scholarly journals Integrated Single-Cell RNA-Sequencing Analysis of Aquaporin 5-Expressing Mouse Lung Epithelial Cells Identifies GPRC5A as a Novel Validated Type I Cell Surface Marker

Cells ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 2460 ◽  
Author(s):  
Masafumi Horie ◽  
Alessandra Castaldi ◽  
Mitsuhiro Sunohara ◽  
Hongjun Wang ◽  
Yanbin Ji ◽  
...  

Molecular and functional characterization of alveolar epithelial type I (AT1) cells has been challenging due to difficulty in isolating sufficient numbers of viable cells. Here we performed single-cell RNA-sequencing (scRNA-seq) of tdTomato+ cells from lungs of AT1 cell-specific Aqp5-Cre-IRES-DsRed (ACID);R26tdTomato reporter mice. Following enzymatic digestion, CD31-CD45-E-cadherin+tdTomato+ cells were subjected to fluorescence-activated cell sorting (FACS) followed by scRNA-seq. Cell identity was confirmed by immunofluorescence using cell type-specific antibodies. After quality control, 92 cells were analyzed. Most cells expressed ‘conventional’ AT1 cell markers (Aqp5, Pdpn, Hopx, Ager), with heterogeneous expression within this population. The remaining cells expressed AT2, club, basal or ciliated cell markers. Integration with public datasets identified three robust AT1 cell- and lung-enriched genes, Ager, Rtkn2 and Gprc5a, that were conserved across species. GPRC5A co-localized with HOPX and was not expressed in AT2 or airway cells in mouse, rat and human lung. GPRC5A co-localized with AQP5 but not pro-SPC or CC10 in mouse lung epithelial cell cytospins. We enriched mouse AT1 cells to perform molecular phenotyping using scRNA-seq. Further characterization of putative AT1 cell-enriched genes revealed GPRC5A as a conserved AT1 cell surface marker that may be useful for AT1 cell isolation.

2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii406-iii406
Author(s):  
Andrew Donson ◽  
Kent Riemondy ◽  
Sujatha Venkataraman ◽  
Ahmed Gilani ◽  
Bridget Sanford ◽  
...  

Abstract We explored cellular heterogeneity in medulloblastoma using single-cell RNA sequencing (scRNAseq), immunohistochemistry and deconvolution of bulk transcriptomic data. Over 45,000 cells from 31 patients from all main subgroups of medulloblastoma (2 WNT, 10 SHH, 9 GP3, 11 GP4 and 1 GP3/4) were clustered using Harmony alignment to identify conserved subpopulations. Each subgroup contained subpopulations exhibiting mitotic, undifferentiated and neuronal differentiated transcript profiles, corroborating other recent medulloblastoma scRNAseq studies. The magnitude of our present study builds on the findings of existing studies, providing further characterization of conserved neoplastic subpopulations, including identification of a photoreceptor-differentiated subpopulation that was predominantly, but not exclusively, found in GP3 medulloblastoma. Deconvolution of MAGIC transcriptomic cohort data showed that neoplastic subpopulations are associated with major and minor subgroup subdivisions, for example, photoreceptor subpopulation cells are more abundant in GP3-alpha. In both GP3 and GP4, higher proportions of undifferentiated subpopulations is associated with shorter survival and conversely, differentiated subpopulation is associated with longer survival. This scRNAseq dataset also afforded unique insights into the immune landscape of medulloblastoma, and revealed an M2-polarized myeloid subpopulation that was restricted to SHH medulloblastoma. Additionally, we performed scRNAseq on 16,000 cells from genetically engineered mouse (GEM) models of GP3 and SHH medulloblastoma. These models showed a level of fidelity with corresponding human subgroup-specific neoplastic and immune subpopulations. Collectively, our findings advance our understanding of the neoplastic and immune landscape of the main medulloblastoma subgroups in both humans and GEM models.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hao Shen ◽  
Chan Gu ◽  
Tao Liang ◽  
Haifeng Liu ◽  
Fan Guo ◽  
...  

Abstract CD1d-dependent type I NKT cells, which are activated by lipid antigen, are known to play important roles in innate and adaptive immunity, as are a portion of type II NKT cells. However, the heterogeneity of NKT cells, especially NKT-like cells, remains largely unknown. Here, we report the profiling of NKT (NK1.1+CD3e+) cells in livers from wild type (WT), Jα18-deficient and CD1d-deficient mice by single-cell RNA sequencing. Unbiased transcriptional clustering revealed distinct cell subsets. The transcriptomic profiles identified the well-known CD1d-dependent NKT cells and defined two CD1d-independent NKT cell subsets. In addition, validation of marker genes revealed the differential organ distribution and landscape of NKT cell subsets during liver tumor progression. More importantly, we found that CD1d-independent Sca-1−CD62L+ NKT cells showed a strong ability to secrete IFN-γ after costimulation with IL-2, IL-12 and IL-18 in vitro. Collectively, our findings provide a comprehensive characterization of NKT cell heterogeneity and unveil a previously undefined functional NKT cell subset.


