scholarly journals Detecting Lineage-Specific Marker Genes for Tumor Evolution Based on Single Cell Transcriptome

2021 ◽  
Vol 11 (3) ◽  
pp. 50-57
Author(s):  
Kosho Murayama ◽  
◽  
Hideo Matsuda
Keyword(s):  
Single Cell ◽  
Marker Genes ◽  
Tumor Evolution ◽  
Specific Marker ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome ◽  
Lineage Specific Marker

scholarly journals Mesenchymal Stromal Cells in the Bone Marrow Niche Consist of Multi-Populations With Distinct Transcriptional and Epigenetic Properties

2021 ◽  
Author(s):  
Sanshiro Kanazawa ◽  
Hironori Hojo ◽  
Shinsuke Ohba ◽  
Junichi Iwata ◽  
Makoto Komura ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bone Marrow ◽  
Single Cell ◽  
Expression Profiles ◽  
Marker Genes ◽  
Mouse Bone Marrow ◽  
Bone Marrow Niche ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

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.

scholarly journals High-throughput single-cell transcriptome profiling of plant cell types

2018 ◽  
Author(s):  
Christine N. Shulse ◽  
Benjamin J. Cole ◽  
Gina M. Turco ◽  
Yiwen Zhu ◽  
Siobhan M. Brady ◽  
...  
Keyword(s):  
Single Cell ◽  
High Throughput ◽  
Transcriptome Profiling ◽  
Cell Types ◽  
Marker Genes ◽  
Single Cell Rna Sequencing ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome ◽  
Heterogeneous Tissues ◽  
Genomic Basis

AbstractSingle-cell transcriptome analysis of heterogeneous tissues can provide high-resolution windows into the genomic basis and spatiotemporal dynamics of developmental processes. Here we demonstrate the feasibility of high-throughput single-cell RNA sequencing of plant tissue using the Drop-seq approach. Profiling of >4,000 individual cells from the Arabidopsis root provides transcriptomes and marker genes for a diversity of cell types and illuminates the gene expression changes that occur across endodermis development.

scholarly journals Single-cell transcriptome analysis reveals differential nutrient absorption functions in human intestine

2019 ◽  
Vol 217 (2) ◽  
Author(s):  
Yalong Wang ◽  
Wanlu Song ◽  
Jilian Wang ◽  
Ting Wang ◽  
Xiaochen Xiong ◽  
...  
Keyword(s):  
Single Cell ◽  
Large Intestine ◽  
Hormone Secretion ◽  
Cell Types ◽  
Nutrient Absorption ◽  
Marker Genes ◽  
Human Intestine ◽  
Colon And Rectum ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

The intestine plays an important role in nutrient digestion and absorption, microbe defense, and hormone secretion. Although major cell types have been identified in the mouse intestinal epithelium, cell type–specific markers and functional assignments are largely unavailable for human intestine. Here, our single-cell RNA-seq analyses of 14,537 epithelial cells from human ileum, colon, and rectum reveal different nutrient absorption preferences in the small and large intestine, suggest the existence of Paneth-like cells in the large intestine, and identify potential new marker genes for human transient-amplifying cells and goblet cells. We have validated some of these insights by quantitative PCR, immunofluorescence, and functional analyses. Furthermore, we show both common and differential features of the cellular landscapes between the human and mouse ilea. Therefore, our data provide the basis for detailed characterization of human intestine cell constitution and functions, which would be helpful for a better understanding of human intestine disorders, such as inflammatory bowel disease and intestinal tumorigenesis.

scholarly journals Revised International Staging System (R-ISS) stage-dependent analysis uncovers oncogenes and potential immunotherapeutic targets in multiple myeloma

2021 ◽  
Author(s):  
Ling Zhong ◽  
Xinwei Yuan ◽  
Qian Zhang ◽  
Tao Jiang ◽  
Huan Li ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Single Cell ◽  
Cell Communication ◽  
Staging System ◽  
Nkt Cells ◽  
Regulatory Subunit ◽  
Specific Marker ◽  
International Staging System ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

AbstractMultiple myeloma (MM), characterized by high intratumour heterogeneity, accounts for ∼10% of all haematologic malignancies. Stratified by the Revised International Staging System (R-ISS), little is known about R-ISS-related plasma cell (PC) heterogeneity, gene expression modules in cytotoxic T/NK cells and immunoregulatory ligands and receptors. Herein, we constructed a single-cell transcriptome atlas of bone marrow in normal and R-ISS-staged MM patients. Focusing on PCs, we identified and validated a subset of GZMA+ cytotoxic PCs. In addition, a malignant PC population with high proliferation capability (proliferating PCs) was associated with unfavourable prognosis and EBV infection in our collected samples. Ribonucleotide Reductase Regulatory Subunit M2 (RRM2), a specific marker of proliferating PCs, was shown to induce MM cell line proliferation and serve as a detrimental marker in MM. Subsequently, three R-ISS-dependent gene modules in cytotoxic CD8+ T and NKT cells were identified and functionally analysed. Finally, cell-cell communication between neutrophils and proliferating PCs with cytotoxic CD8+ T and NKT cells was investigated, which identified intercellular ligand receptors and potential immunotargets such as SIRPA-CD47 and TIGIT-NECTIN3. Collectively, this study provides an R-ISS-related single-cell MM atlas and reveals the clinical significance of two PC clusters, as well as potential immunotargets in MM progression.

