scholarly journals Functional single cell proteomic profiling of cells with abnormal DNA damage response dynamics

2021 ◽  
Author(s):  
Pin-Rui Su ◽  
Li You ◽  
Cecile Beerens ◽  
Karel Bezstarosti ◽  
Jeroen Demmers ◽  
...  

Tumor heterogeneity is an important source of cancer therapy resistance. Single cell proteomics has the potential to decipher protein content leading to heterogeneous cellular phenotypes. Single-Cell ProtEomics by Mass Spectrometry (SCoPE-MS) is a recently developed, promising, unbiased proteomic profiling techniques, which allows profiling several tens of single cells for >1000 proteins per cell. However, a method to link single cell proteomes with cellular behaviors is needed to advance this type of profiling technique. Here, we developed a microscopy-based functional single cell proteomic profiling technology, called FUNpro, to link the proteome of individual cells with phenotypes of interest, even if the phenotypes are dynamic or the cells of interest are sparse. FUNpro enables one i) to screen thousands of cells with subcellular resolution and monitor (intra)cellular dynamics using a custom-built microscope, ii) to real-time analyze (intra)cellular dynamics of individual cells using an integrated cell tracking algorithm, iii) to promptly isolate the cells displaying phenotypes of interest, and iv) to single cell proteomically profile the isolated cells. We applied FUNpro to proteomically profile a newly identified small subpopulation of U2OS osteosarcoma cells displaying an abnormal, prolonged DNA damage response (DDR) after ionizing radiation (IR). With this, we identified PDS5A and PGAM5 proteins contributing to the abnormal DDR dynamics and helping the cells survive after IR.

2021 ◽  
Vol 7 (3) ◽  
pp. eabe3882
Author(s):  
Jenny F. Nathans ◽  
James A. Cornwell ◽  
Marwa M. Afifi ◽  
Debasish Paul ◽  
Steven D. Cappell

The G1-S checkpoint is thought to prevent cells with damaged DNA from entering S phase and replicating their DNA and efficiently arrests cells at the G1-S transition. Here, using time-lapse imaging and single-cell tracking, we instead find that DNA damage leads to highly variable and divergent fate outcomes. Contrary to the textbook model that cells arrest at the G1-S transition, cells triggering the DNA damage checkpoint in G1 phase route back to quiescence, and this cellular rerouting can be initiated at any point in G1 phase. Furthermore, we find that most of the cells receiving damage in G1 phase actually fail to arrest and proceed through the G1-S transition due to persistent cyclin-dependent kinase (CDK) activity in the interval between DNA damage and induction of the CDK inhibitor p21. These observations necessitate a revised model of DNA damage response in G1 phase and indicate that cells have a G1 checkpoint.


2016 ◽  
Vol 118 (5) ◽  
pp. 1164-1173 ◽  
Author(s):  
José Carlos Páez-Franco ◽  
Ignacio González-Sánchez ◽  
Nora A. Gutiérrez-Nájera ◽  
Lilián G. Valencia-Turcotte ◽  
Alfonso Lira-Rocha ◽  
...  

2015 ◽  
Vol 26 (22) ◽  
pp. 3940-3945 ◽  
Author(s):  
Laura Lande-Diner ◽  
Jacob Stewart-Ornstein ◽  
Charles J. Weitz ◽  
Galit Lahav

Tracking molecular dynamics in single cells in vivo is instrumental to understanding how cells act and interact in tissues. Current tissue imaging approaches focus on short-term observation and typically nonendogenous or implanted samples. Here we develop an experimental and computational setup that allows for single-cell tracking of a transcriptional reporter over a period of >1 wk in the context of an intact tissue. We focus on the peripheral circadian clock as a model system and measure the circadian signaling of hundreds of cells from two tissues. The circadian clock is an autonomous oscillator whose behavior is well described in isolated cells, but in situ analysis of circadian signaling in single cells of peripheral tissues is as-yet uncharacterized. Our approach allowed us to investigate the oscillatory properties of individual clocks, determine how these properties are maintained among different cells, and assess how they compare to the population rhythm. These experiments, using a wide-field microscope, a previously generated reporter mouse, and custom software to track cells over days, suggest how many signaling pathways might be quantitatively characterized in explant models.


CYTOLOGIA ◽  
2013 ◽  
Vol 78 (2) ◽  
pp. 195-202
Author(s):  
Alfredo Santana ◽  
Nestor Vicente-salar ◽  
Raimundo Freire ◽  
Juan A Reig ◽  
Enrique Roche

PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0129438 ◽  
Author(s):  
Walter Georgescu ◽  
Alma Osseiran ◽  
Maria Rojec ◽  
Yueyong Liu ◽  
Maxime Bombrun ◽  
...  

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