scholarly journals Hematopoiesis at single cell resolution spanning human development and maturation

2021 ◽  
Author(s):  
Hojun Li ◽  
Jideofor Ezike ◽  
Anton Afanassiev ◽  
Laura Greenstreet ◽  
Stephen Y Zhang ◽  
...  

Hematopoiesis is a process of constitutive regeneration whereby hematopoietic stem and progenitor cells (HSPCs) replenish mature blood cells. During maturation and aging, HSPCs shift their output to support the demands of prenatal development and postnatal maturation both at homeostasis and in response to stress. How HSPC ontogeny changes throughout life is unknown; studies to date have largely focused on specific individual ages, particularly at single cell resolution. Here, we performed single cell RNA-seq of human HSPCs from early prenatal development into mature adulthood. We observed shifts in HSPC transcriptional states and differentiation trajectories over time. We identified age-specific gene expression patterns throughout human maturation and developed methods for identifying, prospectively purifying, and functionally validating age-specific HSC states. Together, our findings define the temporal maturation of human HSPCs and uncover principles applicable to age-biased blood diseases.

Blood ◽  
2017 ◽  
Vol 130 (25) ◽  
pp. 2762-2773 ◽  
Author(s):  
Xin Zhao ◽  
Shouguo Gao ◽  
Zhijie Wu ◽  
Sachiko Kajigaya ◽  
Xingmin Feng ◽  
...  

Key Points We distinguished aneuploid cells from diploid cells within the hematopoietic stem and progenitor cells using scRNA-seq. Monosomy 7 cells showed downregulated pathways involved in immune response and maintenance of DNA stability.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Momoko Hamano ◽  
Seitaro Nomura ◽  
Midori Iida ◽  
Issei Komuro ◽  
Yoshihiro Yamanishi

AbstractHeart failure is a heterogeneous disease with multiple risk factors and various pathophysiological types, which makes it difficult to understand the molecular mechanisms involved. In this study, we proposed a trans-omics approach for predicting molecular pathological mechanisms of heart failure and identifying marker genes to distinguish heterogeneous phenotypes, by integrating multiple omics data including single-cell RNA-seq, ChIP-seq, and gene interactome data. We detected a significant increase in the expression level of natriuretic peptide A (Nppa), after stress loading with transverse aortic constriction (TAC), and showed that cardiomyocytes with high Nppa expression displayed specific gene expression patterns. Multiple NADH ubiquinone complex family, which are associated with the mitochondrial electron transport system, were negatively correlated with Nppa expression during the early stages of cardiac hypertrophy. Large-scale ChIP-seq data analysis showed that Nkx2-5 and Gtf2b were transcription factors characteristic of high-Nppa-expressing cardiomyocytes. Nppa expression levels may, therefore, represent a useful diagnostic marker for heart failure.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A753-A754
Author(s):  
Jingfei Chen ◽  
Jialei Duan ◽  
Alina Montalbano ◽  
Boxun Li ◽  
Gary Hon ◽  
...  

Abstract Single-cell RNA-seq of Mouse Decidual Leukocytes Reveals Intriguing Gestational Changes in the Immune Cell Landscape and Effects of SRC-1/-2 Double-DeficiencyOur previous findings suggest that the fetus signals the mother when it is ready to be born through secretion of surfactant components/immune modulators, surfactant protein A (SP-A) and platelet-activating factor (PAF) by the fetal lung into amniotic fluid (AF). This occurs with increased proinflammatory cytokine expression by fetal AF macrophages (Mϕ), increased myometrial NF-κB activation and contractile (CAP) gene expression. Steroid receptor coactivator (Src)-1 and Src-2 are critical for developmental induction SP-A and PAF by the fetal lung. The finding that pregnant wild-type (WT) mice carrying Src-1 and Src-2 double-deficient fetuses (Src-1/-2d/d) manifested a marked delay (~38h) in parturition, further suggests that signals for parturition arise from the fetus and that Src-1 and Src-2 serve a critical role. Infiltrating leukocytes at the maternal-fetal interface (MFI)/decidua are known to play a central role in pregnancy maintenance and parturition timing. However, there is limited knowledge regarding gestational changes in immune cell composition toward term. To analyze gestational changes in the composition of immune cells within decidua and effects of Src-1/-2d/d, we conducted single-cell RNA-seq of ~17,000 decidual leukocytes (CD45+) from pregnant mice at 15.5 and 18.5 dpc carrying WT or Src-1/-2d/d fetuses. Unsupervised clustering identified 22 distinct decidual immune cell clusters, comprised of Mϕ, B cells, natural killer cells, neutrophils, dendritic cells and monocytes. Significant differences in cell type composition and transcriptional profiles were found across study groups (WT @ 15.5 dpc vs. 18.5 dpc; Src-1/-2d/dvs. WT @15.5 dpc and 18.5 dpc). Interestingly, in deciduas of pregnant mice carrying WT fetuses, Mϕ and B cell clusters markedly increased between 15.5 and 18.5 dpc, whereas, neutrophils declined; however, these gestational changes did not occur in pregnant mice carrying Src-1/-2d/d fetuses. Differential gene expression and gene ontology enrichment analyses revealed specific gene expression patterns distinguishing these immune cell subtypes to uncover their putative functions. These findings highlight the complexity and dynamics of the decidual immune cell landscape during the transition from myometrial quiescence to contractility, and the fetal-maternal interactions leading to parturition. Support: NIH grants R01-HL050022 (CRM) and P01-HD087150 (CRM), Burroughs Wellcome Preterm Birth Grant #1019823 (CRM).


