Evidence map›Paper›PMID 40143341›Full record

ReviewViruses2025

The Application of DNA Viruses to Biotechnology.

Adam J Schieferecke, Nadia Kuxhausen Ralph, David V Schaffer

Abstract readReview
In one paragraph

Review in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Adam J SchiefereckeDepartment of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0003-4526-4694
Nadia Kuxhausen RalphDepartment of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.
David V SchafferDepartment of Molecular & Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-9625-0121

Funding

Directed Evolution of Novel AAVs and Regulatory Elements for Selective Microglial Gene ExpressionR01NS126397 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Tomasz Nowakowski, DAVID V SCHAFFER · 2023 to 2026
$3.2M
Machine Learning Augmented Discovery of AAV Capsids for Cell Type Specific Access into Human Neurons and GliaUF1MH130700 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI NOWAKOWSKI, TOMASZ, SCHAFFER, DAVID V · 2022 to 2022
$2.9M
NIH HHS 1R01NS126397NIH HHS 1U01MH130700NIMH NIH HHS UF1 MH130700NINDS NIH HHS R01 NS126397
6 · The paper itself

Abstract

The delivery of biomolecules to target cells has been a longstanding challenge in biotechnology. DNA viruses naturally evolved the ability to deliver genetic material to cells and modulate cellular processes. As such, they inherently possess requisite characteristics that have led to their extensive study, engineering, and development as biotechnological tools. Here, we overview the application of DNA viruses to biotechnology, with specific implications in basic research, health, biomanufacturing, and agriculture. For each application, we review how an increasing understanding of virology and technological methods to genetically manipulate DNA viruses has enabled advances in these fields. Additionally, we highlight the remaining challenges to unlocking the full biotechnological potential of DNA viral technologies. Finally, we discuss the importance of balancing continued technological progress with ethical and biosafety considerations.

Indexed as

BiotechnologyDNA VirusesAnimalsGenetic EngineeringHumansadeno-associated virusadenovirusagriculturegene therapyherpesvirusmicrobiome editingoncolytic virotherapyphage therapyvaccinevaccinia virus

Identifiers

PMID40143341
PMCPMC11946468

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.