scholarly journals Single-cell analysis of microglial transcriptomic diversity in subarachnoid hemorrhage

2021 ◽  
Author(s):  
Junfan CHEN ◽  
Lei SUN ◽  
Hao LYU ◽  
Zhiyuan ZHENG ◽  
Huasheng LAI ◽  
...  
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Single Cell ◽  
Expression Patterns ◽  
Critical Role ◽  
Marker Gene ◽  
Transcriptional Analysis ◽  
Integrated Analysis ◽  
Cellular Interactions ◽  
Monitoring Methods ◽  
Gene Markers

Background: Subarachnoid hemorrhage (SAH) is a severe stroke and the advanced treatment for SAH is still limited. Recent studies have shown that microglia-mediated neuroinflammation plays a critical role in the pathogenesis of SAH. Microglia can transform their states in response to central nervous system injury. However, the transcriptomic features of microglia remained unknown in SAH. Recent developed single-cell RNA sequencing (scRNA-seq) provides a possible way to solve this problem. Methods: Endovascular perforation (EVP) murine SAH model was established to reproduce experimental SAH. Microglia states are examined with immune staining and quantitate analysis. Post-SAH microglial single-cell suspension were harvest and sequenced using 10X scRNA-seq platform. Then, the detailed single-cell transcriptomic characterization of post-SAH microglia were analyzed with bioinformatics. Results: Transcriptional analysis revealed at least ten diverse microglial subgroups, including SAH-associated microglia (SAM), inflammatory-associated microglia (IAM) and proliferation-associated microglia (PAM), which all exhibit distinct marker gene expression patterns. Microglia subsets interaction reveals the functional relationship between elevated signaling pathways and microglial sub-populations in SAH. Receptor-ligand pair analysis revealed that complex inter-cellular interactions exist between the microglia subsets and other cell types, and indicated that microglia are important mediators of neuroinflammation after SAH. Integrated analysis with normal microglia further proved the existence of these microglia subpopulations and different gene markers associated with SAH were clarified. Conclusions: Collectively, we first report the single-cell transcriptome of post-SAH microglia and found specific biomarkers related to the neuroinflammation in SAH. These results enhanced our understanding of the pathological mechanisms of microglial response to SAH, and may guide future development of SAH monitoring methods and therapeutics.

scholarly journals Varying water deficit stress (WDS) tolerance in grain amaranths involves multifactorial shifts in WDS-related responses

2017 ◽  
Author(s):  
América Tzitziki González-Rodríguez ◽  
Ismael Cisneros Hernández ◽  
Norma A. Martínez-Gallardo ◽  
Erika Mellado-Mojica ◽  
Mercedes López-Pérez ◽  
...  
Keyword(s):  
Water Deficit ◽  
Expression Patterns ◽  
Marker Gene ◽  
Water Deficit Stress ◽  
Sensitive Data ◽  
Gene Markers ◽  
Amaranthus Hypochondriacus ◽  
Galactinol Synthase ◽  
Tolerant Species ◽  
Raffinose Synthase

AbstractIn this study, water deficit stress (WDS)-tolerance in several cultivars of grain amaranth species (Amaranthus hypochondriacus[Ahypo],A. cruentus[Acru] and A.caudatus[Acau]), in addition toA. hybridus(Ahyb), an ancestral amaranth, was examined. Ahypo was the most WDS-tolerant species, whereas Acau and Ahyb were WDS-sensitive. Data revealed that the differential WDS tolerance observed was multifactorial. It involved increased proline and raffinose (Raf) in leaves and/ or roots. Higher foliar Raf coincided with inducedGalactinol synthase 1(AhGolS1) andRaffinose synthase(AhRafS) expression. Unknown compounds, possibly larger RFOs, also accumulated in leaves of WDS-tolerant amaranths, which had high Raf/ Verbascose ratios. Distinct nonstructural carbohydrate (NSC) accumulation patterns were observed in tolerant species under WDS and recovery, such as: i) high Hex/ Suc ratios in roots coupled to increased cell wall and vacuolar invertase and sucrose synthase activities; ii) a severer depletion of starch reserves; iii) lower NSC content in leaves, and iv) higher basal hexose levels in roots which further increased under WDS. WDS-marker gene expression patterns proposed a link between amaranth’s WDS tolerance and abscisic acid-dependent signaling. Results obtained also suggest thatAhTRE,AhTPS9,AhTPS11,AhGolS1 and AhRafSare reliable gene markers of WDS tolerance in amaranth.HighlightDifferential water deficit stress tolerance in grain amaranths and their ancestor,Amaranthus hybridus, is a multifactorial process involving various biochemical changes and modified expression patterns of key stress-related genes.

