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CRISPRmap: Sequencing-free optical pooled screens mapping multi-omic phenotypes in cells and tissue.
Gu, Jiacheng; Iyer, Abhishek; Wesley, Ben; Taglialatela, Angelo; Leuzzi, Giuseppe; Hangai, Sho; Decker, Aubrianna; Gu, Ruoyu; Klickstein, Naomi; Shuai, Yuanlong; Jankovic, Kristina; Parker-Burns, Lucy; Jin, Yinuo; Zhang, Jia Yi; Hong, Justin; Niu, Steve; Chou, Jacqueline; Landau, Dan A; Azizi, Elham; Chan, Edmond M; Ciccia, Alberto; Gaublomme, Jellert T.
Afiliação
  • Gu J; Department of Biological Sciences, Columbia University, NY, USA.
  • Iyer A; Department of Biological Sciences, Columbia University, NY, USA.
  • Wesley B; Department of Biological Sciences, Columbia University, NY, USA.
  • Taglialatela A; Department of Genetics and Development, Columbia University Irving Medical Center, NY, USA.
  • Leuzzi G; Department of Genetics and Development, Columbia University Irving Medical Center, NY, USA.
  • Hangai S; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA.
  • Decker A; Institute for Cancer Genetics, Columbia University Irving Medical Center, NY, USA.
  • Gu R; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA.
  • Klickstein N; Department of Biological Sciences, Columbia University, NY, USA.
  • Shuai Y; Department of Biological Sciences, Columbia University, NY, USA.
  • Jankovic K; Department of Biological Sciences, Columbia University, NY, USA.
  • Parker-Burns L; Department of Biological Sciences, Columbia University, NY, USA.
  • Jin Y; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA.
  • Zhang JY; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA.
  • Hong J; Department of Biomedical Engineering, Columbia University, NY, USA.
  • Niu S; Department of Biomedical Engineering, Columbia University, NY, USA.
  • Chou J; Department of Computer Science, Columbia University, NY, USA.
  • Landau DA; Weill Cornell Medicine, NY, USA.
  • Azizi E; Genentech Research and Early Development, CA, USA.
  • Chan EM; Department of Biological Sciences, Columbia University, NY, USA.
  • Ciccia A; Weill Cornell Medicine, NY, USA.
  • Gaublomme JT; Weill Cornell Medicine, NY, USA.
bioRxiv ; 2023 Dec 26.
Article em En | MEDLINE | ID: mdl-38234835
ABSTRACT
Pooled genetic screens are powerful tools to study gene function in a high-throughput manner. Typically, sequencing-based screens require cell lysis, which limits the examination of critical phenotypes such as cell morphology, protein subcellular localization, and cell-cell/tissue interactions. In contrast, emerging optical pooled screening methods enable the investigation of these spatial phenotypes in response to targeted CRISPR perturbations. In this study, we report a multi-omic optical pooled CRISPR screening method, which we have named CRISPRmap. Our method combines a novel in situ CRISPR guide identifying barcode readout approach with concurrent multiplexed immunofluorescence and in situ RNA detection. CRISPRmap barcodes are detected and read out through combinatorial hybridization of DNA oligos, enhancing barcode detection efficiency, while reducing both dependency on third party proprietary sequencing reagents and assay cost. Notably, we conducted a multi-omic base-editing screen in a breast cancer cell line on core DNA damage repair genes involved in the homologous recombination and Fanconi anemia pathways investigating how nucleotide variants in those genes influence DNA damage signaling and cell cycle regulation following treatment with ionizing radiation or DNA damaging agents commonly used for cancer therapy. Approximately a million cells were profiled with our multi-omic approach, providing a comprehensive phenotypic assessment of the functional consequences of the studied variants. CRISPRmap enabled us to pinpoint likely-pathogenic patient-derived mutations that were previously classified as variants of unknown clinical significance. Furthermore, our approach effectively distinguished barcodes of a pooled library in tumor tissue, and we coupled it with cell-type and molecular phenotyping by cyclic immunofluorescence. Multi-omic spatial analysis of how CRISPR-perturbed cells respond to various environmental cues in the tissue context offers the potential to significantly expand our understanding of tissue biology in both health and disease.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos