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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Analysis of the Cellular Proteins, TIA-1 and TIAR, and their Interaction with the West Nile Virus (WNV) 3' SL Minus-Strand RNA

Emara, Mohamed Maged 23 April 2007 (has links)
The 3' terminal stem loop of the WNV minus-strand [WNV3'(-) SL] RNA was previously shown to bind the cell protein, T-cell intracellular antigen-1 (TIA-1), and the related protein, TIAR. These two proteins are known to bind AU-rich sequences in the 3' UTRs of some cellular mRNAs. AU stretches are located in three single-stranded loops (L1, L2, and L3) of the WNV3'(-) SL RNA. The RNA binding activity of both proteins was reduced when L1 or L2, but not L3, AU sequences were deleted or substituted with Cs. Deletion or substitution with Cs of the entire AU-rich sequence in either L1 or L2 in a WNV infectious clone was lethal for the virus while mutation of some of these nt decreased the efficiency of virus replication. Mutant viral RNAs with small plaque or lethal phenotypes had similar translational efficiencies to wildtype RNA, but showed decreased levels of plus-strand RNA synthesis. These results correlated well with the efficiency of TIA-1 and/or TIAR binding in in vitro assays. In normal cells, TIA-1 and TIAR are evenly distributed in the cytoplasm and nucleus. Between 6 and 24 hr after WNV infection, TIAR concentrated in the perinuclear region and TIA-1 localization to this region began by 24 hr. Similar observations were made in DV2 infected cells but at later times after infection. In infected cells, both proteins colocalized with dsRNA, a marker for viral replication complexes, and with viral non-structural proteins. Anti-TIAR or anti-TIA-1 antibody coimmunoprecipitated viral NS3 and possibly other viral nonstructural proteins. In response to different types stress, TIA-1 and TIAR recruit cell mRNA poly(A)+ into cytoplasmic stress granules (SG) leading to general translational arrest in these cells. SG were not induced by flavivirus infection and cells became increasingly resistant to arsenite induction of SG with time after infection. Processing Body (PB) assembly was also decreased beginning at 24 hr. These data suggest that the sequestration of first TIAR and then TIA-1 via their interaction with viral components in flavivirus infected cells inhibits SG formation and prevents the shutoff of host translation.
2

Analysis of the Cellular Proteins, TIA-1 and TIAR, and their Interaction with the West Nile Virus (WNV) 3' SL Minus-Strand RNA

Emara, Mohamed Maged 03 May 2008 (has links)
The 3' terminal stem loop of the WNV minus-strand [WNV3'(-) SL] RNA was previously shown to bind the cell protein, T-cell intracellular antigen-1 (TIA-1), and the related protein, TIAR. These two proteins are known to bind AU-rich sequences in the 3' UTRs of some cellular mRNAs. AU stretches are located in three single-stranded loops (L1, L2, and L3) of the WNV3'(-) SL RNA. The RNA binding activity of both proteins was reduced when L1 or L2, but not L3, AU sequences were deleted or substituted with Cs. Deletion or substitution with Cs of the entire AU-rich sequence in either L1 or L2 in a WNV infectious clone was lethal for the virus while mutation of some of these nt decreased the efficiency of virus replication. Mutant viral RNAs with small plaque or lethal phenotypes had similar translational efficiencies to wildtype RNA, but showed decreased levels of plus-strand RNA synthesis. These results correlated well with the efficiency of TIA-1 and/or TIAR binding in in vitro assays. In normal cells, TIA-1 and TIAR are evenly distributed in the cytoplasm and nucleus. Between 6 and 24 hr after WNV infection, TIAR concentrated in the perinuclear region and TIA-1 localization to this region began by 24 hr. Similar observations were made in DV2 infected cells but at later times after infection. In infected cells, both proteins colocalized with dsRNA, a marker for viral replication complexes, and with viral non-structural proteins. Anti-TIAR or anti-TIA-1 antibody coimmunoprecipitated viral NS3 and possibly other viral nonstructural proteins. In response to different types stress, TIA-1 and TIAR recruit cell mRNA poly(A)+ into cytoplasmic stress granules (SG) leading to general translational arrest in these cells. SG were not induced by flavivirus infection and cells became increasingly resistant to arsenite induction of SG with time after infection. Processing Body (PB) assembly was also decreased beginning at 24 hr. These data suggest that the sequestration of first TIAR and then TIA-1 via their interaction with viral components in flavivirus infected cells inhibits SG formation and prevents the shutoff of host translation.
3

A computational approach to discovering p53 binding sites in the human genome

Lim, Ji-Hyun January 2013 (has links)
The tumour suppressor p53 protein plays a central role in the DNA damage response/checkpoint pathways leading to DNA repair, cell cycle arrest, apoptosis and senescence. The activation of p53-mediated pathways is primarily facilitated by the binding of tetrameric p53 to two 'half-sites', each consisting of a decameric p53 response element (RE). Functional REs are directly adjacent or separated by a small number of 1-13 'spacer' base pairs (bp). The p53 RE is detected by exact or inexact matches to the palindromic sequence represented by the regular expression [AG][AG][AG]C[AT][TA]G[TC][TC][TC] or a position weight matrix (PWM). The use of matrix-based and regular expression pattern-matching techniques, however, leads to an overwhelming number of false positives. A more specific model, which combines multiple factors known to influence p53-dependent transcription, is required for accurate detection of the binding sites. In this thesis, we present a logistic regression based model which integrates sequence information and epigenetic information to predict human p53 binding sites. Sequence information includes the PWM score and the spacer length between the two half-sites of the observed binding site. To integrate epigenetic information, we analyzed the surrounding region of the binding site for the presence of mono- and trimethylation patterns of histone H3 lysine 4 (H3K4). Our model showed a high level of performance on both a high-resolution data set of functional p53 binding sites from the experimental literature (ChIP data) and the whole human genome. Comparing our model with a simpler sequence-only model, we demonstrated that the prediction accuracy of the sequence-only model could be improved by incorporating epigenetic information, such as the two histone modification marks H3K4me1 and H3K4me3.

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