About: Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259109/pdf/1471-2105-12-485.pdf
Description	We present a method that normalizes and statistically scores microscopy based RNAi screens, exploiting individual cell information of hundreds of cells per knockdown. Each cell’s individual population context is employed in normalization. We present results on two infection screens for hepatitis C and dengue virus, both showing considerable effects on observed phenotypes due to population context. In addition, we show on a nonvirus screen that these effects can be found also in RNAi data in the absence of any virus. Using our approach to normalize against these effects we achieve improved performance in comparison to an analysis without this normalization and hit scoring strategy. Furthermore, our approach results in the identification of considerably more significantly enriched pathways in hepatitis C virus replication than using a standard analysis approach. We present a method that normalizes and statistically scores microscopy based RNAi screens, exploiting individual cell information of hundreds of cells per knockdown. Each cell’s individual population context is employed in normalization. We present results on two infection screens for hepatitis C and dengue virus, both showing considerable effects on observed phenotypes due to population context. In addition, we show on a nonvirus screen that these effects can be found also in RNAi data in the absence of any virus. Using our approach to normalize against these effects we achieve improved performance in comparison to an analysis without this normalization and hit scoring strategy. Furthermore, our approach results in the identification of considerably more significantly enriched pathways in hepatitis C virus replication than using a standard analysis approach. (en)
Title	Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens (en)
skos:prefLabel	Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens (en)
skos:notation	RIV/00216224:14330/11:00054378!RIV12-MSM-14330___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(2B06052), Z(MSM0021622419)
http://linked.open...iv/cisloPeriodika	485
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Matula, Petr
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Masarykova univerzita / Fakulta informatiky
http://linked.open...dnocenehoVysledku	216300
http://linked.open...ai/riv/idVysledku	RIV/00216224:14330/11:00054378
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	high-content screening; normalization; cell-based analysis (en)
http://linked.open.../riv/klicoveSlovo	normalization cell-based analysis high-content screening
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[1AA2B3DDBC01]
http://linked.open...i/riv/nazevZdroje	BMC Bioinformatics
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	11 (xsd:int)
http://linked.open...vavai/riv/projekt	Determination of markers, screening and early diagnostics of cancer diseases using highly automated processing of multidimensional biomedical images
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	12
http://linked.open...iv/tvurceVysledku	Matula, Petr Bartenschlager, Ralf Binder, Marco Eils, Roland Erfle, Hoger Kaderali, Lars Kiani, Narsis A Knapp, Bettina Kumar, Anil Rebhan, Ilka Rohr, Karl
http://linked.open...n/vavai/riv/zamer	Highly Parallel and Distributed Computing Systems
issn	1471-2105
number of pages	14 (xsd:int)
http://localhost/t...ganizacniJednotka	14330

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