Evidence map›Paper›PMID 37841416›Full record

ArticleMolecular therapy. Methods & clinical development2023

Universal ddPCR-based assay for the determination of lentivirus infectious titer and lenti-modified cell vector copy number.

Jennifer Kandell, Steven Milian, Richard Snyder, Uma Lakshmipathy

Abstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

4 authors.

Jennifer KandellScience and Technology, Pharma Services Group, Thermo Fisher Scientific, San Diego, CA 92121, USA.
Steven MilianScience and Technology, Pharma Services Group, Thermo Fisher Scientific, Alachua, FL 32615, USA.
Richard SnyderScience and Technology, Pharma Services Group, Thermo Fisher Scientific, Alachua, FL 32615, USA.
Uma LakshmipathyScience and Technology, Pharma Services Group, Thermo Fisher Scientific, San Diego, CA 92121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The translation of cell-based therapies from research to clinical setting requires robust analytical methods that successfully adhere to current good manufacturing practices and regulatory guidelines. Lentiviral vectors are commonly used for gene delivery to generate genetically modified therapeutic cell products. For some cell therapy products, standardized characterization assays for potency and safety have gained momentum. Translational applications benefit from assays that can be deployed broadly, such as for lentiviral vectors with various transgenes of interest. Development of a universal method to determine lentivirus infectious titer and vector copy number (VCN) of lenti-modified cells was performed using droplet digital PCR (ddPCR). Established methods relied on a ubiquitous lenti-specific target and a housekeeping gene that demonstrated comparability among flow cytometry-based methods. A linearized plasmid control was used to determine assay linearity/range, sensitivity, accuracy, and limits of quantification. Implementing this assay, infectious titer was assessed for various production runs that demonstrated comparability to the flow cytometry titer. The ddPCR assay described here also indicates suitability in the determination of VCN for genetically modified CAR-T cell products. Overall, the development of these universal assays supports the implementation of standardized characterization methods for quality control.

Indexed as

CAR-T cellscell & gene therpaylentivirus infectious titervector copy number

Identifiers

PMID37841416
PMCPMC10568280

What OpenQuestion holds

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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.