Evidence map›Paper›PMID 38774583›Full record

ArticleMolecular therapy. Methods & clinical development2024

An HPLC-SEC-based rapid quantification method for vesicular stomatitis virus particles to facilitate process development.

Adrian Schimek, Judy K M Ng, Ioannes Basbas, Fabian Martin, Dongyue Xin, David Saleh, Jürgen Hubbuch

Erratum issuedAbstract read
In one paragraph

Article in Molecular therapy. Methods & clinical development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Characterization of VSV-GP morphology by cryo-EM imaging and SEC-MALS.Molecular therapy. Methods & clinical development · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Adrian SchimekViraTherapeutics GmbH, Bundesstraße 27, 6063 Rum, Austria.
Judy K M NgViraTherapeutics GmbH, Bundesstraße 27, 6063 Rum, Austria.
Ioannes BasbasViraTherapeutics GmbH, Bundesstraße 27, 6063 Rum, Austria.
Fabian MartinViraTherapeutics GmbH, Bundesstraße 27, 6063 Rum, Austria.
Dongyue XinBoehringer Ingelheim Pharmaceuticals Inc, 900 Ridgebury Road, Ridgefield, CT 06877, USA.
David SalehBoehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397 Biberach, Germany.
Jürgen HubbuchKarlsruhe Institute of Technology, Institute of Process Engineering in Life Sciences, Section IV Biomolecular Separation Engineering, Fritz-Haber-Weg 2, 76131 Karlsruhe, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virus particle (VP) quantification plays a pivotal role in the development of production processes of VPs for virus-based therapies. The yield based on total VP count serves as a process performance indicator for evaluating process efficiency and consistency. Here, a label-free particle quantification method for enveloped VPs was developed, with potential applications in oncolytic virotherapy, vaccine development, and gene therapy. The method comprises size-exclusion chromatography (SEC) separation using high-performance liquid chromatography (HPLC) instruments. Ultraviolet (UV) was used for particle quantification and multi-angle light scattering (MALS) for particle characterization. Consistent recoveries of over 97% in the SEC were achieved upon mobile phase screenings and addition of bovine serum albumin (BSA) as sample stabilizer. A calibration curve was generated, and the method's performance and applicability to in-process samples were characterized. The assay's repeatability variation was <1% and its intermediate precision variation was <3%. The linear range of the method spans from 7.08 × 10

Indexed as

analytical SECHPLCvesicular stomatitis virusvirus particle quantificationVSV-GP

Identifiers

PMID38774583
PMCPMC11107205

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.