The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression
The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates vi...
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Veröffentlicht in: | Cell systems 2018-08, Vol.7 (2), p.180-184.e4 |
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creator | Borland, David Yi, Hong Grant, Gavin D. Kedziora, Katarzyna M. Chao, Hui Xiao Haggerty, Rachel A. Kumar, Jayashree Wolff, Samuel C. Cook, Jeanette G. Purvis, Jeremy E. |
description | The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates visualizing, organizing, simulating, and predicting the outcomes of perturbing cell-cycle parameters. Time-series traces from individual cells can be combined to build a multi-layered timeline of molecular activities. Users can simulate the cell cycle using computational models that capture the dynamics of molecular activities and phase transitions. By adjusting individual expression levels and strengths of molecular relationships, users can predict effects on the cell cycle. Virtual assays, such as growth curves and flow cytometry, provide familiar outputs to compare cell-cycle behaviors for data and simulations. The CCB serves to unify our understanding of cell-cycle dynamics and provides a platform for generating hypotheses through virtual experiments.
[Display omitted]
•Users can stack and align single-cell traces for different molecular reporters•Computational models with adjustable parameters simulate cell-cycle progression•Virtual growth curves and flow cytometry assays predict cell-cycle behaviors
Borland, Yi, and colleagues develop an interactive website offering visualization, simulation, and virtual experiments to study cell-cycle progression at the molecular level. |
doi_str_mv | 10.1016/j.cels.2018.06.004 |
format | Article |
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[Display omitted]
•Users can stack and align single-cell traces for different molecular reporters•Computational models with adjustable parameters simulate cell-cycle progression•Virtual growth curves and flow cytometry assays predict cell-cycle behaviors
Borland, Yi, and colleagues develop an interactive website offering visualization, simulation, and virtual experiments to study cell-cycle progression at the molecular level.</description><identifier>ISSN: 2405-4712</identifier><identifier>EISSN: 2405-4720</identifier><identifier>DOI: 10.1016/j.cels.2018.06.004</identifier><identifier>PMID: 30077635</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Cell Cycle ; Cell Proliferation ; Cell Survival ; computational modeling ; Computer Simulation ; data visualization ; Flow Cytometry - methods ; Humans ; Image Processing, Computer-Assisted - methods ; live-cell imaging ; Models, Biological ; single-cell dynamics ; Software</subject><ispartof>Cell systems, 2018-08, Vol.7 (2), p.180-184.e4</ispartof><rights>2018 Elsevier Inc.</rights><rights>Copyright © 2018 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-20cabf29fd425949288288a6df18d2f051aa479d10ab0023424142df8042c61b3</citedby><cites>FETCH-LOGICAL-c455t-20cabf29fd425949288288a6df18d2f051aa479d10ab0023424142df8042c61b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30077635$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Borland, David</creatorcontrib><creatorcontrib>Yi, Hong</creatorcontrib><creatorcontrib>Grant, Gavin D.</creatorcontrib><creatorcontrib>Kedziora, Katarzyna M.</creatorcontrib><creatorcontrib>Chao, Hui Xiao</creatorcontrib><creatorcontrib>Haggerty, Rachel A.</creatorcontrib><creatorcontrib>Kumar, Jayashree</creatorcontrib><creatorcontrib>Wolff, Samuel C.</creatorcontrib><creatorcontrib>Cook, Jeanette G.</creatorcontrib><creatorcontrib>Purvis, Jeremy E.</creatorcontrib><title>The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression</title><title>Cell systems</title><addtitle>Cell Syst</addtitle><description>The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates visualizing, organizing, simulating, and predicting the outcomes of perturbing cell-cycle parameters. Time-series traces from individual cells can be combined to build a multi-layered timeline of molecular activities. Users can simulate the cell cycle using computational models that capture the dynamics of molecular activities and phase transitions. By adjusting individual expression levels and strengths of molecular relationships, users can predict effects on the cell cycle. Virtual assays, such as growth curves and flow cytometry, provide familiar outputs to compare cell-cycle behaviors for data and simulations. The CCB serves to unify our understanding of cell-cycle dynamics and provides a platform for generating hypotheses through virtual experiments.
