Evidence map›Paper›PMID 23766292›Full record

ArticleNucleic acids research2013

Whole-body scanning PCR; a highly sensitive method to study the biodistribution of mRNAs, noncoding RNAs and therapeutic oligonucleotides.

Julien A Boos, David W Kirk, Mari-Luz Piccolotto, Werner Zuercher, Sandro Gfeller, Philippe Neuner, Andre Dattler, William L Wishart, Fabian Von Arx, Michael Beverly and 9 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

19 authors.

Julien A BoosNovartis Institutes for Biomedical Research (NIBR), Novartis Pharma AG, Basel, Basel-Stadt CH-4056, Switzerland and NIBR, Novartis Pharma AG, Cambridge, Massachusetts, MA 02139, USA.
David W Kirk
Mari-Luz Piccolotto
Werner Zuercher
Sandro Gfeller
Philippe Neuner
Andre Dattler
William L Wishart
Fabian Von Arx
Michael Beverly
Jesper Christensen
Karine Litherland
Esther van de Kerkhof
Pieter J Swart
Thomas Faller
Armin Beyerbach
David Morrissey
Juerg Hunziker
Iwan Beuvink

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient tissue-specific delivery is a crucial factor in the successful development of therapeutic oligonucleotides. Screening for novel delivery methods with unique tissue-homing properties requires a rapid, sensitive, flexible and unbiased technique able to visualize the in vivo biodistribution of these oligonucleotides. Here, we present whole body scanning PCR, a platform that relies on the local extraction of tissues from a mouse whole body section followed by the conversion of target-specific qPCR signals into an image. This platform was designed to be compatible with a novel RT-qPCR assay for the detection of siRNAs and with an assay suitable for the detection of heavily chemically modified oligonucleotides, which we termed Chemical-Ligation qPCR (CL-qPCR). In addition to this, the platform can also be used to investigate the global expression of endogenous mRNAs and non-coding RNAs. Incorporation of other detection systems, such as aptamers, could even further expand the use of this technology.

Indexed as

AnimalsHCT116 CellsHumansImage Processing, Computer-AssistedMaleMiceOligonucleotidesOrgan SpecificityPolymerase Chain ReactionReproducibility of ResultsRNA, MessengerRNA, Small InterferingRNA, UntranslatedSensitivity and SpecificityTissue DistributionWhole Body ImagingOligonucleotidesRNA, MessengerRNA, Small InterferingRNA, Untranslated

Identifiers

PMID23766292
PMCPMC3753639

What OpenQuestion holds

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LicenceCC BY
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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.