Evidence map›Paper›PMID 16721658›Full record

ArticleThe protein journal2006

Change of the protein p53 electrochemical signal according to its structural form - quick and sensitive distinguishing of native, denatured, and aggregated form of the "guardian of the genome".

David Potesil, Radka Mikelova, Vojtech Adam, Rene Kizek, Richard Prusa

Abstract read
PubMed Publisher
In one paragraph

Article in The protein journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Amperometric Sensor for Detection of Chloride Ions.Sensors (Basel, Switzerland) · 2008
    Article
  3. Article
  4. Article
  5. 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 3 institutions in 1 country.

David PotesilDepartment of Analytical Chemistry, Faculty of Science, Masaryk University, Kotlarska 2, 611 37, Brno, Czech Republic.
Radka Mikelova
Vojtech Adam
Rene Kizek
Richard Prusa
Masaryk University · CZMendel University in Brno · CZCharles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presence of mutated and/or structurally modified (e.g., denatured, aggregated) protein p53 form is associated with several disorders such as Alzheimer's disease, Parkinson's disease, prion diseases, and many types of tumours. The aim of this work was to distinguish native, denatured and aggregated form of full-length p53 by flow injection analysis coupled with electrochemical detector (FIA-ED). Firstly FIA-ED method used for protein native form determination was optimized (detection limit 45.8 amol per 5 mul injection; 3 x S/N). In addition the technique was applied to identify p53 structural forms (denatured and aggregated). It was found out that denatured form provides about three times higher electrochemical response (protein structure unfolding, approach of more electroactive centers - aminoacid residues - towards electrode surface) in comparison with native form. On the other hand, aggregated form offers lower response (steric eclipse of electroactive protein parts) when compared with the signal of native form. The obtained data show that we are not only able to sensitively determine native, denatured, and aggregated structural forms of p53 protein but also to distinguish them.

Indexed as

ElectrochemistryFlow Injection AnalysisHumansProtein ConformationProtein DenaturationSensitivity and SpecificityTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID16721658
OpenAlexW1987936191

What OpenQuestion holds

Textmetadata
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.