2021 ◽  
Author(s):  
Mamatali Rahman ◽  
Zhao-Yan Wang ◽  
Jun-Xiang Li ◽  
Hao-Wei Xu ◽  
Qiong Wu

Abstract Background: Idiopathic pulmonary fibrosis (IPF) is a deadly chronic interstitial lung disease with no effective treatment options other than lung transplantation. Allogeneic adipose-derived mesenchymal stem cells (ADSCs) are considered ideal as seed cells for stem cell-based therapy, and some studies illustrated the therapeutic effect of ADSCs on IPF, but the underlying mechanisms remain unclear.Methods: A single intratracheal dose of bleomycin (BLM) was administered to induce pulmonary injury/fibrosis in C57BL/6 mice, after GFP-labeled mouse ADSCs (mADSCs) were implanted intratracheally to explore their potential therapeutic effects in the inflamed/fibrotic lung microenvironment. The mADSCs were then retrieved through fluorescence-activated cell sorting and subjected to single-cell RNA sequencing (scRNA-seq).Results: Our data indicate that the single-dose intratracheal administration of mADSCs could significantly increase the life span of IPF mice by remodeling the extracellular matrix and promoting the polarization of macrophages to an anti-inflammatory phenotype. Conclusions: A single intratracheal injection of mADSCs alleviated BLM-induced pulmonary fibrosis by readjustment of the mouse lung microenvironment, which was reflected in changes of the lung C1QB+, APOE+ and TREM2+ macrophages in the mouse model.


2021 ◽  
Author(s):  
Xuefei Wang ◽  
Xiangru Shen ◽  
Shan Chen ◽  
Hongyi Liu ◽  
Ni Hong ◽  
...  

AbstractClassic T cell subsets are defined by a small set of cell surface markers, while single cell RNA sequencing (scRNA-seq) clusters cells using genome-wide gene expression profiles. The relationship between scRNA-seq Clustered-Populations (scCPops) and cell surface marker-defined classic T cell subsets remain unclear. Here, we interrogated 6 bead-enriched T cell subsets with 62,235 single cell transcriptomes and re-grouped them into 9 scCPops. Bead-enriched CD4 Naïve and CD8 Naïve were mainly clustered into their scCPop counterparts, while cells from the other T cell subsets were assigned to multiple scCPops including mucosal-associated invariant T cells and natural killer T cells. The multiple T cell subsets that form a single scCPop exhibited similar expression pattern, but not vice versa, indicating scCPops are much homogeneous cell populations with similar cell states. Interestingly, we discovered and named IFNhi T, a new T cell subpopulation that highly expressed Interferon Signaling Associated Genes (ISAGs). We further enriched IFNhi T by FACS sorting of BST2 for scRNA-seq analyses. IFNhi T cluster disappeared on tSNE plot after removing ISAGs, while IFNhi T cluster showed up by tSNE analyses of ISAGs alone, indicating ISAGs are the major contributor of IFNhi T cluster. BST2+ T cells and BST2− T cells showing different efficiencies of T cell activation indicates high level of ISAGs may contribute to quick immune responses.


2019 ◽  
Author(s):  
Aziz Al’Khafaji ◽  
Catherine Gutierrez ◽  
Eric Brenner ◽  
Russell Durrett ◽  
Kaitlyn E. Johnson ◽  
...  

AbstractThe remarkable evolutionary capacity of cancer is a major challenge to current therapeutic efforts. Fueling this evolution is its vast clonal heterogeneity and ability to adapt to diverse selective pressures. Although the genetic and transcriptional mechanisms underlying these responses have been independently evaluated, the ability to couple genetic alterations present within individual clones to their respective transcriptional or functional outputs has been lacking in the field. To this end, we developed a high-complexity expressed barcode library that integrates DNA barcoding with single-cell RNA sequencing through use of the CROP-seq sgRNA expression/capture system, and which is compatible with the COLBERT clonal isolation workflow for subsequent genomic and epigenomic characterization of specific clones of interest. We applied this approach to study chronic lymphocytic leukemia (CLL), a mature B cell malignancy notable for its genetic and transcriptomic heterogeneity and variable disease course. Here, we demonstrate the clonal composition and gene expression states of HG3, a CLL cell line harboring the common alteration del(13q), in response to front-line cytotoxic therapy of fludarabine and mafosfamide (an analog of the clinically used cyclophosphamide). Analysis of clonal abundance and clonally-resolved single-cell RNA sequencing revealed that only a small fraction of clones consistently survived therapy. These rare highly drug tolerant clones comprise 94% of the post-treatment population and share a stable, pre-existing gene expression state characterized by upregulation of CXCR4 and WNT signaling and a number of DNA damage and cell survival genes. Taken together, these data demonstrate at unprecedented resolution the diverse clonal characteristics and therapeutic responses of a heterogeneous cancer cell population. Further, this approach provides a template for the high-resolution study of thousands of clones and the respective gene expression states underlying their response to therapy.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 800-800
Author(s):  
Jens G Lohr ◽  
Sora Kim ◽  
Joshua Gould ◽  
Birgit Knoechel ◽  
Yotam Drier ◽  
...  

