Evidence map›Paper›PMID 17244760›Full record

ReviewGenetics2007

Applications of high-throughput RNA interference screens to problems in cell and developmental biology.

Norbert Perrimon, Bernard Mathey-Prevot

Abstract readReview
In one paragraph

Review in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Toxics · 2023
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. RNAi screening in Drosophila cells and in vivo.Methods (San Diego, Calif.) · 2014
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. In vivo RNAi: today and tomorrow.Cold Spring Harbor perspectives in biology · 2010
    Review
  19. Article
  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

2 authors.

Norbert PerrimonDepartment of Genetics, Howard Hughes Medical Institute, Harvard Medical School, Boston, Massachusetts 02175, USA. perrimon@receptor.med.harvard.edu
Bernard Mathey-Prevot

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
NIGMS NIH HHS R01 GM067761
6 · The paper itself

Abstract

RNA interference (RNAi) in tissue culture cells has emerged as an excellent methodology for identifying gene functions systematically and in an unbiased manner. Here, we describe how RNAi high-throughput screening (HTS) in Drosophila cells are currently being performed and emphasize the strengths and weaknesses of the approach. Further, to demonstrate the versatility of the technology, we provide examples of the various applications of the method to problems in signal transduction and cell and developmental biology. Finally, we discuss emerging technological advances that will extend RNAi-based screening methods.

Indexed as

Developmental BiologyPhenotypeRNA InterferenceAnimalsGenomeHumans

Identifiers

PMID17244760
PMCPMC1775003

What OpenQuestion holds

Textmetadata
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.