Evidence map›Paper›PMID 34759919›Full record

ArticleFrontiers in immunology2021

Deep Parallel Characterization of AAV Tropism and AAV-Mediated Transcriptional Changes

David Brown, Michael Altermatt, Tatyana Dobreva, Sisi Chen, Alexander Wang, Matt Thomson, Viviana Gradinaru

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
8.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
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  13. A comprehensive atlas of AAV tropism in the mouse.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Article
  14. AnFrontiers in genetics · 2025
    Article
  15. Adeno-Associated Viral Vectors in the Treatment of Epilepsy.International journal of molecular sciences · 2024
    Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Quantifying Dendritic Arbors In Vitro and In Vivo in Rodent Models.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

David BrownDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
Michael AltermattDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
Tatyana DobrevaAndrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, United States.
Sisi ChenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
Alexander WangDivision of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, United States.
Matt ThomsonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
Viviana GradinaruDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States.
California Institute of Technology · US

Funding

Predoctoral Training in Quantitative NeuroscienceT32NS105595 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI MARKUS MEISTER · 2019 to 2026
$2.6M
NINDS NIH HHS T32 NS105595
6 · The paper itself

Abstract

Engineered variants of recombinant adeno-associated viruses (rAAVs) are being developed rapidly to meet the need for gene-therapy delivery vehicles with particular cell-type and tissue tropisms. While high-throughput AAV engineering and selection methods have generated numerous variants, subsequent tropism and response characterization have remained low throughput and lack resolution across the many relevant cell and tissue types. To fully leverage the output of these large screening paradigms across multiple targets, we have developed an experimental and computational single-cell RNA sequencing (scRNA-seq) pipeline for

Indexed as

Genetic TherapyRNA-SeqSingle-Cell AnalysisTranscription, GeneticViral TropismAnimalsAstrocytesDatabases, GeneticDependovirusGenetic EngineeringGenetic VectorsHost-Pathogen InteractionsIn Situ Hybridization, FluorescenceMaleMiceMice, Inbred BALB Ccomputational biologygene therapymolecular biologyneurosciencenext generation sequencing

Identifiers

PMID34759919
PMCPMC8574206
OpenAlexW3210894955

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.