scholarly journals Combined transient ablation and single cell RNA sequencing reveals the development of medullary thymic epithelial cells

2020 ◽  
Author(s):  
Kristen L. Wells ◽  
Corey N. Miller ◽  
Andreas R. Gschwind ◽  
Wu Wei ◽  
Jonah D. Phipps ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Single Cell ◽  
Rna Sequencing ◽  
Expression Patterns ◽  
Critical Role ◽  
Lineage Tracing ◽  
Thymic Epithelial Cells ◽  
Single Cell Rna Sequencing ◽  
Medullary Thymic Epithelial Cells

AbstractMedullary thymic epithelial cells (mTECs) play a critical role in central immune tolerance by mediating negative selection of autoreactive T cells through the collective expression of the peripheral self-antigen compartment, including tissue-specific antigens (TSAs). Recent work has shown that gene expression patterns within the mTEC compartment are remarkably heterogenous and include multiple differentiated cell states. To further define mTEC development and medullary epithelial lineage relationships, we combined lineage tracing and recovery from transient in vivo mTEC ablation with single cell RNA-sequencing. The combination of bioinformatic and experimental approaches revealed a non-stem transit-amplifying population of cycling mTECs that preceded Aire expression. Based on our findings, we propose a branching model of mTEC development wherein a heterogeneous pool of transit-amplifying cells gives rise to Aire- and Ccl21a-expressing mTEC subsets. We further use experimental techniques to show that within the Aire-expressing developmental branch, TSA expression peaked as Aire expression decreased, implying Aire expression must be established before TSA expression can occur. Collectively, these data provide a higher order roadmap of mTEC development and demonstrate the power of combinatorial approaches leveraging both in vivo models and high-dimensional datasets.

scholarly journals Optimal marker gene selection for cell type discrimination in single cell analyses

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Bianca Dumitrascu ◽  
Soledad Villar ◽  
Dustin G. Mixon ◽  
Barbara E. Engelhardt
Keyword(s):  
Single Cell ◽  
Gene Selection ◽  
Marker Gene ◽  
Cell Types ◽  
Specific Cell ◽  
Cell Type ◽  
Computationally Efficient ◽  
Data Set ◽  
Gene Markers

AbstractSingle-cell technologies characterize complex cell populations across multiple data modalities at unprecedented scale and resolution. Multi-omic data for single cell gene expression, in situ hybridization, or single cell chromatin states are increasingly available across diverse tissue types. When isolating specific cell types from a sample of disassociated cells or performing in situ sequencing in collections of heterogeneous cells, one challenging task is to select a small set of informative markers that robustly enable the identification and discrimination of specific cell types or cell states as precisely as possible. Given single cell RNA-seq data and a set of cellular labels to discriminate, scGeneFit selects gene markers that jointly optimize cell label recovery using label-aware compressive classification methods. This results in a substantially more robust and less redundant set of markers than existing methods, most of which identify markers that separate each cell label from the rest. When applied to a data set given a hierarchy of cell types as labels, the markers found by our method improves the recovery of the cell type hierarchy with fewer markers than existing methods using a computationally efficient and principled optimization.

scholarly journals Single-Cell RNA-Seq of Mouse Decidual Leukocytes Reveals Intriguing Gestational Changes in the Immune Cell Landscape and Effects of SRC-1/-2 Double-Deficiency

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A753-A754
Author(s):  
Jingfei Chen ◽  
Jialei Duan ◽  
Alina Montalbano ◽  
Boxun Li ◽  
Gary Hon ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Immune Cell ◽  
Expression Patterns ◽  
Critical Role ◽  
Fetal Lung ◽  
Specific Gene ◽  
Rna Seq ◽  
Cell Clusters ◽  
Pregnant Mice

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).

scholarly journals Single-cell transcriptional atlas of the Chinese horseshoe bat (Rhinolophus sinicus) provides insight into the cellular mechanisms which enable bats to be viral reservoirs

2020 ◽  
Author(s):  
Lili Ren ◽  
Chao Wu ◽  
Li Guo ◽  
Jiacheng Yao ◽  
Conghui Wang ◽  
...  
Keyword(s):  
T Cells ◽  
Single Cell ◽  
Cell Biology ◽  
Expression Patterns ◽  
Cell Types ◽  
Transcriptional Analysis ◽  
Effector Memory ◽  
Viral Reservoirs ◽  
Isolated Lung ◽  
Horseshoe Bat

