Evidence map›Paper›PMID 30010636›Full record

ArticleJournal of visualized experiments : JoVE2018

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens.

Venkatramanan Krishnamani, Tabitha A Peterson, Robert C Piper, Mark A Stamnes

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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
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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.

Venkatramanan KrishnamaniMolecular Physiology and Biophysics, University of Iowa.
Tabitha A PetersonMolecular Physiology and Biophysics, University of Iowa.
Robert C PiperMolecular Physiology and Biophysics, University of Iowa; robert-piper@uiowa.edu.
Mark A StamnesMolecular Physiology and Biophysics, University of Iowa; Mark-Stamnes@uiowa.edu.

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Douglas Robert Spitz · 2000 to 2026
$70.0M
Ubiquitin-Dependent Sorting in Endosomes and the TGNR01GM058202 · NIGMS · UNIVERSITY OF IOWA · PI PIPER, ROBERT C · 1998 to 2025
$8.9M
DEEPN strategy for large-scale differential protein interaction studiesR21EB021870 · NIBIB · UNIVERSITY OF IOWA · PI PIPER, ROBERT C, STAMNES, MARK A. · 2016 to 2017
$418k
NIBIB NIH HHS R21 EB021870NIGMS NIH HHS R01 GM058202
6 · The paper itself

Abstract

We have adapted the yeast 2-hybrid assay to simultaneously uncover dozens of transient and static protein interactions within a single screen utilizing high-throughput short-read DNA sequencing. The resulting sequence datasets can not only track what genes in a population that are enriched during selection for positive yeast 2-hybrid interactions, but also give detailed information about the relevant subdomains of proteins sufficient for interaction. Here, we describe a full suite of stand-alone software programs that allow non-experts to perform all the bioinformatics and statistical steps to process and analyze DNA sequence fastq files from a batch yeast 2-hybrid assay. The processing steps covered by these software include: 1) mapping and counting sequence reads corresponding to each candidate protein encoded within a yeast 2-hybrid prey library; 2) a statistical analysis program that evaluates the enrichment profiles; and 3) tools to examine the translational frame and position within the coding region of each enriched plasmid that encodes the interacting proteins of interest.

Indexed as

AnimalsHigh-Throughput Nucleotide SequencingInformaticsProtein Interaction MappingSaccharomyces cerevisiaeTwo-Hybrid System Techniques

Identifiers

PMID30010636
PMCPMC6102007

What OpenQuestion holds

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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.