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1.
bioRxiv ; 2024 Apr 03.
Artículo en Inglés | MEDLINE | ID: mdl-38617303

RESUMEN

The protocadherins Fat and Dachsous regulate organ growth, shape, patterning, and planar cell polarity. Although Dachsous and Fat have been described as ligand and receptor, respectively, in a signal transduction pathway, there is also evidence for bidirectional signaling. Here we assess signaling downstream of Dachsous through analysis of its intracellular domain. Genomic deletions of conserved sequences within dachsous identified regions of the intracellular domain required for normal development. Deletion of the A motif increased Dachsous protein levels and decreased wing size. Deletion of the D motif decreased Dachsous levels at cell membranes, increased wing size, and disrupted wing, leg and hindgut patterning and planar cell polarity. Co-immunoprecipitation experiments established that the D motif is necessary and sufficient for association of Dachsous with four key partners: Lowfat, Dachs, Spiny-legs, and MyoID. Subdivision of the D motif identified distinct regions that are preferentially responsible for association with Lft versus Dachs. Our results identify motifs that are essential for Dachsous function and are consistent with the hypothesis that the key function of Dachsous is regulation of Fat.

2.
Genetics ; 220(4)2022 04 04.
Artículo en Inglés | MEDLINE | ID: mdl-35243513

RESUMEN

The Drosophila wing imaginal disc is a tissue of undifferentiated cells that are precursors of the wing and most of the notum of the adult fly. The wing disc first forms during embryogenesis from a cluster of ∼30 cells located in the second thoracic segment, which invaginate to form a sac-like structure. They undergo extensive proliferation during larval stages to form a mature larval wing disc of ∼35,000 cells. During this time, distinct cell fates are assigned to different regions, and the wing disc develops a complex morphology. Finally, during pupal stages the wing disc undergoes morphogenetic processes and then differentiates to form the adult wing and notum. While the bulk of the wing disc comprises epithelial cells, it also includes neurons and glia, and is associated with tracheal cells and muscle precursor cells. The relative simplicity and accessibility of the wing disc, combined with the wealth of genetic tools available in Drosophila, have combined to make it a premier system for identifying genes and deciphering systems that play crucial roles in animal development. Studies in wing imaginal discs have made key contributions to many areas of biology, including tissue patterning, signal transduction, growth control, regeneration, planar cell polarity, morphogenesis, and tissue mechanics.


Asunto(s)
Proteínas de Drosophila , Discos Imaginales , Animales , Drosophila/genética , Proteínas de Drosophila/genética , Drosophila melanogaster/genética , Morfogénesis/genética , Alas de Animales
3.
Biochim Biophys Acta ; 1839(9): 800-12, 2014 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-24863159

RESUMEN

Drosophila lin52 (dlin52) is a member of Myb transcription regulator complex and it shows a dynamic pattern of expression in all Drosophila tissues. Myb complex functions to activate or repress transcription in a site-specific manner; however, the detailed mechanism is yet to be clearly understood. Members of the Drosophila melanogaster Myb-MuvB/dREAM complex have been known to regulate expression of a wide range of genes including those involved in regulating apoptosis. E2F and its corepressor RBF also belong to this complex and together they regulate expression of genes involved in cell cycle progression, apoptosis, differentiation, and development. In the present study, we examined whether the depletion of dlin52 in developing photoreceptor neurons results in enhanced apoptosis and disorganisation of the ommatidia. Strikingly, we found that dLin52 is essential for transcriptional repression of the pro-apoptotic gene, hid; decrease in dlin52 levels led to dramatic induction of hid and apoptosis in eye-antennal discs. Reduction of Rpd3 (HDAC1), another member of the dREAM complex, also led to marginal upregulation of Hid. In addition, we also demonstrated that an optimum level of dLin52 is needed for dE2F1/2 activity on the hid promoter. dlin52 cooperates with dRBF and dE2F1/2 for recruitment of repressor complex on the hid promoter. Preliminary data indicate that Rpd3/HDAC1 also contributes to hid repression. Based on the findings, we conclude that dLin52 functions as a co-factor and modulates activity of members of dMyb/dREAM complex at hid promoter, thus regulating apoptosis by repressing this pro-apoptotic gene in the developing Drosophila eye.


Asunto(s)
Proteínas Portadoras/fisiología , Proteínas de Drosophila/genética , Proteínas de Drosophila/fisiología , Drosophila melanogaster/fisiología , Factores de Transcripción E2F/fisiología , Neuropéptidos/genética , Proteína de Retinoblastoma/fisiología , Factores de Transcripción/fisiología , Transcripción Genética , Animales , Apoptosis , Regiones Promotoras Genéticas
4.
IEEE Trans Neural Netw ; 22(5): 727-38, 2011 May.
Artículo en Inglés | MEDLINE | ID: mdl-21447449

RESUMEN

This paper describes an artificial neuron structure and an efficient learning procedure in the complex domain. This artificial neuron aims at incorporating an improved aggregation operation on the complex-valued signals. The aggregation operation is based on the idea underlying the weighted root-power mean of input signals. This aggregation operation allows modeling the degree of compensation in a natural manner and includes various aggregation operations as its special cases. The complex resilient propagation algorithm ([Formula: see text]-RPROP) with error-dependent weight backtracking step accelerates the training speed significantly and provides better approximation accuracy. Finally, performance evaluation of the proposed complex root-power mean neuron with the [Formula: see text]-RPROP learning algorithm on various typical examples is given to understand the motivation.


Asunto(s)
Algoritmos , Inteligencia Artificial , Redes Neurales de la Computación , Neuronas/fisiología , Animales , Simulación por Computador , Humanos , Cómputos Matemáticos , Conceptos Matemáticos , Dinámicas no Lineales , Diseño de Software
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