2017 ◽  
Author(s):  
Garth R. Ilsley ◽  
Ritsuko Suyama ◽  
Takeshi Noda ◽  
Nori Satoh ◽  
Nicholas M. Luscombe

AbstractSingle-cell RNA-seq has been established as a reliable and accessible technique enabling new types of analyses, such as identifying cell types and studying spatial and temporal gene expression variation and change at single-cell resolution. Recently, single-cell RNA-seq has been applied to developing embryos, which offers great potential for finding and characterising genes controlling the course of development along with their expression patterns. In this study, we applied single-cell RNA-seq to the 16-cell stage of the Ciona embryo, a marine chordate and performed a computational search for cell-specific gene expression patterns. We recovered many known expression patterns from our single-cell RNA-seq data and despite extensive previous screens, we succeeded in finding new cell-specific patterns, which we validated by in situ and single-cell qPCR.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3707-3707
Author(s):  
Adedamola Elujoba-Bridenstine ◽  
Lijian Shao ◽  
Katherine Zink ◽  
Laura Sanchez ◽  
Brian Cox ◽  
...  

Hematopoietic stem and progenitor cells (HSPCs) have multi-lineage potential and can be used in transplants as a curative treatment for various hematopoietic diseases. HSPC function and behavior is tightly regulated by various cell types and factors in the bone marrow niche. One level of regulation comes from the sympathetic nervous system that innervates the niche and releases neurotransmitters to stromal cells. However, the direct regulation of HSPCs via cell surface expression of neural receptors has not been functionally explored. Using imaging mass spectrometry, we detected strong and regionally specific gamma-aminobutyric acid (GABA) neurotransmitter signal in the endosteal region of mouse bone marrow. GABBR1 is known to be expressed on human HSPCs (Steidl et al., Blood 2004), however its function in their regulation has not been investigated. Based on published mouse HSPC single cell RNA-seq data (Nestorowa et al., Blood 2016), we found that a subset of HSPCs expressed the GABA type B receptor subunit 1 (Gabbr1). We confirmed by surface receptor expression that a subset of mouse bone marrow HSPCs express Gabbr1 protein. Using the same single cell RNA-seq data as above, our own gene set enrichment analysis (GSEA) revealed positive correlation of Gabbr1 expression with genes involved in immune system processes, such as response to type I interferons. We generated a CRISPR-Cas9 Gabbr1 mutant mouse model on a C57/BL6 background suitable for hematopoietic studies. Analysis of Gabbr1 mutant bone marrow cells revealed a reduction in the absolute number of Lin-Sca1+cKit+ (LSK) HSPCs, but no change in the number of long-term hematopoietic stem cells (LT-HSCs). With further hematopoietic profiling, we discovered reduced numbers of white blood cells in peripheral blood that was primarily due to fewer B220+ cells. We show that Gabbr1 null HSPCs display reduced proliferative capacity, as well as diminished reconstitution ability when transplanted in a competitive setting. An in vitro differentiation assay revealed the impaired ability of Gabbr1 null HSPCs to produce B cell lineages. We tested our predicted association with type I interferon response by administration of poly(I:C) and found reduced HSPC proliferation in Gabbr1 null mice. Our results may translate well to humans, as a rare human SNP within the GABBR1 locus was found that correlates with altered leukocyte counts (Astle et al., Cell 2016). Our results indicate an important role for Gabbr1 in the regulation of HSPC proliferation and differentiation, highlighting Gabbr1 as an emerging factor in the modulation of HSPC function and behavior. Disclosures No relevant conflicts of interest to declare.


