| KNAPP, Bettina, Ilka REBHAN, Anil KUMAR, Petr MATULA, Narsis A KIANI, Marco BINDER, Hoger ERFLE, Karl ROHR, Roland EILS, Ralf BARTENSCHLAGER and Lars KADERALI. Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens. BMC Bioinformatics. BioMed Central, 2011, vol. 12, No 485, p. 1-14. ISSN 1471-2105. |
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@article{962192,
author = {Knapp, Bettina and Rebhan, Ilka and Kumar, Anil and Matula, Petr and Kiani, Narsis A and Binder, Marco and Erfle, Hoger and Rohr, Karl and Eils, Roland and Bartenschlager, Ralf and Kaderali, Lars},
article_number = {485},
keywords = {high-content screening; normalization; cell-based analysis},
language = {eng},
issn = {1471-2105},
journal = {BMC Bioinformatics},
title = {Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens},
url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259109/pdf/1471-2105-12-485.pdf},
volume = {12},
year = {2011}
}
TY - JOUR
ID - 962192
AU - Knapp, Bettina - Rebhan, Ilka - Kumar, Anil - Matula, Petr - Kiani, Narsis A - Binder, Marco - Erfle, Hoger - Rohr, Karl - Eils, Roland - Bartenschlager, Ralf - Kaderali, Lars
PY - 2011
TI - Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens
JF - BMC Bioinformatics
VL - 12
IS - 485
SP - 1-14
EP - 1-14
PB - BioMed Central
SN - 14712105
KW - high-content screening
KW - normalization
KW - cell-based analysis
UR - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259109/pdf/1471-2105-12-485.pdf
L2 - http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259109/pdf/1471-2105-12-485.pdf
N2 - 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.
ER -
KNAPP, Bettina, Ilka REBHAN, Anil KUMAR, Petr MATULA, Narsis A KIANI, Marco BINDER, Hoger ERFLE, Karl ROHR, Roland EILS, Ralf BARTENSCHLAGER and Lars KADERALI. Normalizing for Individual Cell Population Context in the Analysis of High-Content Cellular Screens. \textit{BMC Bioinformatics}. BioMed Central, 2011, vol.~12, No~485, p.~1-14. ISSN~1471-2105.
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