Evidence map›Paper›PMID 41648586›Full record

ArticlebioRxiv : the preprint server for biology2026

Deep learning-guided design of cell type-specific AAV promoters.

Sean K Wang, Boxiong Deng, Surag Nair, Xiaobai Ren, Jiaying Li, Jenna Tijerina, Praveen Prakhar, Ziming Luo, Chelsea Nnebe, Samuel H Kim and 13 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

23 authors.

Sean K WangSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.ORCID 0000-0003-1557-8510
Boxiong DengSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Surag NairDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Xiaobai RenSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Jiaying LiSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Jenna TijerinaDepartment of Neurobiology, University of Chicago, Chicago, IL, USA.
Praveen PrakharSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Ziming LuoSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Chelsea NnebeSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Samuel H KimCancer Biology Program, Stanford University, Stanford, CA, US.
Yimin ZhouLingang Laboratory, Shanghai, China.
Sahil H ShahSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Alexander DavisSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Rohan MahajanSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Yilin QiaoSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Yuxi ZhouSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Jenny ZhangSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Yunlu XueLingang Laboratory, Shanghai, China.
Jeffrey L GoldbergSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
Wei WeiDepartment of Neurobiology, University of Chicago, Chicago, IL, USA.
Anshul KundajeDepartment of Computer Science, Stanford University, Stanford, CA, USA.
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
Sui WangSpencer Center for Vision Research, Byers Eye Institute, Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.

Funding

Mechanisms regulating the plasticity of postmitotic cells in mammalian retinaR01EY032585 · NEI · STANFORD UNIVERSITY · PI WANG, SUI · 2021 to 2025
$2.0M
Novel strategies for developing AAV tools targeting specific cell types in mammalian retinaR21EY035465 · NEI · STANFORD UNIVERSITY · PI WANG, SUI · 2024 to 2025
$455k
NEI NIH HHS R01 EY032585NEI NIH HHS R21 EY035465
6 · The paper itself

Abstract

Precise cell type targeting is critical for both clinical and experimental applications of adeno-associated viral (AAV) vectors, yet engineering vectors with cell type-specific activity remains a challenge. Here, we compared three strategies leveraging single-cell chromatin accessibility data to design cell type-specific AAV promoters, including a deep learning-based method to generate

Identifiers

PMID41648586
PMCPMC12871160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.