qSR

qSR performs quantitative analysis of single molecule localization microscopy (SMLM) data to characterize the spatial and temporal organization and dynamics of protein clusters at sub-diffractive scales.

Key Features:

• Quantitative SMLM analysis: Analyzes single molecule localization microscopy (SMLM) data to extract quantitative measures of localization and clustering.
• Integration of multiple algorithms: Applies multiple algorithms to enable spatial and temporal characterization of protein clusters.
• Clustering behavior characterization: Provides quantitative assessment of protein cluster organization and dynamics at sub-diffractive resolution.
• Live and fixed cell analysis: Supports analysis of datasets derived from both live and fixed cells to capture dynamic and static behaviors.
• RNA Polymerase II (Pol II) analysis: Demonstrated capability to reveal highly dynamic Pol II clustering in live cell data.
• RNA Polymerase I (Pol I) and cell-cycle analysis: Used to investigate endogenous Pol I organization and dynamics across the cell cycle, identifying coexisting stable and transient cluster populations and changes in their relative fractions.

Scientific Applications:

• Protein organization studies: Characterizes sub-diffractive spatial organization of proteins in cells.
• Dynamic clustering analysis: Quantifies temporal dynamics of protein clusters in live-cell SMLM experiments.
• Pol II dynamics: Analyzes dynamic behavior and clustering patterns of RNA Polymerase II in live cells.
• Pol I cell-cycle dynamics: Investigates organization and transient versus stable clustering of RNA Polymerase I through different cell-cycle phases and their relation to global gene expression.

Methodology:

Performs quantitative analysis of single molecule localization microscopy (SMLM) data using multiple algorithms for spatial and temporal characterization of protein clusters and for analysis of clustering behavior in live and fixed cells.