Evidence map›Paper›PMID 17945012›Full record

ArticleBMC biotechnology2007

In situ detection of non-polyadenylated RNA molecules using Turtle Probes and target primed rolling circle PRINS.

Magnus Stougaard, Jakob S Lohmann, Magdalena Zajac, Stephen Hamilton-Dutoit, Jørn Koch

Abstract read
In one paragraph

Article in BMC biotechnology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

5 authors.

Magnus StougaardInstitute of Pathology, Aarhus University Hospital, Nørrebrogade 44 building 18A, DK-8000 Aarhus C, Denmark. mstou@as.aaa.dk
Jakob S Lohmann
Magdalena Zajac
Stephen Hamilton-Dutoit
Jørn Koch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn situ detection is traditionally performed with long labeled probes often followed by a signal amplification step to enhance the labeling. Whilst short probes have several advantages over long probes (e.g. higher resolution and specificity) they carry fewer labels per molecule and therefore require higher amplification for detection. Furthermore, short probes relying only on hybridization for specificity can result in non-specific signals appearing anywhere the probe attaches to the target specimen. One way to obtain high amplification whilst minimizing the risk of false positivity is to use small circular probes (e.g. Padlock Probes) in combination with target primed rolling circle DNA synthesis. This has previously been used for DNA detection in situ, but not until now for RNA targets.

resultsWe present here a proof of principle investigation of a novel rolling circle technology for the detection of non-polyadenylated RNA molecules in situ, including a new probe format (the Turtle Probe) and optimized procedures for its use on formalin fixed paraffin embedded tissue sections and in solid support format applications.

conclusionThe method presented combines the high discriminatory power of short oligonucleotide probes with the impressive amplification power and selectivity of the rolling circle reaction, providing excellent signal to noise ratios in combination with exact target localization due to the target primed reaction. Furthermore, the procedure is easily multiplexed, allowing visualization of several different RNAs.

Indexed as

Molecular Probe TechniquesFormaldehydeHeLa CellsHumansOligonucleotide ProbesParaffin EmbeddingPrimed In Situ LabelingReproducibility of ResultsRNARNA, Ribosomal, 28SRNA, Ribosomal, 5STissue FixationFormaldehydeOligonucleotide ProbesRNARNA, Ribosomal, 28SRNA, Ribosomal, 5S

Identifiers

PMID17945012
PMCPMC2203993

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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.