{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/95253"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/95253","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Peptide microarrays for the discovery of cell-ligand interactions that direct cell state","abstract":"During development, cells receive many cues from their environment. These cues, whether physical or chemical in nature, are able to regulate the behavior of cells from macroscale levels such as tissue organization, to microscale levels such as gene modifications. Synthetic materials are able to similarly affect cell phenotype, and recent advances in microarray technology has allowed the systematic investigation of a large combinatorial space of material properties. As we gain new insights on the effects of chemical structures and physical properties, controlling the interaction between these various components at the cell-material interface will be invaluable in developing new materials for biomedical devices and tissue engineering applications. The aim of this project is to develop a peptide array to screen for specific cell-ligand interactions. We synthesize a library of peptides that are derived from extracellular matrix proteins and serve as a highly scalable synthetic microenvironment. We demonstrate that by displaying combinations of peptides on the surface of self-assembled monolayers, we can affect stem and cancer stem cell fate. In chapter 2 we demonstrate that self-assembled monolayers provide a facile method for modulating cell phenotype. In chapter 3 we incorporate peptide ligands at the cell-monolayer interface and show that ligand affinity can regulate differentiation. In chapters 4 and 5 we present a high-throughput array platform that allows combinatorial investigation of a library of biomimetic peptides. We report that the array platform is capable of screening for cancer stem cell phenotypic changes in response to the underlying substrate. We are able to identify a specific combination of peptides that selectively enhance the expression of several putative melanoma cancer stem cell markers and enhance invasiveness and tumorigenicty. Such a platform will be useful as in vitro drug screening models to identify therapeutic targets.","abstract_html":"During development, cells receive many cues from their environment. These cues, whether physical or chemical in nature, are able to regulate the behavior of cells from macroscale levels such as tissue organization, to microscale levels such as gene modifications. Synthetic materials are able to similarly affect cell phenotype, and recent advances in microarray technology has allowed the systematic investigation of a large combinatorial space of material properties. As we gain new insights on the effects of chemical structures and physical properties, controlling the interaction between these various components at the cell-material interface will be invaluable in developing new materials for biomedical devices and tissue engineering applications. The aim of this project is to develop a peptide array to screen for specific cell-ligand interactions. We synthesize a library of peptides that are derived from extracellular matrix proteins and serve as a highly scalable synthetic microenvironment. We demonstrate that by displaying combinations of peptides on the surface of self-assembled monolayers, we can affect stem and cancer stem cell fate. In chapter 2 we demonstrate that self-assembled monolayers provide a facile method for modulating cell phenotype. In chapter 3 we incorporate peptide ligands at the cell-monolayer interface and show that ligand affinity can regulate differentiation. In chapters 4 and 5 we present a high-throughput array platform that allows combinatorial investigation of a library of biomimetic peptides. We report that the array platform is capable of screening for cancer stem cell phenotypic changes in response to the underlying substrate. We are able to identify a specific combination of peptides that selectively enhance the expression of several putative melanoma cancer stem cell markers and enhance invasiveness and tumorigenicty. Such a platform will be useful as in vitro drug screening models to identify therapeutic targets.","abstract_has_math":false,"creators":["Zhang, Douglas"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Materials Science & Engr","degree_department":null,"school":null,"contributors":["Kilian, Kristopher A.","Braun, Paul V.","Cheng, Jianjun","Smith, Andrew M."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-03-01T15:45:43Z","date_published":"2017-03-01T15:45:43Z","updated_at":"2026-07-22T22:26:35Z","subjects":["Biomaterials","Peptide","Microarray","Cancer","Differentiation","De-differentiation","Materials"],"languages":["en"],"rights":["Copyright 2016 Douglas Zhang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/95253","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kilian, Kristopher A.","Braun, Paul V.","Cheng, Jianjun","Smith, Andrew M."]