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PreprintCC BY-NC-NDbioRxiv

Transcriptional perturbation effects remain structured beyond the leading global trend

  • Q. Liu
  • Q. Zhang
  • Y. Chen
  • J.-H. Du
  • S. Zhao
  • J. Wang1
  1. 1Department of Statistics, University of Chicago, Chicago, IL, USA
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Abstract

Prior work has described a global transcriptional response to gene perturbation, with many perturbations moving cells along a common direction. We find that perturbations contribute differently to this leading global trend and that substantial organization remains beyond it, including transferable perturbation-specific effects across datasets and a common hierarchy of responsive genes across perturbations. These patterns make simple strategies surprisingly competitive even in predicting effects beyond the leading global component.

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Cite

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BibTeX
@misc{liu2026transcriptional,
  title = {{Transcriptional perturbation effects remain structured beyond the leading global trend}},
  author = {Q. Liu and Q. Zhang and Y. Chen and J.-H. Du and S. Zhao and J. Wang},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.05.756839},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.05.756839v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Transcriptional perturbation effects remain structured beyond the leading global trend
AU  - Q. Liu
AU  - Q. Zhang
AU  - Y. Chen
AU  - J.-H. Du
AU  - S. Zhao
AU  - J. Wang
PY  - 2026
DA  - 2026/10/05
PB  - bioRxiv
DO  - 10.64898/2026.10.05.756839
UR  - https://www.biorxiv.org/content/10.64898/2026.10.05.756839v1
AB  - Prior work has described a global transcriptional response to gene perturbation, with many perturbations moving cells along a common direction. We find that perturbations contribute differently to this leading global trend and that substantial organization remains beyond it, including transferable perturbation-specific effects across datasets and a common hierarchy of responsive genes across perturbations. These patterns make simple strategies surprisingly competitive even in predicting effects beyond the leading global component.
ER  -