TY - JOUR
T1 - Cell-to-cell influence on growth in large populations
AU - Kandel, Mikhail E.
AU - Lu, Wenlong
AU - Liang, Jon
AU - Aydin, Onur
AU - Saif, Taher A.
AU - Popescu, Gabriel
N1 - National Science Foundation (CBET-0939511 STC, NRT-UtB 1735252); National Institute of General Medical Sciences (GM129709).
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Recent studies have revealed the importance of outlier cells in complex cellular systems. Quantifying heterogeneity in such systems may lead to a better understanding of organ engineering, microtumor growth, and disease models, as well as more precise drug design. We used the ability of quantitative phase imaging to perform long-term imaging of cell growth to estimate the “influence” of cellular clusters on their neighbors. We validated our approach by analyzing epithelial and fibroblast cultures imaged over the course of several days. Interestingly, we found that there is a significant number of cells characterized by a medium correlation between their growth rate and distance (modulus of the Pearson coefficient between 0.25-.5). Furthermore, we found a small percentage of cells exhibiting strong such correlations, which we label as “influencer” cellular clusters. Our approach might find important applications in studying dynamic phenomena, such as organogenesis and metastasis.
AB - Recent studies have revealed the importance of outlier cells in complex cellular systems. Quantifying heterogeneity in such systems may lead to a better understanding of organ engineering, microtumor growth, and disease models, as well as more precise drug design. We used the ability of quantitative phase imaging to perform long-term imaging of cell growth to estimate the “influence” of cellular clusters on their neighbors. We validated our approach by analyzing epithelial and fibroblast cultures imaged over the course of several days. Interestingly, we found that there is a significant number of cells characterized by a medium correlation between their growth rate and distance (modulus of the Pearson coefficient between 0.25-.5). Furthermore, we found a small percentage of cells exhibiting strong such correlations, which we label as “influencer” cellular clusters. Our approach might find important applications in studying dynamic phenomena, such as organogenesis and metastasis.
UR - http://www.scopus.com/inward/record.url?scp=85078699369&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078699369&partnerID=8YFLogxK
U2 - 10.1364/BOE.10.004664
DO - 10.1364/BOE.10.004664
M3 - Article
C2 - 31565517
AN - SCOPUS:85078699369
SN - 2156-7085
VL - 10
SP - 4664
EP - 4675
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 9
ER -