Behind the scenes of cellular organization: Quantifying spatial phenotypes of puncta structures with statistical...

Area of Science:

• Cell Biology
• Biophysics
• Statistical Modeling

Background:

• The intracellular environment is complex, with spatial organization (spatial phenotypes) influencing cell function.
• Quantifying these spatial phenotypes in stochastic cellular systems is challenging.

Purpose of the Study:

• To develop and apply statistical methods for identifying and quantifying spatial phenotypes within cells.
• To investigate the spatial relationships of peroxisomes with other organelles like the endoplasmic reticulum and mitochondria.

Main Methods:

• Utilizing point-process models to link organelle density to imaged structures.
• Employing random fields to capture hidden stochastic processes influencing spatial distribution.
• Applying these methods to simulated data and multiplexed immunofluorescence images of Vero E6 cells.

Main Results:

• Peroxisomes are predominantly located near the perinuclear region and overlap with the endoplasmic reticulum.
• Peroxisomes are found within 1 micrometer of mitochondria.
• A hidden variation in mean density with a length scale of approximately 15 micrometers was identified.

Conclusions:

• Spatial statistical models, including random fields, provide a valuable framework for understanding intracellular organization.
• The identified spatial relationships offer critical data for developing mechanistic hypotheses in cell biology.