{"id":{"repo_id":"uthsc","oai_identifier":"oai:digitalcommons.library.tmc.edu:utgsbs_dissertations-2334"},"canonical_url":"https://search.dev.ndltd.org/etd/uthsc/oai:digitalcommons.library.tmc.edu:utgsbs_dissertations-2334","repository":{"repo_id":"uthsc","name":"University of Texas Health Science Center at Houston","base_url":"https://digitalcommons.library.tmc.edu/do/oai/"},"display":{"title":"Unique Transcriptional Profiles Underlie Osteosarcomagenesis Driven By Different P53 Mutants","abstract":"<p>Missense mutations in the DNA binding domain of the <em>Trp53</em> gene are characterized as structural (<em>p53R172H</em>) or contact (<em>p53R245W</em>) mutations based on their effect on the conformation of the protein. These mutations show gain-of-function activities such as increased metastatic incidence as compared to <em>p53</em> loss, often mediated by their interaction with a repertoire of transcription factors. These interactions are largely context specific. In order to understand the mechanisms by which these mutations drive osteosarcoma progression, we created a mouse model, wherein either the p53 structural mutant p53R172H, or the contact mutant, p53R245W, are expressed specifically in osteoblasts, yielding osteosarcoma tumor development. We observed a significant decrease in survival and increased metastatic incidence in mice expressing <em>p53</em> mutants as compared to <em>p53</em>-null mice, suggesting gain of function. RNA-sequencing of primary osteosarcomas revealed that tumors expressing these missense mutants had vastly different gene expression profiles as compared to <em>p53</em>-null tumors. Further, p53R172H and p53R245W regulated unique transcriptomes, that affected distinct pathways, through interactions with a unique repertoire of transcription factors. Validation assays showed that p53R245W, but not p53R172H, interacts with KLF15 to drive migration and invasion in osteosarcoma cell lines, and metastases in allo-transplantation models. Additionally, analyses of p53R248W ChIP peaks showed enrichment of KLF15 motifs in human osteoblasts. Taken together, these data suggest that the structural and contact mutants of <em>p53</em> have unique mechanisms of action.</p>","abstract_html":"&lt;p&gt;Missense mutations in the DNA binding domain of the &lt;em&gt;Trp53&lt;/em&gt; gene are characterized as structural (&lt;em&gt;p53R172H&lt;/em&gt;) or contact (&lt;em&gt;p53R245W&lt;/em&gt;) mutations based on their effect on the conformation of the protein. These mutations show gain-of-function activities such as increased metastatic incidence as compared to &lt;em&gt;p53&lt;/em&gt; loss, often mediated by their interaction with a repertoire of transcription factors. These interactions are largely context specific. In order to understand the mechanisms by which these mutations drive osteosarcoma progression, we created a mouse model, wherein either the p53 structural mutant p53R172H, or the contact mutant, p53R245W, are expressed specifically in osteoblasts, yielding osteosarcoma tumor development. We observed a significant decrease in survival and increased metastatic incidence in mice expressing &lt;em&gt;p53&lt;/em&gt; mutants as compared to &lt;em&gt;p53&lt;/em&gt;-null mice, suggesting gain of function. RNA-sequencing of primary osteosarcomas revealed that tumors expressing these missense mutants had vastly different gene expression profiles as compared to &lt;em&gt;p53&lt;/em&gt;-null tumors. Further, p53R172H and p53R245W regulated unique transcriptomes, that affected distinct pathways, through interactions with a unique repertoire of transcription factors. Validation assays showed that p53R245W, but not p53R172H, interacts with KLF15 to drive migration and invasion in osteosarcoma cell lines, and metastases in allo-transplantation models. Additionally, analyses of p53R248W ChIP peaks showed enrichment of KLF15 motifs in human osteoblasts. Taken together, these data suggest that the structural and contact mutants of &lt;em&gt;p53&lt;/em&gt; have unique mechanisms of action.&lt;/p&gt;","abstract_has_math":false,"creators":["Chachad, Dhruv","<p>0000-0003-3131-7679</p>"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation (PhD)","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Guillermina Lozano","Patrick Lin","Michael Andreeff"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-05-01T07:00:00Z","date_published":"2023-05-01T07:00:00Z","updated_at":"2026-07-24T05:48:59Z","subjects":["p53","osteosarcoma","KLF15","GEMMs","Cancer Biology","Computational Biology","Genomics","Molecular Genetics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalcommons.library.tmc.edu/utgsbs_dissertations/1277","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Guillermina Lozano","Patrick Lin","Michael