Evidence map›Paper›PMID 23659475›Full record

ArticleMolecular pharmaceutics2013

Cell-penetrating peptide enhanced intracellular Raman imaging and photodynamic therapy.

Andrew M Fales, Hsiangkuo Yuan, Tuan Vo-Dinh

Abstract read
In one paragraph

Article in Molecular pharmaceutics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Targeted photodynamic elimination of HER2Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
    Article
  3. Article
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  16. Development of Hybrid Silver-Coated Gold Nanostars for Nonaggregated Surface-Enhanced Raman Scattering.The journal of physical chemistry. C, Nanomaterials and interfaces · 2014
    Article
  17. 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

3 authors.

Andrew M FalesFitzpatrick Institute for Photonics, Duke University, Durham, North Carolina 27708, USA.
Hsiangkuo Yuan
Tuan Vo-Dinh

Funding

Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
NIBIB NIH HHS T32 EB001040
6 · The paper itself

Abstract

We present the application of a theranostic system combining Raman imaging and the photodynamic therapy (PDT) effect. The theranostic nanoplatform was created by loading the photosensitizer, protoporphyrin IX, onto a Raman-labeled gold nanostar. A cell-penetrating peptide, TAT, enhanced intracellular accumulation of the nanoparticles in order to improve their delivery and efficacy. The plasmonic gold nanostar platform was designed to increase the Raman signal via the surface-enhanced resonance Raman scattering (SERRS) effect. Theranostic SERS imaging and photodynamic therapy using this construct were demonstrated on BT-549 breast cancer cells. The TAT peptide allowed for effective Raman imaging and photosensitization with the nanoparticle construct after a 1 h incubation period. In the absence of the TAT peptide, nanoparticle accumulation in the cells was not sufficient to be observed by Raman imaging or to produce any photosensitization effect after this short incubation period. There was no cytotoxic effect observed after nanoparticle incubation, prior to light activation of the photosensitizer. This report shows the first application of combined SERS imaging and photosensitization from a theranostic nanoparticle construct.

Indexed as

Cell Line, TumorCell-Penetrating PeptidesHumansMicroscopy, Electron, TransmissionNanoparticlesNeoplasmsPhotochemotherapyProtoporphyrinsSpectrum Analysis, RamanCell-Penetrating Peptidesprotoporphyrin IXProtoporphyrins

Identifiers

PMID23659475
PMCPMC3997176

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Registered trials

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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.