New computational and biological protocols to better understand fungi using synthetic and systems biology
| dc.contributor.advisor | Marten, Mark R Srivastava, Ranjan | |
| dc.contributor.author | Edwards, Harley Lee | |
| dc.contributor.department | Chemical, Biochemical & Environmental Engineering | |
| dc.contributor.program | Engineering, Chemical and Biochemical | |
| dc.date.accessioned | 2025-09-24T14:07:01Z | |
| dc.date.issued | 2025-01-01 | |
| dc.description.abstract | Genetic engineering through synthetic biology, and systems biology through omics data analysis, are two areas of research which have potential applications in all domains of life. These fields encompass the entire search space of biological life, where genotypic possibilities and combinatorial molecular interactions are greater in number than there are humans on this planet. This work examines novel frontiers in both technologies in the scope of fungal host-cell platforms, with the hope of developing new knowledge and protocols which have potential applications in all of biology. Chapters 2 and 3 are studies in synthetic biology in Y. lipolytica, where chapters 4 and 5 are studies involving systems biology in A. nidulans. Chapters 2 and 4 are computationally focused, whereas chapters 3 and 5 focus on biological phenomena. Together, these chapters will introduce you to the research development cycle of synthetic and systems biology, from synthetic gene network simulation and genetic pathway manipulation to systems scale data analysis used for data driven hypotheses in fungal systems biology. | |
| dc.format | application:pdf | |
| dc.genre | dissertation | |
| dc.identifier | doi:10.13016/m2syr8-njlj | |
| dc.identifier.other | 13108 | |
| dc.identifier.uri | http://hdl.handle.net/11603/40251 | |
| dc.language | en | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Chemical, Biochemical & Environmental Engineering Department Collection | |
| dc.relation.ispartof | UMBC Theses and Dissertations Collection | |
| dc.relation.ispartof | UMBC Graduate School Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu | |
| dc.source | Original File Name: Edwards_umbc_0434D_13108.pdf | |
| dc.subject | CRISPR | |
| dc.subject | Fungal Morphology | |
| dc.subject | Proteomics | |
| dc.subject | Synthetic Biology | |
| dc.subject | Systems Biology | |
| dc.subject | Transcriptomics | |
| dc.title | New computational and biological protocols to better understand fungi using synthetic and systems biology | |
| dc.type | Text | |
| dcterms.accessRights | Distribution Rights granted to UMBC by the author. |
