Evidence map›Paper›PMID 15517017›Full record

ReviewOncogene2004

Using RNAi to catch Drosophila genes in a web of interactions: insights into cancer research.

Ramanuj Dasgupta, Norbert Perrimon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Genomic screening with RNAi: results and challenges.Annual review of biochemistry · 2010
    Review
  6. Article
  7. Article
  8. Minimizing off-target effects by using diced siRNAs for RNA interference.Journal of RNAi and gene silencing : an international journal of RNA and gene targeting research · 2006
    Article
  9. Article
  10. RNAi in embryonic stem cells.Stem cell reviews · 2006
    Review
  11. Article
  12. Review
  13. 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.

Ramanuj DasguptaDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Norbert Perrimon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The completion of whole-genome sequencing of various model organisms and the recent explosion of new technologies in the field of Functional Genomics and Proteomics is poised to revolutionize the way scientists identify and characterize gene function. One of the most significant advances in recent years has been the application of RNA interference (RNAi) as a means of assaying gene function. In the post-genomic era, advances in the field of cancer biology will rely upon the rapid identification and characterization of genes that regulate cell growth, proliferation, and apoptosis. Significant efforts are being directed towards cancer therapy and devising efficient means of selectively delivering drugs to cancerous cells. In this review, we discuss the promise of integrating genome-wide RNAi screens with proteomic approaches and small-molecule chemical genetic screens, towards improving our ability to understand and treat cancer.

Indexed as

AnimalsDatabases, ProteinDrosophila melanogasterGenomicsNeoplasmsProtein Interaction MappingRNA Interference

Identifiers

PMID15517017

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.