Publications by authors named "Bhavna Rajasekaran"

Microridges are evolutionarily conserved actin-rich protrusions present on the apical surface of squamous epithelial cells. In zebrafish epidermal cells, microridges form self-evolving patterns due to the underlying actomyosin network dynamics. However, their morphological and dynamic characteristics have remained poorly understood owing to a lack of computational methods.

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We study spatial correlations between oscillator phases in the steady state of a Kuramoto model, in which phase oscillators that are randomly distributed in space interact with constant strength but within a limited range. Such a model could be relevant, for example, in the synchronization of gene expression oscillations in cells, where only oscillations of neighboring cells are coupled through cell-cell contacts. We analytically infer spatial phase-phase correlation functions from the known steady-state distribution of oscillators for the case of homogenous frequencies and show that these can contain information about the range and strength of interactions, provided the noise in the system can be estimated.

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Apical projections are integral functional units of epithelial cells. Microvilli and stereocilia are cylindrical apical projections that are formed of bundled actin. Microridges on the other hand, extend laterally, forming labyrinthine patterns on surfaces of various kinds of squamous epithelial cells.

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During vertebrate somitogenesis an inherent segmentation clock coordinates the spatiotemporal signaling to generate segmented structures that pattern the body axis. Using our experimental and quantitative approach, we study the cell movements and the genetic oscillations of her1 expression level at single-cell resolution simultaneously and scale up to the entire pre-somitic mesoderm (PSM) tissue. From the experimentally determined phases of PSM cellular oscillators, we deduced an in vivo frequency profile gradient along the anterior-posterior PSM axis and inferred precise mathematical relations between spatial cell-level period and tissue-level somitogenesis period.

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In development and disease, cells move as they exchange signals. One example is found in vertebrate development, during which the timing of segment formation is set by a 'segmentation clock', in which oscillating gene expression is synchronized across a population of cells by Delta-Notch signaling. Delta-Notch signaling requires local cell-cell contact, but in the zebrafish embryonic tailbud, oscillating cells move rapidly, exchanging neighbors.

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Article Synopsis
  • The text indicates that there is a correction to a previously published article with the DOI 10.1371/journal.pone.0150853.!*
  • The correction aims to address inaccuracies or errors found in the original publication.!*
  • Readers should refer to the corrected version for accurate information and findings related to the article’s subject matter.!*
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Article Synopsis
  • Developmental biology often struggles with accurately measuring the position and movement of cells in densely packed embryos due to high cell density and measurement challenges.
  • This study introduces a three-step procedure: a novel segmentation algorithm to automatically identify cell nuclei, a quantitative validation using synthetic images, and a method for generating reliable ground truth datasets using sparse-dense dual-labeled embryos.
  • Together, these steps create a reliable system for enhancing image analysis algorithms and improving microscopy techniques for studying embryonic 3D images.
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A novel conotoxin pl14a containing 25 amino acid residues with an amidated C-terminus from vermivorous cone snail, Conus planorbis belongs to J-conotoxin superfamily and this is the first conotoxin, which inhibits both nicotinic acetylcholine receptor subtypes and Kv1.6 channel. We have attempted through bioinformatics approaches to elucidate the extent of specificity of pl14a towards Kv1 channel subtypes (Kv1.

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Conotoxins are disulfide rich small peptides that target a broad spectrum of ion-channels and neuronal receptors. They offer promising avenues in the treatment of chronic pain, epilepsy and cardiovascular diseases. Assignment of newly sequenced mature conotoxins into appropriate superfamilies using a computational approach could provide valuable preliminary information on the biological and pharmacological functions of the toxins.

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The I-conotoxin superfamily (I-Ctx) is known to have four disulfide bonds with the cysteine arrangement C-C-CC-CC-C-C, and the members inhibit or modify ion channels of nerve cells. Recently, Olivera and co-workers (FEBS J. 2005; 272: 4178-4188) have suggested that the previously described I-Ctx should now be divided into two different gene superfamilies, namely, I1 and I2, in view of their having two different types of signal peptides and exhibiting distinct functions.

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