Evidence map›Paper›PMID 15489339›Full record

ArticleGenome research2004

Toward improving Caenorhabditis elegans phenome mapping with an ORFeome-based RNAi library.

Jean-François Rual, Julian Ceron, John Koreth, Tong Hao, Anne-Sophie Nicot, Tomoko Hirozane-Kishikawa, Jean Vandenhaute, Stuart H Orkin, David E Hill, Sander van den Heuvel and 1 more

Abstract read
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 569 papers.

0numbers the graph read from it
0cells of the map it votes in
569citing 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

569 citing papers in PubMed.

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509 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

11 authors.

Jean-François RualCenter for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.
Julian Ceron
John Koreth
Tong Hao
Anne-Sophie Nicot
Tomoko Hirozane-Kishikawa
Jean Vandenhaute
Stuart H Orkin
David E Hill
Sander van den Heuvel
Marc Vidal

Funding

Screen for genes targeted by homozygous deletion during cancer progressionP01CA095281 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HABER, DANIEL A. · 2002 to 2006
$8.4M
NEW TECHNOLOGIES FOR PROTEIN INTERACTION MAPPINGR33CA081658 · NCI · DANA-FARBER CANCER INSTITUTE · PI VIDAL, MARC · 2000 to 2002
$1.7M
NCI NIH HHS 7 R33 CA81658-02NCI NIH HHS CA95281NCI NIH HHS P01 CA095281
6 · The paper itself

Abstract

The recently completed Caenorhabditis elegans genome sequence allows application of high-throughput (HT) approaches for phenotypic analyses using RNA interference (RNAi). As large phenotypic data sets become available, "phenoclustering" strategies can be used to begin understanding the complex molecular networks involved in development and other biological processes. The current HT-RNAi resources represent a great asset for phenotypic profiling but are limited by lack of flexibility. For instance, existing resources do not take advantage of the latest improvements in RNAi technology, such as inducible hairpin RNAi. Here we show that a C. elegans ORFeome resource, generated with the Gateway cloning system, can be used as a starting point to generate alternative HT-RNAi resources with enhanced flexibility. The versatility inherent to the Gateway system suggests that additional HT-RNAi libraries can now be readily generated to perform gene knockdowns under various conditions, increasing the possibilities for phenome mapping in C. elegans.

Indexed as

GenomePhenotypeRNA InterferenceAnimalsCaenorhabditis elegansGene Expression RegulationGene LibraryGenotypeOpen Reading FramesRNA, HelminthRNA, Helminth

Identifiers

PMID15489339
PMCPMC528933

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.