2018 ◽  
Author(s):  
Michael L. Mucenski ◽  
Robert Mahoney ◽  
Mike Adam ◽  
Andrew S. Potter ◽  
S. Steven Potter

AbstractThe uterus is a remarkable organ that must guard against infections while maintaining the ability to support growth of a fetus without rejection. The Hoxa10 and Hoxa11 genes have previously been shown to play essential roles in uterus development and function. In this report we show that the Hoxc9,10,11 genes play a redundant role in the formation of uterine glands. In addition, we use single cell RNA-seq to create a high resolution gene expression atlas of the developing wild type mouse uterus. Cell types and subtypes are defined, for example dividing endothelial cells into arterial, venous, capillary, and lymphatic, while epithelial cells separate into luminal and glandular subtypes. Further, a surprising heterogeneity of stromal and myocyte cell types are identified. Transcription factor codes and ligand/receptor interactions are characterized. We also used single cell RNA-seq to globally define the altered gene expression patterns in all developing uterus cell types for two Hox mutants, with 8 or 9 mutant Hox genes. The mutants show a striking disruption of Wnt signaling as well as the Cxcl12/Cxcr4 ligand/receptor axis.Summary statementA single cell RNA-seq study of the developing mouse uterus defines cellular heterogeneities, lineage specific gene expression programs and perturbed pathways in Hox9,10,11 mutants.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2518-2518
Author(s):  
Brianna Craver ◽  
Quy Nguyen ◽  
Gajalakshmi Ramanathan ◽  
Angela G. Fleischman

Somatic mutations in hematopoietic stem and progenitor cells (HSPCs) leading to constitutive activation of thrombopoietin receptor signaling result in myeloproliferative neoplasms (MPN). The most common mutation found in MPN patients occurs in the Janus kinase 2 gene (JAK2V617F). We have previously found that JAK2V617F hematopoietic progenitors are resistant to tumor necrosis factor alpha (TNFα), however this mechanism is not well defined. We hypothesize that resistance to TNFα in JAK2V617F hematopoietic stem and progenitors is a driver of the competitive advantage over non-malignant clones. Here, we used droplet-based single-cell RNA-sequencing to investigate transcriptional profiling in primary human HSPCs. First, we harvested white blood cells from fresh bone marrow aspirates from one MPN patient (Polycythemia Vera with 71% JAK2V617F allele burden) as well as one unaffected individual then sorted Lin-/CD34+/CD38- hematopoietic progenitors. Immediately following sorting, half of the cells were stimulated with TNFα for 4 hours while the other half of cells were used as unstimulated controls. We then utilized the 10X Chromium platform to generate single-cell droplets for the 8,129 total cells from the unaffected individual and 33,299 total cells from the MPN patient. We ran alignment using the CellRanger pipeline then performed analysis using the Seurat package in R. Expression profiles of untreated HSPCs in both normal and MPN cells revealed high expression of genes involved in important pathways for hematopoiesis (Polycomb repressive complexes, chromatin regulation, the ubiquitin proteasome system etc.). Expression of CD34 was confirmed in both MPN and non-MPN cells, though CD34 expression was reduced following TNFα stimulation. Expression of stem (i.e. THY1, ITGA6) and progenitor (i.e. PTPRC) genes were detected within both individuals, which highlights the heterogeneity within Lineage-/CD34+/CD38- cells. Following stimulation with TNFα, we observed expression of genes in canonical pathways downstream of TNF including NF-κB, Mitogen-Activated Protein Kinase (MAPK), and Transforming Growth Factor Beta (TGFβ). Indeed, we observed a baseline level of expression of TGFβ-related genes in both normal and MPN cells. Upon inflammatory stimulation, normal HSPCs upregulated SMAD expression which are involved in the TGFβ pathway. Strikingly, we did not observe an increase in SMAD expression in MPN cells following TNF. This suggests a dampened response via the TGFβ pathway to TNF in MPN cells. Additionally, we found that TNF-stimulated HPSCs from the unaffected individual expressed canonical genes of the TNF pathway that encode for chemokines, cytokines, transcription factors and negative feedback regulators. In normal TNF-stimulated cells, we identified highly expressed genes involved in the caspase cascade, suggesting a robust apoptotic response in normal HPSCs. However, there was a lower expression of caspases in stimulated MPN cells, suggesting a dampened apoptotic response to TNF. One observation that was unique to TNF-stimulated cells from the MPN individual was the expression of glycoproteins involved in angiogenesis and platelet aggregation. Taken together, these data serve as a proof of principle for transcriptional profiling of primary human hematopoietic stem and progenitor cells and that this cell population rapidly and robustly alter their gene expression program upon TNFα stimulation. In conclusion, we show that HSPCs from an MPN patient exhibit a dampened response to TNF compared to normal HSPCs. Specifically, we observed a lower expression of genes involved with apoptosis and TGFβ signaling in MPN cells compared to normal cells following TNF stimulation. The finding of a dampened apoptotic response to TNF is consistent with the hypothesis that JAK2V617F cells gain a selective advantage over normal cells under inflammatory stress. To our knowledge, this is the first report of single-cell RNA-seq analysis on primary human HSPCs following FACS and inflammatory stimulation. Disclosures Fleischman: incyte: Speakers Bureau.


