Evidence map›Paper›PMID 30742367›Full record

ArticleCurrent protocols in plant biology2019

High-Throughput Yeast One-Hybrid Screens Using a Cell Surface gLUC Reporter.

Zheng Li, Katia Bonaldi, S Earl Kang, Jose L Pruneda-Paz

Abstract read
In one paragraph

Article in Current protocols in plant biology, 2019. 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
0.3field-weighted citation impact, top 42% 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, 12 citations in OpenAlex.

  1. Article
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  4. Review
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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 at 3 institutions in 1 country.

Zheng LiDivision of Biological Sciences, University of California San Diego, La Jolla, California.
Katia BonaldiDivision of Biological Sciences, University of California San Diego, La Jolla, California.
S Earl KangDivision of Biological Sciences, University of California San Diego, La Jolla, California.
Jose L Pruneda-PazDivision of Biological Sciences, University of California San Diego, La Jolla, California.
University of California, San Diego · USCircadian (United States) · USUniversity of Georgia · US

Funding

GENETIC ANALYSIS OF CIRCADIAN RHYTHMS IN ARABIDOPSISR01GM056006 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KAY, STEVE A, PRUNEDA-PAZ, JOSE L · 1996 to 2016
$6.0M
NIGMS NIH HHS R01 GM056006
6 · The paper itself

Abstract

Gene-centered yeast one-hybrid (Y1H) screens using arrayed genome-wide transcription factor (TF) clone collections provide a simple and effective strategy to identify TF-promoter interactions using a DNA fragment as bait. In an effort to improve the assay we recently developed a Y1H system that uses a cell surface Gaussia luciferase reporter (gLUC59). Compared to other available methods, this luciferase-based strategy requires a shorter processing time, enhances the throughput and improves result analysis of gene-centered Y1H screens. Here, we described the procedure to perform high-throughput screens using this novel strategy, which involves a protocol for mating two haploid yeast strains carrying an arrayed TF clone collection and a promoter::gLUC59 reporter, respectively, and a protocol for analyzing gLUC59 activity in the resulting diploid cells. © 2019 by John Wiley & Sons, Inc.

Indexed as

Genes, ReporterTwo-Hybrid System TechniquesDiploidyGene LibraryHigh-Throughput Screening AssaysLuciferasesLuminescent MeasurementsSaccharomyces cerevisiaeTranscription FactorsLuciferasesTranscription Factorscell-surface gLUC reportergene-centered Y1Htranscription factor-promoter interactionyeast one-hybrid screens

Identifiers

PMID30742367
PMCPMC6392058
OpenAlexW2913180672

What OpenQuestion holds

Textmetadata
LicenceTDM
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.