ArticleCell2018
Protein Barcodes Enable High-Dimensional Single-Cell CRISPR Screens.
Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
103 citing papers in PubMed.
- Article
- Article
- High-Content CRISPR Screening: Methods and Applications.MedComm · 2026Review
- PSMB8: an immune-related prognostic marker for low-grade gliomas.Translational cancer research · 2026Article
- Spatial omics illuminates tumor heterogeneity.Cell reports methods · 2026Review
- Bacterial surface display enables lysis-independent joint host-pathogen single-cell profiling.bioRxiv : the preprint server for biology · 2026Article
- A Comprehensive Review on CRISPR-Based Screening and Its Applications.Molecular biotechnology · 2026Review
- Spatial CRISPR screens map total RNA in tissue.Nature biotechnology · 2026Article
- Charting single-cell lineages with synthetic and natural barcodes.Nature reviews. Genetics · 2026Review
- Macrophages: Targets for next-generation cancer immunotherapy.Cancer cell · 2026Review
- Uncovering causal relationships in single-cell omic studies with causarray.Briefings in bioinformatics · 2026Article
- Spatial perturb-seq: single-cell functional genomics within intact tissue architecture.Nature communications · 2026Article
- Updates on radiotherapy-immunotherapy combinations: Proceedings of 8th Annual ImmunoRad Conference.Oncoimmunology · 2025Article
- QuiCAT: a scalable and flexible framework for mapping synthetic sequences.Bioinformatics (Oxford, England) · 2025Article
- Dissecting cellular ecosystem with single-cell CRISPR screens.Blood science (Baltimore, Md.) · 2025Article
- All-optical visualization of specific molecules in the ultrastructural context of brain tissue.Nature biotechnology · 2025Article
- Genetic Convergence Analysis of CRISPR Perturbations Deciphers Gene Functional Similarity.bioRxiv : the preprint server for biology · 2025Article
- Scalable imaging-based profiling of CRISPR perturbations with protein barcodes.bioRxiv : the preprint server for biology · 2025Article
- Methods and applications of in vivo CRISPR screening.Nature reviews. Genetics · 2025Review
- Combinatorial protein barcodes enable self-correcting neuron tracing with nanoscale molecular context.bioRxiv : the preprint server for biology · 2025Article
43 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Funding
Abstract
CRISPR pools are being widely employed to identify gene functions. However, current technology, which utilizes DNA as barcodes, permits limited phenotyping and bulk-cell resolution. To enable novel screening capabilities, we developed a barcoding system operating at the protein level. We synthesized modules encoding triplet combinations of linear epitopes to generate >100 unique protein barcodes (Pro-Codes). Pro-Code-expressing vectors were introduced into cells and analyzed by CyTOF mass cytometry. Using just 14 antibodies, we detected 364 Pro-Code populations; establishing the largest set of protein-based reporters. By pairing each Pro-Code with a different CRISPR, we simultaneously analyzed multiple phenotypic markers, including phospho-signaling, on dozens of knockouts. Pro-Code/CRISPR screens found two interferon-stimulated genes, the immunoproteasome component Psmb8 and a chaperone Rtp4, are important for antigen-dependent immune editing of cancer cells and identified Socs1 as a negative regulator of Pd-l1. The Pro-Code technology enables simultaneous high-dimensional protein-level phenotyping of 100s of genes with single-cell resolution.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.