scholarly journals Single-Cell RNA-Seq Analysis of Diabetic Wound Macrophages in STZ-Induced Mice

Author(s):  
Siyuan Yin ◽  
Jiaxu Ma ◽  
Ru Song ◽  
Chunyan Liu ◽  
Guoqi Cao ◽  
...  

Abstract Background: The crucial role of macrophages in the healing of chronic diabetic wounds is widely known, but previous in vitro classification and marker genes of macrophages may not be fully applicable to cells in the microenvironment of chronic wounds. The heterogeneity of macrophages was studied and classified at the single-cell level in a chronic wound model. Results: We performed single-cell sequencing of CD45+ immune cells within the wound edge and obtained 17 clusters of cells, including 4 clusters of macrophages. One of these clusters is a previously undescribed population of macrophages possessing osteoclast gene expression, for which analysis of differential genes revealed possible functions. We also analysed the differences in gene expression between groups of macrophages in the control and diabetic wound groups at different sampling times. Conclusions: we described the differentiation profile of mononuclear macrophages, which has provided an important reference for the study of immune-related mechanisms in diabetic chronic wounds.

2019 ◽  
Author(s):  
Ugur M. Ayturk ◽  
Joseph P. Scollan ◽  
Alexander Vesprey ◽  
Christina M. Jacobsen ◽  
Paola Divieti Pajevic ◽  
...  

ABSTRACTSingle cell RNA-seq (scRNA-seq) is emerging as a powerful technology to examine transcriptomes of individual cells. We determined whether scRNA-seq could be used to detect the effect of environmental and pharmacologic perturbations on osteoblasts. We began with a commonly used in vitro system in which freshly isolated neonatal mouse calvarial cells are expanded and induced to produce a mineralized matrix. We used scRNA-seq to compare the relative cell type abundances and the transcriptomes of freshly isolated cells to those that had been cultured for 12 days in vitro. We observed that the percentage of macrophage-like cells increased from 6% in freshly isolated calvarial cells to 34% in cultured cells. We also found that Bglap transcripts were abundant in freshly isolated osteoblasts but nearly undetectable in the cultured calvarial cells. Thus, scRNA-seq revealed significant differences between heterogeneity of cells in vivo and in vitro. We next performed scRNA-seq on freshly recovered long bone endocortical cells from mice that received either vehicle or Sclerostin-neutralizing antibody for 1 week. Bone anabolism-associated transcripts were also not significantly increased in immature and mature osteoblasts recovered from Sclerostin-neutralizing antibody treated mice; this is likely a consequence of being underpowered to detect modest changes in gene expression, since only 7% of the sequenced endocortical cells were osteoblasts, and a limited portion of their transcriptomes were sampled. We conclude that scRNA-seq can detect changes in cell abundance, identity, and gene expression in skeletally derived cells. In order to detect modest changes in osteoblast gene expression at the single cell level in the appendicular skeleton, larger numbers of osteoblasts from endocortical bone are required.


2019 ◽  
Author(s):  
Marcus Alvarez ◽  
Elior Rahmani ◽  
Brandon Jew ◽  
Kristina M. Garske ◽  
Zong Miao ◽  
...  

AbstractSingle-nucleus RNA sequencing (snRNA-seq) measures gene expression in individual nuclei instead of cells, allowing for unbiased cell type characterization in solid tissues. Contrary to single-cell RNA seq (scRNA-seq), we observe that snRNA-seq is commonly subject to contamination by high amounts of extranuclear background RNA, which can lead to identification of spurious cell types in downstream clustering analyses if overlooked. We present a novel approach to remove debris-contaminated droplets in snRNA-seq experiments, called Debris Identification using Expectation Maximization (DIEM). Our likelihood-based approach models the gene expression distribution of debris and cell types, which are estimated using EM. We evaluated DIEM using three snRNA-seq data sets: 1) human differentiating preadipocytes in vitro, 2) fresh mouse brain tissue, and 3) human frozen adipose tissue (AT) from six individuals. All three data sets showed various degrees of extranuclear RNA contamination. We observed that existing methods fail to account for contaminated droplets and led to spurious cell types. When compared to filtering using these state of the art methods, DIEM better removed droplets containing high levels of extranuclear RNA and led to higher quality clusters. Although DIEM was designed for snRNA-seq data, we also successfully applied DIEM to single-cell data. To conclude, our novel method DIEM removes debris-contaminated droplets from single-cell-based data fast and effectively, leading to cleaner downstream analysis. Our code is freely available for use at https://github.com/marcalva/diem.


