Evidence map›Paper›PMID 23326633›Full record

ArticleScientific reports2013

An analysis and validation pipeline for large-scale RNAi-based screens.

Michael Plank, Guang Hu, A Sofia Silva, Shona H Wood, Emily E Hesketh, Georges Janssens, André Macedo, João Pedro de Magalhães, George M Church

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 4 countries.

Michael PlankIntegrative Genomics of Ageing Group, Institute of Integrative Biology, University of Liverpool, Liverpool, UK.
Guang Hu
A Sofia Silva
Shona H Wood
Emily E Hesketh
Georges Janssens
André Macedo
João Pedro de Magalhães
George M Church
Genomics (United Kingdom) · GBUniversity of Liverpool · GBHarvard University · USNational Institutes of Health · US

Funding

Biotechnology and Biological Sciences Research Council BB/H008497/1
6 · The paper itself

Abstract

Large-scale RNAi-based screens are a major technology, but require adequate prioritization and validation of candidate genes from the primary screen. In this work, we performed a large-scale pooled shRNA screen in mouse embryonic stem cells (ESCs) to discover genes associated with oxidative stress resistance and found several candidates. We then developed a bioinformatics pipeline to prioritize these candidates incorporating effect sizes, functional enrichment analysis, interaction networks and gene expression information. To validate candidates, we mixed normal cells with cells expressing the shRNA coupled to a fluorescent protein, which allows control cells to be used as an internal standard, and thus we could detect shRNAs with subtle effects. Although we did not identify genes associated with oxidative stress resistance, as a proof-of-concept of our pipeline we demonstrate a detrimental role of Edd1 silencing in ESC growth. Our methods may be useful for candidate gene prioritization of large-scale RNAi-based screens.

Indexed as

RNA InterferenceAnimalsCarbocyaninesEmbryonic Stem CellsMiceOligonucleotide Array Sequence AnalysisOxidative StressRNA, Small InterferingCarbocyaninescyanine dye 3RNA, Small Interfering

Identifiers

PMID23326633
PMCPMC3546318
OpenAlexW2076518847

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.