Evidence map›Paper›PMID 24121477›Full record

ArticleJournal of visualized experiments : JoVE2013

Large-scale gene knockdown in C. elegans using dsRNA feeding libraries to generate robust loss-of-function phenotypes.

Kathryn N Maher, Mary Catanese, Daniel L Chase

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Autophagy: A Double-Edged Sword in the Aging ofInternational journal of molecular sciences · 2026
    Review
  2. Article
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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.

Kathryn N MaherMolecular and Cellular Biology Program, University of Massachusetts, Amherst.
Mary Catanese
Daniel L Chase

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Aric L Daul, Ann E. Rougvie · 2012 to 2026
$7.5M
Stable and heritable cell-specifc knock down of gene expression in C. elegansR03MH097163 · NIMH · UNIVERSITY OF MASSACHUSETTS AMHERST · PI CHASE, DANIEL L · 2012 to 2013
$146k
NIH HHS P40 OD010440NIH HHS P40-OD010440NIMH NIH HHS MH097163NIMH NIH HHS R03 MH097163
6 · The paper itself

Abstract

RNA interference by feeding worms bacteria expressing dsRNAs has been a useful tool to assess gene function in C. elegans. While this strategy works well when a small number of genes are targeted for knockdown, large scale feeding screens show variable knockdown efficiencies, which limits their utility. We have deconstructed previously published RNAi knockdown protocols and found that the primary source of the reduced knockdown can be attributed to the loss of dsRNA-encoding plasmids from the bacteria fed to the animals. Based on these observations, we have developed a dsRNA feeding protocol that greatly reduces or eliminates plasmid loss to achieve efficient, high throughput knockdown. We demonstrate that this protocol will produce robust, reproducible knock down of C. elegans genes in multiple tissue types, including neurons, and will permit efficient knockdown in large scale screens. This protocol uses a commercially available dsRNA feeding library and describes all steps needed to duplicate the library and perform dsRNA screens. The protocol does not require the use of any sophisticated equipment, and can therefore be performed by any C. elegans lab.

Indexed as

RNA InterferenceAnimalsCaenorhabditis elegansGene Knockdown TechniquesHigh-Throughput Screening AssaysPlasmidsRNA, Double-StrandedRNA, Double-Stranded

Identifiers

PMID24121477
PMCPMC3935773

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.