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Poly A tail length analysis of in vitro transcribed mRNA by LC-MS

Overview of attention for article published in Analytical & Bioanalytical Chemistry, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Title
Poly A tail length analysis of in vitro transcribed mRNA by LC-MS
Published in
Analytical & Bioanalytical Chemistry, January 2018
DOI 10.1007/s00216-017-0840-6
Pubmed ID
Authors

Michael Beverly, Caitlin Hagen, Olga Slack

Abstract

The 3'-polyadenosine (poly A) tail of in vitro transcribed (IVT) mRNA was studied using liquid chromatography coupled to mass spectrometry (LC-MS). Poly A tails were cleaved from the mRNA using ribonuclease T1 followed by isolation with dT magnetic beads. Extracted tails were then analyzed by LC-MS which provided tail length information at single-nucleotide resolution. A 2100-nt mRNA with plasmid-encoded poly A tail lengths of either 27, 64, 100, or 117 nucleotides was used for these studies as enzymatically added poly A tails showed significant length heterogeneity. The number of As observed in the tails closely matched Sanger sequencing results of the DNA template, and even minor plasmid populations with sequence variations were detected. When the plasmid sequence contained a discreet number of poly As in the tail, analysis revealed a distribution that included tails longer than the encoded tail lengths. These observations were consistent with transcriptional slippage of T7 RNAP taking place within a poly A sequence. The type of RNAP did not alter the observed tail distribution, and comparison of T3, T7, and SP6 showed all three RNAPs produced equivalent tail length distributions. The addition of a sequence at the 3' end of the poly A tail did, however, produce narrower tail length distributions which supports a previously described model of slippage where the 3' end can be locked in place by having a G or C after the poly nucleotide region. Graphical abstract Determination of mRNA poly A tail length using magnetic beads and LC-MS.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Master 9 13%
Student > Ph. D. Student 7 10%
Other 5 7%
Student > Bachelor 5 7%
Other 5 7%
Unknown 23 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 31%
Chemistry 10 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 8%
Chemical Engineering 3 4%
Immunology and Microbiology 3 4%
Other 4 6%
Unknown 24 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2024.
All research outputs
#4,717,064
of 25,611,630 outputs
Outputs from Analytical & Bioanalytical Chemistry
#698
of 9,682 outputs
Outputs of similar age
#94,440
of 451,461 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#11
of 182 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,682 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 451,461 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.