ArticleeLife2019
A scalable platform for the development of cell-type-specific viral drivers.
Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
78 citing papers in PubMed, 125 citations in OpenAlex.
- Lentiviral single-cell MPRA of synthetic enhancers reveals motif affinity-based encoding of cell state specificity.Genome biology · 2026Article
- TRACR: an anterograde transneuronal tracing system for genetic access across synapses and longitudinal circuit analysis.bioRxiv : the preprint server for biology · 2026Article
- Technical and biological sources of noise confound multiplexed enhancer AAV screening.Nature communications · 2026Article
- Pool-packaged AAV libraries exhibit extensive length-dependent and homology-dependent chimerism.Nature biotechnology · 2026Article
- STARR-CRAAVT: A platform to identify cell type-specific regulatory elements for next-generation gene therapy.iScience · 2026Article
- Multi-omic profiling of human and mouse dorsal root ganglia enables targeted gene delivery to nociceptors.bioRxiv : the preprint server for biology · 2026Article
- The changing landscape of gene expression analysis.Briefings in bioinformatics · 2026Review
- Article
- Spatial genomics of AAV vectors reveals mechanism of transcriptional crosstalk that enables targeted delivery of large genetic cargo.Nature biotechnology · 2026Article
- Spatial transcriptomics reveal heterogeneous cell‒cell interactions among brain regions in cuprizone model consistent with multiple sclerosis lesions.Frontiers in bioinformatics · 2026Article
- Ubiquitous and Brain Cell-Type-Specific Promoters and Enhancers in Lentiviral Vectors.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Stereotaxic Injection of Lentiviral Vectors into the Primate Brain.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Cell-specific delivery of GJB2 restores auditory function in mouse models of DFNB1 deafness and mediates appropriate expression in NHP cochlea.Nature communications · 2025Article
- Novel environment exposure drives temporally defined and region-specific chromatin accessibility and gene expression changes in the hippocampus.Nature communications · 2025Article
- Identification of a robust promoter in mouse and human hepatocytes by in vivo biopanning of a barcoded AAV library.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Combining Machine Learning and Multiplexed,bioRxiv : the preprint server for biology · 2025Article
- A suite of enhancer AAVs and transgenic mouse lines for genetic access to cortical cell types.Cell · 2025Article
- Article
- An enhancer-AAV toolbox to target and manipulate distinct interneuron subtypes.bioRxiv : the preprint server for biology · 2025Article
- Enhancer AAV toolbox for accessing and perturbing striatal cell types and circuits.bioRxiv : the preprint server for biology · 2025Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Enhancers are the primary DNA regulatory elements that confer cell type specificity of gene expression. Recent studies characterizing individual enhancers have revealed their potential to direct heterologous gene expression in a highly cell-type-specific manner. However, it has not yet been possible to systematically identify and test the function of enhancers for each of the many cell types in an organism. We have developed PESCA, a scalable and generalizable method that leverages ATAC- and single-cell RNA-sequencing protocols, to characterize cell-type-specific enhancers that should enable genetic access and perturbation of gene function across mammalian cell types. Focusing on the highly heterogeneous mammalian cerebral cortex, we apply PESCA to find enhancers and generate viral reagents capable of accessing and manipulating a subset of somatostatin-expressing cortical interneurons with high specificity. This study demonstrates the utility of this platform for developing new cell-type-specific viral reagents, with significant implications for both basic and translational research.
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What OpenQuestion holds
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.