Skip to content

Pseudotime

Definition
AI-generated

Pseudotime is a computational ordering of single cells along a latent axis intended to approximate progression through a biological process (e.g. differentiation or activation) when true time is unknown.

Topics
Single-cell analysis
Related
Principal Component Analysis (PCA) Single-Cell Expression Quantitative Trait Locus (sc-eQTL) Single-Cell Sequencing

Why it matters in GWAS

Some sc-eQTL methods model genetic effects on expression as a function of continuous cell state along pseudotime or related embeddings, capturing eQTLs that emerge only partway through a trajectory.

Example usage

"The interaction between genotype and pseudotime was significant for the master regulator in differentiating iPSC-derived neurons."

Principal Component Analysis (PCA) Single-Cell Expression Quantitative Trait Locus (sc-eQTL) Single-Cell Sequencing Trajectory Inference UMAP
Related-term network

Click any node to open that term page.

Node order. The current term is first. Next come every page linked from Related terms, in the same top-to-bottom order as that list. Then new terms appear in two-hop layers: for each of those direct neighbors (in that same order), their related terms are appended if not already listed. A third pass does the same for two-hop nodes. The walk stops when a fixed maximum number of nodes is reached.

References

  • Cuomo ASE, Nathan A, Raychaudhuri S, et al. (2023). Single-cell genomics meets human genetics. Nat Rev Genet. https://doi.org/10.1038/s41576-023-00599-5
  • Trapnell C, et al. (2014). The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol.
← Pseudogene Puberty →

Last updated (UTC · Git history)