Abstract
epidermis span a wide range of sizes and ploidy levels, but rules that generate this heterogeneity across an organ remain unclear. Clark et al. identify a shared genetic pathway that promotes large, polyploid pavement cells in both sepals and leaves, then ask whether the familiar "scattered" distribution of giant cells is truly random. By combining whole-tissue imaging with two independent computational randomization approaches that regenerate tissues from segmented images while preserving cell size distributions and key boundary constraints, together with a stochastic cell-autonomous model, the authors show how an initially random pattern can later appear clustered relative to a changing random baseline as tissues grow and subdivide. The study provides a quantitative framework for testing spatial organization in cellular mosaics where point-based methods fail, and it shows how proliferation history can convert early stochastic fate decisions into a statistically non-random mature pattern.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-nd. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 4
Claim · model-written summary
A shared genetic pathway promotes large, polyploid pavement cells in both sepals and leaves.
- Organ / stage
- sepals and leavese0
- Gene
- shared genetic pathwaye0
- Outcome
- large, polyploid pavement cellse0
Not reportedTaxon
Verbatim
e0“identify a shared genetic pathway that promotes large, polyploid pavement cells in both sepals and leaves”
Claim · model-written summary
An initially random pattern of giant cells can later appear clustered relative to a changing random baseline as tissues grow and subdivide.
- Outcome
- appear clustered relative to a changing random baselinee0
Not reportedTaxonDirection
Verbatim
e0“an initially random pattern can later appear clustered relative to a changing random baseline as tissues grow and subdivide”
Claim · model-written summary
The study provides a quantitative framework for testing spatial organization in cellular mosaics where point-based methods fail.
Verbatim
e0“provides a quantitative framework for testing spatial organization in cellular mosaics where point-based methods fail”
Claim · model-written summary
Proliferation history can convert early stochastic fate decisions into a statistically non-random mature pattern.
Not reportedTaxon
Verbatim
e0“proliferation history can convert early stochastic fate decisions into a statistically non-random mature pattern”