{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/77066"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/77066","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Proteomic Map of ER+ Breast Cancer Cell Cycle","abstract":"Cancer is characterized by a deregulation of the cell cycle resulting in abnormal proliferation of cells that can bypass tightly regulated molecular checkpoints. Breast cancer is the most common cancer diagnosed in women, ~70% of cases displaying an estrogen receptor positive (ER+) phenotype. The aim of the present work was to generate a comprehensive overview of the biological mechanisms, molecular pathways and specific proteins involved in cell cycle progression in ER+ breast cancer cells. We focused on the G1-to-S phase transition of the cell cycle because major differences in cell proliferation mechanisms between normal and cancerous cells are observed at this point. We developed a large-scale proteomics strategy to enable the comparison of MCF-7 ER+ (cancer) and MCF-10A (non-tumorigenic) epithelial breast cells. Samples were analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS) followed by a label-free quantitation approach, i.e., spectral counting, for differential protein expression analysis. The study was divided into three distinct parts: 1) qualitative profiling of MCF-7 cells arrested in the G1-phase and released into the S-phase of the cell cycle, 2) differential expression profiling of MCF-7 cells in G1 and S, and 3) differential expression profiling of the G1-phases of MCF-7 and MCF-10A cells. The qualitative evaluation of MCF-7 proteomic data resulted in the identification of >2700 proteins (p-score<0.001). A large number of these proteins were involved in cell cycle relevant processes, being representative of all hallmarks of cancer. Differential expression analysis of the MCF-7 G1 and S-phases resulted in the identification of >250 proteins with roles in DNA repair, transcription, translation, chromatin maintenance and signaling. The MCF-7/MCF-10 comparison revealed that major cellular processes that require DNA access, such as the ones identified in the MCF-7 analysis, are up-regulated in the nucleus of MCF-7 cells during starvation, possibly allowing these cancerous cells to bypass the restriction point. Several proliferative and anti-proliferative markers were identified in both MCF-7 and MCF-10A cells.","abstract_html":"Cancer is characterized by a deregulation of the cell cycle resulting in abnormal proliferation of cells that can bypass tightly regulated molecular checkpoints. Breast cancer is the most common cancer diagnosed in women, ~70% of cases displaying an estrogen receptor positive (ER+) phenotype. The aim of the present work was to generate a comprehensive overview of the biological mechanisms, molecular pathways and specific proteins involved in cell cycle progression in ER+ breast cancer cells. We focused on the G1-to-S phase transition of the cell cycle because major differences in cell proliferation mechanisms between normal and cancerous cells are observed at this point. We developed a large-scale proteomics strategy to enable the comparison of MCF-7 ER+ (cancer) and MCF-10A (non-tumorigenic) epithelial breast cells. Samples were analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS) followed by a label-free quantitation approach, i.e., spectral counting, for differential protein expression analysis. The study was divided into three distinct parts: 1) qualitative profiling of MCF-7 cells arrested in the G1-phase and released into the S-phase of the cell cycle, 2) differential expression profiling of MCF-7 cells in G1 and S, and 3) differential expression profiling of the G1-phases of MCF-7 and MCF-10A cells. The qualitative evaluation of MCF-7 proteomic data resulted in the identification of &gt;2700 proteins (p-score&lt;0.001). A large number of these proteins were involved in cell cycle relevant processes, being representative of all hallmarks of cancer. Differential expression analysis of the MCF-7 G1 and S-phases resulted in the identification of &gt;250 proteins with roles in DNA repair, transcription, translation, chromatin maintenance and signaling. The MCF-7/MCF-10 comparison revealed that major cellular processes that require DNA access, such as the ones identified in the MCF-7 analysis, are up-regulated in the nucleus of MCF-7 cells during starvation, possibly allowing these cancerous cells to bypass the restriction point. Several proliferative and anti-proliferative markers were identified in both MCF-7 and MCF-10A cells.","abstract_has_math":false,"creators":["Tenga, Milagros Jannet"],"institution":"Virginia Tech","degree_name":"Ph. D.","degree_level":"doctoral","degree_discipline":"Biology","degree_department":"Biology","school":null,"contributors":[],"advisors":[],"committee_chairs":["Lazar, Iuliana M."],"committee_members":["Sible, Jill C.","Helm, Richard F.","Walker, Richard A."],"year":2012,"date_issued":"2012-05-01","date_published":"2012-05-01","updated_at":"2026-07-22T22:19:51Z","subjects":["breast cancer","mass spectrometry","cell cycle","proteomics"],"languages":["en_US"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-05062012-035226"],"render_values":[{"text":"etd-05062012-035226","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/77066","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Lazar, Iuliana M."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Sible, Jill C.","Helm, Richard F.","Walker, Richard A."]