Evidence map›Paper›PMID 38096204›Full record

ArticlePloS one2023

A novel method for quantitation of AAV genome integrity using duplex digital PCR.

Lauren Tereshko, Xiaohui Zhao, Jake Gagnon, Tinchi Lin, Trevor Ewald, Yu Wang, Marina Feschenko, Cullen Mason

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Lauren TereshkoAnalytical Development, Biogen, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-3136-753X
Xiaohui ZhaoAnalytical Development, Biogen, Cambridge, Massachusetts, United States of America.
Jake GagnonBiostatistics, Biogen, Cambridge, Massachusetts, United States of America.
Tinchi LinAnalytics and Data Sciences, Biogen, Cambridge, Massachusetts, United States of America.ORCID 0000-0001-5098-6902
Trevor EwaldAnalytical Development, Biogen, Cambridge, Massachusetts, United States of America.
Yu WangAnalytical Development, Biogen, Cambridge, Massachusetts, United States of America.
Marina FeschenkoAnalytical Development, Biogen, Cambridge, Massachusetts, United States of America.
Cullen MasonAnalytical Development, Biogen, Cambridge, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinant adeno-associated virus (rAAV) vectors have become a reliable strategy for delivering gene therapies. As rAAV capsid content is known to be heterogeneous, methods for rAAV characterization are critical for assessing the efficacy and safety of drug products. Multiplex digital PCR (dPCR) has emerged as a popular molecular approach for characterizing capsid content due to its high level of throughput, accuracy, and replicability. Despite growing popularity, tools to accurately analyze multiplexed data are scarce. Here, we introduce a novel statistical model to estimate genome integrity from duplex dPCR assays. This work demonstrates that use of a Poisson-multinomial mixture distribution significantly improves the accuracy and quantifiable range of duplex dPCR assays over currently available models.

Indexed as

Genetic TherapyGenetic VectorsDependovirusPolymerase Chain ReactionTransgenes

Identifiers

PMID38096204
PMCPMC10721069

What OpenQuestion holds

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LicenceCC BY
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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.