Abstract Continuous genomic evolution has been a major limitation to curative treatment of multiple myeloma (MM). Frequent monitoring of the genetic heterogeneity in MM from blood, rather than serial bone marrow (BM) biopsies, would therefore be desirable. We hypothesized that genomic characterization of circulating MM cells (CMMCs) recapitulates the genetics of MM in BM biopsies, enables MM classification, and is feasible in the majority of MM patients with active disease. Methods: To test these hypotheses, we developed a method to enrich, purify and isolate single CMMCs with a sensitivity of at least 1:10(5). We then performed DNA- and RNA-sequencing of single CMMCs and compared them to single BM-derived MM cells. We determined CMMC numbers in 24 randomly selected MM patient samples and compared them to numbers of circulating MM cells obtained by flow cytometry. We performed single-cell whole genome amplification of single cells from 10 MM patients, and targeted sequencing of the 35 most recurrently mutated loci in MM. A total of 568 single primary cells representing CMMCs, BM MM cells, CD19+ B lymphocytes, CD45+CD138- WBC from these patients were subjected to DNA-sequencing. By processing 80 single cells from four MM cell lines with known mutations we determined the mean sensitivity of mutation detection in single cells to be 93 ± 9%. In addition to DNA-sequencing we also isolated 57 single MM cells from the BM and peripheral blood of two MM patients and performed whole transcriptome single cell RNA-sequencing. Results: In 24 randomly selected MM patient samples we detected >12 CMMCs per 1ml of blood in all 24 patients. In comparison, by flow cytometry, we detected ≥10 CMMCs per 10(5) white blood cells in 10/24 cases (42%), ≥1 CMMC but ≤ 10 CMMCs in 13/24 cases (54%), and < 1 CTCs in 1/24 patients (4%). Mutational analysis of 35 recurrently mutated loci in 335 high quality single MM cells from the blood and BM of 10 patients, including one MGUS patient, revealed the presence of a total of 12 mutations (in KRAS, NRAS, BRAF, IRF4 and TP53). All targeted mutations that were detected by clinical-grade genotyping of bulk BM were also detected in single cell analysis of CMMCs. While in most patients, the fraction of mutated single cells was similar between blood and BM, in three patients, the proportion of MM cells harboring TP53 R273C, BRAF G469A and NRAS G13D mutations was significantly higher in the blood than in the BM, suggesting a different clonal composition. We developed an analytical model to predict whether a genetic locus underwent loss of heterozygosity, using the distribution of known allelic fractions of previously described mutations in MM cell lines as a benchmark. In two patients who simultaneously harbored two mutations, we predicted a BRAF G469E and a KRAS G12C mutation to be heterozygous, whereas the loci harboring a TP53 R273C and a TP53 R280T mutation were predicted to be associated with LOH with high statistical confidence. Whole transcriptome single cell RNA-sequencing of 57 MM cells from the BM and peripheral blood of two patients showed >3,700 transcripts per cell. Single-cell RNA-sequencing allowed for a clear distinction between normal plasma cells and MM cells, either based on analysis of CD45, CD27, and CD56 alone, or by unsupervised hierarchical clustering of detected transcripts in single cells. In addition, single cell CMMC expression analysis could be used to infer the existence of key MM chromosomal translocations. For example, CCND1 and CCND3 were highly upregulated in single MM cells from the blood and BM of two patients, whose MM was found by FISH analysis to harbor a t(11;14) and a t(6;14) translocation, respectively. Conclusion: We demonstrate that extensive genomic characterization of MM is feasible from very small numbers of CMMCs with single cell resolution. Interrogation of single CMMCs faithfully reproduces the pattern of somatic mutations present in MM in the BM, identifies actionable oncogenes, and reveals if somatic mutated loci underwent loss of heterozygosity. Single CMMCs also reveal mutations that are not detectable in the BM either by single cell sequencing or clinical grade bulk sequencing. Single cell RNA-sequencing of CMMCs provides robust transcriptomic profiling, allowing for class-differentiation and inference of translocations in MM patients. Disclosures Raje: Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Research Funding; Eli Lilly: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2724-2724
Author(s):  
Mira Jeong ◽  
Sangbae Kim ◽  
Yumei Li ◽  
Rui Chen ◽  
Premal Lulla ◽  
...  

