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postgraduate thesis: Selection of DNA-encoded chemical libraries (DELs) against cancer cells without predefined targets

TitleSelection of DNA-encoded chemical libraries (DELs) against cancer cells without predefined targets
Authors
Advisors
Advisor(s):Li, X
Issue Date2024
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Gui, Y. [桂语晗]. (2024). Selection of DNA-encoded chemical libraries (DELs) against cancer cells without predefined targets. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractDNA-encoded chemical library technology is emerging as an immensely powerful interrogation modality for hit generation in drug discovery. Albeit recent embodiments elaborate the capability of conventional DELs to conduct in the complex milieu of biological systems, however, the applications of DELs have been predominantly limited to beforehand designated targets. The selection against multiple targets, without a designated one, remains a challenge. Herein, we report a straightforward method, capable of profiling the intact cells unbiasedly, regardless prior knowledge of target molecules, to generate recognition ligands specifically to cell type of interest. We demonstrate the generality and utility of this approach by screening large scale DNA3 encoded chemical library against a panel of highly metastatic and low-metastatic breast cancer cells, and yield the discovery of clusters of probes and individual ligand for the specific recognition of aggressive MDA-MB-231 cells, with double-to- single-digit micromolar ligands binding affinity. This study highlights opportunities for the possibility to investigate multiplexed targets by harnessing the power of DEL in their native environment, possible paving the way to individualized cancer treatment in the future.
DegreeDoctor of Philosophy
SubjectCombinatorial chemistry
DNA - Synthesis
Drug targeting
Dept/ProgramChemistry
Persistent Identifierhttp://hdl.handle.net/10722/350343

 

DC FieldValueLanguage
dc.contributor.advisorLi, X-
dc.contributor.authorGui, Yuhan-
dc.contributor.author桂语晗-
dc.date.accessioned2024-10-23T09:46:20Z-
dc.date.available2024-10-23T09:46:20Z-
dc.date.issued2024-
dc.identifier.citationGui, Y. [桂语晗]. (2024). Selection of DNA-encoded chemical libraries (DELs) against cancer cells without predefined targets. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/350343-
dc.description.abstractDNA-encoded chemical library technology is emerging as an immensely powerful interrogation modality for hit generation in drug discovery. Albeit recent embodiments elaborate the capability of conventional DELs to conduct in the complex milieu of biological systems, however, the applications of DELs have been predominantly limited to beforehand designated targets. The selection against multiple targets, without a designated one, remains a challenge. Herein, we report a straightforward method, capable of profiling the intact cells unbiasedly, regardless prior knowledge of target molecules, to generate recognition ligands specifically to cell type of interest. We demonstrate the generality and utility of this approach by screening large scale DNA3 encoded chemical library against a panel of highly metastatic and low-metastatic breast cancer cells, and yield the discovery of clusters of probes and individual ligand for the specific recognition of aggressive MDA-MB-231 cells, with double-to- single-digit micromolar ligands binding affinity. This study highlights opportunities for the possibility to investigate multiplexed targets by harnessing the power of DEL in their native environment, possible paving the way to individualized cancer treatment in the future.-
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshCombinatorial chemistry-
dc.subject.lcshDNA - Synthesis-
dc.subject.lcshDrug targeting-
dc.titleSelection of DNA-encoded chemical libraries (DELs) against cancer cells without predefined targets-
dc.typePG_Thesis-
dc.description.thesisnameDoctor of Philosophy-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineChemistry-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2024-
dc.identifier.mmsid991044860751103414-

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