Andreeff"]},{"key":"dc:creator","label":"Author","values":["Chachad, Dhruv","<p>0000-0003-3131-7679</p>"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2024-04-27T07:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation (PhD)"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["p53","osteosarcoma","KLF15","GEMMs","Cancer Biology","Computational Biology","Genomics","Molecular Genetics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.library.tmc.edu/utgsbs_dissertations/1277"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Missense mutations in the DNA binding domain of the <em>Trp53</em> gene are characterized as structural (<em>p53R172H</em>) or contact (<em>p53R245W</em>) mutations based on their effect on the conformation of the protein. These mutations show gain-of-function activities such as increased metastatic incidence as compared to <em>p53</em> loss, often mediated by their interaction with a repertoire of transcription factors. These interactions are largely context specific. In order to understand the mechanisms by which these mutations drive osteosarcoma progression, we created a mouse model, wherein either the p53 structural mutant p53R172H, or the contact mutant, p53R245W, are expressed specifically in osteoblasts, yielding osteosarcoma tumor development. We observed a significant decrease in survival and increased metastatic incidence in mice expressing <em>p53</em> mutants as compared to <em>p53</em>-null mice, suggesting gain of function. RNA-sequencing of primary osteosarcomas revealed that tumors expressing these missense mutants had vastly different gene expression profiles as compared to <em>p53</em>-null tumors. Further, p53R172H and p53R245W regulated unique transcriptomes, that affected distinct pathways, through interactions with a unique repertoire of transcription factors. Validation assays showed that p53R245W, but not p53R172H, interacts with KLF15 to drive migration and invasion in osteosarcoma cell lines, and metastases in allo-transplantation models. Additionally, analyses of p53R248W ChIP peaks showed enrichment of KLF15 motifs in human osteoblasts. Taken together, these data suggest that the structural and contact mutants of <em>p53</em> have unique mechanisms of action.</p>"]},{"key":"dc:title","label":"Title","values":["Unique Transcriptional Profiles Underlie Osteosarcomagenesis Driven By Different P53 Mutants"]}]}],"canonical_facts":{"dc:contributor":["Guillermina Lozano","Patrick Lin","Michael Andreeff"],"dc:creator":["Chachad, Dhruv","<p>0000-0003-3131-7679</p>"],"dc:date.available":["2024-04-27T07:00:00Z"],"dc:description.abstract":["<p>Missense mutations in the DNA binding domain of the <em>Trp53</em> gene are characterized as structural (<em>p53R172H</em>) or contact (<em>p53R245W</em>) mutations based on their effect on the conformation of the protein. These mutations show gain-of-function activities such as increased metastatic incidence as compared to <em>p53</em> loss, often mediated by their interaction with a repertoire of transcription factors. These interactions are largely context specific. In order to understand the mechanisms by which these mutations drive osteosarcoma progression, we created a mouse model, wherein either the p53 structural mutant p53R172H, or the contact mutant, p53R245W, are expressed specifically in osteoblasts, yielding osteosarcoma tumor development. We observed a significant decrease in survival and increased metastatic incidence in mice expressing <em>p53</em> mutants as compared to <em>p53</em>-null mice, suggesting gain of function. RNA-sequencing of primary osteosarcomas revealed that tumors expressing these missense mutants had vastly different gene expression profiles as compared to <em>p53</em>-null tumors. Further, p53R172H and p53R245W regulated unique transcriptomes, that affected distinct pathways, through interactions with a unique repertoire of transcription factors. Validation assays showed that p53R245W, but not p53R172H, interacts with KLF15 to drive migration and invasion in osteosarcoma cell lines, and metastases in allo-transplantation models. Additionally, analyses of p53R248W ChIP peaks showed enrichment of KLF15 motifs in human osteoblasts. Taken together, these data suggest that the structural and contact mutants of <em>p53</em> have unique mechanisms of action.</p>"],"dc:identifier":["https://digitalcommons.library.tmc.edu/utgsbs_dissertations/1277"],"dc:subject":["p53","osteosarcoma","KLF15","GEMMs","Cancer Biology","Computational Biology","Genomics","Molecular Genetics"],"dc:title":["Unique Transcriptional Profiles Underlie Osteosarcomagenesis Driven By Different P53 Mutants"],"thesis:degree_level":["Dissertation (PhD)"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T05:48:59Z"}