Evidence map›Paper›PMID 32300045›Full record

ArticleRNA (New York, N.Y.)2020

Phased nucleotide inserts for sequencing low-diversity RNA samples from in vitro selection experiments.

Devin P Bendixsen, Jessica M Roberts, Brent Townshend, Eric J Hayden

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. mAbs · 2026
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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

4 authors at 2 institutions in 1 country.

Devin P BendixsenBiomolecular Sciences Graduate Programs, Boise State University, Boise, Idaho 83725, USA.ORCID 0000-0003-0831-7646
Jessica M RobertsBiomolecular Sciences Graduate Programs, Boise State University, Boise, Idaho 83725, USA.
Brent TownshendDepartment of Bioengineering, Stanford University, Stanford, California 94305, USA.ORCID 0000-0003-1927-6341
Eric J HaydenBiomolecular Sciences Graduate Programs, Boise State University, Boise, Idaho 83725, USA.ORCID 0000-0001-6078-5418
Boise State University · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro selection combined with high-throughput sequencing is a powerful experimental approach with broad application in the engineering and characterization of RNA molecules. Diverse pools of starting sequences used for selection are often flanked by fixed sequences used as primer binding sites. These low diversity regions often lead to data loss from complications with Illumina image processing algorithms. A common method to alleviate this problem is the addition of fragmented bacteriophage PhiX genome, which improves sequence quality but sacrifices a portion of usable sequencing reads. An alternative approach is to insert nucleotides of variable length and composition ("phased inserts") at the beginning of each molecule when adding sequencing adaptors. This approach preserves read depth but reduces the length of each read. Here, we test the ability of phased inserts to replace PhiX in a low-diversity sample generated for a high-throughput sequencing based ribozyme activity screen. We designed a pool of 4096 RNA sequence variants of the self-cleaving twister ribozyme from

Indexed as

DNA Transposable ElementsHigh-Throughput Nucleotide SequencingNucleotidesRNARNA, CatalyticSequence Analysis, DNASequence Analysis, RNADNA Transposable ElementsNucleotidesRNARNA, Catalyticin vitro selectionlow-diversityphased insertsribozymessequencing

Identifiers

PMID32300045
PMCPMC7373987
OpenAlexW3016954937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.