2021 ◽  
Author(s):  
Sanshiro Kanazawa ◽  
Hironori Hojo ◽  
Shinsuke Ohba ◽  
Junichi Iwata ◽  
Makoto Komura ◽  
...  

Abstract Although multiple studies have investigated the mesenchymal stem and progenitor cells (MSCs) that give rise to mature bone marrow, high heterogeneity in their morphologies and properties causes difficulties in molecular separation of their distinct populations. In this study, by taking advantage of the resolution of the single cell transcriptome, we analyzed Sca-1 and PDGFR-α fraction in the mouse bone marrow tissue. The single cell transcriptome enabled us to further classify the population into seven populations according to their gene expression profiles. We then separately obtained the seven populations based on candidate marker genes, and specified their gene expression properties and epigenetic landscape by ATAC-seq. Our findings will enable to elucidate the stem cell niche signal in the bone marrow microenvironment, reconstitute bone marrow in vitro, and shed light on the potentially important role of identified subpopulation in various clinical applications to the treatment of bone- and bone marrow-related diseases.


Author(s):  
Ling-Ling Zheng ◽  
Jing-Hua Xiong ◽  
Wu-Jian Zheng ◽  
Jun-Hao Wang ◽  
Zi-Liang Huang ◽  
...  

Abstract Although long noncoding RNAs (lncRNAs) have significant tissue specificity, their expression and variability in single cells remain unclear. Here, we developed ColorCells (http://rna.sysu.edu.cn/colorcells/), a resource for comparative analysis of lncRNAs expression, classification and functions in single-cell RNA-Seq data. ColorCells was applied to 167 913 publicly available scRNA-Seq datasets from six species, and identified a batch of cell-specific lncRNAs. These lncRNAs show surprising levels of expression variability between different cell clusters, and has the comparable cell classification ability as known marker genes. Cell-specific lncRNAs have been identified and further validated by in vitro experiments. We found that lncRNAs are typically co-expressed with the mRNAs in the same cell cluster, which can be used to uncover lncRNAs’ functions. Our study emphasizes the need to uncover lncRNAs in all cell types and shows the power of lncRNAs as novel marker genes at single cell resolution.


2021 ◽  
Author(s):  
Xiaozhong Shen ◽  
Gangcai Xie

AbstractN(6)-methyladenosine (m(6)a) is the most common internal modification of messenger RNA (mRNA) in higher eukaryotes. According to previous literature reports, alkbh5, as another demethylase in mammals, can reverse the expression of m(6)a gene in vivo and in vitro. In order to reveal the effect of Alkbh5 deletion on the level of single cells in the testis during spermatogenesis in mice, the data were compared using single-cell sequencing. In this article, we discussed the transcription profile and cell type identification of mouse testis, the expression of mitochondrial and ribosomal genes in mice, the analysis of differential gene expression, and the effects of Alkbh5 deletion, and try to explain the role and influence of Alkbh5 on reproduction at the level of single-cell sequencing.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 566-566
Author(s):  
Arnav Mehta ◽  
Mati Mann ◽  
Monika Kowalczyk ◽  
Carl de Boer ◽  
Jun Wang ◽  
...  

