Direct facile screening of recombinant DNA vector constructs.

Paul T Winnard, Rushi Challa, Zaver M Bhujwalla, Venu Raman

Abstract read

In one paragraph

Article in Analytical biochemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Paul T WinnardDivision of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Rushi ChallaDivision of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Zaver M BhujwallaDivision of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.

Venu RamanDivision of Cancer Imaging Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA. Electronic address: vraman2@jhmi.edu.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026

$208.6M

NCI NIH HHS P30 CA006973

6 · The paper itself

Abstract

Direct efficient facile screening of bacterial transformants with the goal of selecting, retrieving, and using recombinant DNA is exemplified by simple visual-based colorimetric inspections or fluorescent protein-based assays. We describe pRedScript, which introduces the constitutive expression of a very bright red fluorescent protein into transformants. On agar plates, red colonies are simply visualized in ambient white light in stark contrast to recombinant transformants that are white. In addition, the bright red fluorescence of the reporter protein can also be harnessed as a sensitive signal for screening bacterial promoters during the development of optimized fermentation conditions.

Indexed as

Transformation, GeneticBase SequenceDNA, RecombinantGenetic EngineeringGenetic VectorsLuminescent ProteinsMolecular Sequence DataRed Fluorescent ProteinDNA, RecombinantLuminescent ProteinsRed Fluorescent ProteinmCherryRecombinant DNARed colorScreening

Identifiers

PMID24393695

DOI10.1016/j.ab.2013.12.034

PMCPMC4324639

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.