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Improved pathway reconstruction from RNA interference screens by exploiting off-target effects.

Sumana Srivatsa1,2, Jack Kuipers1,2, Fabian Schmich1,2

  • 1Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.

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This study introduces probabilistic combinatorial nested effects models (pc-NEMs) to improve biological pathway reconstruction by utilizing off-target effects of short interfering RNAs (siRNAs). The new model enhances network analysis accuracy from gene knockdown data.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Molecular Biology

Background:

  • Pathway reconstruction is crucial for understanding cell signaling mechanisms.
  • Nested effects models (NEMs) are used for pathway reconstruction from perturbation data.
  • Classical NEMs are unreliable due to off-target effects of short interfering RNAs (siRNAs).

Purpose of the Study:

  • To develop an extended NEM called probabilistic combinatorial nested effects models (pc-NEMs).
  • To leverage siRNA off-target effects for more accurate network reconstruction.
  • To improve pathway analysis from combinatorial gene knockdown data.

Main Methods:

  • Developed pc-NEMs, an extension of classical NEMs.
  • Employed an adaptive simulated annealing search algorithm for simultaneous inference of network structure and error rates.
  • Validated the model on simulated data with varying noise levels and real RNA interference screening data.

Main Results:

  • pc-NEMs demonstrated improved network reconstruction accuracy compared to classical NEMs.
  • The model effectively utilizes ancillary siRNA off-target effects.
  • Application to Bartonella henselae infection data yielded an eight-node network, confirming known interactions and revealing novel ones.

Conclusions:

  • pc-NEMs offer a more reliable method for biological pathway reconstruction from gene knockdown data.
  • The model's ability to incorporate off-target effects enhances accuracy.
  • The developed software is available as an R package for broader scientific use.