01) Johnson, Travis S.; Yu, Christina Y.; Huang, Zhi; Xu, Siwen; Wang, Tongxin; Dong, Chuanpeng; Shao, Wei; Zaid, Mohammad Abu; Huang, Xiaoqing; Wang, Yijie; Bartlett, Christopher; Zhang, Yan; Walker, Brian A.; Liu, Yunlong; Huang, Kun; Zhang, Jie; Medicine, School of MedicineWe propose DEGAS (Diagnostic Evidence GAuge of Single cells), a novel deep transfer learning framework, to transfer disease information from patients to cells. We call such transferrable information "impressions," which allow individual cells to be associated with disease attributes like diagnosis, prognosis, and response to therapy. Using simulated data and ten diverse single-cell and patient bulk tissue transcriptomic datasets from glioblastoma multiforme (GBM), Alzheimer's disease (AD), and multiple myeloma (MM), we demonstrate the feasibility, flexibility, and broad applications of the DEGAS framework. DEGAS analysis on myeloma single-cell transcriptomics identified PHF19high myeloma cells associated with progression.Item Dissection of transcriptome dysregulation and immune characterization in women with germline BRCA1 mutation at single-cell resolution(Springer, 2022-09-09) Yu, Xuexin; Lin, Wanrun; Spirtos, Alexandra; Wang, Yan; Chen, Hao; Ye, Jianfeng; Parker, Jessica; Liu, Ci Ci; Wang, Yiying; Quinn, Gabriella; Zhou, Feng; Chambers, Setsuko K.; Lewis, Cheryl; Lea, Jayanthi; Li, Bo; Zheng, Wenxin; Obstetrics and Gynecology, School of MedicineBackground: High-grade serous carcinoma (HGSC) is the most frequent and lethal type of ovarian cancer. It has been proposed that tubal secretory cells are the origin of ovarian HGSC in women with familial BRCA1/2 mutations. However, the molecular changes underlying malignant transformation remain unknown. Method: We performed single-cell RNA and T cell receptor sequencing of tubal fimbriated ends from 3 BRCA1 germline mutation carriers (BRCA1 carriers) and 3 normal controls with no high-risk history (non-BRCA1 carriers). Results: Exploring the transcriptomes of 19,008 cells, predominantly from BRCA1+ samples, we identified 5 major cell populations in the fallopian tubal mucosae. The secretory cells of BRCA1+ samples had differentially expressed genes involved in tumor growth and regulation, chemokine signaling, and antigen presentation compared to the wild-type BRCA1 controls. There are several novel findings in this study. First, a subset of the fallopian tubal secretory cells from one BRCA1 carrier exhibited an epithelial-to-mesenchymal transition (EMT) phenotype, which was also present in the mucosal fibroblasts. Second, we identified a previously unreported phenotypic split of the EMT secretory cells with distinct evolutionary endpoints. Third, we observed increased clonal expansion among the CD8+ T cell population from BRCA1+ carriers. Among those clonally expanded CD8+ T cells, PD-1 was significantly increased in tubal mucosae of BRCA1+ patients compared with that of normal controls, indicating that T cell exhaustion may occur before the development of any premalignant or malignant lesions. Conclusion: These results indicate that EMT and immune evasion in normal-looking tubal mucosae may represent early events leading to the development of HGSC in women with BRCA1 germline mutation. Our findings provide a probable molecular mechanism explaining why some, but not all, women with BRCA1 germline mutation present with early development and rapid dissemination of HGSC.Item Heterogeneity of Hepatic Stellate Cells in Fibrogenesis of the Liver: Insights from Single-Cell Transcriptomic Analysis in Liver Injury(MDPI, 2021-08-19) Zhang, Wenjun; Conway, Simon J.; Liu, Ying; Snider, Paige; Chen, Hanying; Gao, Hongyu; Liu, Yunlong; Isidan, Kadir; Lopez, Kevin J.; Campana, Gonzalo; Li, Ping; Ekser, Burcin; Francis, Heather; Shou, Weinian; Kubal, Chandrashekhar; Pediatrics, School of MedicineBackground & Aims: Liver fibrosis is a pathological healing process resulting from hepatic stellate cell (HSC) activation and the generation of myofibroblasts from activated HSCs. The precise underlying mechanisms of liver fibrogenesis are still largely vague due to lack of understanding the functional heterogeneity of activated HSCs during liver injury. Approach and Results: In this study, to define the mechanism of HSC activation, we performed the transcriptomic analysis at single-cell resolution (scRNA-seq) on HSCs in mice treated with carbon tetrachloride (CCl4). By employing LRAT-Cre:Rosa26mT/mG mice, we were able to isolate an activated GFP-positive HSC lineage derived cell population by fluorescence-activated cell sorter (FACS). A total of 8 HSC subpopulations were identified based on an unsupervised analysis. Each HSC cluster displayed a unique transcriptomic profile, despite all clusters expressing common mouse HSC marker genes. We demonstrated that one of the HSC subpopulations expressed high levels of mitosis regulatory genes, velocity, and monocle analysis indicated that these HSCs are at transitioning and proliferating phases at the beginning of HSCs activation and will eventually give rise to several other HSC subtypes. We also demonstrated cell clusters representing HSC-derived mature myofibroblast populations that express myofibroblasts hallmark genes with unique contractile properties. Most importantly, we found a novel HSC cluster that is likely to be critical