High Content Cellular Analysis for Functional Screening of Novel Cell Cycle Related Genes
Functional screening of novel genes can be efficiently performed by detecting morphological changes of transfected cells. In this study, we developed automated cellular analysis software and found novel genes that induced mitotic phenotypes in transiently transfected HeLa cells. Systemic imaging err...
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creator | Kim, D. Yong-su Chae Soo Jung Kim |
description | Functional screening of novel genes can be efficiently performed by detecting morphological changes of transfected cells. In this study, we developed automated cellular analysis software and found novel genes that induced mitotic phenotypes in transiently transfected HeLa cells. Systemic imaging errors common in high content microscopy were corrected by background subtraction and intensity normalization. Nuclear and chromatin objects were detected by tophat operations. Shape, intensity, and convex-hull features were extracted. Cell types were classified by several logistic regression formulas with 93.9% accuracy in average. The increased % mitotic cells were detected in 47 out of 571 transfected genes. Twenty genes showed more than two-fold increase in % mitotic cells confirmed by manual inspection. Among these, nine genes showed increased tissue expression levels in several tumors, thus, indicating their possible oncogenic roles. These genes will be further investigated biochemically to confirm their cell cycle related functions. |
doi_str_mv | 10.1109/BMEI.2008.233 |
format | Conference Proceeding |
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In this study, we developed automated cellular analysis software and found novel genes that induced mitotic phenotypes in transiently transfected HeLa cells. Systemic imaging errors common in high content microscopy were corrected by background subtraction and intensity normalization. Nuclear and chromatin objects were detected by tophat operations. Shape, intensity, and convex-hull features were extracted. Cell types were classified by several logistic regression formulas with 93.9% accuracy in average. The increased % mitotic cells were detected in 47 out of 571 transfected genes. Twenty genes showed more than two-fold increase in % mitotic cells confirmed by manual inspection. Among these, nine genes showed increased tissue expression levels in several tumors, thus, indicating their possible oncogenic roles. These genes will be further investigated biochemically to confirm their cell cycle related functions.</description><identifier>ISSN: 1948-2914</identifier><identifier>ISBN: 9780769531182</identifier><identifier>ISBN: 0769531180</identifier><identifier>EISSN: 1948-2922</identifier><identifier>DOI: 10.1109/BMEI.2008.233</identifier><identifier>LCCN: 2007943152</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical engineering ; Cell Cycle Analysis ; DNA ; Fluorescence ; High Content Screening ; Image analysis ; Information analysis ; Microscopy ; Neoplasms ; Performance analysis ; Shape ; Throughput</subject><ispartof>2008 International Conference on BioMedical Engineering and Informatics, 2008, Vol.1, p.148-152</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4548653$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4548653$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kim, D.</creatorcontrib><creatorcontrib>Yong-su Chae</creatorcontrib><creatorcontrib>Soo Jung Kim</creatorcontrib><title>High Content Cellular Analysis for Functional Screening of Novel Cell Cycle Related Genes</title><title>2008 International Conference on BioMedical Engineering and Informatics</title><addtitle>BMEI</addtitle><description>Functional screening of novel genes can be efficiently performed by detecting morphological changes of transfected cells. In this study, we developed automated cellular analysis software and found novel genes that induced mitotic phenotypes in transiently transfected HeLa cells. Systemic imaging errors common in high content microscopy were corrected by background subtraction and intensity normalization. Nuclear and chromatin objects were detected by tophat operations. Shape, intensity, and convex-hull features were extracted. Cell types were classified by several logistic regression formulas with 93.9% accuracy in average. The increased % mitotic cells were detected in 47 out of 571 transfected genes. Twenty genes showed more than two-fold increase in % mitotic cells confirmed by manual inspection. Among these, nine genes showed increased tissue expression levels in several tumors, thus, indicating their possible oncogenic roles. These genes will be further investigated biochemically to confirm their cell cycle related functions.