Evidence map›Paper›PMID 32796680›Full record

ReviewPharmaceutics2020

Synthetic Virus-Derived Nanosystems (SVNs) for Delivery and Precision Docking of Large Multifunctional DNA Circuitry in Mammalian Cells.

Francesco Aulicino, Julien Capin, Imre Berger

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. VLP-factory™ and ADDomerCurrent protocols · 2021
    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.

Francesco AulicinoBristol Synthetic Biology Centre BrisSynBio, School of Biochemistry, 1 Tankard's Close, University of Bristol, Bristol BS8 1TD, UK.ORCID 0000-0002-3097-3765
Julien CapinBristol Synthetic Biology Centre BrisSynBio, School of Biochemistry, 1 Tankard's Close, University of Bristol, Bristol BS8 1TD, UK.
Imre BergerBristol Synthetic Biology Centre BrisSynBio, School of Biochemistry, 1 Tankard's Close, University of Bristol, Bristol BS8 1TD, UK.ORCID 0000-0001-7518-9045

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1BrisSynBio a BBSRC/EPSRC Research Centre for synthetic biology at the University of Bristol BB/L01386X/1European Research Council DNA-DOCK 834631
6 · The paper itself

Abstract

DNA delivery is at the forefront of current research efforts in gene therapy and synthetic biology. Viral vectors have traditionally dominated the field; however, nonviral delivery systems are increasingly gaining traction. Baculoviruses are arthropod-specific viruses that can be easily engineered and repurposed to accommodate and deliver large sequences of exogenous DNA into mammalian cells, tissues, or ultimately organisms. These synthetic virus-derived nanosystems (SVNs) are safe, readily customized, and can be manufactured at scale. By implementing clustered regularly interspaced palindromic repeats (CRISPR) associated protein (CRISPR/Cas) modalities into this system, we developed SVNs capable of inserting complex DNAs into genomes, at base pair precision. We anticipate a major role for SVNs as an attractive alternative to viral vectors in accelerating genome engineering and gene therapy applications in the future.

Indexed as

baculovirusCRISPRgene editinggenome engineeringprecision DNA docking

Identifiers

PMID32796680
PMCPMC7466058

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.