Integrated miRNA and mRNA analysis of time series microarray data
Year: 2014
Type: conference-paper
Abstract: The dynamic temporal regulatory effects of microRNA are not well known. We introduce a technique for integrating miRNA and mRNA time series microarray data with known disease pathology. The integrated analysis includes identifying both mRNA and miRNA that are significantly similar to the quantitative pathology. Potential regulatory miRNA/mRNA target pairs are identified through databases of both predicted and validated pairs. Finally, potential target pairs are filtered by examining the second derivatives of the fold changes over time. Our system was used on genome-wide microarray expression data of mouse lungs (n = 160) following aspiration of multi-walled carbon nanotubes. This system shows promise of readily identifying miRNA for further study as potential biomarker use.
Authors: Julian Dymacek, Nancy Lan Guo
Institution: West Virginia University
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: green
Awards: G1739031488, Systematic assessment of multi-walled carbon nanotubes in pulmonary disease, A Novel Computational Framework for individualized clinical decision-making, West Virginia Clinical and Translational Science Institute: A Statewide Organization Building Research Excellence and Engaging Communities to Improve Health
OpenAlex ID: W1996159016