Abstract Hematopoietic stem cells (HSCs) have the unique responsibility to produce balanced immune cell output throughout an organism's life. Importantly, they must do so robustly despite a plethora of external stress, including frequent inflammatory challenge. With age, the accumulation of these stresses leads to impaired HSC function and myeloid-biased output. Aged HSCs are also more prone to pathological hematopoiesis, such as myeloproliferative disorder, leukemia and autoimmune diseases. However, little is known about the subcellular mechanisms that govern the inflammatory response of HSCs with age, which in turn might contribute to pathologic transformation. We show that young hematopoietic stem and progenitor cells (HSPCs) demonstrate a robust transcriptional response to toll-like receptor (TLR) ligands. Interestingly, this response is similar to that of mature immune cell types such as dendritic cells. Using single-cell proteomic assays, we found that young HSPCs secrete a diverse array of myeloid and lymphoid cytokines. However, when challenged with TLR ligands in vivo, young mice acutely increase myeloid-biased output but return rapidly to baseline hematopoietic output of both lymphoid and myeloid cells. Moreover, inflammatory challenge of young long-term HSCs in vitro did not perturb the function and output of these cells in bone marrow reconstitution experiments. In contrast to their counterparts from young mice, we found HSPCs obtained from aged mice have a diminished ability to secrete cytokines in response to TLR ligands. Furthermore, they secrete a homogenous subset of myeloid-biased cytokines. When challenged with TLR ligands in vivo, aged mice acutely increased myeloid output and maintain elevated myeloid output for several months implying memory of the inflammatory challenge. Consistent with this, we also found that pre-stimulation of aged HSCs prior to bone marrow transplant results in a sustained increase in myeloid output compared to unstimulated aged HSCs. To elucidate the differential heterogeneity between young and aged HSPCs in response to TLR signaling, we next performed single-cell RNA sequencing (RNA-seq) experiments. We found that the sustained myeloid output in aged mice after TLR stimulation is largely due to expansion of a myeloid-biased HSC subset in the aged HSC pool. By characterizing the gene expression networks that define these myeloid-biased HSCs under stimulation conditions, we were then able to identify a myeloid-biased HSC subset in both the unperturbed young and aged HSC pools. Moreover, we found that these cells are more abundant in aged mice at steady-state, and that these HSCs demonstrate a unique response to inflammatory challenge. We further identify putative transcriptional regulators, including Klf4, Klf5, Ikzf1 and Stat3, among others, that define gene expression in these myeloid-biased HSCs. We further show that loss of function of these factors can differentially alter myeloid output in young and aged mice both in vitro and in vivo. Our results demonstrate that there is a differential response of young and aged HSCs to inflammatory signals. Using single-cell RNA-seq and protein secretion studies, we elucidate the molecular heterogeneity of the HSC pool at steady state and with TLR stimulation. By resolving heterogeneous subsets of cells in both the young and aged HSC pool, and by uncovering the transcriptional regulators that influence their function, we thus propose a new model of inflammatory hematopoiesis that may have implications to understanding age-related defects in immune development. Disclosures No relevant conflicts of interest to declare.


2015 ◽  
Vol 112 (49) ◽  
pp. 15226-15231 ◽  
Author(s):  
Ming Gao ◽  
Trung T. Nguyen ◽  
Mark A. Suckow ◽  
William R. Wolter ◽  
Major Gooyit ◽  
...  

Nonhealing chronic wounds are major complications of diabetes resulting in >70,000 annual lower-limb amputations in the United States alone. The reasons the diabetic wound is recalcitrant to healing are not fully understood, and there are limited therapeutic agents that could accelerate or facilitate its repair. We previously identified two active forms of matrix metalloproteinases (MMPs), MMP-8 and MMP-9, in the wounds of db/db mice. We argued that the former might play a role in the body’s response to wound healing and that the latter is the pathological consequence of the disease with detrimental effects. Here we demonstrate that the use of compound ND-336, a novel highly selective inhibitor of gelatinases (MMP-2 and MMP-9) and MMP-14, accelerates diabetic wound healing by lowering inflammation and by enhancing angiogenesis and re-epithelialization of the wound, thereby reversing the pathological condition. The detrimental role of MMP-9 in the pathology of diabetic wounds was confirmed further by the study of diabetic MMP-9–knockout mice, which exhibited wounds more prone to healing. Furthermore, topical administration of active recombinant MMP-8 also accelerated diabetic wound healing as a consequence of complete re-epithelialization, diminished inflammation, and enhanced angiogenesis. The combined topical application of ND-336 (a small molecule) and the active recombinant MMP-8 (an enzyme) enhanced healing even more, in a strategy that holds considerable promise in healing of diabetic wounds.


2017 ◽  
Author(s):  
Adam D Gracz ◽  
Leigh Ann Samsa ◽  
Matthew J Fordham ◽  
Danny C Trotier ◽  
Bailey Zwarycz ◽  
...  

