Evidence map›Paper›PMID 17187237›Full record

ArticleJournal of muscle research and cell motility2007

Directing RNA interference specifically to differentiated muscle cells.

Carter A Herndon, Larry Fromm

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of muscle research and cell motility, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Carter A HerndonIndiana University School of Medicine-Muncie, 2000 University Avenue, Muncie, IN 47306, USA.
Larry Fromm
Indiana University · USIndiana University School of Medicine

Funding

Neuregulin signaling at the neuromuscular synapseR15NS044924 · NINDS · BALL STATE UNIVERSITY · PI FROMM, LARRY B · 2003 to 2004
$184k
NINDS NIH HHS NS44924
6 · The paper itself

Abstract

A common approach for mediating RNA interference (RNAi) is to introduce DNA that encodes short hairpin RNA (shRNA), which is often contained in a plasmid that can express a shRNA in a wide variety of cell types. Muscle cells and certain other cell types grown in culture can exist in both a dividing state and in a post-mitotic, differentiated state, and it is sometimes useful to induce RNAi selectively in terminally differentiated cells to study the function of a gene, particularly when the gene is also required for propagation of dividing cells. We describe two methods for studying gene function by RNAi specifically in terminally differentiated skeletal muscle cells in culture. We developed a shRNA expression vector, based on myosin light chain 1f gene regulatory sequences, which is designed to induce shRNA expression specifically after differentiation has been initiated. We show that this vector can mediate RNAi and is only active in differentiated muscle cells. Also, we developed an adenoviral vector that is designed to be able to deliver shRNAs directly to post-mitotic muscle cells. We show that adenoviruses produced using this vector mediate RNAi in differentiated muscle cells. These methods add to the repertoire of RNAi tools that can be used for identifying genes involved in any event of interest that occurs in differentiated muscle cells.

Indexed as

RNA InterferenceAnimalsBase SequenceCell DifferentiationCell LineGene SilencingGene TargetingGenetic TechniquesGenetic VectorsMiceMolecular Sequence DataMuscle CellsRNA, Small InterferingTransfectionRNA, Small Interfering

Identifiers

PMID17187237
OpenAlexW2171919652

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.