Abstract LB-418: A live-cell miRNA reporter library for identifying non-genetic drug resistance networks at single-cell resolution

Author(s):  
Gregory Leya ◽  
John Albeck ◽  
Joan Brugge
The Analyst ◽  
2018 ◽  
Vol 143 (1) ◽  
pp. 164-174 ◽  
Author(s):  
Yong Zhang ◽  
Ludi Jin ◽  
Jingjing Xu ◽  
Yuezhou Yu ◽  
Lin Shen ◽  
...  

Drug resistance and heterogeneous characteristics of human gastric carcinoma cells (BGC823) under the treatment of paclitaxel (PTX) were investigated using single-cell Raman spectroscopy (RS).


Methods ◽  
2018 ◽  
Vol 133 ◽  
pp. 81-90 ◽  
Author(s):  
Katja M. Piltti ◽  
Brian J. Cummings ◽  
Krystal Carta ◽  
Ayla Manughian-Peter ◽  
Colleen L. Worne ◽  
...  

Lab on a Chip ◽  
2014 ◽  
Vol 14 (13) ◽  
pp. 2226-2239 ◽  
Author(s):  
N. Zurgil ◽  
O. Ravid-Hermesh ◽  
Y. Shafran ◽  
S. Howitz ◽  
E. Afrimzon ◽  
...  

Micro-arrayed donut-shaped chambers (DSCs) in a range of volumes (fL to nL) have been developed and produced for various biochemical reaction measurements and offer an inexpensive and simple system for live cell analysis and the corresponding single cell content.


2010 ◽  
Vol 13 (2) ◽  
pp. 291-301 ◽  
Author(s):  
Guido Bartalena ◽  
Reto Grieder ◽  
Ram I. Sharma ◽  
Tomaso Zambelli ◽  
Roman Muff ◽  
...  

2017 ◽  
Vol 33 (3) ◽  
pp. 207-210 ◽  
Author(s):  
William Wang ◽  
Xiangdong Wang
Keyword(s):  

2013 ◽  
Vol 304 (10) ◽  
pp. C927-C938 ◽  
Author(s):  
Lindsay Henderson ◽  
Dante S. Bortone ◽  
Curtis Lim ◽  
Alexander C. Zambon

Many common, important diseases are either caused or exacerbated by hyperactivation (e.g., cancer) or inactivation (e.g., heart failure) of the cell division cycle. A better understanding of the cell cycle is critical for interpreting numerous types of physiological changes in cells. Moreover, new insights into how to control it will facilitate new therapeutics for a variety of diseases and new avenues in regenerative medicine. The progression of cells through the four main phases of their division cycle [G0/G1, S (DNA synthesis), G2, and M (mitosis)] is a highly conserved process orchestrated by several pathways (e.g., transcription, phosphorylation, nuclear import/export, and protein ubiquitination) that coordinate a core cell cycle pathway. This core pathway can also receive inputs that are cell type and cell niche dependent. “Broken cell” methods (e.g., use of labeled nucleotide analogs) to assess for cell cycle activity have revealed important insights regarding the cell cycle but lack the ability to assess living cells in real time (longitudinal studies) and with single-cell resolution. Moreover, such methods often require cell synchronization, which can perturb the pathway under study. Live cell cycle sensors can be used at single-cell resolution in living cells, intact tissue, and whole animals. Use of these more recently available sensors has the potential to reveal physiologically relevant insights regarding the normal and perturbed cell division cycle.


2018 ◽  
Author(s):  
Clare Rebbeck ◽  
Florian Raths ◽  
Bassem Ben Cheik ◽  
Kenneth Gouin ◽  
Gregory J. Hannon ◽  
...  

AbstractMolecular barcoding has provided means to link genotype to phenotype, to individuate cells in single-cell analyses, to enable the tracking of evolving lineages, and to facilitate the analysis of complex mixtures containing phenotypically distinct lineages. To date, all existing approaches enable retrospective associations to be made between characteristics and the lineage harbouring them, but provide no path toward isolating or manipulating those lineages within the complex mixture. Here, we describe a strategy for creating functionalized barcodes that enable straightforward manipulation of lineages within complex populations of cells, either marking and retrieval of selected lineages, or modification of their phenotype within the population, including their elimination. These “SmartCodes” rely on a simple CRISPR-based, molecular barcode reader that can switch measurable, or selectable markers, on or off in a binary fashion. While this approach could have broad impact, we envision initial approaches to the study of tumour heterogeneity, focused on issues of tumour progression, metastasis, and drug resistance.


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