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Multiomics Approach to the Systems Biology for Understanding Drug Mechanism and Diseases
Abstract
At this stage of 21st century big data science is shaping our future. Now doctors and scientists are more aware of the realm of precision medicine and personalized medications. The use of improved technologies like nuclear magnetic resonance (NMR), mass spectrometry (MS), high throughput automation techniques, and single cell analysis tools help us characterize cell composition, cell-communication, and metabolism. Therefore all these technologies and advancements enabled the improvement in precision medicine. Omics science initially functions by detection of proteins, small molecules, transcripts or genes. Then chemo-metrics is used to examine these complex biological mixtures. After this, an omics scientist can take the results of this big data science and interpret it with biological network maps to make a conclusion. This dissertation talks about three main topics that enable better systems biology by (i) expanding the detectable metabolome with use of different analytical platforms, (ii) improving robust and efficient data acquisition methods for this work, and (iii) implementation of multi-omics into systems biology for precise measurements.
Subject Area
Chemistry|Biochemistry|Analytical chemistry
Recommended Citation
Sakallioglu, Isin Tuna, "Multiomics Approach to the Systems Biology for Understanding Drug Mechanism and Diseases" (2022). ETD collection for University of Nebraska-Lincoln. AAI29998489.
https://digitalcommons.unl.edu/dissertations/AAI29998489