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Perturb-seq Services

Neorabio provides Perturb-seq services designed to enable causal interrogation of gene function through the integration of pooled genetic perturbation and single-cell transcriptomic profiling. By coupling CRISPR-based perturbation with single-cell RNA sequencing, Perturb-seq makes it possible to directly observe how specific genetic alterations reshape transcriptional programs at cellular resolution. This paradigm shift from correlative association to causal functional analysis was first demonstrated in scalable Perturb-seq implementations reported by Dixit et al. (2016), establishing Perturb-seq as a foundational approach for systematic dissection of gene regulatory circuits in complex cellular systems.

About Service

Neorabio's Perturb-seq services are built on an integrated platform combining optimized perturbation strategies, high-throughput single-cell sequencing, and controlled computational analysis. Experimental workflows encompass guide RNA library design, pooled perturbation delivery, and single-cell transcriptome capture, with careful control of perturbation multiplicity and library representation to ensure interpretability. In data processing and analysis, Neorabio applies analytical logic consistent with functional single-cell screening frameworks in which accurate gRNA-to-cell assignment, perturbation efficiency assessment, and differential expression modeling are treated as interdependent determinants of causal inference.

Our Scope

● Pooled CRISPR Perturbation Design
● Support for CRISPR knockout, CRISPRi, or CRISPRa strategies in pooled formats
● Single-cell Transcriptomic Readout
● Genome-wide expression profiling linked to individual perturbations at single-cell resolution
● Perturbation-aware Data Analysis
● Assignment, differential modeling, and pathway-level interpretation of perturbation effects

Applications

● Systematic interrogation of gene function across heterogeneous cell populations
● Dissection of regulatory networks and downstream transcriptional programs
● Mechanism-of-action studies for genetic or pathway perturbations
● Functional prioritization of candidate genes or targets
● High-throughput causal screening with transcriptome-wide readouts

Workflow

Exploratory Consultation → Perturbation Design & Target Selection → CRISPR Perturbation & Single-Cell Profiling → Perturbation Assignment & Differential Analysis → Functional & Causal Interpretation → Final Report Delivery & Scientific Review

References

Dixit, A., et al. Perturb-Seq: Dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell, 2016, 167(7): 1853–1866. DOI: 10.1016/j.cell.2016.11.038
Adamson, B., et al. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell, 2016, 167(7): 1867–1882. DOI: 10.1016/j.cell.2016.11.048
Replogle, J. M., et al. Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nature Biotechnology, 2020, 38(8): 954–961. DOI: 10.1038/s41587-020-0470-y
Norman, T. M., et al. Exploring genetic interaction manifolds constructed from rich single-cell phenotypes. Science, 2019, 365(6455): 786–793. DOI: 10.1126/science.aax4438

Inquiry Center

Project execution at Neorabio emphasizes traceable perturbation assignment, robust statistical modeling, and transparent reporting across experimental and analytical stages. To support reliable interpretation of perturbation effects, analytical outputs incorporate guide RNA capture and filtering strategies that have been systematically evaluated in next-generation Perturb-seq methodologies, including direct gRNA capture approaches. In addition, higher-order regulatory relationships and gene interaction structures are interpreted using single-cell phenotype–based interaction models developed in large-scale functional genomics studies.

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