Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits

Cell. 2025 Apr 17;188(8):2141-2158.e18. doi: 10.1016/j.cell.2025.02.012. Epub 2025 Mar 12.

Abstract

Pooled optical screens have enabled the study of cellular interactions, morphology, or dynamics at massive scale, but they have not yet leveraged the power of highly plexed single-cell resolved transcriptomic readouts to inform molecular pathways. Here, we present a combination of imaging spatial transcriptomics with parallel optical detection of in situ amplified guide RNAs (Perturb-FISH). Perturb-FISH recovers intracellular effects that are consistent with single-cell RNA-sequencing-based readouts of perturbation effects (Perturb-seq) in a screen of lipopolysaccharide response in cultured monocytes, and it uncovers intercellular and density-dependent regulation of the innate immune response. Similarly, in three-dimensional xenograft models, Perturb-FISH identifies tumor-immune interactions altered by genetic knockout. When paired with a functional readout in a separate screen of autism spectrum disorder risk genes in human-induced pluripotent stem cell (hIPSC) astrocytes, Perturb-FISH shows common calcium activity phenotypes and their associated genetic interactions and dysregulated molecular pathways. Perturb-FISH is thus a general method for studying the genetic and molecular associations of spatial and functional biology at single-cell resolution.

Keywords: multimodal screening; pooled CRISPR screen; pooled optical profiling; single-cell perturbations; spatial transcriptomics.

MeSH terms

  • Animals
  • Astrocytes / cytology
  • Astrocytes / metabolism
  • Autism Spectrum Disorder / genetics
  • CRISPR-Cas Systems* / genetics
  • Clustered Regularly Interspaced Short Palindromic Repeats* / genetics
  • Gene Expression Profiling / methods
  • Gene Regulatory Networks*
  • Humans
  • Immunity, Innate
  • Induced Pluripotent Stem Cells / cytology
  • Induced Pluripotent Stem Cells / metabolism
  • Lipopolysaccharides / pharmacology
  • Mice
  • Monocytes / metabolism
  • Single-Cell Analysis / methods
  • Transcriptome* / genetics

Substances

  • Lipopolysaccharides