January 05, 2018: Sumona Mondal

Cell Dynamics Analysis to Assess Hypoxic Damage and Recovery
by
Sumona Mondal
         Associate Professor, Department of Mathematics,
         Clarkson University, New York
         Email: smondal@clarkson.edusumona.mondal@gmail.com         

URL: https://www.clarkson.edu/node/5916
 

 

Date: Friday, January 5, 2018

Time: 15:00 HRS
Venue: ECSU Seminar Room, 9th Floor, S N Bose Bhavan (Library Building)

Abstract

Fast detection and early intervention of hypoxia is considered as the key to minimize tissue damage. In order to develop a model for fast and accurate assessment of hypoxic injury, we induced hypoxia in cultured human cervical cancer cells by administration of sodium sulfite and recorded cell velocity using time-lapse imaging. In addition, the same approach was used to investigate any potential benefit of hydrogen sulfide treatment on hypoxic injury.

While hypoxia caused an immediate and marked slowdown of cell velocity, the major challenge was to meaningfully interpret the recovery period after hydrogen sulfide treatment as this phase elicited a highly broad response. A variety of clustering techniques on the time series of velocity data have provided methods that were able to separate cells into groups based solely on velocity response following therapy. The clustering divided the entire cell population into two groups of roughly equal size, where one group fully recovers with the administered t herapy and the other group demonstrates only partially recovery. Identifying the existence of two distinct populations within apparently homogeneous cervical cancer cells will motivate experimental research to find the possible biological basis underlying such difference. 

Brief Biography: Mondal joined Clarkson in 2007 after graduating from University of Louisiana at Lafayette with a Ph.D. degree in statistics. She received her bachelor of science and master of science in statistics from the University of Calcutta, India. 

Mondal's principal research interest is in the area of constructions of tolerance regions for some multivariate linear models, which is a blend of multivariate data analysis and inferential procedures. The central theme of her research is to develop tolerance factors for multivariate normal distributions and construct tolerance regions for multiple and multivariate linear regression models. In other words, Mondal uses probability theory and statistical inference to determine at what point an engineering project might fail or to assess pollution level in a workplace. 

She is also involved in the formulation of theoretical problems as well as development of statistical methodologies for problems related to bio-engineering, environmental sciences, physical therapy, etc. Mondal is an active member in the scientific community, publishing regularly in statistics, mathematics, and engineering journals and giving more than 27 talks in national and international conferences and she has published several research papers in international journals.

All are cordially invited.

Dipti Prasad Mukherjee
Head, Electronics and Communication Sciences Unit