Evidence map›Paper›PMID 30320762›Full record

ArticleJournal of visualized experiments : JoVE2018

Quantitative PCR of T7 Bacteriophage from Biopanning.

Xiujuan Peng, Jasmim Leal, Rashmi Mohanty, Melissa Soto, Debadyuti Ghosh

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Xiujuan PengDivision of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, University of Texas at Austin.
Jasmim LealDivision of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, University of Texas at Austin.
Rashmi MohantyDivision of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, University of Texas at Austin.
Melissa SotoDivision of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, University of Texas at Austin.
Debadyuti GhoshDivision of Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, University of Texas at Austin; dghosh@austin.utexas.edu.

Funding

Virus-inspired nanoparticles for mucus penetrating gene deliveryR01HL138251 · NHLBI · UNIVERSITY OF TEXAS AT AUSTIN · PI GHOSH, DEBADYUTI, SMYTH, HUGH DAVID · 2017 to 2020
$1.6M
NHLBI NIH HHS R01 HL138251
6 · The paper itself

Abstract

This protocol describes the use of quantitative PCR (qPCR) to enumerate T7 phages from phage selection experiments (i.e., "biopanning"). qPCR is a fluorescence-based approach to quantify DNA, and here, it is adapted to quantify phage genomes as a proxy for phage particles. In this protocol, a facile phage DNA preparation method is described using high-temperature heating without additional DNA purification. The method only needs small volumes of heat-treated phages and small volumes of the qPCR reaction. qPCR is high-throughput and fast, able to process and obtain data from a 96-well plate of reactions in 2-4 h. Compared to other phage enumeration approaches, qPCR is more time-efficient. Here, qPCR is used to enumerate T7 phages identified from biopanning against in vitro cystic fibrosis-like mucus model. The qPCR method can be extended to quantify T7 phages from other experiments, including other types of biopanning (e.g., immobilized protein binding, in vivo phage screening) and other sources (e.g., water systems or body fluids). In summary, this protocol can be modified to quantify any DNA-encapsulated viruses.

Indexed as

Cell Surface Display TechniquesGene LibraryBacteriophage T7DNA, ViralReal-Time Polymerase Chain ReactionDNA, Viral

Identifiers

PMID30320762
PMCPMC6235333

What OpenQuestion holds

Textmetadata
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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.