[Display omitted]
•Users can stack and align single-cell traces for different molecular reporters•Computational models with adjustable parameters simulate cell-cycle progression•Virtual growth curves and flow cytometry assays predict cell-cycle behaviors
Borland, Yi, and colleagues develop an interactive website offering visualization, simulation, and virtual experiments to study cell-cycle progression at the molecular level.</description><subject>Cell Cycle</subject><subject>Cell Proliferation</subject><subject>Cell Survival</subject><subject>computational modeling</subject><subject>Computer Simulation</subject><subject>data visualization</subject><subject>Flow Cytometry - methods</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>live-cell imaging</subject><subject>Models, Biological</subject><subject>single-cell dynamics</subject><subject>Software</subject><issn>2405-4712</issn><issn>2405-4720</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kV9rFDEUxYMottR-AR8kjz44400m809EqEvVQsGCq68hk9zZZskmNZlZaT-92W5d7EshkHuTc3655BDymkHJgDXv16VGl0oOrCuhKQHEM3LMBdSFaDk8P9SMH5HTlNYAwESfD_lLclQBtG1T1cfEL6-RLtA5urjVDunnGP4kjB_omacXfsKo9GS3SJchODqGSH_ZNCtn76xfvaM_7GZ2arqvlTf0CuM0xyH398xiz7yKYRUxJRv8K_JiVC7h6cN-Qn5-OV8uvhWX379eLM4uCy3qeio4aDWMvB-N4HWfx-66vFRjRtYZPkLNlBJtbxioAYBXggsmuBk7EFw3bKhOyKc992YeNmg0-ikqJ2-i3ah4K4Oy8vGNt9dyFbay4Uw0XZ0Bbx8AMfyeMU1yY1P-cac8hjlJDp2oBOubNkv5XqpjSCnieHiGgdxlJddyl5XcZSWhkTmrbHrz_4AHy79ksuDjXpCduLUYZdIWvUZjI-pJmmCf4v8FYJqlww</recordid><startdate>20180822</startdate><enddate>20180822</enddate><creator>Borland, David</creator><creator>Yi, Hong</creator><creator>Grant, Gavin D.</creator><creator>Kedziora, Katarzyna M.</creator><creator>Chao, Hui Xiao</creator><creator>Haggerty, Rachel A.</creator><creator>Kumar, Jayashree</creator><creator>Wolff, Samuel C.</creator><creator>Cook, Jeanette G.</creator><creator>Purvis, Jeremy E.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180822</creationdate><title>The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression</title><author>Borland, David ; Yi, Hong ; Grant, Gavin D. ; Kedziora, Katarzyna M. ; Chao, Hui Xiao ; Haggerty, Rachel A. ; Kumar, Jayashree ; Wolff, Samuel C. ; Cook, Jeanette G. ; Purvis, Jeremy E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-20cabf29fd425949288288a6df18d2f051aa479d10ab0023424142df8042c61b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Cell Cycle</topic><topic>Cell Proliferation</topic><topic>Cell Survival</topic><topic>computational modeling</topic><topic>Computer Simulation</topic><topic>data visualization</topic><topic>Flow Cytometry - methods</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>live-cell imaging</topic><topic>Models, Biological</topic><topic>single-cell dynamics</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Borland, David</creatorcontrib><creatorcontrib>Yi, Hong</creatorcontrib><creatorcontrib>Grant, Gavin D.</creatorcontrib><creatorcontrib>Kedziora, Katarzyna M.</creatorcontrib><creatorcontrib>Chao, Hui Xiao</creatorcontrib><creatorcontrib>Haggerty, Rachel A.</creatorcontrib><creatorcontrib>Kumar, Jayashree</creatorcontrib><creatorcontrib>Wolff, Samuel C.</creatorcontrib><creatorcontrib>Cook, Jeanette G.</creatorcontrib><creatorcontrib>Purvis, Jeremy E.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cell systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Borland, David</au><au>Yi, Hong</au><au>Grant, Gavin D.</au><au>Kedziora, Katarzyna M.</au><au>Chao, Hui Xiao</au><au>Haggerty, Rachel A.</au><au>Kumar, Jayashree</au><au>Wolff, Samuel C.</au><au>Cook, Jeanette G.</au><au>Purvis, Jeremy E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression</atitle><jtitle>Cell systems</jtitle><addtitle>Cell Syst</addtitle><date>2018-08-22</date><risdate>2018</risdate><volume>7</volume><issue>2</issue><spage>180</spage><epage>184.e4</epage><pages>180-184.e4</pages><issn>2405-4712</issn><eissn>2405-4720</eissn><abstract>The cell cycle is driven by precise temporal coordination among many molecular activities. To understand and explore this process, we developed the Cell Cycle Browser (CCB), an interactive web interface based on real-time reporter data collected in proliferating human cells. This tool facilitates visualizing, organizing, simulating, and predicting the outcomes of perturbing cell-cycle parameters. Time-series traces from individual cells can be combined to build a multi-layered timeline of molecular activities. Users can simulate the cell cycle using computational models that capture the dynamics of molecular activities and phase transitions. By adjusting individual expression levels and strengths of molecular relationships, users can predict effects on the cell cycle. Virtual assays, such as growth curves and flow cytometry, provide familiar outputs to compare cell-cycle behaviors for data and simulations. The CCB serves to unify our understanding of cell-cycle dynamics and provides a platform for generating hypotheses through virtual experiments.
[Display omitted]
•Users can stack and align single-cell traces for different molecular reporters•Computational models with adjustable parameters simulate cell-cycle progression•Virtual growth curves and flow cytometry assays predict cell-cycle behaviors
Borland, Yi, and colleagues develop an interactive website offering visualization, simulation, and virtual experiments to study cell-cycle progression at the molecular level.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30077635</pmid><doi>10.1016/j.cels.2018.06.004</doi><oa>free_for_read</oa></addata></record> |
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subjects | Cell Cycle Cell Proliferation Cell Survival computational modeling Computer Simulation data visualization Flow Cytometry - methods Humans Image Processing, Computer-Assisted - methods live-cell imaging Models, Biological single-cell dynamics Software |
title | The Cell Cycle Browser: An Interactive Tool for Visualizing, Simulating, and Perturbing Cell-Cycle Progression |
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