Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5906064 | Gene | 2014 | 12 Pages |
Abstract
Change in transcription start site (TSS) usage is an important mechanism for the control of transcription process, and has a significant effect on the isoforms being transcribed. One of the goals in the study of TSS is the understanding of how and why their usage differs in different tissues or under different conditions. In light of recent efforts in the mapping of transcription start site landscape using high-throughput sequencing approaches, a quantitative and automated method is needed to process all the data that are being produced. In this work we propose a statistical approach that will classify changes in TSS distribution between different samples into several categories of changes that may have biological significance. Genes selected by the classifiers can then be analyzed together with additional supporting data to determine their biological significance. We use a set of time-course TSS data from mouse dendritic cells stimulated with lipopolysaccharide (LPS) to demonstrate the usefulness of our method.
Keywords
TAK1LSAMPTLR4SOCS1IL6IFIT1IRFUSP18TBK1ISG15TRAF family member-associated NF-κB activatorNF-κBMouse dendritic cellsTRAFIKZF1NRXN1Fibroblast growth factor 14STAT5ARIP1Ubiquitin-like modifierFGF14MYD88TTRTSSinhibitor of kappa B kinaseinterleukin receptor-associated kinaseubiquitin specific peptidase 18TSCAP-1Gadd45gLPSIKKGM-CSFcDNADNA complementary to RNAJAK/STATMAPKTRIFchromatin immunoprecipitationInterleukin 27interleukin 6cap analysis of gene expressionTTR, Transthyretintumor necrosis factor alphaTANK-binding kinase 1transcription start siteStatistical approachsuppressor of cytokine signaling 1IRAKTNF-αnuclear factor kappa BcagelipopolysaccharideAlternative promotersgranulocyte macrophage colony-stimulating factortankmyeloid differentiation primary response gene 88Limbic system-associated membrane proteinmitogen-activated protein kinaseCHiPjanus kinase/signal transducers and activators of transcriptionJun proto-oncogeneVoltage-gated potassium channelToll-like receptor 4
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Authors
Kuo-ching Liang, Yutaka Suzuki, Yutaro Kumagai, Kenta Nakai,