Evidence map›Paper›PMID 17406458›Full record

ArticleNature protocols2006

Genomic systematic evolution of ligands by exponential enrichment (Genomic SELEX) for the identification of protein-binding RNAs independent of their expression levels.

Christina Lorenz, Frederike von Pelchrzim, Renée Schroeder

Abstract read
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In one paragraph

Article in Nature protocols, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

31 citing papers in PubMed, 67 citations in OpenAlex.

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  6. Recent Advances in Aptasensors For Rapid and Sensitive Detection ofFrontiers in bioengineering and biotechnology · 2022
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  19. Revealing protein-lncRNA interaction.Briefings in bioinformatics · 2016
    Review
  20. 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

3 authors at 2 institutions in 1 country.

Christina LorenzMax F. Perutz Laboratories, University of Vienna, Dr. Bohrgasse 9/5, A-1030 Vienna, Austria.
Frederike von Pelchrzim
Renée Schroeder
Max Perutz Labs · ATUniversity of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic systematic evolution of ligands by exponential enrichment (Genomic SELEX) is an experimental procedure for the expression condition-independent identification of protein-binding RNAs. RNA libraries derived from genomic DNA are generated via random priming, PCR amplification and in vitro transcription. Libraries consist of genomic sequences of selected size, and fragments are flanked by constant sequences required for amplification and transcription. This RNA pool is then subjected to several rounds of selection and amplification to enrich for RNAs meeting the selection criteria. Various selection criteria are possible. Here we describe selection by affinity to a protein of interest. High-affinity ligands can then be cloned and sequenced to allow their identification. With this method, protein-binding RNAs can be discovered, nucleic acid-protein interactions can be identified, and whole protein-nucleic acid networks can be defined. This method is also suitable for discovering novel genes, including non-protein-coding RNAs, and it complements in silico approaches. It is better suited to detect protein-binding RNAs that are differentially expressed (and therefore absent from many tissues) and low-abundance RNAs than experimental procedures that start from the isolation of expressed RNAs. The protocol takes approximately 3 months to complete.

Indexed as

Genome, BacterialBacterial ProteinsDirected Molecular EvolutionEscherichia coliLigandsProtein BindingRNA, BacterialBacterial ProteinsLigandsRNA, Bacterial

Identifiers

PMID17406458
OpenAlexW1996238087

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.