Evidence map›Paper›PMID 42037403›Full record

ArticleBioanalysis2026

Overcoming inconsistent DNA extraction recovery across tissue types in qPCR assays supporting biodistribution studies.

Ting Jiang, Zhaomeng Feng, Long Yuan

Abstract read
In one paragraph

Article in Bioanalysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ting JiangDrug Metabolism and Pharmacokinetics, Biogen, Cambridge, MA, USA.ORCID 0000-0001-5349-3396
Zhaomeng FengDrug Metabolism and Pharmacokinetics, Biogen, Cambridge, MA, USA.ORCID 0000-0002-4285-1554
Long YuanDrug Metabolism and Pharmacokinetics, Biogen, Cambridge, MA, USA.ORCID 0000-0003-1863-2308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDNA biodistribution studies are essential in the development of cell and gene therapies. A key step of these studies is the extraction of vector DNA (vDNA) and genomic DNA (gDNA) from complex biological samples. In this work, key DNA extraction parameters were evaluated and optimized to ensure consistent and efficient DNA recovery.

methodsRecovery was evaluated in multiple tissue types by spiking known amounts of vDNA and/or mouse gDNA into surrogate rabbit matrices, performing extraction using a DNA extraction kit under various conditions, and then quantifying the recovered DNA by qPCR and comparing with those spiked post extraction.

resultsParameters including proteinase K incubation, RNase amount, DNA binding beads amount, and tissue input were systematically evaluated and found to play a significant role in recovery. By optimizing these parameters, consistently high recovery was achieved across various tissue types including brain, liver, and spinal cord from mouse, rabbit, and non-human primates.

conclusionProteinase K incubation, RNase amount, tissue input, and DNA binding beads volume were identified as key parameters influencing DNA recovery from tissue samples. The findings provide valuable insights for researchers to evaluate and optimize their own extraction protocols, ultimately enhancing the reliability and accuracy in supporting biodistribution studies.

Indexed as

DNAReal-Time Polymerase Chain ReactionAnimalsEndopeptidase KLiverMiceRabbitsTissue DistributionDNAEndopeptidase KBiodistribution studycell and gene therapyDNA extractionproteinase KqPCRrecoveryRNasetissue samples

Identifiers

PMID42037403
PMCPMC13215310

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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.