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Biology subjects

Sankaran, J.

Publications and source records attributed to Sankaran, J..

3 recordsLinked to original sources

Measuring morphogen transport over multiple spatial scales in live zebrafish embryos

Morphogenesis is controlled by signalling morphogens that form gradients across the embryo. The gradient formation requires that the low molecular weight morphogens slow down their diffusion by at least one order of magnitude. However, the precise slow-down of diffusion across the relevant micrometre scales has not been directly observed. Here, we develop and employ Single-Plane Illumination Microscope based spatial Fluorescence Cross-Correlation Spectroscopy (SPIM-sFCCS) to directly measure the diffusion coefficient of the morphogen Squint in early zebrafish embryos as a function of topography and length scale. We show that Squints diffusion coefficient changes on length scales that are commensurate with the diameter of the intercellular spaces in the embryo and that the slow-down is regulated by receptor binding. The slowdown can be reduced by either the knockdown of Activin receptor 2b, a receptor for Squint, or the overexpression of Lefty2, an inhibitor of Squint. Based on our results and supporting simulations, we propose an interstitial space-dependent transient receptor binding and diffusing mechanism to explain this slowdown, which is crucial for gradient formation and embryonic patterning.

developmental biology↗

The dependence of EGFR oligomerization on environment and structure: A camera-based N&B study

Number and Brightness analysis (N&B) is a fluorescence spectroscopy technique to quantify protein oligomerization. Accurate results, however, rely on a good knowledge of non-fluorescent states of the fluorescent labels, especially of fluorescent proteins (FP), which are widely used in biology. FPs have been characterized for confocal but not camera-based N&B, which allows in principle faster measurements over larger areas. Here, we calibrate camera-based N&B implemented on a total internal reflection fluorescence (TIRF) microscope for various fluorescent proteins by determining their propensity to be fluorescent. We then apply camera-based N&B in live CHO-K1 cells to determine the oligomerization state of the epidermal growth factor receptor (EGFR), a transmembrane receptor tyrosine kinase that is a crucial regulator of cell proliferation and survival with implications in many cancers. EGFR oligomerization in resting cells and its regulation by the plasma membrane microenvironment is still under debate. Therefore, we investigate the effects of extrinsic factors, including membrane organization, cytoskeletal structure, and ligand stimulation, and intrinsic factors, including mutations in various EGFR domains, on the receptors oligomerization. Our results demonstrate that EGFR oligomerization increases with removal of cholesterol or sphingolipids, or the disruption of GM3-EGFR interactions, indicating raft association. However, oligomerization was not significantly influenced by the cytoskeleton. Mutations in either I706/V948 residues or E685/E687/E690 residues in the kinase and juxtamembrane domains, respectively, led to a decrease in oligomerization, indicating their necessity for EGFR dimerization. Finally, EGFR phosphorylation is oligomerization-dependent involving the extracellular domain (550-580 residues). Coupled with biochemical investigations, camera-based N&B indicates that EGFR oligomerization and phosphorylation is the outcome of several molecular interactions involving the lipid content and structure of the cell membrane and multiple residues in the kinase, juxtamembrane, and extracellular domains. STATEMENT OF SIGNIFICANCENumber and brightness (N&B) analysis is a powerful tool to determine protein association but is mostly conducted in confocal microscopes. This work determines the brightness and fluorescence probability of a range of fluorescent proteins for camera-based N&B on a total internal reflection microscope, demonstrating that with proper calibration different fluorescent proteins provide the same answers on oligomerization within the margins of error. This camera-based approach allows measuring N&B values across whole cell basal membranes up to an area of ~1,000 m2 simultaneously. N&B is then used in combination with biochemical assays to investigate the oligomerization and activation of the epidermal growth factor receptor (EGFR), a prototypical receptor tyrosine kinase with importance in cell signalling, division and survival and implicated in various cancers. The results indicate that EGFR oligomerization and activation is governed by an interplay between membrane structure and composition and key amino acid residues of EGFR that span the extracellular to the intracellular domains.

biophysics↗

SRRF 'n' TIRF - FCS: Simultaneous spatiotemporal super-resolution microscopy

Super-resolution microscopy and single molecule fluorescence spectroscopy require mutually exclusive experimental strategies optimizing either time or spatial resolution. To achieve both, we implement a GPU-supported, camera-based measurement strategy that highly resolves spatial structures (~60 nm), temporal dynamics ([≤] 2 ms), and molecular brightness from the exact same data set. We demonstrate the applicability and advantages of multi-parametric measurements to monitor the super-resolved structure and dynamics of two different biomolecules, the actin binding polypeptide LifeAct, and the epidermal growth factor receptor (EGFR). Simultaneous super-resolution of spatial and temporal details leads to an improved precision in estimating the diffusion coefficient of LifeAct in dependence of the cellular actin network. Multi-parametric analysis suggests that the domain partitioning of EGFR is primarily determined by EGFR-membrane interactions, possibly sub-resolution clustering and inter-EGFR interactions but is largely independent of EGFR-actin interactions. These results demonstrate that pixel-wise cross-correlation of parameters obtained from different techniques on the same data set enables robust physicochemical parameter estimation and provides new biological knowledge that cannot be obtained from sequential measurements.

biophysics↗