Background & AimsThe intestinal epithelium is maintained by intestinal stem cells (ISCs), which produce post-mitotic absorptive and secretory epithelial cells. Initial fate specification toward enteroendocrine, goblet, and Paneth cell lineages is dependent on Atoh1, a master regulator of secretory differentiation. However, the origin of tuft cells, which participate in Type II immune responses to parasitic infection, is less clear and appears to occur in an Atoh1-independent manner. Here we examine the role of Sox4 in ISC proliferation and differentiation.MethodsWe used mice with intestinal epithelial-specific conditional knockout of Sox4 (Sox4fl/fl:vilCre; Sox4cKO) to study the role of Sox4 in the small intestine. Crypt- and single cell-derived organoids were used to assay proliferation and ISC potency between control and Sox4cKO mice. Lineage allocation and genetic consequences of Sox4 ablation were studied by immunofluorescence, RT-qPCR, and RNA-seq. In vivo infection with helminths and in vitro cytokine treatment in primary intestinal organoids were used to assess tuft cell hyperplasia in control and Sox4cKO samples. Atoh1GFP reporter mice and single cell RNA-seq (scRNA-seq) were used to determine co-localization of SOX4 and Atoh1. Wild-type and inducible Atoh1 knockout (Atoh1fl/fl:vilCreER; Atoh1iKO) organoids carrying an inducible Sox4 overexpression vector (Sox4OE) were used to determine the role of Atoh1 in Sox4 driven secretory differentiation.ResultsLoss of Sox4 impairs ISC function and secretory differentiation, resulting in decreased numbers of enteroendocrine and tuft cells. In wild-type mice, SOX4+ cells are significantly upregulated following helminth infection coincident with tuft cell hyperplasia. Sox4 is activated by IL13 in vitro and Sox4cKO knockout mice demonstrate impaired tuft cell hyperplasia and parasite clearance following infection with helminths. A subset of Sox4-expressing cells colocalize with Atoh1 and enteroendocrine markers by scRNA-seq, while Sox4+/Atoh1-cells correlate strongly with tuft cell populations. Gain-of-function studies in primary organoids demonstrate that Sox4 is sufficient to drive both enteroendocrine and tuft cell differentiation, and can do so in the absence of Atoh1.ConclusionOur data demonstrate that Sox4 promotes enteroendocrine and tuft cell lineage allocation independently of Atoh1. These results challenge long-standing views of Atoh1 as the sole regulator of secretory differentiation in the intestine and are relevant for understanding host epithelial responses to parasitic infection.


Genes ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1640
Author(s):  
Zhipeng Li ◽  
Xinhui Song ◽  
Shan Yin ◽  
Jiageng Yan ◽  
Peiru Lv ◽  
...  

Donkeys are an important domesticated animal, providing labor, meat, milk, and medicinal materials for humans. However, the donkey population is continuously declining and even at risk of extinction. The application of modern animal production technology, such as oocyte in vitro maturation, is a promising method to improve the donkey population. In this study, we explore the gene expression patterns of donkey germinal vesicle (GV) and in vitro matured metaphase II (MII) oocytes using single cell RNA-seq of the candidate genes along with the regulatory mechanisms that affect donkey oocyte maturation. We identified a total of 24,164 oocyte genes of which 9073 were significant differentially expressed in the GV and MII oocytes. Further Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that these genes were associated with the meiotic cell cycle, mitochondrion activity, and N-glycan biosynthesis, which might be the key genes and regulatory mechanisms affecting the maturation of donkey oocytes. Our study provides considerable understanding regarding the maturation of donkey oocytes and serves as a theoretical basis for improving the development of donkey oocytes, which could ultimately benefit the expansion of the donkey population and conservation of biodiversity and genetic resources.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sanshiro Kanazawa ◽  
Hiroyuki Okada ◽  
Hironori Hojo ◽  
Shinsuke Ohba ◽  
Junichi Iwata ◽  
...  

AbstractAlthough multiple studies have investigated the mesenchymal stem and progenitor cells (MSCs) that give rise to mature bone marrow, high heterogeneity in their morphologies and properties causes difficulties in molecular separation of their distinct populations. In this study, by taking advantage of the resolution of the single cell transcriptome, we analyzed Sca-1 and PDGFR-α fraction in the mouse bone marrow tissue. The single cell transcriptome enabled us to further classify the population into seven populations according to their gene expression profiles. We then separately obtained the seven populations based on candidate marker genes, and specified their gene expression properties and epigenetic landscape by ATAC-seq. Our findings will enable to elucidate the stem cell niche signal in the bone marrow microenvironment, reconstitute bone marrow in vitro, and shed light on the potentially important role of identified subpopulation in various clinical applications to the treatment of bone- and bone marrow-related diseases.


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