Single cell gene expression analysis of circulating tumor cells in ovarian cancer reveals CTCs co-expressing stem cell and mesenchymal markers

2016 ◽  
Vol 76 (10) ◽  
Author(s):  
C Blassl ◽  
JD Kuhlmann ◽  
A Webers ◽  
P Wimberger ◽  
T Fehm ◽  
...  
Keyword(s):  
Gene Expression ◽  
Ovarian Cancer ◽  
Stem Cell ◽  
Single Cell ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Cell Gene Expression ◽  
Cell Gene

scholarly journals Resolution of Cell Fate Decisions Revealed by Single-Cell Gene Expression Analysis from Zygote to Blastocyst

2010 ◽  
Vol 18 (4) ◽  
pp. 675-685 ◽  
Author(s):  
Guoji Guo ◽  
Mikael Huss ◽  
Guo Qing Tong ◽  
Chaoyang Wang ◽  
Li Li Sun ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Cell Fate ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Cell Fate Decisions ◽  
Cell Gene Expression ◽  
Cell Gene

scholarly journals Single-cell molecular analysis defines therapy response and immunophenotype of stem cell subpopulations in CML

Blood ◽  
2017 ◽  
Vol 129 (17) ◽  
pp. 2384-2394 ◽  
Author(s):  
Rebecca Warfvinge ◽  
Linda Geironson ◽  
Mikael N. E. Sommarin ◽  
Stefan Lang ◽  
Christine Karlsson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Single Cell ◽  
Gene Expression Analysis ◽  
Therapy Response ◽  
Cell Heterogeneity ◽  
Key Points ◽  
Cell Gene Expression ◽  
Cell Subpopulations ◽  
Cell Gene

Key Points Single-cell gene expression analysis reveals CML stem cell heterogeneity and changes imposed by TKI therapy. A subpopulation with primitive, quiescent signature and increased survival to therapy can be high-purity captured as CD45RA−cKIT−CD26+.

scholarly journals Bovine lineage specification revealed by single-cell gene expression analysis from zygote to blastocyst†

2017 ◽  
Vol 97 (1) ◽  
pp. 5-17 ◽  
Author(s):  
Qingqing Wei ◽  
Liang Zhong ◽  
Shaopeng Zhang ◽  
Haiyuan Mu ◽  
Jinzhu Xiang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Lineage Specification ◽  
Cell Gene Expression ◽  
Cell Gene

scholarly journals A bead-based microfluidic approach to integrated single-cell gene expression analysis by quantitative RT-PCR

RSC Advances ◽  
2015 ◽  
Vol 5 (7) ◽  
pp. 4886-4893 ◽  
Author(s):  
Hao Sun ◽  
Tim Olsen ◽  
Jing Zhu ◽  
Jianguo Tao ◽  
Brian Ponnaiya ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Single Cell Level ◽  
Rt Pcr ◽  
Cell Level ◽  
P Gene ◽  
Cell Gene Expression ◽  
Cell Gene

Gene expression analysis at the single-cell level is critical to understanding variations among cells in heterogeneous populations.

scholarly journals Single Cell Gene Expression Analysis and 3‐D Mapping of Cardiac Ganglia

2018 ◽  
Vol 32 (S1) ◽  
Author(s):  
Sirisha Achanta ◽  
Jonathan Gorky ◽  
Laura Cahill ◽  
Shaina Robbins ◽  
James Schwaber ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Cardiac Ganglia ◽  
Cell Gene Expression ◽  
Cell Gene
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