1 / 4

Systematic prediction of novel gene targets associated to mitosis:

Systematic prediction of novel gene targets associated to mitosis:. Integration of prediction methods. Experimental validation. Novel s pindle proteins. Fisher. 1).

hanzila
Download Presentation

Systematic prediction of novel gene targets associated to mitosis:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Systematicprediction of novel gene targets associatedto mitosis: Integration of predictionmethods Experimental validation Novel spindle proteins Fisher 1) Rojas et al. Uncoveringthe molecular machinery of the human spindle--anintegration of wet and drysystemsbiology. PLoSOne. 2012;7(3):e31813 Kernels Novel Chromos. Conden. Genes 2) Jean-KarimHériché et al. …& Jan Ellenberg. Integration of biological data by kernels on graph nodes allows prediction of genes involved in mitotic chromosome condensation . Submitted.

  2. Functionalprediction of novel genes and gene relationshipsrelatedtocellmigration: 3) Case study: ECM stiffnesseffectsin the MCF10CA1a malignanttumourcellline. Functionalsystemsprediction usingproteinnetworks and kernels Diferentiallyexpressed genes Transcriptomic and proteomic data In collaborationwithStaffanStrömblad.

  3. Methodstoidentifygeneticexpressionvariationassociatedwithdrug response in heterogeneoustumours 1) Tumourlines / taxoltreatment 4) Tumourlinesseparation: Sensitive / Resistant Gene expressionmatrix + Celltypesfrequencymatrix + Multi-regression 3) 2) Sensitive / Resistant Heatmap of theidentified genes Changes in expressiondependantoncelltypes and drugtreatment response In collaborationwithAltschuler & Wulab (UT Southwestern). Manuscript in preparation.

  4. Relationship of genes in differentontologies: Gene Ontology (GO) and experimental phenotypes. Metricstomeasuregene pairssimilarity in differentontologies: Metriccorrelationcomparisonstudies: Semanticsimilarity in GO. • Euclideandistance • StandarizedEuclideandistance • Mahalanobisdistance • City Block metric • Minkowskimetric • Cosinedistance • Correlationdistance • Hammingdistance • HammingModifiedsimilarity • Jaccarddistance • Clusteringdistance • Clusteringsimilarity • TF-IDF similarity Ongoingwork in collaborationwithGabriellaRustici.

More Related