[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-657748-105":59,"doc-detail-657748-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","representative-flow-cytometry-dot-plots-research-analysis","Representative Flow Cytometry Dot Plots - Research Analysis","","This document provides detailed representative flow cytometry dot plots supporting experimental findings, specifically referencing Figure 1B and Figure 4E. The data demonstrates the effects of various treatments, including H2O2, sulforaphane (SFN), miR-34a mimic, miR-34a inhibitor, pcDNA3.1-SIRT1, and siRNA-SIRT1 on cellular apoptosis. Through flow cytometry analysis using Annexin V-FITC and Propidium iodide staining, the figures illustrate significant differences in cell population distribution across control and experimental groups. These visual data points are essential for validating the molecular mechanisms involving SFN, microRNA-34a, and SIRT1, providing a comprehensive assessment of apoptotic rates and cellular viability under oxidative stress conditions. This research content is critical for interpreting the relationship between these regulatory molecules and oxidative damage in a laboratory context, ensuring rigorous methodological documentation for advanced biomedical study and therapeutic evaluation.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/representative-flow-cytometry-dot-plots-research-analysis/657748/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/representative-flow-cytometry-dot-plots-research-analysis/657748.png","ImageObject",300,407,{"name":92,"@type":93},"Bulrr","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-26",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What does the flow cytometry analysis measure?","Question",{"text":112,"@type":113},"The analysis measures cell apoptosis using Annexin V-FITC and Propidium iodide staining to differentiate between healthy, early apoptotic, and late apoptotic cell populations.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What experimental conditions are depicted in Figure S1A?",{"text":117,"@type":113},"Figure S1A displays results for Control, H2O2, H2O2+SFN, and SFN treatments, evaluating the impact of sulforaphane on oxidative stress-induced apoptosis.",{"name":119,"@type":110,"acceptedAnswer":120},"How does SIRT1 modulation affect the observed cell populations?",{"text":121,"@type":113},"The data shows that pcDNA3.1-SIRT1 and siRNA-SIRT1 treatments, alongside miR-34a modulators, are utilized to investigate the regulatory role of SIRT1 in cellular survival under H2O2-induced stress.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},657748,1792988025,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":81},5909892115043,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Figure S1. Representative flow cytometry dot plots. Representative flow cytometry dot diagrams for (A) Fig. 1B and (B) Fig. 4E. SFN, sulforaphane; miR, microRNA; SIRT1, sirtuin‑1; NC, negative control.","cbCaiohGgnotnFHy","https://ap.wps.com/l/cbCaiohGgnotnFHy","pdf",996008,"English","# Representative Flow Cytometry Dot Plots\n## Data Analysis for Figure 1B\n## Data Analysis for Figure 4E","[{\"question\":\"What does the flow cytometry analysis measure?\",\"answer\":\"The analysis measures cell apoptosis using Annexin V-FITC and Propidium iodide staining to differentiate between healthy, early apoptotic, and late apoptotic cell populations.\"},{\"question\":\"What experimental conditions are depicted in Figure S1A?\",\"answer\":\"Figure S1A displays results for Control, H2O2, H2O2+SFN, and SFN treatments, evaluating the impact of sulforaphane on oxidative stress-induced apoptosis.\"},{\"question\":\"How does SIRT1 modulation affect the observed cell populations?\",\"answer\":\"The data shows that pcDNA3.1-SIRT1 and siRNA-SIRT1 treatments, alongside miR-34a modulators, are utilized to investigate the regulatory role of SIRT1 in cellular survival under H2O2-induced stress.\"}]","Representative Flow Cytometry Dot Plots - Research Analysis | PDF"]