Evidence map›Paper›PMID 36964235›Full record

ArticleScientific reports2023

LNA blockers for improved amplification selectivity.

Jaime Prout, Michael Tian, Alicia Palladino, Jason Wright, John F Thompson

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

5 authors.

Jaime ProutDepartment of Genomics and Computational Biology, Homology Medicines, Inc., Bedford, MA, 01730, USA.
Michael TianDepartment of Genomics and Computational Biology, Homology Medicines, Inc., Bedford, MA, 01730, USA.
Alicia PalladinoDepartment of Genomics and Computational Biology, Homology Medicines, Inc., Bedford, MA, 01730, USA.
Jason WrightDepartment of Genomics and Computational Biology, Homology Medicines, Inc., Bedford, MA, 01730, USA.
John F ThompsonDepartment of Genomics and Computational Biology, Homology Medicines, Inc., Bedford, MA, 01730, USA. Thompson.john.f@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

LNA-containing oligonucleotides bind DNA more tightly than standard DNA, so they can interact with targeted sequences and affect multiple processes. When a desired DNA is present at low concentrations relative to nearly identical undesired DNAs, LNAs can block amplification of unwanted DNAs. Using a short rAAV and synthetic DNA sequence as a model, we studied the length, number, and positioning of LNA bases to improve blocker effectiveness. Oligonucleotides 18-24 bases long with LNAs at every other position were most effective. Highly degenerate targets were used to characterize the impact of mismatches on blocking. Mismatches at LNA ends had little impact on blocking activity. Single and double mismatches were tolerated with longer blockers, especially if the mismatches were near LNA ends. Shorter LNAs were more selective, with > 1 mismatch preventing effective blocking. Neither the strand to which a blocker bound nor the distance between the blocker and priming sites greatly impacted blocking efficiency. We used these findings to design blockers of wild-type DNA versus the single-base A1AT PiZ allele. Blockers are most specific when the mismatch is located away from the LNA 5' end. Pairs of partially overlapping blockers on opposite strands with a centrally-located mismatch have maximal activity and specificity.

Indexed as

DNAOligonucleotidesDNAOligonucleotides

Identifiers

PMID36964235
PMCPMC10038989
OpenAlexW4360826125

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read72
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.