Evidence map›Paper›PMID 34590272›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

RNA Interference (RNAi) Screening in Cultured Drosophila Cells.

Juan-Carlos A Padilla, Ashley Chin, Dhara Patel, Xiaofeng Wang, Philippe Jolivet, Eric Lécuyer

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Juan-Carlos A PadillaInstitut de Recherches Cliniques de Montréal (IRCM), Montréal, QC, Canada.
Ashley ChinInstitut de Recherches Cliniques de Montréal (IRCM), Montréal, QC, Canada.
Dhara PatelInstitut de Recherches Cliniques de Montréal (IRCM), Montréal, QC, Canada.
Xiaofeng WangInstitut de Recherches Cliniques de Montréal (IRCM), Montréal, QC, Canada.
Philippe JolivetInstitut de Recherches Cliniques de Montréal (IRCM), Montréal, QC, Canada.
Eric LécuyerInstitut de Recherches Cliniques de Montréal (IRCM), Montréal, QC, Canada. eric.lecuyer@ircm.qc.ca.

Funding

CIHR
6 · The paper itself

Abstract

Genetic perturbation assays have been crucial to the discovery of molecular pathways that drive diverse biological processes. RNA interference (RNAi)-mediated depletion of gene products represents a powerful means of elucidating gene function, as it allows one to systematically probe the phenotypic effects resulting from the functional loss of specific targets. The relative ease of use of RNAi technologies in cultured cells has allowed the design and implementation of genome-wide investigations to systematically reveal gene function. In this chapter, we describe methods for high-throughput RNAi-mediated loss-of-function studies in cultured cells of Drosophila melanogaster. First, we describe the in vitro synthesis of double stranded RNAs (dsRNAs) from a genome-wide Drosophila RNAi library. Next, we outline the procedures used to carry out high-throughput RNAi screens using a cell bathing approach and high-content screening microscopy, illustrating how these experiments can be utilized to study specific cellular contexts, such as cellular stress. Finally, we illustrate some approaches commonly employed to validate the depletion of identified gene candidates.

Indexed as

Drosophila melanogasterAnimalsCells, CulturedRNA, Double-StrandedRNA InterferenceRNA, Double-StrandedCellsDouble stranded RNADrosophiladsRNAHigh-content screeningHigh-throughput microscopyImmunofluorescenceRNAiRNA interferenceS2R+Stress granulesTissue culture

Identifiers

PMID34590272

What Socratic 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 Socratic graph.