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Discovery of drug mode of action and drug repositioning from transcriptional responses. Francesco Iorioa,b , Roberta Bosottic , Emanuela Scacheric , Vincenzo Belcastroa , Pratibha Mithbaokara , Rosa Ferrieroa ,
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Discovery of drug mode of action and drugrepositioning from transcriptional responses Francesco Iorioa,b, Roberta Bosottic, EmanuelaScacheric, VincenzoBelcastroa, PratibhaMithbaokara, Rosa Ferrieroa, Loredana Murinob, Roberto Tagliaferrib, Nicola Brunetti-Pierria,d, Antonella Isacchic,1, and Diego di Bernardoa,e,1 aTeleThon Institute of Genetics and Medicine, Naples, Italy; cDepartment of Biotechnology, Nerviano Medical Sciences, Milan, Italy; eDepartment of Systems and Computer Science, “Federico II” University of Naples, Naples, Italy; dDepartment of Pediatrics, “Federico II” University of Naples, Naples, Italy; and bDepartment of Mathematics and Computer Science, University of Salerno, Salerno, Italy Presenter: Chifeng Ma
Structure • Background • Method & Result • Conclusion
BackgroundGoal & Key point Drug Mode of Action New drug therapeutic effects /known Drug reposition Drug Signature Extraction Drug Distance Assessment Drug Mode of Action Construction
BackgroundcMap Data • 1,267 compounds • several dosages • 5 cell lines: HL60, PC3, SKMEL5, and MCF7/ssMCF7 Data size: 22277*6836 Drug treated sample Gene Log fold change: Log2(drug treated/normal)
Method & ResultDrug Signature Extraction Notation Initialization • D: the set of all the possible permutations of microarray probe-set identifiers (MPI); • X: a set of ranked lists of probe-set identifiers computed by sorting, in decreasing order, the genome-wide differential expression profiles obtained by treating cell lines with the same drug; • δ: D2 → N: the Spearman’s Footrule distance associating to each pair of ranked lists in X, a natural number quantifying the similarity between them; • B: D2 → D: the Borda Merging Function associating to each pair of ranked lists in X a new ranked list obtained by merging them with the Borda Merging Method;
Method & ResultDrug Signature Extraction Spearman’s Footrule Spearman’s Footrule between two samples x and y Number of genes in the sample here m=22283 The rank list place of the ith gene
Method & ResultDrug Signature Extraction Borda Merging Function A new ranked list of probes z is obtained by sorting them according to their values in P in increasing order
Method & ResultDrug Signature Extraction Prototype Ranked List Generation Once a PRL had been obtained, a signature {p,q} was extracted as the top 250 and bottom 250 as the signature.
Method & ResultDrug Distance Assessment Core distance algorithm: Gene Set Enrichment Analysis(GSEA)
Method & ResultDrug Mode of Action Construction Distance threshold
Method & ResultDrug Mode of Action Construction Community Identification Affinity propagation algorithm • A community is defined as a group of nodes densely interconnected with each other and with fewer connections to nodes outside the group 106 community 1309 nodes 41047 edges (856086 edges total)
Method & ResultDrug Mode of Action Construction Community-Mode of Action relationship assessment • Anatomical Therapeutic Chemical (ATC) code --- 49/92 assessable communities significantly enrichment • GO enrichment analysis • MoA-Community assessment
Method & ResultDrug Distance Assessment Drug to Community distance Distance between Drug d and drug x Number of drugs in C which has a significant edges with drug d
Method & ResultDrug Net (DN) HSP90 inhibitors test • n.28 is closest, composed by the HSP90 in cMap data • n.40 n.63 Na+∕K+-ATPaproteasome inhibitors • n.104 NF-kB inhibitors
Method & ResultDrug Net (DN) Test of cycin-dependent kinases(CDKs) inhibitors and Topoisomerase inhibitors Biology experiment was conduct to confirm that TDK inhibitors and Topo inhibitors share the universal inhibitor p21
Method & ResultDrug Net (DN) • Search DN for drugs similar to 2-deoxy-D-glucose(2DOG) ---n.1---induce autophagy • Closest Drug--- Fasudil--- never been previously linked to autophagy • Biology experiment to confirm that
Conclusion • Developed a general procedure to predict the molecular effects and MoA of new compounds, and to find previously unrecognized applications of well-known drugs • Analyzed the resulting network to identify communities of drugs with similar MoA and to determine the biological pathways perturbed by these compounds. • In addition, experimentally verified a prediction • A website tool was implemented at http://mantra.tigem.it
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The End Thank you! Question?