</description><subject>Biomedical engineering</subject><subject>Cell Cycle Analysis</subject><subject>DNA</subject><subject>Fluorescence</subject><subject>High Content Screening</subject><subject>Image analysis</subject><subject>Information analysis</subject><subject>Microscopy</subject><subject>Neoplasms</subject><subject>Performance analysis</subject><subject>Shape</subject><subject>Throughput</subject><issn>1948-2914</issn><issn>1948-2922</issn><isbn>9780769531182</isbn><isbn>0769531180</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9jEtLw0AURge1YK1dunIzfyB17rxnWUNfUBV8LFyVSXKnjoyJJKmQf29RcfXBOZyPkCtgMwDmbm7vFpsZZ8zOuBAnZAxO2ow7zk_J1BnLjHZKAFh-9u9AjsjFMTFOClD8nEy77p0xBk4bAD4mr-u4f6N5U_dY9zTHlA7Jt3Re-zR0saOhaenyUJd9bI6IPpUtYh3rPW0CvW--MP00NB_KhPQRk--xoiussbsko-BTh9O_nZCX5eI5X2fbh9Umn2-zCEb1mQ6oJJeFDNp7geCrAsuiqmwlfMWk0shEIZwOQRvJrJZQSo-h0MAM94qLCbn-_Y2IuPts44dvh51U0molxDfw9VYz</recordid><startdate>200805</startdate><enddate>200805</enddate><creator>Kim, D.</creator><creator>Yong-su Chae</creator><creator>Soo Jung Kim</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200805</creationdate><title>High Content Cellular Analysis for Functional Screening of Novel Cell Cycle Related Genes</title><author>Kim, D. ; Yong-su Chae ; Soo Jung Kim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6fe5424b4f6aa3e1adbecbdd8d3ad0456e03b396ff67408641c4aefb61072a523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Biomedical engineering</topic><topic>Cell Cycle Analysis</topic><topic>DNA</topic><topic>Fluorescence</topic><topic>High Content Screening</topic><topic>Image analysis</topic><topic>Information analysis</topic><topic>Microscopy</topic><topic>Neoplasms</topic><topic>Performance analysis</topic><topic>Shape</topic><topic>Throughput</topic><toplevel>online_resources</toplevel><creatorcontrib>Kim, D.</creatorcontrib><creatorcontrib>Yong-su Chae</creatorcontrib><creatorcontrib>Soo Jung Kim</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kim, D.</au><au>Yong-su Chae</au><au>Soo Jung Kim</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>High Content Cellular Analysis for Functional Screening of Novel Cell Cycle Related Genes</atitle><btitle>2008 International Conference on BioMedical Engineering and Informatics</btitle><stitle>BMEI</stitle><date>2008-05</date><risdate>2008</risdate><volume>1</volume><spage>148</spage><epage>152</epage><pages>148-152</pages><issn>1948-2914</issn><eissn>1948-2922</eissn><isbn>9780769531182</isbn><isbn>0769531180</isbn><abstract>Functional screening of novel genes can be efficiently performed by detecting morphological changes of transfected cells. In this study, we developed automated cellular analysis software and found novel genes that induced mitotic phenotypes in transiently transfected HeLa cells. Systemic imaging errors common in high content microscopy were corrected by background subtraction and intensity normalization. Nuclear and chromatin objects were detected by tophat operations. Shape, intensity, and convex-hull features were extracted. Cell types were classified by several logistic regression formulas with 93.9% accuracy in average. The increased % mitotic cells were detected in 47 out of 571 transfected genes. Twenty genes showed more than two-fold increase in % mitotic cells confirmed by manual inspection. Among these, nine genes showed increased tissue expression levels in several tumors, thus, indicating their possible oncogenic roles. These genes will be further investigated biochemically to confirm their cell cycle related functions.</abstract><pub>IEEE</pub><doi>10.1109/BMEI.2008.233</doi><tpages>5</tpages></addata></record> |
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ispartof | 2008 International Conference on BioMedical Engineering and Informatics, 2008, Vol.1, p.148-152 |
issn | 1948-2914 1948-2922 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biomedical engineering Cell Cycle Analysis DNA Fluorescence High Content Screening Image analysis Information analysis Microscopy Neoplasms Performance analysis Shape Throughput |
title | High Content Cellular Analysis for Functional Screening of Novel Cell Cycle Related Genes |
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