Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories

To investigate how cellular variations arise across spatiotemporal scales in a population of identical healthy cells, we performed a data-driven analysis of nuclear growth variations in hiPS cell colonies as a model system. We generated a 3D timelapse dataset of thousands of nuclei over multiple days and developed open-source tools for image and data analysis and feature-based timelapse data exploration. Together, these data, tools, and workflows comprise a framework for systematic quantitative analysis of dynamics at individual and population levels, and the analysis further highlights important aspects to consider when interpreting timelapse data. We found that individual nuclear volume growth trajectories arise from short-timescale variations attributable to their spatiotemporal context within the colony. We identified a time-invariant volume compensation relationship between nuclear growth duration and starting volume across the population. Notably, we discovered that inheritance plays a crucial role in determining these two key nuclear growth features while other growth features are determined by their spatiotemporal context and are not inherited.

Authors

Institutions

Publication Details

Journal
Cell Systems
Published
2025-05-01
DOI
https://doi.org/10.1016/j.cels.2025.101265
Citations
3
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
5.45

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories

Christopher L. Frick, Melissa Hendershott, Clare Gamlin, Sandra A. Oluoch et al.
3 citations
Cell Systems
Evolution and Genetic Dynamics
5.45
article

Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories

Christopher L. Frick, Melissa Hendershott, Clare Gamlin, Sandra A. Oluoch, Benjamin Morris, Leigh K. Harris, Lyndsay Wilhelm, Saurabh S. Mogre, Derek Thirstrup, Kyle N. Klein, M. Sluzewski, Susanne M. Rafelski, Daniel Toloudis, Jianxu Chen, Ritvik Vasan, Julie C. Dixon, Chantelle L. Leveille, Matheus P. Viana, P. Lee, Julie A. Theriot, Ruian Yang, Nivedita Nivedita, Graham T. Johnson, Philip Garrison, Cameron L. Fraser
article en
3 citations

Abstract

To investigate how cellular variations arise across spatiotemporal scales in a population of identical healthy cells, we performed a data-driven analysis of nuclear growth variations in hiPS cell colonies as a model system. We generated a 3D timelapse dataset of thousands of nuclei over multiple days and developed open-source tools for image and data analysis and feature-based timelapse data exploration. Together, these data, tools, and workflows comprise a framework for systematic quantitative analysis of dynamics at individual and population levels, and the analysis further highlights important aspects to consider when interpreting timelapse data. We found that individual nuclear volume growth trajectories arise from short-timescale variations attributable to their spatiotemporal context within the colony. We identified a time-invariant volume compensation relationship between nuclear growth duration and starting volume across the population. Notably, we discovered that inheritance plays a crucial role in determining these two key nuclear growth features while other growth features are determined by their spatiotemporal context and are not inherited.

Cell SystemsVol. 16(5)
Howard Hughes Medical Institute (US), University of Washington (US), Allen Institute (US), Allen Institute for Cell Science (US)
Howard Hughes Medical Institute, National Human Genome Research Institute
Openalex Percentile: Top 5%
Evolution and Genetic Dynamics
5.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.