Evidence map›Paper›PMID 22052706›Full record

ArticleMacromolecular bioscience2012

Silk-based nanocomplexes with tumor-homing peptides for tumor-specific gene delivery.

Keiji Numata, Aneta J Mieszawska-Czajkowska, Laura A Kvenvold, David L Kaplan

Abstract read
In one paragraph

Article in Macromolecular bioscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
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  10. Article
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  12. Article
  13. Article
  14. Protein Polymer-Based Nanoparticles: Fabrication and Medical Applications.International journal of molecular sciences · 2018
    Review
  15. Article
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  17. Article
  18. Article
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  20. Nanomedicine in the application of uveal melanoma.International journal of ophthalmology · 2016
    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

4 authors at 1 institution in 2 countries.

Keiji NumataDepartment of Biomedical Engineering, Tufts University, 4 Colby Street, Medford, MA 02155, USA.
Aneta J Mieszawska-Czajkowska
Laura A Kvenvold
David L Kaplan
Tufts University · US

Funding

Translational Bioreactors - Engineering Complex TissuesP41EB002520 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI KAPLAN, DAVID L. · 2004 to 2018
$16.7M
NIBIB NIH HHS P41 EB002520
6 · The paper itself

Abstract

Nanoscale complexes of recombinant silk molecules containing THPs with DNA are designed as less cytotoxic and highly target-specific gene carriers. Genetically engineered silk proteins containing poly(L-lysine) domains to interact with pDNA and the THP to bind to specific tumorigenic cells for target-specific pDNA delivery are prepared, followed by in vitro transfection into MDA-MB-435 melanoma cells, highly metastatic human breast tumor MDA-MB-231 cells, and non-tumorigenic MCF-10A breast epithelial cells. The silk/poly(L-lysine) block copolymer containing Lyp1 (ML-Lyp1) shows significant differences from silk/poly(L-lysine) block copolymer containing F3 (ML-F3) in cytotoxicity to MCF10A cells. ML-F3 is the most promising candidate for target delivery into tumorigenic cells.

Indexed as

Gene Transfer TechniquesAmino Acid SequenceBreast NeoplasmsCell SurvivalDrug CarriersEpithelial CellsFibroinsGenetic TherapyHumansMelanomaMicroscopy, Electron, ScanningModels, MolecularMolecular Sequence DataNanoconjugatesPeptidesPlasmidsDrug CarriersFibroinsNanoconjugatesPeptidesPolylysineRecombinant Proteins

Identifiers

PMID22052706
PMCPMC3724333
OpenAlexW2045928895

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.