scholarly journals Single cell transcriptional profiling reveals cellular diversity, communication, and sexual dimorphism in the mouse heart

2017 ◽  
Author(s):  
Daniel A. Skelly ◽  
Galen T. Squiers ◽  
Micheal A. McLellan ◽  
Mohan T. Bolisetty ◽  
Paul Robson ◽  
...  

INTRODUCTORY PARAGRAPHCharacterization of the cardiac cellulome—the network of cells that form the heart—is essential for understanding cardiac development and normal organ function, and for formulating precise therapeutic strategies to combat heart disease. Recent studies have challenged assumptions about both the cellular composition1 and functional significance of the cardiac non-myocyte cell pool, with unexpected roles identified for resident fibroblasts2 and immune cell populations3,4. In this study, we characterized single-cell transcriptional profiles of the murine non-myocyte cardiac cellular landscape using single-cell RNA sequencing (scRNA-Seq). Detailed molecular analyses revealed the diversity of the cardiac cellulome and facilitated the development of novel techniques to isolate understudied cardiac cell populations such as mural cells and glia. Our analyses also revealed networks of intercellular communication as well as extensive sexual dimorphism in gene expression in the heart, most notably demonstrated by the upregulation of immune-sensing and pro-inflammatory genes in male cardiac macrophages. This study offers new insights into the structure and function of the mammalian cardiac cellulome and provides an important resource that will stimulate new studies in cardiac cell biology.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4294-4294
Author(s):  
Sara A. Rubin ◽  
Chloé S. Baron ◽  
Alexandra F. Corbin ◽  
Song Yang ◽  
Leonard I. Zon

Abstract The advent of single-cell RNA sequencing (scRNA-seq) has greatly expanded our appreciation for cell state diversity beyond classical developmental hierarchies and simple population subsets. In particular, rich transcriptional heterogeneity has been observed within immune cell populations leading to the identification of novel cell types. Except for a few notable exceptions, intensive work in this area has largely been confined to mammals. Much of the transcriptional profiling of blood cell development in zebrafish has failed to capture early stages of lymphocyte development as the majority of research has not included thymus datasets or captured sufficient marrow B cells to explore developmental trajectories. To gain insight into T and B cell development in the zebrafish and immune cell diversity more broadly, we performed scRNA-seq using 10x Genomics Next GEM technology on adult zebrafish kidney marrows (n = 5 biological replicates) in addition to whole juvenile thymi at 4 weeks post-fertilization (wpf) (n = 4 technical replicates) and whole adult thymi at 3-4 months post-fertilization (n = 4 biological replicates). After filtering out low quality cellular barcodes, 34,492 kidney marrow cells and 35,268 thymus cells remained for analysis. With respect to T cell development, we identified putative early thymic progenitors from their clustering with hematopoietic stem and progenitor cells and shared transcriptional signatures, including the enrichment of CD34, CSF1R, FLI1, and DNMT3B human orthologs. Multiple subsets of thymic and marrow T cells were characterized, including a subset of gamma delta T cells readily identified by their expression of T-cell receptor gamma and delta chain components and expression of a SOX13 ortholog in addition to a Th2-like population expressing IL4, IL13, and GATA3 orthologs. Among other immune cell populations, rich transcriptional diversity was present. Two distinct populations of B cells, largely mutually exclusive for ighd and ighz expression (dual detection <1%), were present across all datasets, including the 4 wpf thymi, a surprisingly early time point in zebrafish B cell ontogeny. A clustering of the adult datasets demonstrated ighz predominance in the thymus (63% of thymic B cells), whereas the majority of marrow B cells (85%) fell within the ighd cluster. Stages of B cell development were also clearly evident, with the earliest B cell progenitors expressing orthologs of human PAX5, DNTT, RAG1, and RAG2, in addition to sid1, an understudied gene proposed to be orthologous to VPREB1. The expression of dntt was notably absent from more mature subsets of rag1 and rag2+ B cell progenitors, analogous to its expression in mammals. Transcriptional signatures unique but reminiscent of mammalian dendritic cell subsets were identified: Plasmacytoid-like dendritic cells characterized by high expression of TLR7, TLR9, and IRF8 orthologs and conventional-like dendritic cells characterized by high expression of CKB, BATF3, and ZNF366 were present in both marrow and thymus datasets, suggestive of greater dendritic-like cell diversity in the zebrafish than previously appreciated. These findings illustrate the power of single-cell transcriptional profiling for illuminating immune cell development and heterogeneity in the zebrafish, demonstrating increasing parallels to the mammalian system. Disclosures Zon: Celularity: Consultancy; Branch Biosciences: Current holder of individual stocks in a privately-held company, Other: Founder; Scholar Rock: Current equity holder in publicly-traded company, Other: Founder; Amagma Therapeutics: Current holder of individual stocks in a privately-held company, Other: Founder; CAMP4 Therapeutics: Current holder of individual stocks in a privately-held company, Other: Founder; Fate Therapeutics: Current equity holder in publicly-traded company, Other: Founder; Cellarity: Consultancy.


