Publications by authors named "Vera Chvalova"

Article Synopsis
  • Mitochondrial shape is crucial for cell health, but assessing it in yeast cells is challenging due to limited methods.
  • A new deep learning model called MitoSegNet was developed, outperforming traditional methods in accurately segmenting mitochondria in yeast cells.
  • The study revealed unique mitochondrial changes in a specific yeast strain (mmi1Δ) under oxidative stress, and all tools and procedures used are publicly accessible online for further research.
View Article and Find Full Text PDF

Calpain2 is a conventional member of the non-lysosomal calpain protease family that has been shown to affect the dynamics of focal and cell-cell adhesions by proteolyzing the components of adhesion complexes. Here, we inactivated calpain2 using CRISPR/Cas9 in epithelial MDCK cells. We show that depletion of calpain2 has multiple effects on cell morphology and function.

View Article and Find Full Text PDF

Quantitative phase imaging (QPI) is a powerful tool for label-free visualisation of living cells. Here, we compare two QPI microscopes - the Telight Q-Phase microscope and the Nanolive 3D Cell Explorer-fluo microscope. Both systems provide unbiased information about cell morphology, such as individual cell dry mass, perimeter and area.

View Article and Find Full Text PDF

The Receptor for Activated C Kinase 1 (RACK1) is an evolutionarily conserved scaffold protein involved in the regulation of numerous cellular processes. Here, we used CRISPR/Cas9 and siRNA to reduce the expression of RACK1 in Madin-Darby Canine Kidney (MDCK) epithelial cells and Rat2 fibroblasts, respectively. RACK1-depleted cells were examined using coherence-controlled holographic microscopy, immunofluorescence, and electron microscopy.

View Article and Find Full Text PDF