},{"key":"dc:creator","label":"Author","values":["Zhang, Douglas"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2017-03-01T15:45:43Z","2016-08-01","2016-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Materials Science & Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biomaterials","Peptide","Microarray","Cancer","Differentiation","De-differentiation","Materials"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Douglas Zhang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/95253"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["During development, cells receive many cues from their environment. These cues, whether physical or chemical in nature, are able to regulate the behavior of cells from macroscale levels such as tissue organization, to microscale levels such as gene modifications. Synthetic materials are able to similarly affect cell phenotype, and recent advances in microarray technology has allowed the systematic investigation of a large combinatorial space of material properties. As we gain new insights on the effects of chemical structures and physical properties, controlling the interaction between these various components at the cell-material interface will be invaluable in developing new materials for biomedical devices and tissue engineering applications. The aim of this project is to develop a peptide array to screen for specific cell-ligand interactions. We synthesize a library of peptides that are derived from extracellular matrix proteins and serve as a highly scalable synthetic microenvironment. We demonstrate that by displaying combinations of peptides on the surface of self-assembled monolayers, we can affect stem and cancer stem cell fate. In chapter 2 we demonstrate that self-assembled monolayers provide a facile method for modulating cell phenotype. In chapter 3 we incorporate peptide ligands at the cell-monolayer interface and show that ligand affinity can regulate differentiation. In chapters 4 and 5 we present a high-throughput array platform that allows combinatorial investigation of a library of biomimetic peptides. We report that the array platform is capable of screening for cancer stem cell phenotypic changes in response to the underlying substrate. We are able to identify a specific combination of peptides that selectively enhance the expression of several putative melanoma cancer stem cell markers and enhance invasiveness and tumorigenicty. Such a platform will be useful as in vitro drug screening models to identify therapeutic targets.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms","The student, Douglas Zhang, accepted the attached license on 2016-07-29 at 10:15.","The student, Douglas Zhang, submitted this Dissertation for approval on 2016-07-29 at 10:20.","This Dissertation was approved for publication on 2016-08-01 at 13:12.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10096 on 2017-02-28 at 14:45:06","Made available in DSpace on 2017-03-01T15:45:43Z (GMT). No. of bitstreams: 2 ZHANG-DISSERTATION-2016.pdf: 4361416 bytes, checksum: 2fba4af52e1dda7a0495ca449761c2c9 (MD5) LICENSE.txt: 4210 bytes, checksum: 7f36d3e2e335a373763d33f2acea9966 (MD5) Previous issue date: 2016-08-01"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Peptide microarrays for the discovery of cell-ligand interactions that direct cell state"]}]}],"canonical_facts":{"dc:contributor":["Kilian, Kristopher A.","Braun, Paul V.","Cheng, Jianjun","Smith, Andrew M."],"dc:creator":["Zhang, Douglas"],"dc:date":["2017-03-01T15:45:43Z","2016-08-01","2016-12"],"dc:description":["During development, cells receive many cues from their environment. These cues, whether physical or chemical in nature, are able to regulate the behavior of cells from macroscale levels such as tissue organization, to microscale levels such as gene modifications. Synthetic materials are able to similarly affect cell phenotype, and recent advances in microarray technology has allowed the systematic investigation of a large combinatorial space of material properties. As we gain new insights on the effects of chemical structures and physical properties, controlling the interaction between these various components at the cell-material interface will be invaluable in developing new materials for biomedical devices and tissue engineering applications. The aim of this project is to develop a peptide array to screen for specific cell-ligand interactions. We synthesize a library of peptides that are derived from extracellular matrix proteins and serve as a highly scalable synthetic microenvironment. We demonstrate that by displaying combinations of peptides on the surface of self-assembled monolayers, we can affect stem and cancer stem cell fate. In chapter 2 we demonstrate that self-assembled monolayers provide a facile method for modulating cell phenotype. In chapter 3 we incorporate peptide ligands at the cell-monolayer interface and show that ligand affinity can regulate differentiation. In chapters 4 and 5 we present a high-throughput array platform that allows combinatorial investigation of a library of biomimetic peptides. We report that the array platform is capable of screening for cancer stem cell phenotypic changes in response to the underlying substrate. We are able to identify a specific combination of peptides that selectively enhance the expression of several putative melanoma cancer stem cell markers and enhance invasiveness and tumorigenicty. Such a platform will be useful as in vitro drug screening models to identify therapeutic targets.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-02-28 without embargo terms","The student, Douglas Zhang, accepted the attached license on 2016-07-29 at 10:15.","The student, Douglas Zhang, submitted this Dissertation for approval on 2016-07-29 at 10:20.","This Dissertation was approved for publication on 2016-08-01 at 13:12.","DSpace SAF Submission Ingestion Package generated from Vireo submission #10096 on 2017-02-28 at 14:45:06","Made available in DSpace on 2017-03-01T15:45:43Z (GMT). No. of bitstreams: 2 ZHANG-DISSERTATION-2016.pdf: 4361416 bytes, checksum: 2fba4af52e1dda7a0495ca449761c2c9 (MD5) LICENSE.txt: 4210 bytes, checksum: 7f36d3e2e335a373763d33f2acea9966 (MD5) Previous issue date: 2016-08-01"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/95253"],"dc:language":["en"],"dc:rights":["Copyright 2016 Douglas Zhang"],"dc:subject":["Biomaterials","Peptide","Microarray","Cancer","Differentiation","De-differentiation","Materials"],"dc:title":["Peptide microarrays for the discovery of cell-ligand interactions that direct cell state"],"dc:type":["text"],"thesis:degree_discipline":["Materials Science & Engr"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:26:35Z"}