Evidence map›Paper›PMID 27763786›Full record

ArticleHuman gene therapy methods2016

Application of Droplet Digital PCR for Estimating Vector Copy Number States in Stem Cell Gene Therapy.

Huan-Ting Lin, Takashi Okumura, Yukinori Yatsuda, Satoru Ito, Hiromitsu Nakauchi, Makoto Otsu

Abstract read
In one paragraph

Article in Human gene therapy methods, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

16 citing papers in PubMed.

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  8. Development of anMolecular therapy. Methods & clinical development · 2023
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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

6 authors.

Huan-Ting Lin1 Division of Stem Cell Therapy, Center for Stem Cell Biology and Regenerative Medicine, Institute of Medical Science, University of Tokyo , Tokyo, Japan .
Takashi Okumura2 Division of Stem Cell Processing/Stem Cell Bank, Center for Stem Cell Biology and Regenerative Medicine, Institute of Medical Science, University of Tokyo , Tokyo, Japan .
Yukinori Yatsuda3 Life Science Division, Bio-Rad Laboratories , Tokyo, Japan .
Satoru Ito3 Life Science Division, Bio-Rad Laboratories , Tokyo, Japan .
Hiromitsu Nakauchi1 Division of Stem Cell Therapy, Center for Stem Cell Biology and Regenerative Medicine, Institute of Medical Science, University of Tokyo , Tokyo, Japan .
Makoto Otsu1 Division of Stem Cell Therapy, Center for Stem Cell Biology and Regenerative Medicine, Institute of Medical Science, University of Tokyo , Tokyo, Japan .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable gene transfer into target cell populations via integrating viral vectors is widely used in stem cell gene therapy (SCGT). Accurate vector copy number (VCN) estimation has become increasingly important. However, existing methods of estimation such as real-time quantitative PCR are more restricted in practicality, especially during clinical trials, given the limited availability of sample materials from patients. This study demonstrates the application of an emerging technology called droplet digital PCR (ddPCR) in estimating VCN states in the context of SCGT. Induced pluripotent stem cells (iPSCs) derived from a patient with X-linked chronic granulomatous disease were used as clonable target cells for transduction with alpharetroviral vectors harboring codon-optimized CYBB cDNA. Precise primer-probe design followed by multiplex analysis conferred assay specificity. Accurate estimation of per-cell VCN values was possible without reliance on a reference standard curve. Sensitivity was high and the dynamic range of detection was wide. Assay reliability was validated by observation of consistent, reproducible, and distinct VCN clustering patterns for clones of transduced iPSCs with varying numbers of transgene copies. Taken together, use of ddPCR appears to offer a practical and robust approach to VCN estimation with a wide range of clinical and research applications.

Indexed as

Genetic TherapyDNA Copy Number VariationsDNA PrimersGenetic VectorsGranulomatous Disease, ChronicHumansInduced Pluripotent Stem CellsReal-Time Polymerase Chain ReactionStem Cell TransplantationVirus IntegrationDNA Primerschronic granulomatous diseasedroplet digital PCRinduced pluripotent stem cellsintegrating vectorsvector copy number

Identifiers

PMID27763786
PMCPMC5111482

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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.