Michael J. Tisza
National Institutes of Health
GeneCancerMembrane fluidityGenomeMicrobiomeMetagenomicsRefSeqEcologyHuman viromeCapsidCholesterolViral metagenomicsMetastasisComputer scienceCancer researchGeneticsMotilityComputational biologyEvolutionary biologyGenBankBiology
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#1Weina Zhao (University of Texas Health Science Center at Houston)H-Index: 3
#2Michael J. Tisza (University of Texas Health Science Center at Houston)H-Index: 7
Last. Jeffrey T. Chang (University of Texas Health Science Center at Houston)H-Index: 41
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Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA New therapeutic targets that can inhibit cancer metastasis are desperately needed. To address this issue, we have leveraged a computational approach and performed an unbiased screen for therapies that can inhibit an epithelial-to-mesenchymal transition (EMT) gene expression profile, a phenotype that is believed to promote metastases. This yielded predictions of drugs that can both promote and inhibit an EMT transcriptional pro...
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