Evidence map›Paper›PMID 30906908›Full record

ArticleCurrent opinion in biomedical engineering2018

Gene delivery by peptide-assisted transport.

Raj Kumar Thapa, Millicent O Sullivan

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Self-Assembling Short Peptide Carriers for Gene Delivery.International journal of molecular sciences · 2026
    Review
  2. Article
  3. Applications of mRNA Delivery in Cancer Immunotherapy.International journal of nanomedicine · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Peptide-Assisted Nucleic Acid Delivery Systems on the Rise.International journal of molecular sciences · 2021
    Review
  10. A review of the tortuous path of nonviral gene delivery and recent progress.International journal of biological macromolecules · 2021
    Review
  11. Review
  12. Article
  13. Review
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

2 authors at 1 institution in 1 country.

Raj Kumar ThapaDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716.
Millicent O SullivanDepartment of Chemical and Biomolecular Engineering, University of Delaware, Newark, DE 19716.
University of Delaware · US

Funding

Histone targeted non-viral gene delivery to enhance bone repairR01EB017766 · NIBIB · UNIVERSITY OF DELAWARE · PI SULLIVAN, MILLICENT O · 2014 to 2017
$1.4M
Collagen turnover-stimulated gene delivery to enhance chronic wound repairR01AR067247 · NIAMS · UNIVERSITY OF DELAWARE · PI KIICK, KRISTI L, MARGOLIS, DAVID · 2016 to 2019
$1.4M
NIAMS NIH HHS R01 AR067247NIBIB NIH HHS R01 EB017766
6 · The paper itself

Abstract

The diverse amino acid chemistries and secondary structures in peptides provide 'minimalist' mimics of motifs in proteins and offer many ideal properties for targeted delivery approaches. Several non-viral vectors (polymers and lipids) have been studied for their potential applications in gene delivery. However, non-specific uptake, lack of targeting, inability to escape endosomes, and inefficient nuclear delivery limit their application. Peptide-assisted trafficking of non-viral vectors can potentially overcome these biological barriers to improve gene delivery through targeted uptake using key cell-surface receptors (

Indexed as

Cell penetrating peptideDNAgene deliverynon-viral vectorspeptide

Identifiers

PMID30906908
PMCPMC6428085
OpenAlexW2897878646

What OpenQuestion holds

Textmetadata
LicenceTDM
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.