Back to search

Article

Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapies

2025-12-16

Abstract excerpt

Controlled exit from and re-entry into the cell cycle is essential for multi-cellular life, while aberrant quiescent and senescent cell states have been implicated in age-related diseases and cancer treatment evasion. Recent molecular and imaging studies suggest non-cycling cellular states exist along a continuum of deepening dormancy, whereby the probability of cell cycle re-entry decreases with distance from the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
dfcfba1d-d2bb-5ff4-b85c-d4bc945ce1e1
DOI
10.64898/2025.12.14.692655
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapiesDOI 10.64898/2025.12.14.692655
Select a neighboring publication to make it the new centre.