Integrated intracellular organization and its variations in human iPS cells

Area of Science:

• Cell Biology
• Genomics
• Bioinformatics

Background:

• Cellular phenotype is determined by complex gene expression, making it challenging to understand.
• Cellular organization, including organelles, is a key readout and driver of cell behavior.

Purpose of the Study:

• To simplify the study of cellular phenotype by focusing on cellular organization.
• To create a comprehensive dataset and analysis framework for quantitative cell structure analysis.

Main Methods:

• Generated the WTC-11 hiPSC Single-Cell Image Dataset with over 200,000 live cells in 3D, covering 25 key cellular structures.
• Developed a generalizable analysis framework to convert raw cell image data into quantitative measurements.
• Integrated cell-to-cell variability and facilitated data exploration for structural organization.

Main Results:

• The integrated intracellular organization of interphase cells is robust to cell shape variations.
• Cellular structures at colony edges showed polarization while maintaining interaction 'wiring'.
• Early mitotic reorganization involved changes in both structure location and their interactions ('wiring').

Conclusions:

• The developed framework enables quantitative analysis of cellular organization across cell populations.
• Cellular organization demonstrates robustness and adaptability in response to cell shape and colony environment.
• Dynamic changes in intracellular structure location and interactions are critical during cell division.