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D Page Baluch

Publications and source records attributed to D Page Baluch.

3 recordsLinked to original sources

PKC isotypes in post-activated and fertilized mouse eggs: association with the meiotic spindle.

Several isotypes of protein kinase C (PKC) have been reported to be expressed in mammalian eggs, but it is unknown whether these isotypes have a common function in the egg during or within the first few hours of fertilization. Here we show that the isotypes of PKC exhibit distinct patterns of enrichment immediately after mouse egg activation. PKCalpha and gamma accumulate in the egg cortex 25 min post-activation, while only PKCalpha accumulates at the contractile ring of the forming second polar body about 1.5 h post-activation. PKCzeta exhibits some unique features that resulted in it being the focus of more extensive analysis. PKCzeta is tightly associated with the meiotic spindle as determined by detergent extraction and is closely associated with alpha-tubulin as determined by FRET analysis in the metaphase II (MII) egg. In addition, after egg activation, PKCzeta remains associated with the spindle as it transits into anaphase II and later telophase II, becoming associated with the midzone microtubules. Antibodies to the active form of PKCzeta are enriched on the spindle poles and later in development on the midzone microtubules. Active PKCzeta also is enriched in both pronuclei in the 6-h post-fertilization and in the 14-h post-fertilization embryo as well as in the nuclei of the two-cell embryo. Inhibition of PKCzeta, but not inhibition of other isotypes of PKC, results in rapid disruption of the meiotic spindle. This study suggests that PKCzeta has a role in spindle stability, while other PKC isotypes have different roles in the conversion of the egg to the zygote.

Animals↗

Cellular scaffolds in mammalian eggs.

Cellular scaffolds serve as structural components to which various elements of signal transduction pathways can be associated. The association of components on a scaffold can have several important functions, for example they can: 1) associate upstream regulatory components in a cascade that can increase the speed of response to a stimulus; 2) restrict access of substrates to enzymes associated with the scaffold; 3) permit cross talk between distinct signaling pathways, and; 4) aid in the establishment of cellular polarity. The conversion of the mammalian egg into the zygote requires many rapid alterations during a distinct time frame to mediate the biochemical and structural changes that occur. Cellular scaffolds provide a mechanism that can perform these rapid, highly orchestrated changes. They can permit interaction between distinct calcium-dependent pathways and also can provide a means for the calcium signal, that is initiated by fertilization, to act on calcium-independent pathways. This review considers various lines of evidence suggesting that in the mammalian egg, the meiotic spindle serves as a cellular scaffold that permits coordination among several signaling pathways essential for fertilization and the initiation of early development.

Animals↗

Thin structure segmentation and visualization in three-dimensional biomedical images: a shape-based approach.

This paper presents a shape-based approach in extracting thin structures, such as lines and sheets, from three-dimensional (3D) biomedical images. Of particular interest is the capability to recover cellular structures, such as microtubule spindle fibers and plasma membranes, from laser scanning confocal microscopic (LSCM) data. Hessian-based shape methods are reviewed. A synthesized linear structure is used to evaluate the sensitivity of the multiscale filtering approach in extracting closely positioned fibers. We find that the multiscale approach tends to fuse lines together, which makes it unsuitable for visualizing mouse egg spindle fibers. Single-scale Gaussian filters, balanced between sensitivity and noise resistance, are adopted instead. In addition, through an ellipsoidal Gaussian model, the eigenvalues of the Hessian matrix are quantitatively associated with the standard deviations of the Gaussian model. Existing shape filters are simplified and applied to LSCM data. A significant improvement in extracting closely positioned thin lines is demonstrated by the resultant images. Further, the direct association of shape models and eigenvalues makes the processed images more understandable qualitatively and quantitatively.

Algorithms↗