2020 ◽  
Author(s):  
Siying Chen ◽  
Xueya Zhou ◽  
Eve Byington ◽  
Samuel L. Bruce ◽  
Haicang Zhang ◽  
...  

AbstractAutism spectrum disorder (autism) is a condition with strong but heterogenous genetic contribution. Recent exome and genome sequencing studies have uncovered many new risk genes through de novo variants. However, a large fraction of enrichment of de novo variants observed in cases are not accounted for by known or candidate risk genes, suggesting that the majority of risk genes are still unknown. Here we hypothesize that autism risk genes share a few common cell-type specific gene expression patterns during brain development, and such information can be quantified to improve statistical power of detecting new risk genes. We obtained large-scale single-cell RNA-seq data from human fetal brain collected through a range of developmental stages, and developed a supervised machine-learning approach “A-risk” (Autism risk), to predict the plausibility of autism risk genes across the genome. Using data from recent exome sequencing studies of autism, A-risk achieves better performance in prioritizing de novo variants than other methods, especially for genes that are less intolerant of loss of function variants. We stratified genes based on A-risk and mutation intolerance metrics to improve estimation of priors in extTADA and identified 71 candidate risk genes. In particular, CLCN4, PRKAR1B, and NR2F1 are potentially new risk genes with further support from neurodevelopmental disorders. Expression patterns of both known and candidate risk genes reveals the important role of deep-layer excitatory neurons from adult human cortex in autism etiology. With the unprecedented revolution of single-cell transcriptomics and expanding autism cohorts with exome or genome sequencing, our method will facilitate systematic discovery of novel risk genes and understanding of biological pathogenesis in autism.


Genes ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 311
Author(s):  
Zhenqiu Liu

Single-cell RNA-seq (scRNA-seq) is a powerful tool to measure the expression patterns of individual cells and discover heterogeneity and functional diversity among cell populations. Due to variability, it is challenging to analyze such data efficiently. Many clustering methods have been developed using at least one free parameter. Different choices for free parameters may lead to substantially different visualizations and clusters. Tuning free parameters is also time consuming. Thus there is need for a simple, robust, and efficient clustering method. In this paper, we propose a new regularized Gaussian graphical clustering (RGGC) method for scRNA-seq data. RGGC is based on high-order (partial) correlations and subspace learning, and is robust over a wide-range of a regularized parameter λ. Therefore, we can simply set λ=2 or λ=log(p) for AIC (Akaike information criterion) or BIC (Bayesian information criterion) without cross-validation. Cell subpopulations are discovered by the Louvain community detection algorithm that determines the number of clusters automatically. There is no free parameter to be tuned with RGGC. When evaluated with simulated and benchmark scRNA-seq data sets against widely used methods, RGGC is computationally efficient and one of the top performers. It can detect inter-sample cell heterogeneity, when applied to glioblastoma scRNA-seq data.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Rongxin Fang ◽  
Sebastian Preissl ◽  
Yang Li ◽  
Xiaomeng Hou ◽  
Jacinta Lucero ◽  
...  

AbstractIdentification of the cis-regulatory elements controlling cell-type specific gene expression patterns is essential for understanding the origin of cellular diversity. Conventional assays to map regulatory elements via open chromatin analysis of primary tissues is hindered by sample heterogeneity. Single cell analysis of accessible chromatin (scATAC-seq) can overcome this limitation. However, the high-level noise of each single cell profile and the large volume of data pose unique computational challenges. Here, we introduce SnapATAC, a software package for analyzing scATAC-seq datasets. SnapATAC dissects cellular heterogeneity in an unbiased manner and map the trajectories of cellular states. Using the Nyström method, SnapATAC can process data from up to a million cells. Furthermore, SnapATAC incorporates existing tools into a comprehensive package for analyzing single cell ATAC-seq dataset. As demonstration of its utility, SnapATAC is applied to 55,592 single-nucleus ATAC-seq profiles from the mouse secondary motor cortex. The analysis reveals ~370,000 candidate regulatory elements in 31 distinct cell populations in this brain region and inferred candidate cell-type specific transcriptional regulators.


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