Evidence map›Paper›PMID 25883975›Full record

ReviewBioMed research international2015

Delivery of nucleic acids and nanomaterials by cell-penetrating peptides: opportunities and challenges.

Yue-Wern Huang, Han-Jung Lee, Larry M Tolliver, Robert S Aronstam

Abstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Nanoplatforms for the Delivery of Nucleic Acids into Plant Cells.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Applications of CPPs in Genome Editing of Plants.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  13. Article
  14. Review
  15. Review
  16. Peptide carriers to the rescue: overcoming the barriers to siRNA delivery for cancer treatment.Translational research : the journal of laboratory and clinical medicine · 2019
    Review
  17. Article
  18. Article
  19. Review
  20. 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

4 authors.

Yue-Wern HuangDepartment of Biological Sciences, Missouri University of Science and Technology, Rolla, MO 65409-1120, USA.
Han-Jung LeeDepartment of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien 97401, Taiwan.
Larry M TolliverDepartment of Biological Sciences, Missouri University of Science and Technology, Rolla, MO 65409-1120, USA.
Robert S AronstamDepartment of Biological Sciences, Missouri University of Science and Technology, Rolla, MO 65409-1120, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many viral and nonviral systems have been developed to aid delivery of biologically active molecules into cells. Among these, cell-penetrating peptides (CPPs) have received increasing attention in the past two decades for biomedical applications. In this review, we focus on opportunities and challenges associated with CPP delivery of nucleic acids and nanomaterials. We first describe the nature of versatile CPPs and their interactions with various types of cargoes. We then discuss in vivo and in vitro delivery of nucleic acids and nanomaterials by CPPs. Studies on the mechanisms of cellular entry and limitations in the methods used are detailed.

Indexed as

NanostructuresAnimalsCell-Penetrating PeptidesDrug Delivery SystemsHumansNucleic AcidsCell-Penetrating PeptidesNucleic Acids

Identifiers

PMID25883975
PMCPMC4391616

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.