in liver regeneration, immune reaction, and vascular remodeling, in which the unique profiles of genes such as Rgs5, Angptl6, and Meg3 are highly expressed. Lastly, we demonstrated that the heterogeneity of HSCs in the injured mouse livers is closely similar to that of cirrhotic human livers. Conclusions: Collectively, our scRNA-seq data provided insight into the landscape of activated HSC populations and the dynamic transitional pathway from HSC to myofibroblasts in response to liver injury.Item Proinflammatory signaling in islet β cells propagates invasion of pathogenic immune cells in autoimmune diabetes(Elsevier, 2022) Piñeros, Annie R.; Kulkarni, Abhishek; Gao, Hongyu; Orr, Kara S.; Glenn, Lindsey; Huang, Fei; Liu, Yunlong; Gannon, Maureen; Syed, Farooq; Wu, Wenting; Anderson, Cara M.; Evans-Molina, Carmella; McDuffie, Marcia; Nadler, Jerry L.; Morris, Margaret A.; Mirmira, Raghavendra G.; Tersey, Sarah A.; Pediatrics, School of MedicineType 1 diabetes is a disorder of immune tolerance that leads to death of insulin-producing islet β cells. We hypothesize that inflammatory signaling within β cells promotes progression of autoimmunity within the islet microenvironment. To test this hypothesis, we deleted the proinflammatory gene encoding 12/15-lipoxygenase (Alox15) in β cells of non-obese diabetic mice at a pre-diabetic time point when islet inflammation is a feature. Deletion of Alox15 leads to preservation of β cell mass, reduces populations of infiltrating T cells, and protects against spontaneous autoimmune diabetes in both sexes. Mice lacking Alox15 in β cells exhibit an increase in a population of β cells expressing the gene encoding the protein programmed death ligand 1 (PD-L1), which engages receptors on immune cells to suppress autoimmunity. Delivery of a monoclonal antibody against PD-L1 recovers the diabetes phenotype in knockout animals. Our results support the contention that inflammatory signaling in β cells promotes autoimmunity during type 1 diabetes progression.Item Single-Cell RNA Sequencing Reveals Smooth Muscle Cells Heterogeneity in Experimental Aortic Dissection(Frontiers Media, 2022-08-11) Xu, Cheng; Liu, Xiaowei; Fang, Xiaoxin; Yu, Lei; Lau, Hui Chong; Li, Danlei; Liu, Xiaoman; Li, Haili; Ren, Justin; Xu, Baohui; Jiang, Jianjun; Tang, Lijiang; Chen, Xiaofeng; Radiation Oncology, School of MedicinePurpose: This study aims to illustrate the cellular landscape in the aorta of experimental aortic dissection (AD) and elaborate on the smooth muscle cells (SMCs) heterogeneity and functions among various cell types. Methods: Male Apolipoprotein deficient (ApoE-/-) mice at 28 weeks of age were infused with Ang II (2,500 ng/kg/min) to induce AD. Aortas from euthanized mice were harvested after 7 days for 10×Genomics single-cell RNA sequencing (scRNA-seq), followed by the identification of cell types and differentially expressed genes (DEGs). Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was conducted. Results: AD was successfully induced in ApoE-/- mice. scRNA-seq identified 15 cell clusters and nine cell types, including non-immune cells (endothelials, fibroblasts, and SMCs) and immune cells (B cells, natural killer T cell, macrophages, dendritic cells, neutrophils, and mast cells). The relative numbers of SMCs were remarkably changed, and seven core DEGs (ACTA2,IL6,CTGF,BGN,ITGA8,THBS1, and CDH5) were identified in SMCs. Moreover, we found SMCs can differentiate into 8 different subtypes through single-cell trajectory analysis. Conclusion: scRNA-seq technology can successfully identify unique cell composition in experimental AD. To our knowledge, this is the first study that provided the complete cellular landscape in AD tissues from mice, seven core DEGs and eight subtypes of SMCs were identified, and the SMCs have evolution from matrix type to inflammatory type.Item Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data(World Scientific Publishing Company, 2019) Wang, Tongxin; Johnson, Travis; Zhang, Jie; Huang, Kun; Department of Medical and Molecular Genetics, Indiana University School of MedicineSingle-cell RNA sequencing (scRNA-seq) techniques have been very powerful in analyzing heterogeneous cell population and identifying cell types. Visualizing scRNA-seq data can help researchers effectively extract meaningful biological information and make new discoveries. While commonly used scRNA-seq visualization methods, such as t-SNE, are useful in detecting cell clusters, they often tear apart the intrinsic continuous structure in gene expression profiles. Topological Data Analysis (TDA) approaches like Mapper capture the shape of data by representing data as topological networks. TDA approaches are robust to noise and different platforms, while preserving the locality and data continuity. Moreover, instead of analyzing the whole dataset, Mapper allows researchers to explore biological meanings of specific pathways and genes by using different filter functions. In this paper, we applied Mapper to visualize scRNA-seq data. Our method can not only capture the clustering structure of cells, but also preserve the continuous gene expression topologies of cells. We demonstrated that by combining with gene co-expression network analysis, our method can reveal differential expression patterns of gene co-expression modules along the Mapper visualization.