AbstractBats are a major “viral reservoir” in nature and there is a great interest in not only the cell biology of their innate and adaptive immune systems, but also in the expression patterns of receptors used for cellular entry by viruses with potential cross-species transmission. To address this and other questions, we created a single-cell transcriptomic atlas of the Chinese horseshoe bat (Rhinolophus sinicus) which comprises 82,924 cells from 19 organs and tissues. This atlas provides a molecular characterization of numerous cell types from a variety of anatomical sites, and we used it to identify clusters of transcription features that define cell types across all of the surveyed organs. Analysis of viral entry receptor genes for known zoonotic viruses showed cell distribution patterns similar to that of humans, with higher expression levels in bat intestine epithelial cells. In terms of the immune system, CD8+ T cells are in high proportion with tissue-resident memory T cells, and long-lived effector memory nature killer (NK) T-like cells (KLRG1, GZMA and ITGA4 genes) are broadly distributed across the organs. Isolated lung primary bat pulmonary fibroblast (BPF) cells were used to evaluate innate immunity, and they showed a weak response to interferon β and tumor necrosis factor-α compared to their human counterparts, consistent with our transcriptional analysis. This compendium of transcriptome data provides a molecular foundation for understanding the cell identities, functions and cellular receptor characteristics for viral reservoirs and zoonotic transmission.

scholarly journals Comparative transcriptome profiling conferring of resistance to Fusarium oxysporum infection between resistant and susceptible tomato

2017 ◽  
Author(s):  
Min Zhao ◽  
Hui-Min Ji ◽  
Yin Gao ◽  
Xin-Xin Cao ◽  
Hui-Yin Mao ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Ontology ◽  
Fusarium Oxysporum ◽  
Expression Patterns ◽  
Critical Role ◽  
Initial Point ◽  
Transcriptional Analysis ◽  
Post Inoculation ◽  
Tomato Cultivar ◽  
Susceptible Tomato

ABASTRCATTomato Fusarium wilt caused by Fusarium oxysporum f. sp. lycopersici (FOL) is a destructive disease of tomato worldwide which causes severe yield loss of the crops. As exploring gene expression and function approaches constitute an initial point for investigating pathogen-host interaction, we performed a transcriptional analysis to unravel regulated genes in tomato infected by FOL. Differentially expressed genes (DEG) upon inoculation with FOL were presented at twenty-four hours post-inoculation including four treatments: Moneymaker_H2O, Moneymaker_FOL, Motelle_H2O and Motelle_FOL. A total of more than 182.6 million high quality clean reads from the four libraries were obtained. A large overlap was found in DEGs between susceptible tomato cultivar Moneymaker and resistant tomato cultivar Motelle. All Gene Ontology terms were mainly classified into catalytic activity, metabolic process and binding. However, Gene Ontology enrichment analysis evidenced specific categories in infected Motelle. Statistics of pathway enrichment of DEGs resulted that the taurine and hypotaurine metabolism, the stibenoid, diarylheptanoid and gingerol biosynthesis, the starch and sucrose metabolism were the top three pathway affected in both groups. Interestingly, plant-pathogen pathway was greatly regulated in Motelle treated with FOL. Combining with qRT-PCR facilitated the identification of regulated pathogenicity associated genes upon infected resistant or susceptible tomato. Our data showed that a coordinated machinery played a critical role in prompting the response, which could help in generating models of mediated resistance responses with assessment of genomic gene expression patterns.

scholarly journals Genome-wide Identification of the POD Gene Family and their Expression Profiling in Grapevine (Vitis vinifera L)

2019 ◽  
Author(s):  
Huilin Xiao ◽  
Chaoping Wang ◽  
Nadeem Khan ◽  
Mengxia Chen ◽  
Weihong Fu ◽  
...  
Keyword(s):  
Gene Duplication ◽  
Sequence Data ◽  
Expression Patterns ◽  
Critical Role ◽  
Chromosomal Mapping ◽  
Integrated Analysis ◽  
Vitis Vinifera L ◽  
Specific Response ◽  
Evolutionary Analysis ◽  
Gene Pairs

