Evidence map›Paper›PMID 31158604›Full record

ArticleBiomaterials2019

Channel from bacterial virus T7 DNA packaging motor for the differentiation of peptides composed of a mixture of acidic and basic amino acids.

Zhouxiang Ji, Peixuan Guo

Abstract read
In one paragraph

Article in Biomaterials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Nipple fluid for breast cancer diagnosis using the nanopore of Phi29 DNA-packaging motor.Nanomedicine : nanotechnology, biology, and medicine · 2023
    Article
  6. Review
  7. Review
  8. Article
  9. 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

2 authors.

Zhouxiang JiCenter for RNA Nanobiotechnology and Nanomedicine; Division of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy; College of Medicine, Dorothy M. Davis Heart and Lung Research Institute and James Comprehensive Cancer Center; The Ohio State University, Columbus, OH, USA.
Peixuan GuoCenter for RNA Nanobiotechnology and Nanomedicine; Division of Pharmaceutics and Pharmaceutical Chemistry, College of Pharmacy; College of Medicine, Dorothy M. Davis Heart and Lung Research Institute and James Comprehensive Cancer Center; The Ohio State University, Columbus, OH, USA. Electronic address: guo.1091@osu.edu.

Funding

Phi29 Motor Nanopore for Single Molecule Sensing and dsDNA FingerprintingR01EB012135 · NIBIB · UNIVERSITY OF KENTUCKY · PI GUO, PEIXUAN · 2011 to 2019
$2.6M
NIBIB NIH HHS R01 EB012135
6 · The paper itself

Abstract

Protein mutations can result in dysfunctional cell signaling pathways; therefore it is of significance to develop a robust platform for the detection of protein mutations. Here, we report that the channel of bacterial virus T7 DNA packaging motor is able to discriminate peptides containing a mixture of acidic (negatively charged) and basic (positively charged) amino acids. Peptides were differentiated based on their current signatures created by their unique charge compositions. In combination with protease digestion, peptides with the locational differences of single amino acid were also identified. The results suggest that the T7 motor channel has the potential for peptide differentiation, mutation verification, and analysis of protein sequence.

Indexed as

Amino Acids, AcidicAmino Acids, BasicBacteriophage T7MutationNanoporesPeptidesAmino Acids, AcidicAmino Acids, BasicPeptidesAnalysis of protein sequenceBacteriophage DNA packaging motorBiomotorDetection of protein mutationNanoporeT7 channel

Identifiers

PMID31158604
PMCPMC6724551

What OpenQuestion holds

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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.