RESTRICT-seq enables time-gated CRISPR screens and uncovers novel epigenetic dependencies of SCC resistance

Selahattin Can Ozcan1,2,3,4,5, Dreyton G Amador1,2,3,4,5, Justin Anthony Powers6

  • 1Synthetic Regeneration and Systems Physiology Laboratory, Columbia Stem Cell Initiative, Columbia Data Science Institute, Naomi Berrie Diabetes Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, 10032, USA.

Insights

RESTRICT-seq enhances pooled CRISPR screens for dynamic biological studies. This new method overcomes limitations in cancer research, identifying PAK1 as a key driver of treatment resistance in cutaneous squamous cell carcinoma.

Area of Science:

  • Genomics
  • Cancer Biology
  • Molecular Biology

Background:

  • Cancer cells adapt and evade therapies, reducing treatment efficacy.
  • Pooled CRISPR screens are valuable but limited in dynamic biological contexts.
  • Transient processes and cell culture noise hinder traditional screening methods.

Purpose of the Study:

  • To introduce RESTRICT-seq, a novel pooled screening methodology.
  • To overcome limitations of conventional CRISPR screens in dynamic settings.
  • To identify epigenetic drivers of treatment resistance in cutaneous squamous cell carcinoma (cSCC).

Main Methods:

  • Developed RESTRICT-seq, restricting Cas9 nuclear activation in controlled cycles.
  • Mitigated fitness penalties by confining Cas9 activity to temporal windows.
  • Benchmarked RESTRICT-seq against conventional pooled screens and inducible protocols.

Main Results:

  • RESTRICT-seq showed fewer divergent cell clones and higher signal-to-noise ratio.
  • Identified PAK1 as a previously unrecognized mediator of cSCC resistance.
  • Uncovered epigenetic drivers of treatment resistance in the mammalian epigenome.

Conclusions:

  • RESTRICT-seq enhances pooled CRISPR screening applicability in dynamic biological contexts.
  • PAK1 is a significant prognostic marker and therapeutic target for cSCC.
  • RESTRICT-seq is a powerful tool for investigating treatment resistance mechanisms.