3 resultados para Thermo-optic coefficients

em DigitalCommons@The Texas Medical Center


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The mechanisms regulating retinal ganglion cell (RGC) development are crucial for retinogenesis and for the establishment of normal vision. However, these mechanisms are only vaguely understood. RGCs are the first neuronal lineage to segregate from pluripotent progenitors in the developing retina. As output neurons, RGCs display developmental features very distinct from those of the other retinal cell types. To better understand RGC development, we have previously constructed a gene regulatory network featuring a hierarchical cascade of transcription factors that ultimately controls the expression of downstream effector genes. This has revealed the existence of a Pou domain transcription factor, Pou4f2, that occupies a key node in the RGC gene regulatory network and that is essential for RGC differentiation. However, little is known about the genes that connect upstream regulatory genes, such as Pou4f2 with downstream effector genes responsible for RGC differentiation. The purpose of this study was to characterize the retinal function of eomesodermin (Eomes), a T-box transcription factor with previously unsuspected roles in retinogenesis. We show that Eomes is expressed in developing RGCs and is a mediator of Pou4f2 function. Pou4f2 directly regulates Eomes expression through a cis-regulatory element within a conserved retinal enhancer. Deleting Eomes in the developing retina causes defects reminiscent of those in Pou4f2(-/-) retinas. Moreover, myelin ensheathment in the optic nerves of Eomes(-/-) embryos is severely impaired, suggesting that Eomes regulates this process. We conclude that Eomes is a crucial regulator positioned immediately downstream of Pou4f2 and is required for RGC differentiation and optic nerve development.

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A Bayesian approach to estimation of the regression coefficients of a multinominal logit model with ordinal scale response categories is presented. A Monte Carlo method is used to construct the posterior distribution of the link function. The link function is treated as an arbitrary scalar function. Then the Gauss-Markov theorem is used to determine a function of the link which produces a random vector of coefficients. The posterior distribution of the random vector of coefficients is used to estimate the regression coefficients. The method described is referred to as a Bayesian generalized least square (BGLS) analysis. Two cases involving multinominal logit models are described. Case I involves a cumulative logit model and Case II involves a proportional-odds model. All inferences about the coefficients for both cases are described in terms of the posterior distribution of the regression coefficients. The results from the BGLS method are compared to maximum likelihood estimates of the regression coefficients. The BGLS method avoids the nonlinear problems encountered when estimating the regression coefficients of a generalized linear model. The method is not complex or computationally intensive. The BGLS method offers several advantages over Bayesian approaches. ^

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Viral systems have contributed tremendously to the understanding of eukaryotic molecular biology. The proportional pattern of retroviral RNA expression offers many clues into the alternative splicing of cellular transcripts. The MuSVts110 virus presents an unusual expression system, where the mechanistic combination of RNA splicing and cellular transformation can be physiologically manipulated. Splicing of MuSVts110 pre-mRNA occurs inefficiently (30%-50%) at 33$\sp\circ$C or below and is subdued at 39$\sp\circ$C ($<$5%). Like most alternatively spliced cellular and retroviral transcripts, the MuSVts110 pre-mRNA contains cis-acting intron and exon sequences that attenuate splicing. These include a splicing inhibitory sequence at the 3$\prime$ end of the MuSVts110 v-mos exon, called the E2 Distal Element (E2DE), and a sub-optimal 3$\prime$ splice site. The E2DE directly inhibits MuSVts110 RNA splicing in a sequence-specific fashion at 39$\sp\circ$C but not at 28$\sp\circ$C, potentially through the association of cellular factors. Inefficient MuSVts110 splicing is pre-dominantly attributed to the utilization of multiple weak branchpoint sequences located between $-113$ and $-34$ nucleotides upstream of the 3$\prime$ splice site. The molecular control of MuSVts110 splicing, represented primarily by scattered multiple inefficient branchpoint sequences that are conditionally modulated by the E2DE at higher growth temperatures, is discussed. ^