Evidence map›Paper›PMID 20367032›Full record

ReviewAnnual review of biochemistry2010

Genomic screening with RNAi: results and challenges.

Stephanie Mohr, Chris Bakal, Norbert Perrimon

Abstract readReview
In one paragraph

Review in Annual review of biochemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers.

0numbers the graph read from it
0cells of the map it votes in
157citing 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

157 citing papers in PubMed.

  1. Article
  2. Article
  3. Artificial Intelligence Methods in Infection Biology Research.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Involvement ofFrontiers in immunology · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. A new era in functional genomics screens.Nature reviews. Genetics · 2022
    Review
  20. Drosophila Genetic Resources for Elucidating piRNA Pathway.Methods in molecular biology (Clifton, N.J.) · 2022
    Article

97 more citing papers are in PubMed but not listed here.

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

3 authors.

Stephanie MohrDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
Chris Bakal
Norbert Perrimon

Funding

New collections of dsRNAs and overexpression miRNA constructs to supplement RNAiR01GM067761 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI PERRIMON, NORBERT · 2003 to 2019
$15.5M
Drosophila Transgenic RNAi Resource ProjectR01GM084947 · NIGMS · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2008 to 2019
$9.8M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM067761NIGMS NIH HHS R01 GM084947
6 · The paper itself

Abstract

RNA interference (RNAi) is an effective tool for genome-scale, high-throughput analysis of gene function. In the past five years, a number of genome-scale RNAi high-throughput screens (HTSs) have been done in both Drosophila and mammalian cultured cells to study diverse biological processes, including signal transduction, cancer biology, and host cell responses to infection. Results from these screens have led to the identification of new components of these processes and, importantly, have also provided insights into the complexity of biological systems, forcing new and innovative approaches to understanding functional networks in cells. Here, we review the main findings that have emerged from RNAi HTS and discuss technical issues that remain to be improved, in particular the verification of RNAi results and validation of their biological relevance. Furthermore, we discuss the importance of multiplexed and integrated experimental data analysis pipelines to RNAi HTS.

Indexed as

GenesGenetic TechniquesRNA InterferenceAnimalsGenomeHumans

Identifiers

PMID20367032
PMCPMC3564595

What OpenQuestion holds

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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.