Evidence map›Paper›PMID 21251254›Full record

ArticleBMC genomics2011

False negative rates in Drosophila cell-based RNAi screens: a case study.

Matthew Booker, Anastasia A Samsonova, Young Kwon, Ian Flockhart, Stephanie E Mohr, Norbert Perrimon

Abstract read
In one paragraph

Article in BMC genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. The Current Situation and Development Prospect of Whole-Genome Screening.International journal of molecular sciences · 2024
    Review
  4. Dual Leucine Zipper Kinase Regulates Dscam Expression through a Noncanonical Function of the Cytoplasmic Poly(A)-Binding Protein.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. New tools for old drugs: Functional genetic screens to optimize current chemotherapy.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2018
    Review
  11. Article
  12. Article
  13. Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. RNAi screening in Drosophila cells and in vivo.Methods (San Diego, Calif.) · 2014
    Review
  20. 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

6 authors.

Matthew BookerDepartment of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
Anastasia A Samsonova
Young Kwon
Ian Flockhart
Stephanie E Mohr
Norbert Perrimon

Funding

Comprehensive characterization of the Drosophila transcriptomeU01HG004271 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CELNIKER, SUSAN E · 2007 to 2011
$18.4M
New collections of dsRNAs and overexpression miRNA constructs to supplement RNAiR01GM067761 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI PERRIMON, NORBERT · 2003 to 2019
$15.5M
Network analysis of Signal TransductionR01DK088718 · NIDDK · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2010 to 2014
$2.5M
Howard Hughes Medical InstituteNHGRI NIH HHS U01 HG004271NIDDK NIH HHS R01 DK088718NIGMS NIH HHS R01 GM067761
6 · The paper itself

Abstract

backgroundHigh-throughput screening using RNAi is a powerful gene discovery method but is often complicated by false positive and false negative results. Whereas false positive results associated with RNAi reagents has been a matter of extensive study, the issue of false negatives has received less attention.

resultsWe performed a meta-analysis of several genome-wide, cell-based Drosophila RNAi screens, together with a more focused RNAi screen, and conclude that the rate of false negative results is at least 8%. Further, we demonstrate how knowledge of the cell transcriptome can be used to resolve ambiguous results and how the number of false negative results can be reduced by using multiple, independently-tested RNAi reagents per gene.

conclusionsRNAi reagents that target the same gene do not always yield consistent results due to false positives and weak or ineffective reagents. False positive results can be partially minimized by filtering with transcriptome data. RNAi libraries with multiple reagents per gene also reduce false positive and false negative outcomes when inconsistent results are disambiguated carefully.

Indexed as

AnimalsCluster AnalysisDrosophilaGene Expression ProfilingProteasome Endopeptidase ComplexRibosomesRNA, Double-StrandedRNA InterferenceProteasome Endopeptidase ComplexRNA, Double-Stranded

Identifiers

PMID21251254
PMCPMC3036618

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.