bioRxivSystems BiologyPreprint
Stress-recovery dynamics reveal a separatrix in transcriptomic landscapes across organs and aging
Bingxian XuiD, Shuqin Ji, Ziyi LiniD, Chunhua DengiD, Lei LiiD
Abstract
Aging is often characterized statically as molecular profiles, but how these profiles may affect the capacity of systems to respond to the external environment remains elusive. We perturbed young and aged mice via transient sleep deprivation and profiled transcriptomes from six organs immediately after stress and following recovery. The same perturbation induced complex temporal dynamics for each gene in an organ- and age- dependent manner. A shape parameter distinguished genes that recovered toward control expression from those that continued to drift away during recovery. Transcriptomic vector fields were inferred from these transitions using neural ordinary differential equations, revealing distinct stability regimes across organ systems. Interestingly, that of testis from the young mice contained a separatrix bounding the region within which perturbed state can return toward control. These findings establish transient perturbation and recovery as a framework for probing age-dependent transcriptomic stability and identifying boundaries that determine whether a perturbed system can return.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: trajectory inference
- research focus: benchmarking
- approach: statistical model
- Citations
- 0
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