Evidence map›Paper›PMID 30219859›Full record

ArticleNucleic acids research2018

3' end additions by T7 RNA polymerase are RNA self-templated, distributive and diverse in character-RNA-Seq analyses.

Yasaman Gholamalipour, Aruni Karunanayake Mudiyanselage, Craig T Martin

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

108 citing papers in PubMed, 175 citations in OpenAlex.

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48 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Yasaman GholamalipourDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Aruni Karunanayake MudiyanselageDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA.
Craig T MartinDepartment of Chemistry, University of Massachusetts Amherst, Amherst, MA 01003, USA.
University of Massachusetts Amherst · US

Funding

National Science Foundation MCB-1516896
6 · The paper itself

Abstract

Synthetic RNA is widely used in basic science, nanotechnology and therapeutics research. The vast majority of this RNA is synthesized in vitro by T7 RNA polymerase or one of its close family members. However, the desired RNA is generally contaminated with products longer and shorter than the DNA-encoded product. To better understand these undesired byproducts and the processes that generate them, we analyze in vitro transcription reactions using RNA-Seq as a tool. The results unambiguously confirm that product RNA rebinds to the polymerase and self-primes (in cis) generation of a hairpin duplex, a process that favorably competes with promoter driven synthesis under high yield reaction conditions. While certain priming modes can be favored, the process is heterogeneous, both in initial priming and in the extent of priming, and already extended products can rebind for further extension, in a distributive process. Furthermore, addition of one or a few nucleotides, previously termed 'nontemplated addition,' also occurs via templated primer extension. At last, this work demonstrates the utility of RNA-Seq as a tool for in vitro mechanistic studies, providing information far beyond that provided by traditional gel electrophoresis.

Indexed as

Templates, GeneticTranscription, GeneticBase SequenceDNA-Directed RNA PolymerasesPromoter Regions, GeneticRNASequence Analysis, RNASequence Homology, Nucleic AcidViral Proteinsbacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesRNAViral Proteins

Identifiers

PMID30219859
PMCPMC6182178
OpenAlexW2890525807

What OpenQuestion holds

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Registered trials

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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.