Evidence map›Paper›PMID 18628291›Full record

ArticleNucleic acids research2008

Hit selection with false discovery rate control in genome-scale RNAi screens.

Xiaohua Douglas Zhang, Pei Fen Kuan, Marc Ferrer, Xiaohua Shu, Yingxue C Liu, Adam T Gates, Priya Kunapuli, Erica M Stec, Min Xu, Shane D Marine and 4 more

Abstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Cell division cycle 7 kinase is a negative regulator of cell-mediated collagen degradation.American journal of physiology. Lung cellular and molecular physiology · 2018
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Genomic screening with RNAi: results and challenges.Annual review of biochemistry · 2010
    Review
  15. Review
  16. 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

14 authors.

Xiaohua Douglas ZhangBiometrics Research, Merck Research Laboratories, West Point, PA 19486, USA. Xiaohua_zhang@merck.com
Pei Fen Kuan
Marc Ferrer
Xiaohua Shu
Yingxue C Liu
Adam T Gates
Priya Kunapuli
Erica M Stec
Min Xu
Shane D Marine
Daniel J Holder
Berta Strulovici
Joseph F Heyse
Amy S Espeseth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) is a modality in which small double-stranded RNA molecules (siRNAs) designed to lead to the degradation of specific mRNAs are introduced into cells or organisms. siRNA libraries have been developed in which siRNAs targeting virtually every gene in the human genome are designed, synthesized and are presented for introduction into cells by transfection in a microtiter plate array. These siRNAs can then be transfected into cells using high-throughput screening (HTS) methodologies. The goal of RNAi HTS is to identify a set of siRNAs that inhibit or activate defined cellular phenotypes. The commonly used analysis methods including median +/- kMAD have issues about error rates in multiple hypothesis testing and plate-wise versus experiment-wise analysis. We propose a methodology based on a Bayesian framework to address these issues. Our approach allows for sharing of information across plates in a plate-wise analysis, which obviates the need for choosing either a plate-wise or experimental-wise analysis. The proposed approach incorporates information from reliable controls to achieve a higher power and a balance between the contribution from the samples and control wells. Our approach provides false discovery rate (FDR) control to address multiple testing issues and it is robust to outliers.

Indexed as

RNA InterferenceBayes TheoremComputational BiologyComputer SimulationGenome, ViralGenomicsHeLa CellsHepacivirusHIVHumansModels, GeneticRNA, Small InterferingROC CurveRNA, Small Interfering

Identifiers

PMID18628291
PMCPMC2504311

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.