scholarly journals Spatial Distribution of Cellular Function: The Partitioning of Proteins between Mitochondria and the Nucleus in MCF7 Breast Cancer Cells

2012 ◽  
Vol 11 (12) ◽  
pp. 6080-6101 ◽  
Author(s):  
Amal T. Qattan ◽  
Marko Radulovic ◽  
Mark Crawford ◽  
Jasminka Godovac-Zimmermann
Keyword(s):  
Breast Cancer ◽  
Spatial Distribution ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Cellular Function

scholarly journals A semi-automated machine learning-aided approach to quantitative analysis of centrosomes and microtubule organization

2020 ◽  
Author(s):  
Divya Ganapathi Sankaran ◽  
Bharath Hariharan ◽  
Chad G. Pearson
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Spatial Distribution ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Automated Analysis ◽  
Cellular Functions ◽  
Microtubule Organization ◽  
Graphical Tool ◽  
Pericentriolar Material

ABSTRACTMicrotubules (MTs) perform important cellular functions including migration, intracellular trafficking, and chromosome segregation. The centrosome, comprised of two centrioles surrounded by the pericentriolar material (PCM), is the cell’s central MT organizing center. The PCM proteins, including γ-tubulin and Pericentrin, promote MT nucleation and organization. Centrosomes in cancer cells are commonly numerically amplified. However, the question of how amplification of centrosomes alters the MT organization capacity is not well-studied. We developed a quantitative image-processing and machine learning-aided approach for the automated analysis of MT organization. We designed a convolutional neural network-based approach for detecting centrosomes and an automated pipeline for analyzing MT organization around centrosomes, encapsulated in a semi-automatic graphical tool. Using this tool, we analyzed the spatial distribution of PCM proteins, the growing ends of MTs and the total MT density in breast cancer cells. We find that breast cancer cells with supernumerary centrosomes not only have increased PCM protein but also exhibit expansion in PCM size. Moreover, centrosome amplified cells have a greater MT density and more growing MT ends near centrosomes than unamplified cells. The semi-automated approach developed here enables facile, unbiased and quantitative measurements of centrosome aberrations. We show that these aberrations increase MT nucleation and promote changes to MT density and the spatial distribution of MTs around amplified centrosomes.

The proliferation of breast cancer cells are inhibited by the human intrabody targeting cyclinD1

2010 ◽  
Vol 34 (8) ◽  
pp. S49-S49
Author(s):  
Lei Wang ◽  
Xun Zhou ◽  
Lihong Zhou ◽  
Yong Chen ◽  
Xun Zhu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells

Asperjinone, a norneolignan, and terrein, a suppressor of ABCG2-expressing breast cancer cells, from Aspergillus terreus

Planta Medica ◽  
2012 ◽  
Vol 78 (11) ◽  
Author(s):  
WY Liao ◽  
CN Shen ◽  
LH Lin ◽  
YL Yang ◽  
HY Han ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Aspergillus Terreus
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