scholarly journals On the origin and impact of mesenchymal stem cell heterogeneity: new insights and emerging tools for single cell analysis

2017 ◽  
Vol 34 ◽  
pp. 217-231 ◽  
Author(s):  
CM McLeod ◽  
◽  
RL Mauck
Keyword(s):  
Stem Cell ◽  
Mesenchymal Stem Cell ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Cell Heterogeneity

scholarly journals Single-cell analysis reveals cancer stem cell heterogeneity in hepatocellular carcinoma

Hepatology ◽  
2018 ◽  
Vol 68 (1) ◽  
pp. 127-140 ◽  
Author(s):  
Hongping Zheng ◽  
Yotsawat Pomyen ◽  
Maria Olga Hernandez ◽  
Caiyi Li ◽  
Ferenc Livak ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Cell Heterogeneity

scholarly journals Colorectal Cancer Stem Cell States Uncovered by Simultaneous Single‐Cell Analysis of Transcriptome and Telomeres

2021 ◽  
Vol 8 (8) ◽  
pp. 2004320
Author(s):  
Hua Wang ◽  
Peng Gong ◽  
Tong Chen ◽  
Shan Gao ◽  
Zhenfeng Wu ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Stem Cell ◽  
Cancer Stem Cell ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis

scholarly journals Single-cell analysis of diversity in human stem cell-derived neurons

2017 ◽  
Vol 371 (1) ◽  
pp. 171-179 ◽  
Author(s):  
Lise J. Harbom ◽  
Nadine Michel ◽  
Michael J. McConnell
Keyword(s):  
Stem Cell ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Human Stem Cell

scholarly journals Single-Cell Analysis of the Impact of Host Cell Heterogeneity on Infection with Foot-and-Mouth Disease Virus

2018 ◽  
Vol 92 (9) ◽  
pp. e00179-18 ◽  
Author(s):  
Xiu Xin ◽  
Hailong Wang ◽  
Lingling Han ◽  
Mingzhen Wang ◽  
Hui Fang ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Single Cell ◽  
Host Cell ◽  
Cell Size ◽  
Single Cell Analysis ◽  
Foot And Mouth Disease ◽  
Cell Analysis ◽  
Cell Heterogeneity ◽  
Mouth Disease Virus ◽  
Foot And Mouth

ABSTRACTViral infection and replication are affected by host cell heterogeneity, but the mechanisms underlying the effects remain unclear. Using single-cell analysis, we investigated the effects of host cell heterogeneity, including cell size, inclusion, and cell cycle, on foot-and-mouth disease virus (FMDV) infection (acute and persistent infections) and replication. We detected various viral genome replication levels in FMDV-infected cells. Large cells and cells with a high number of inclusions generated more viral RNA copies and viral protein and a higher proportion of infectious cells than other cells. Additionally, we found that the viral titer was 10- to 100-fold higher in cells in G2/M than those in other cell cycle phases and identified a strong correlation between cell size, inclusion, and cell cycle heterogeneity, which all affected the infection and replication of FMDV. Furthermore, we demonstrated that host cell heterogeneity influenced the adsorption of FMDV due to differences in the levels of FMDV integrin receptors expression. Collectively, these results further our understanding of the evolution of a virus in a single host cell.IMPORTANCEIt is important to understand how host cell heterogeneity affects viral infection and replication. Using single-cell analysis, we found that viral genome replication levels exhibited dramatic variability in foot-and-mouth disease virus (FMDV)-infected cells. We also found a strong correlation between heterogeneity in cell size, inclusion number, and cell cycle status and that all of these characteristics affect the infection and replication of FMDV. Moreover, we found that host cell heterogeneity influenced the viral adsorption as differences in the levels of FMDV integrin receptors' expression. This study provided new ideas for the studies of correlation between FMDV infection mechanisms and host cells.

scholarly journals Single-cell analysis reveals a stem-cell program in human metastatic breast cancer cells

Nature ◽  
2015 ◽  
Vol 526 (7571) ◽  
pp. 131-135 ◽  
Author(s):  
Devon A. Lawson ◽  
Nirav R. Bhakta ◽  
Kai Kessenbrock ◽  
Karin D. Prummel ◽  
Ying Yu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Stem Cell ◽  
Metastatic Breast Cancer ◽  
Single Cell ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Single Cell Analysis ◽  
Metastatic Breast ◽  
Cell Analysis

Abstract 3339: Single-cell analysis reveals molecular mechanisms of NRAS-mediated leukemia stem cell self-renewal in a murine model of AML

2016 ◽  
Author(s):  
Rebecca S. LaRue ◽  
Klara E. Noble-Orcutt ◽  
Conner Hansen ◽  
Ngoc Ha ◽  
David A. Largaespada ◽  
...  
Keyword(s):  
Stem Cell ◽  
Single Cell ◽  
Murine Model ◽  
Molecular Mechanisms ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Self Renewal ◽  
Leukemia Stem Cell

Understanding tumor cell heterogeneity and its implication for immunotherapy in liver cancer by single cell analysis

2020 ◽  
Author(s):  
Sophia Heinrich ◽  
Amanda J. Craig ◽  
Lichun Ma ◽  
Bernd Heinrich ◽  
Tim F. Greten ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Tumor Cell ◽  
Single Cell ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Cell Heterogeneity ◽  
Tumor Cell Heterogeneity

scholarly journals Single-cell analyses uncover granularity of muscle stem cells

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 31 ◽  
Author(s):  
John Saber ◽  
Alexander Y.T. Lin ◽  
Michael A. Rudnicki
Keyword(s):  
Single Cell ◽  
Cell Fate ◽  
Satellite Cells ◽  
Muscle Regeneration ◽  
Single Cell Analysis ◽  
Cell Analysis ◽  
Cell Heterogeneity ◽  
Muscle Stem Cells ◽  
Cell Fate Decisions ◽  
Cell Groups

Satellite cells are the main muscle-resident cells responsible for muscle regeneration. Much research has described this population as being heterogeneous, but little is known about the different roles each subpopulation plays. Recent advances in the field have utilized the power of single-cell analysis to better describe and functionally characterize subpopulations of satellite cells as well as other cell groups comprising the muscle tissue. Furthermore, emerging technologies are opening the door to answering as-yet-unresolved questions pertaining to satellite cell heterogeneity and cell fate decisions.

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