Abstract The purpose of this study is by extending the analysis of class III peroxidases (PODs) in grapevine and provide further insights into the organ-specific developmental role in transcriptional dynamics and gene duplication analysis of this economically important fruit crop species. Herein, we comprehensively identified 47 PODs in the grapevine genome and are further classified into 7 subgroups based on their phylogenetic analysis. Results of motif composition and gene structure organization analysis revealed that PODs in the same subgroup shared similar conjunction while the protein sequences were highly conserved. Intriguingly, the integrated analysis of chromosomal mapping and gene collinearity analysis proposed that both dispersed and tandem duplication events contributed to the expansion of PODs in grapevine. Also, the gene duplication analysis suggested that most of the genes (20) were dispersed followed by (15) tandem, (9) segmental or whole-genome duplication, and (3) proximal, respectively. The evolutionary analysis of PODs, such as Ka/Ks ratio of the 15 duplicated gene pairs were less than 1.00, indicated that most of the gene pairs exhibiting purifying selection and 7 pairs underwent positive selection with value greater than 1.00. The Gene Ontology Enrichment (GO), Kyoto Encyclopedia of Genes Genomics (KEGG) analysis, and cis-elements prediction also revealed the positive functions of PODs in plant growth and developmental activities, and response to stress stimuli. Further, based on the publically available RNA-sequence data, the expression patterns of PODs in tissue-specific response during several developmental stages revealed diverged expression patterns. Subsequently, 30 genes were selected for RT-PCR validation in response to (NaCl, drought, and ABA), which showed their critical role in grapevine. In conclusion, we predict that these results will lead to novel insights regarding genetic improvement of grapevine.

scholarly journals A transcriptomic landscape of cancer and TME in early-stage lungadenocarcinomaby single-cell sequencing.

2019 ◽  
Vol 5 (suppl) ◽  
pp. 33-33
Author(s):  
Siwei Wang ◽  
Yiqi Zhou ◽  
Jue Fan ◽  
Rong Yin
Keyword(s):  
Gene Expression ◽  
Lung Adenocarcinoma ◽  
Single Cell ◽  
Cancer Cells ◽  
Rational Design ◽  
Early Stage ◽  
Expression Patterns ◽  
Marker Gene ◽  
Gene Expression Patterns ◽  
Mutation Status

33 Background: Immuno-checkpoint inhibition therapies has been revolutionizing cancer treatment. Yet only a fraction of patients show durable responses , whereas the majority of treated patients show relatively low clinical response. This difference is likely to be caused by the heterogeneity of both cancer cells and cells involved in the tumor microenvironment (TME). However, the extent of this heterogeneity, how it is shaped by other factors in the tumor and vice versa, remains poorly understood. Methods: To explore the heterogeneity of lung adenocarcinoma, we obtained tumor tissuesand peripheral blood froma cohort of 30 treatment-naive patients. For each sample, single-cell RNA sequencingand whole exome sequencing(WES) wereperformed. A graph-based unsupervised clusteringmethod was usedand cell types were assignedto clusters based on marker gene expression. The sub-types of both cancer cells and TME cells along with their gene expression patterns were comparedbetween different cancer stages and mutation status. Results: we presented a landscape of cancer and TME transcriptome in human lung adenocarcinoma at single-cell resolution. We found the expression of cancer cells exhibits distinct characteristics with different TNM stages. For instance, the tumor cells of a patient classified as T1aN2M0 highly express genes enriched in the cell migration pathway. By comparing TME cells among patients with different mutation status, we identified changes in various T cell subtypes and tumor-infiltrating myeloid cells. Conclusions: This study provided a detailed cell atlas of lung adenocarcinoma and identified gene expression patterns that are unique to specific TNM stages. Moreover, single-cell analyses offer valuable knowledgeof immune changes for each patient subgroup, providing ausefultool for the rational design of immunetherapies.

scholarly journals A Cancer Cell Cluster Marked by LincRNA MEG3 Leads Pancreatic Ductal Adenocarcinoma Metastasis

2021 ◽  
Vol 11 ◽  
Author(s):  
Hong Pan ◽  
Huanrong Diao ◽  
Wen Zhong ◽  
Taifang Wang ◽  
Ping Wen ◽  
...  
Keyword(s):  
Single Cell ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Cancer Metastasis ◽  
Epithelial Mesenchymal Transition ◽  
Critical Role ◽  
Marker Gene ◽  
Differentially Expressed Gene ◽  
Ductal Adenocarcinoma ◽  
Multiple Cancer ◽  
Mesenchymal Transition

