Perturb-seq Using ABE8e Base Editing to Functionally Characterize a Subset of Blood Pressure- and CAD-Associated Genetic Variants in TeloHAEC Cells v1
Bibliographic record
Abstract
This study follows a previously developed pooled Adenine Base Editing (ABE) screen that assessed the functional impact of 1,271 genetic variants associated with blood pressure (BP) traits and coronary artery disease (CAD) in human endothelial cells (TeloHAEC). That screen, based on variants identified through genome-wide association studies (GWAS) and fine-mapped using UK Biobank data, enabled high-throughput functional annotation of disease-linked loci. Building upon this, the current protocol describes a Perturb-seq approach to characterize a selected subset of these variants at single-cell resolution. This method combines ABE8e-mediated base editing with single-cell RNA sequencing of CRISPR perturbations to elucidate the transcriptomic consequences of specific genetic edits in endothelial cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".