bioRxivJClub
Calibrating developmental dynamics from single-cell atlases: lineage paths outrun least-action routes
bioRxiv · · Preprint · Open access
Liu, Zhou + 2 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
In the lineage-resolved Caenorhabditis elegans atlas, observed lineage-centroid trajectories have an action ratio of 3.79 versus optimal paths, exceeding the learned model’s own forward-simulation score of 2.07.
- Why it matters: Single-cell atlases infer developmental dynamics from snapshots, but the magnitude of deviation between realized lineage paths and inferred least-action routes has lacked controlled measurement.
- What they did: LADD learns a stochastic developmental vector field from time-series single-cell RNA-seq, computes minimum-action and minimum-time paths, and uses a three-layer calibration to separate true path deviation from centroid-measurement cost.
- The result: In Danio rerio, the observed ratio matches the model’s floor, while in C. elegans residual deviation is linked to speed, with lineages moving 30–43% faster along the learned flow.
The findingWhy it mattersWhat they didThe result
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