scholarly journals Single cell transcriptome atlas of the Drosophila larval brain

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Clarisse Brunet Avalos ◽  
G Larisa Maier ◽  
Rémy Bruggmann ◽  
Simon G Sprecher
Keyword(s):  
Single Cell ◽  
Cell Types ◽  
Marker Genes ◽  
Neural Cells ◽  
Larval Brain ◽  
Cell Diversity ◽  
Transcriptional Changes ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome ◽  
The Brain

Cell diversity of the brain and how it is affected by starvation, remains largely unknown. Here, we introduce a single cell transcriptome atlas of the entire Drosophila first instar larval brain. We first assigned cell-type identity based on known marker genes, distinguishing five major groups: neural progenitors, differentiated neurons, glia, undifferentiated neurons and non-neural cells. All major classes were further subdivided into multiple subtypes, revealing biological features of various cell-types. We further assessed transcriptional changes in response to starvation at the single-cell level. While after starvation the composition of the brain remains unaffected, transcriptional profile of several cell clusters changed. Intriguingly, different cell-types show very distinct responses to starvation, suggesting the presence of cell-specific programs for nutrition availability. Establishing a single-cell transcriptome atlas of the larval brain provides a powerful tool to explore cell diversity and assess genetic profiles from developmental, functional and behavioral perspectives.

scholarly journals Mesenchymal stromal cells in the bone marrow niche consist of multi-populations with distinct transcriptional and epigenetic properties

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sanshiro Kanazawa ◽  
Hiroyuki Okada ◽  
Hironori Hojo ◽  
Shinsuke Ohba ◽  
Junichi Iwata ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bone Marrow ◽  
Single Cell ◽  
Expression Profiles ◽  
Marker Genes ◽  
Mouse Bone Marrow ◽  
Bone Marrow Niche ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

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.

Time to map single cell transcriptome for a whole organism

Blood Science ◽  
2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Ping Zhu ◽  
Tao Cheng
Keyword(s):  
Single Cell ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

scholarly journals Single cell transcriptome atlas of mouse mammary epithelial cells across development

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Bhupinder Pal ◽  
Yunshun Chen ◽  
Michael J. G. Milevskiy ◽  
François Vaillant ◽  
Lexie Prokopuk ◽  
...  
Keyword(s):  
Epithelial Cells ◽  
Single Cell ◽  
Developmental Stages ◽  
Mammary Epithelial Cells ◽  
Expression Profiles ◽  
Single Cells ◽  
Chromatin Accessibility ◽  
Mammary Epithelial ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome

Abstract Background Heterogeneity within the mouse mammary epithelium and potential lineage relationships have been recently explored by single-cell RNA profiling. To further understand how cellular diversity changes during mammary ontogeny, we profiled single cells from nine different developmental stages spanning late embryogenesis, early postnatal, prepuberty, adult, mid-pregnancy, late-pregnancy, and post-involution, as well as the transcriptomes of micro-dissected terminal end buds (TEBs) and subtending ducts during puberty. Methods The single cell transcriptomes of 132,599 mammary epithelial cells from 9 different developmental stages were determined on the 10x Genomics Chromium platform, and integrative analyses were performed to compare specific time points. Results The mammary rudiment at E18.5 closely aligned with the basal lineage, while prepubertal epithelial cells exhibited lineage segregation but to a less differentiated state than their adult counterparts. Comparison of micro-dissected TEBs versus ducts showed that luminal cells within TEBs harbored intermediate expression profiles. Ductal basal cells exhibited increased chromatin accessibility of luminal genes compared to their TEB counterparts suggesting that lineage-specific chromatin is established within the subtending ducts during puberty. An integrative analysis of five stages spanning the pregnancy cycle revealed distinct stage-specific profiles and the presence of cycling basal, mixed-lineage, and 'late' alveolar intermediates in pregnancy. Moreover, a number of intermediates were uncovered along the basal-luminal progenitor cell axis, suggesting a continuum of alveolar-restricted progenitor states. Conclusions This extended single cell transcriptome atlas of mouse mammary epithelial cells provides the most complete coverage for mammary epithelial cells during morphogenesis to date. Together with chromatin accessibility analysis of TEB structures, it represents a valuable framework for understanding developmental decisions within the mouse mammary gland.

scholarly journals Single-cell transcriptome sequencing analysis reveals gynaecomastia to breast cancer transition

The Breast ◽  
2021 ◽  
Vol 56 ◽  
pp. S26
Author(s):  
H. Sun ◽  
C. Yang ◽  
Z. Wang ◽  
L. Shi ◽  
T. Xia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Single Cell ◽  
Transcriptome Sequencing ◽  
Sequencing Analysis ◽  
Cell Transcriptome ◽  
Single Cell Transcriptome
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