Pancreatic ductal adenocarcinoma (PDAC) is a highly devastating disease with poor prognosis and rising incidence worldwide. Late detection and particularly aggressive characteristics are the major challenges that lead to therapeutic failure of this disease. A well described gene program and core regulators are yet to be discovered to drive the metastasis of the PDAC cells. As the development of single cell omics technologies including single cell RNA-sequencing (scRNA-seq), detailed characterization of the cellular composition of solid tumors and their microenvironments are well elaborated. In the current study, we accessed a recently published scRNA-seq dataset on primary and metastatic PDAC tissues and subset the tumor cells. By comparative analysis, we profiled the differentially expressed gene programs of primary and metastatic PDAC and found several long intergenic non-coding RNAs (LincRNAs) in top genes. The PDAC cancer cells showed some heterogeneity and were divided into four major subclusters based on gene profiles, one of which was mostly contributed by metastatic PDAC. Interestingly, this subcluster was remarkably marked by one of the above LincRNAs, MEG3, and exhibited significantly increased Epithelial–Mesenchymal-Transition (EMT) signatures. Ingenuity Pathway Analysis (IPA) on the signature genes of this subcluster gave multiple cancer metastasis associated and EMT signaling pathways, suggesting a critical role of this cluster in leading tumor cell metastasis. Taken together, this study displayed a PDAC cancer subcluster and its marker gene, biologically targeting of which might significantly attenuate the metastasis of tumor and might be a potential strategy for the therapeutic treatment of cancer.

scholarly journals Epigenetic Landscapes of Single-Cell Chromatin Accessibility and Transcriptomic Immune Profiles of T Cells in COVID-19 Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Shun Li ◽  
Bin Wu ◽  
Yun Ling ◽  
Mingquan Guo ◽  
Boyin Qin ◽  
...  
Keyword(s):  
T Cells ◽  
Single Cell ◽  
Signaling Pathway ◽  
Single Cells ◽  
Critical Role ◽  
Regulatory Elements ◽  
Mapk Signaling ◽  
Chromatin Accessibility ◽  
Integrated Analysis ◽  
Activation Markers

T cells play a critical role in coronavirus diseases. How they do so in COVID-19 may be revealed by analyzing the epigenetic chromatin accessibility of cis- and trans-regulatory elements and creating transcriptomic immune profiles. We performed single-cell assay for transposase-accessible chromatin (scATAC) and single-cell RNA (scRNA) sequencing (seq) on the peripheral blood mononuclear cells (PBMCs) of severely ill/critical patients (SCPs) infected with COVID-19, moderate patients (MPs), and healthy volunteer controls (HCs). About 76,570 and 107,862 single cells were used, respectively, for analyzing the characteristics of chromatin accessibility and transcriptomic immune profiles by the application of scATAC-seq (nine cases) and scRNA-seq (15 cases). The scATAC-seq detected 28,535 different peaks in the three groups; among these peaks, 41.6 and 10.7% were located in the promoter and enhancer regions, respectively. Compared to HCs, among the peak-located genes in the total T cells and its subsets, CD4+ T and CD8+ T cells, from SCPs and MPs were enriched with inflammatory pathways, such as mitogen-activated protein kinase (MAPK) signaling pathway and tumor necrosis factor (TNF) signaling pathway. The motifs of TBX21 were less accessible in the CD4+ T cells of SCPs compared with those in MPs. Furthermore, the scRNA-seq showed that the proportion of T cells, especially the CD4+ T cells, was decreased in SCPs and MPs compared with those in HCs. Transcriptomic results revealed that histone-related genes, and inflammatory genes, such as NFKBIA, S100A9, and PIK3R1, were highly expressed in the total T cells, CD4+ T and CD8+ T cells, both in the cases of SCPs and MPs. In the CD4+ T cells, decreased T helper-1 (Th1) cells were observed in SCPs and MPs. In the CD8+T cells, activation markers, such as CD69 and HLA class II genes (HLA-DRA, HLA-DRB1, and HLA-DRB5), were significantly upregulated in SCPs. An integrated analysis of the data from scATAC-seq and scRNA-seq showed some consistency between the approaches. Cumulatively, we have generated a landscape of chromatin epigenetic status and transcriptomic immune profiles of T cells in patients with COVID-19. This has provided a deeper dissection of the characteristics of the T cells involved at a higher resolution than from previously obtained data merely by the scRNA-seq analysis. Our data led us to suggest that the T-cell inflammatory states accompanied with defective functions in the CD4+ T cells of SCPs may be the key factors for determining the pathogenesis of and recovery from COVID-19.

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