published-canonicalmeasurementmaha-epistemic/1.0

Single-cell perturbation readout

Joint capture of perturbation identity and single-cell molecular state to resolve heterogeneous responses in a pooled experiment. This candidate preserves the experimental unit—editor or circuit, target, cell system, delivery, protocol, assay, comparator, and observation window—before any broader inference is considered.

Bounded definition

Joint capture of perturbation identity and single-cell molecular state to resolve heterogeneous responses in a pooled experiment.

What the cited work establishes

The study combines pooled CRISPR perturbations with single-cell RNA sequencing to resolve perturbation-associated transcriptional states in specified immune-cell experiments.

The constructs, biological systems, protocols, assays, datasets, and comparisons reported in Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.

Claims: urn:maha:claim:single-cell-perturbation-readout

What remains a separate question

Transcriptional state changes are assay- and model-dependent and do not alone prove direct mechanism or organism phenotype.

Transcriptomic association does not by itself establish direct mechanism, organism phenotype, safety, or therapeutic effect.

Connected domain graph

Typed dependencies preserve publication state.

Only independently canonical records receive public links and relation statements. Draft graph topology remains private.

mechanistic dependencycanonical

Pooled CRISPR screening

inbound connection · method

Single-cell readouts add state-resolved measurements to pooled perturbation designs.

mechanistic dependencycanonical

Pooled CRISPR screening

outbound connection · method

Perturb-seq extends pooled screens with cell-resolved transcriptomic outcomes.

Claim ledger

Every proposition keeps its own evidence state.

empirical-claimsingle-study

The cited Perturb-seq study connects CRISPR perturbations with single-cell RNA profiles in specified immune-cell experiments.

Scope
The constructs, biological systems, protocols, assays, datasets, and comparisons reported in Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens.
Boundary
Transcriptional state changes are assay- and model-dependent and do not alone prove direct mechanism or organism phenotype.
Uncertainty
There is no universal effect estimate for this method; numerical results remain attached to the source experiment, biological system, assay, and analysis choices.
Replication
This candidate records one bounded source package. Independent replications and contradictory results must be compiled separately before evidence maturity is upgraded.

Primary sources

Citation, locator, rights, and boundary travel together.

  1. Source 1 · Cell

    Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens

    Atray Dixit, Oren Parnas, Biyu Li, Jenny Chen, et al.

    Exact locator
    Summary; Figures 1–7; STAR Methods; supplementary tables and sequencing data.
    Establishes
    The study combines pooled CRISPR perturbations with single-cell RNA sequencing to resolve perturbation-associated transcriptional states in specified immune-cell experiments.
    Boundary
    Transcriptomic association does not by itself establish direct mechanism, organism phenotype, safety, or therapeutic effect.
    Rights basis
    citation with paraphrase · Maha paraphrases the source-level result and links to the version of record; no article passage is reproduced.