},{"key":"dc:contributor.department","label":"Department","values":["Biology"]},{"key":"dc:creator","label":"Author","values":["Tenga, Milagros Jannet"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-04-06T15:42:22Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-04-06T15:42:22Z","2016-10-18"]},{"key":"dc:date.issued","label":"Date","values":["2012-05-01"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]},{"key":"dc:type.dcmitype","label":"Dc Type Dcmitype","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Biology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["doctoral"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph. 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Breast cancer is the most common cancer diagnosed in women, ~70% of cases displaying an estrogen receptor positive (ER+) phenotype. The aim of the present work was to generate a comprehensive overview of the biological mechanisms, molecular pathways and specific proteins involved in cell cycle progression in ER+ breast cancer cells. We focused on the G1-to-S phase transition of the cell cycle because major differences in cell proliferation mechanisms between normal and cancerous cells are observed at this point. We developed a large-scale proteomics strategy to enable the comparison of MCF-7 ER+ (cancer) and MCF-10A (non-tumorigenic) epithelial breast cells. Samples were analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS) followed by a label-free quantitation approach, i.e., spectral counting, for differential protein expression analysis. The study was divided into three distinct parts: 1) qualitative profiling of MCF-7 cells arrested in the G1-phase and released into the S-phase of the cell cycle, 2) differential expression profiling of MCF-7 cells in G1 and S, and 3) differential expression profiling of the G1-phases of MCF-7 and MCF-10A cells. The qualitative evaluation of MCF-7 proteomic data resulted in the identification of >2700 proteins (p-score<0.001). A large number of these proteins were involved in cell cycle relevant processes, being representative of all hallmarks of cancer. Differential expression analysis of the MCF-7 G1 and S-phases resulted in the identification of >250 proteins with roles in DNA repair, transcription, translation, chromatin maintenance and signaling. The MCF-7/MCF-10 comparison revealed that major cellular processes that require DNA access, such as the ones identified in the MCF-7 analysis, are up-regulated in the nucleus of MCF-7 cells during starvation, possibly allowing these cancerous cells to bypass the restriction point. Several proliferative and anti-proliferative markers were identified in both MCF-7 and MCF-10A cells."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Ph. D."]},{"key":"dc:title","label":"Title","values":["Proteomic Map of ER+ Breast Cancer Cell Cycle"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Lazar, Iuliana M."],"dc:contributor.committeemember":["Sible, Jill C.","Helm, Richard F.","Walker, Richard A."],"dc:contributor.department":["Biology"],"dc:creator":["Tenga, Milagros Jannet"],"dc:date.accessioned":["2017-04-06T15:42:22Z"],"dc:date.available":["2017-04-06T15:42:22Z","2016-10-18"],"dc:date.issued":["2012-05-01"],"dc:description.abstract":["Cancer is characterized by a deregulation of the cell cycle resulting in abnormal proliferation of cells that can bypass tightly regulated molecular checkpoints. Breast cancer is the most common cancer diagnosed in women, ~70% of cases displaying an estrogen receptor positive (ER+) phenotype. The aim of the present work was to generate a comprehensive overview of the biological mechanisms, molecular pathways and specific proteins involved in cell cycle progression in ER+ breast cancer cells. We focused on the G1-to-S phase transition of the cell cycle because major differences in cell proliferation mechanisms between normal and cancerous cells are observed at this point. We developed a large-scale proteomics strategy to enable the comparison of MCF-7 ER+ (cancer) and MCF-10A (non-tumorigenic) epithelial breast cells. Samples were analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS) followed by a label-free quantitation approach, i.e., spectral counting, for differential protein expression analysis. The study was divided into three distinct parts: 1) qualitative profiling of MCF-7 cells arrested in the G1-phase and released into the S-phase of the cell cycle, 2) differential expression profiling of MCF-7 cells in G1 and S, and 3) differential expression profiling of the G1-phases of MCF-7 and MCF-10A cells. The qualitative evaluation of MCF-7 proteomic data resulted in the identification of >2700 proteins (p-score<0.001). A large number of these proteins were involved in cell cycle relevant processes, being representative of all hallmarks of cancer. Differential expression analysis of the MCF-7 G1 and S-phases resulted in the identification of >250 proteins with roles in DNA repair, transcription, translation, chromatin maintenance and signaling. The MCF-7/MCF-10 comparison revealed that major cellular processes that require DNA access, such as the ones identified in the MCF-7 analysis, are up-regulated in the nucleus of MCF-7 cells during starvation, possibly allowing these cancerous cells to bypass the restriction point. Several proliferative and anti-proliferative markers were identified in both MCF-7 and MCF-10A cells."],"dc:description.degree":["Ph. D."],"dc:identifier.other":["etd-05062012-035226"],"dc:identifier.uri":["http://hdl.handle.net/10919/77066"],"dc:language.iso":["en_US"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["breast cancer","mass spectrometry","cell cycle","proteomics"],"dc:title":["Proteomic Map of ER+ Breast Cancer Cell Cycle"],"dc:type":["Dissertation"],"dc:type.dcmitype":["Text"],"thesis:degree_discipline":["Biology"],"thesis:degree_level":["doctoral"],"thesis:degree_name":["Ph. D."],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:51Z"}