NDLI: An integrated one-step system to extract, analyze and annotate all relevant information from image-based cell screening of chemical libraries

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Back matter

Back cover

Molecular BioSystems Vol - 6 Issue - 3

Molecular BioSystems Vol - 6 Issue - 2

Molecular BioSystems Vol -5

Molecular BioSystems Vol -4

Molecular BioSystems Vol -3

Molecular BioSystems Vol -2

An integrated one-step system to extract, analyze and annotate all relevant information from image-based cell screening of chemical libraries

Content Provider	Royal Society of Chemistry (RSC)
Author	Rabal, Obdulia Link, Wolfgang Bischoff, James R. Oyarzabal, Julen Serelde, Beatriz G.
Copyright Year	2010
Abstract	Here we report the development and validation of a complete solution to manage and analyze the data produced by image-based phenotypic screening campaigns of small-molecule libraries. In one step initial crude images are analyzed for multiple cytological features, statistical analysis is performed and molecules that produce the desired phenotypic profile are identified. A naïve Bayes classifier, integrating chemical and phenotypic spaces, is built and utilized during the process to assess those images initially classified as “fuzzy”—an automated iterative feedback tuning. Simultaneously, all this information is directly annotated in a relational database containing the chemical data. This novel fully automated method was validated by conducting a re-analysis of results from a high-content screening campaign involving 33 992 molecules used to identify inhibitors of the PI3K/Akt signaling pathway. Ninety-two percent of confirmed hits identified by the conventional multistep analysis method were identified using this integrated one-step system as well as 40 new hits, 14.9% of the total, originally false negatives. Ninety-six percent of true negatives were properly recognized too. A web-based access to the database, with customizable data retrieval and visualization tools, facilitates the posterior analysis of annotated cytological features which allows identification of additional phenotypic profiles; thus, further analysis of original crude images is not required.
Starting Page	711
Ending Page	720
Page Count	10
File Format	HTM / HTML PDF
ISSN	1742206X
Volume Number	6
Issue Number	4
Journal	Molecular BioSystems
DOI	10.1039/b919830j
Language	English
Publisher	Royal Society of Chemistry
Access Restriction	Open
Subject Keyword	Mechanistic target of rapamycin Protein kinase B Phenotypic screening Bayes Relational database Cell biology Naive Bayes classifier
Content Type	Text
Resource Type	Article
Subject	Molecular Biology Biotechnology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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