Author(s):  
Yu Zhao ◽  
Ulf Panzer ◽  
Stefan Bonn ◽  
Christian F. Krebs

AbstractSingle-cell biology is transforming the ability of researchers to understand cellular signaling and identity across medical and biological disciplines. Especially for immune-mediated diseases, a single-cell look at immune cell subtypes, signaling, and activity might yield fundamental insights into the disease etiology, mechanisms, and potential therapeutic interventions. In this review, we highlight recent advances in the field of single-cell RNA profiling and their application to understand renal function in health and disease. With a focus on the immune system, in particular on T cells, we propose some key directions of understanding renal inflammation using single-cell approaches. We detail the benefits and shortcomings of the various technological approaches outlined and give advice on potential pitfalls and challenges in experimental setup and computational analysis. Finally, we conclude with a brief outlook into a promising future for single-cell technologies to elucidate kidney function.


2021 ◽  
Vol 10 (3) ◽  
pp. 506
Author(s):  
Hans Binder ◽  
Maria Schmidt ◽  
Henry Loeffler-Wirth ◽  
Lena Suenke Mortensen ◽  
Manfred Kunz

Cellular heterogeneity is regarded as a major factor for treatment response and resistance in a variety of malignant tumors, including malignant melanoma. More recent developments of single-cell sequencing technology provided deeper insights into this phenomenon. Single-cell data were used to identify prognostic subtypes of melanoma tumors, with a special emphasis on immune cells and fibroblasts in the tumor microenvironment. Moreover, treatment resistance to checkpoint inhibitor therapy has been shown to be associated with a set of differentially expressed immune cell signatures unraveling new targetable intracellular signaling pathways. Characterization of T cell states under checkpoint inhibitor treatment showed that exhausted CD8+ T cell types in melanoma lesions still have a high proliferative index. Other studies identified treatment resistance mechanisms to targeted treatment against the mutated BRAF serine/threonine protein kinase including repression of the melanoma differentiation gene microphthalmia-associated transcription factor (MITF) and induction of AXL receptor tyrosine kinase. Interestingly, treatment resistance mechanisms not only included selection processes of pre-existing subclones but also transition between different states of gene expression. Taken together, single-cell technology has provided deeper insights into melanoma biology and has put forward our understanding of the role of tumor heterogeneity and transcriptional plasticity, which may impact on innovative clinical trial designs and experimental approaches.


2018 ◽  
Vol 9 ◽  
Author(s):  
Akira Nguyen ◽  
Weng Hua Khoo ◽  
Imogen Moran ◽  
Peter I. Croucher ◽  
Tri Giang Phan

2021 ◽  
Vol 12 ◽  
Author(s):  
Lixing Huang ◽  
Ying Qiao ◽  
Wei Xu ◽  
Linfeng Gong ◽  
Rongchao He ◽  
...  

Fish is considered as a supreme model for clarifying the evolution and regulatory mechanism of vertebrate immunity. However, the knowledge of distinct immune cell populations in fish is still limited, and further development of techniques advancing the identification of fish immune cell populations and their functions are required. Single cell RNA-seq (scRNA-seq) has provided a new approach for effective in-depth identification and characterization of cell subpopulations. Current approaches for scRNA-seq data analysis usually rely on comparison with a reference genome and hence are not suited for samples without any reference genome, which is currently very common in fish research. Here, we present an alternative, i.e. scRNA-seq data analysis with a full-length transcriptome as a reference, and evaluate this approach on samples from Epinephelus coioides-a teleost without any published genome. We show that it reconstructs well most of the present transcripts in the scRNA-seq data achieving a sensitivity equivalent to approaches relying on genome alignments of related species. Based on cell heterogeneity and known markers, we characterized four cell types: T cells, B cells, monocytes/macrophages (Mo/MΦ) and NCC (non-specific cytotoxic cells). Further analysis indicated the presence of two subsets of Mo/MΦ including M1 and M2 type, as well as four subsets in B cells, i.e. mature B cells, immature B cells, pre B cells and early-pre B cells. Our research will provide new clues for understanding biological characteristics, development and function of immune cell populations of teleost. Furthermore, our approach provides a reliable alternative for scRNA-seq data analysis in teleost for which no reference genome is currently available.


Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4885
Author(s):  
Christine M. Pauken ◽  
Shelby Ray Kenney ◽  
Kathryn J. Brayer ◽  
Yan Guo ◽  
Ursa A. Brown-Glaberman ◽  
...  

