Biology subjects

Iyer, K. S.

Publications and source records attributed to Iyer, K. S..

3 recordsLinked to original sources

bioRxiv2022

Quantitative analysis of three-dimensional cell organisation and concentration profiles within curved epithelial tissues

Organogenesis involves folding of flat epithelial tissues into three-dimensional (3D) shapes. Quantitative analysis in 3D of the concentration gradients of biochemical and mechano-chemical cues that shape the tissue has remained a challenge, due to the complex tissue geometries. Towards addressing this, we present a methodology that transforms the cartesian images acquired by high-resolution confocal microscopy of curved tissues into a laminar organisation from the outer-most tissue surface. We further detail a data-based intensity correction method to account for the intensity variations that arise as a consequence of the global geometry. Applying our approach to the dome-shaped Drosophila wing disc, we quantitatively estimate the concentration profiles of different biochemical signals, including the Wingless morphogen gradient. The laminar data-organisation method also enabled visualisation of apical and basal layers facilitating an accurate 3D reconstruction of cell shapes within the pseudostratified epithelium. We find that the columnar disc proper cells have irregular 3D shapes and undergo frequent apico-basal cell intercalations, concomitantly leading to cell neighbour exchanges along the apico-basal axis. The workflow of image processing described here may be employed to quantify 3D concentration gradients and 3D cellular organisation in any layered curved tissue, provided a marker describing the reference surface manifold is available.

developmental biology↗

bioRxiv2022

Cellular compartmentalisation and receptor promiscuity as a strategy for accurate and robust inference of position during morphogenesis

Precise spatial patterning of cell fate during morphogenesis requires accurate inference of cellular position. In making such inferences from morphogen profiles, cells must contend with inherent stochasticity in morphogen production, transport, sensing and signalling. Motivated by the multitude of signalling mechanisms in various developmental contexts, we show how cells may utilise multiple tiers of processing (compartmentalisation) and parallel branches (multiple receptor types), together with feedback control, to bring about fidelity in morphogenetic decoding of their positions within a developing tissue. By simultaneously deploying specific and nonspecific receptors, cells achieve a more accurate and robust inference. We explore these ideas in the patterning of Drosophila melanogaster wing imaginal disc by Wingless morphogen signalling, where multiple endocytic pathways participate in decoding the morphogen gradient. The geometry of the inference landscape in the high dimensional space of parameters provides a measure for robustness and delineates stiff and sloppy directions. This distributed information processing at the scale of the cell highlights how local cell autonomous control facilitates global tissue scale design.

biophysics↗

bioRxiv2021

SMC protein RecN drives translocation and remodelling of RecA filament for homology search

While the molecular repertoire of the homologous recombination pathway is well-studied, the search mechanism that enables recombination between distant homologous regions is poorly understood. Earlier work suggests that the recombinase RecA, an essential component for homology search, forms an elongated filament, nucleating at the break site. How this RecA structure carries out long distance search remains unclear. Here, we follow the dynamics of RecA after induction of a single double-strand break on the Caulobacter chromosome. We find that the RecA-nucleoprotein filament, once formed, rapidly translocates in a directional manner in the cell, undergoing several pole-to-pole traversals, until homology search is complete. Concomitant with translocation, we observe dynamic remodelling of the filament. Importantly in vivo, the RecA filament alone is incapable of such long distance movement; both translocation and dynamic remodelling are contingent on action of SMC-like protein RecN, via its ATPase cycle. We provide a stochastic description of RecN-regulated changes in filament length during translocation via modulation of RecA assembly-disassembly. In summary, we have uncovered the three key elements of homology search driven by RecN: mobility of a finite segment of RecA, filament remodelling and ability to conduct multiple pole-to-pole traversals, which together point to a novel optimal search strategy.

cell biology↗