Experimental evaluation of system performance

1973 ◽  
Vol 12 (3) ◽  
pp. 302-314 ◽  
Author(s):  
Y. Bard
2022 ◽  
Vol 305 ◽  
pp. 117816
Author(s):  
Ranjith Kandasamy ◽  
Jin Yao Ho ◽  
Pengfei Liu ◽  
Teck Neng Wong ◽  
Kok Chuan Toh ◽  
...  

1992 ◽  
Vol 37 (2) ◽  
pp. 120 ◽  
Author(s):  
Elizabeth Walmsley ◽  
Colin Fletcher ◽  
John Delaney

2015 ◽  
Vol 33 (4) ◽  
pp. 315-328 ◽  
Author(s):  
Yizhou He ◽  
Siyang Liu ◽  
Zhen Gao ◽  
Gaofeng Cui ◽  
Weidong Wang

2019 ◽  
Author(s):  
Y Akimov ◽  
D Bulanova ◽  
M Abyzova ◽  
K Wennerberg ◽  
T Aittokallio

AbstractThe genetic and functional heterogeneity of tumors imposes the challenge of understanding how a cancer progresses, evolves and adapts to treatment at the subclonal level. Therefore, there is a critical need for methods that enable profiling of individual cancer cell lineages. Here, we report a novel system that couples an established DNA barcoding technique for lineage tracing with a controlled DNA barcode-guided lineage isolation (B-GLI). B-GLI allows both high-complexity of lineage tracing and effective isolation of individual clones by CRISPRa-mediated induction of puromycin resistance, making it possible to unbiasedly trace, isolate, and study individual cancer cell lineages. We present experimental evaluation of the system performance in isolation of lineages and outline a comprehensive workflow for B-GLI applications. We believe the system has broad applications aimed at molecular and phenotypic profiling of individual lineages in heterogeneous cell populations.


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