Fatal metastasis occurs when circulating tumor cells (CTCs) disperse through the blood to initiate a new tumor at specific sites distant from the primary tumor. CTCs have been classically defined as nucleated cells positive for epithelial cell adhesion molecule and select cytokeratins (EpCAM/CK/DAPI), while negative for the common lymphocyte marker CD45. The enumeration of CTCs allows an estimation of the overall metastatic burden in breast cancer patients, but challenges regarding CTC heterogeneity and metastatic propensities persist, and their decryption could improve therapies. CTCs from metastatic breast cancer (mBC) patients were captured using the RareCyteTM Cytefinder II platform. The Lin− and Lin+ (CD45+) cell populations isolated from the blood of three of these mBC patients were analyzed by single-cell transcriptomic methods, which identified a variety of immune cell populations and a cluster of cells with a distinct gene expression signature, which includes both cells expressing EpCAM/CK (“classic” CTCs) and cells possessing an array of genes not previously associated with CTCs. This study put forward notions that the identification of these genes and their interactions will promote novel areas of analysis by dissecting properties underlying CTC survival, proliferation, and interaction with circulatory immune cells. It improves upon capabilities to measure and interfere with CTCs for impactful therapeutic interventions.


2021 ◽  
Vol 23 (Supplement_1) ◽  
pp. i22-i22
Author(s):  
John DeSisto ◽  
Andrew Donson ◽  
Rui Fu ◽  
Bridget Sanford ◽  
Kent Riemondy ◽  
...  

Abstract Background Pediatric high-grade glioma (PHGG) is a deadly childhood brain tumor that responds poorly to treatment. PHGG comprises two major subtypes: cortical tumors with wild-type H3K27 and diffuse midline gliomas (DMG) that occur in the midline and have characteristic H3K27M mutations. Cortical PHGG is heterogeneous with multiple molecular subtypes. In order to identify underlying commonalities in cortical PHGG that might lead to better treatment modalities, we performed molecular profiling, including single-cell RNA-Seq (scRNA-Seq), on PHGG samples from Children’s Hospital Colorado. Methods Nineteen cortical PHGG tumor samples, one DMG and one normal margin sample obtained at biopsy were disaggregated to isolate viable cells. Fifteen were glioblastomas (GBM), including five with epithelioid and/or giant cell features and five radiation-induced glioblastomas (RIG). There were also four non-GBM PHGG. We performed scRNA-Seq using 10X Genomics v.3 library preparation to enable capture of infiltrating immune cells. We also performed bulk RNA-Seq and DNA methylation profiling. Results After eliminating patient-specific and cell-cycle effects, RIG, epithelioid GBM, and other GBM each formed identifiable subgroups in bulk RNA-Seq and scRNA-Seq datasets. In the scRNA-Seq data, clusters with cells from multiple tumor samples included a PDGFRA-positive population expressing oligodendrocyte progenitor markers, astrocytic, mesenchymal and stemlike populations, macrophage/monocyte immune cells, and a smaller T-cell population. Analyses of DNA methylation data showed PDGFRA and CDK4 amplification and CDKN2A deletion are common alterations among PHGG. Inferred copy number variation analysis of the single-cell data confirmed that individual tumors include populations that both include and lack the molecular alterations identified in the methylation data. RNA velocity studies to define tumor cells of origin and further analyses of the immune cell populations are underway. Conclusions Single-cell analysis of PHGG confirms a large degree of tumor heterogeneity but also shows that PHGG have stemlike, mesenchymal and immune cell populations with common characteristics.


Cell Reports ◽  
2018 ◽  
Vol 22 (3) ◽  
pp. 600-610 ◽  
Author(s):  
Daniel A. Skelly ◽  
Galen T. Squiers ◽  
Micheal A. McLellan ◽  
Mohan T. Bolisetty ◽  
Paul Robson ◽  
...  

Science ◽  
2021 ◽  
pp. eabb2986
Author(s):  
Richard C. V. Tyser ◽  
Ximena Ibarra-Soria ◽  
Katie McDole ◽  
Satish A. Jayaram ◽  
Jonathan Godwin ◽  
...  

The mammalian heart is derived from multiple cell lineages; however, our understanding of when and how the diverse cardiac cell types arise is limited. We mapped the origin of the embryonic mouse heart at single-cell resolution using a combination of transcriptomic, imaging, and genetic lineage labeling approaches. This provided a transcriptional and anatomic definition of cardiac progenitor types. Furthermore, it revealed a cardiac progenitor pool that is anatomically and transcriptionally distinct from currently known cardiac progenitors. Besides contributing to cardiomyocytes, these cells also represent the earliest progenitor of the epicardium, a source of trophic factors and cells during cardiac development and injury. This study provides detailed insights into the formation of early cardiac cell types, with particular relevance to the development of cell-based cardiac regenerative therapies.


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