Identifying actively expressed genes in the secretory pathway of Aspergillus niger through comparative analysis of a large set of transcriptomic data.
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Vries, Ronald de | |
dc.contributor.author | Jiang, Sindy | |
dc.date.accessioned | 2025-07-31T00:01:23Z | |
dc.date.available | 2025-07-31T00:01:23Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/49439 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | The fungus Aspergillus niger is a well-researched species that has been safely used in industrial settings for decades. However, there are still limitations to its secretion ability when upscaling for industry or expressing heterologous proteins. In this study, we analyzed the expression profiles of 64 genes associated with the classical secretion pathway. These genes were compared between relatively low and high secretion status during growth of A. niger in diverse conditions. | |
dc.title | Identifying actively expressed genes in the secretory pathway of Aspergillus niger through comparative analysis of a large set of transcriptomic data. | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Environmental Biology | |
dc.thesis.id | 40346 |