Evidence map›Paper›PMID 22949871›Full record

ArticleInternational journal of molecular sciences2012

An iRGD based strategy to study electrochemically the species inside a cell.

Limin Ning, Xiaoxi Li, Xiaorong Ding, Yongmei Yin, Genxi Li

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Limin NingDepartment of Biochemistry and State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210093, China.
Xiaoxi LiDepartment of Biochemistry and State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210093, China.
Xiaorong DingLaboratory of Biosensing Technology, School of Life Sciences, Shanghai University, Shanghai 200444, China.
Yongmei YinDepartment of Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
Genxi LiDepartment of Biochemistry and State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing 210093, China.
Nanjing University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper reports a method for electrical communication between the inner part of cells and an electrode with the help of iRGD peptide. Due to the enhancement of the cell penetration caused by iRGD peptide, DNA molecules, previously modified on a gold electrode surface, can be easily transfected into the cells. At the same time, doxorubicin, an anticancer drug, can also be transfected into cells with high penetration. Consequently, doxorubicin binds to DNA chains through electrostatic interaction, and the redox reaction is transferred out of the cell across the cell membrane. As a result, this work may provide a novel way to get information from inside of cells.

Indexed as

Drug Delivery SystemsAntibiotics, AntineoplasticCell-Penetrating PeptidesCell ProliferationDNADoxorubicinDrug CarriersDrug DesignElectrochemistryHumansMaleModels, MolecularMolecular StructureOligopeptidesProstatic NeoplasmsStructure-Activity RelationshipAntibiotics, AntineoplasticCell-Penetrating PeptidesDNADoxorubicinDrug CarriersN-end cysteine peptide tumor-homing peptideOligopeptidescell adhesioncell penetrationdoxorubicinelectrochemistryiRGD

Identifiers

PMID22949871
PMCPMC3431869
OpenAlexW2000647492

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.