Acute Myeloid Leukemia (AML) is a clonal disease of the hematopoietic system that initiated and sustained by self-renewing hematopoietic stem and progenitor cells (HSPC). Mutations in the de novo DNA methyltransferase 3A (DNMT3A) gene occur in approximately 25% of adult acute myeloid leukemias (AML). Although the mechanisms through which such mutations promote leukemogenesis remain unclear, we have previously shown that loss of the DNMT3A can inhibit normal hematopoietic differentiation (Challen, Nature Genetics, 2011), accounting for the emergence of DNMT3A-HSC clones as a predisposition to hematological malignancies (Yang, Cancer Cell, 2015). Therapies that selectively eliminate the initiating pre-leukemic population would greatly improve outcomes for affected patients. However, the identification as well as selective elimination of such a distinct population has been problematic because of the considerable overlap in gene expression profiles with bulk normal hematopoietic stem cells. Molecular targets during leukemia development have not been well elucidated due to lack of the real definitive markers, which is a significant knowledge gap and barrier for understanding clonal leukemogenesis and therapeutic applications. Single-cell RNA sequencing has emerged as a powerful tool to analyze new cell types, cellular heterogeneity and cell differentiation routes. This technique made important contributions to our understanding of hematopoietic stem and cancer cell heterogeneity and selective resistance of cancer cell subpopulations to molecularly targeted cancer therapies. To identify early events involved in pre-leukemic transformation, we have performed single-cell RNA-sequencing (scRNA-seq) in WT and Dnmt3a KO mice. Flow cytometry sorted wild-type and pre-leukemic Dnmt3a KO HSPC cells were captured using 10X genomics chromium platform. After genome mapping, dimensional reduction, and clustering using Cell ranger pipeline, we generated transcriptome data and integrated the data sets using Seurat. Approximately 8,000 cells from each group were sequenced, and each cell expressed 1800-4500 genes. Graph-based clustering analysis revealed 16 unique cell clusters in both WT and DNMT3A KO mice. Interestingly, when compared with WT mice, we observed a 10-fold expansion of a single cell cluster in Dnmt3a KO cells before the advent of overt leukemia. This cluster co-expresses several stem cell genes including well-known leukemic stem cell surface markers such as CD47, as well as several novel genes. Some of these novel genes, encode cell surface proteins such as Ly6c2 and Ly86. We further validated protein expressions in AML cell lines and primary AML blast. In conclusion, the discovery of novel cluster in DNMT3A KO mice, and the relative abundance of this cluster in pre-leukemic stage of DNMT3A KO mice indicates that they promote leukemogenesis and offers an opportunity to specifically target DNMT3A mutant pre-leukemic cells using T cell immunotherapy. Disclosures No relevant conflicts of interest to declare.


2015 ◽  
Vol 112 (23) ◽  
pp. 7285-7290 ◽  
Author(s):  
Spyros Darmanis ◽  
Steven A. Sloan ◽  
Ye Zhang ◽  
Martin Enge ◽  
Christine Caneda ◽  
...  

The human brain is a tissue of vast complexity in terms of the cell types it comprises. Conventional approaches to classifying cell types in the human brain at single cell resolution have been limited to exploring relatively few markers and therefore have provided a limited molecular characterization of any given cell type. We used single cell RNA sequencing on 466 cells to capture the cellular complexity of the adult and fetal human brain at a whole transcriptome level. Healthy adult temporal lobe tissue was obtained during surgical procedures where otherwise normal tissue was removed to gain access to deeper hippocampal pathology in patients with medical refractory seizures. We were able to classify individual cells into all of the major neuronal, glial, and vascular cell types in the brain. We were able to divide neurons into individual communities and show that these communities preserve the categorization of interneuron subtypes that is typically observed with the use of classic interneuron markers. We then used single cell RNA sequencing on fetal human cortical neurons to identify genes that are differentially expressed between fetal and adult neurons and those genes that display an expression gradient that reflects the transition between replicating and quiescent fetal neuronal populations. Finally, we observed the expression of major histocompatibility complex type I genes in a subset of adult neurons, but not fetal neurons. The work presented here demonstrates the applicability of single cell RNA sequencing on the study of the adult human brain and constitutes a first step toward a comprehensive cellular atlas of the human brain.


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