Evidence map›Paper›PMID 35198419›Full record

ArticleBiotechnology reports (Amsterdam, Netherlands)2022

Validation of an automated cell counting method for cGMP manufacturing of human induced pluripotent stem cells.

Paolo Manzini, Valeria Peli, Araceli Rivera-Ordaz, Silvia Budelli, Mario Barilani, Lorenza Lazzari

Open access · goldAbstract read
In one paragraph

Article in Biotechnology reports (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 1 institution in 1 country.

Paolo ManziniLaboratory of Regenerative Medicine ‒ Cell Factory, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, Milano, 20122 Italy.
Valeria PeliLaboratory of Regenerative Medicine ‒ Cell Factory, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, Milano, 20122 Italy.
Araceli Rivera-OrdazLaboratory of Regenerative Medicine ‒ Cell Factory, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, Milano, 20122 Italy.
Silvia BudelliLaboratory of Regenerative Medicine ‒ Cell Factory, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, Milano, 20122 Italy.
Mario BarilaniLaboratory of Regenerative Medicine ‒ Cell Factory, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, Milano, 20122 Italy.
Lorenza LazzariLaboratory of Regenerative Medicine ‒ Cell Factory, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, Milano, 20122 Italy.
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human induced pluripotent stem cells (hiPSCs) must be manufactured as advanced therapy medicinal products (ATMPs) for innovative tissue replacement clinical applications. Yet, production of hiPSCs under current Good Manufacturing Practice (cGMP) presents many hurdles, such as the large-scale cell expansion needed to reach therapeutically-relevant hiPSC doses. For the monitoring of this phase, a fast and reliable cell counting method should be used. Conventional manual cell counting by the hemocytometer method is dependent on the operator's expertise and is time-consuming. Therefore, automation of sample preparation and analysis is needed to improve precision and rapidity of hiPSC cell counting. We investigated whether an automated cell counting method could be validated for use with hiPSCs, in comparison with a reference cell counting method included in the European Pharmacopeia, 10th edition. The proposed method was the fluorescence imaging-based NucleoCounter NC-100 system, whereas the reference method was manual cell counting using a Bürker hemocytometer. The validation strategy complied with EudraLex cGMP regulations for ATMP manufacturing and ICH Q2(R1) indications for validation of analytical methods. The use of the NucleoCounter NC-100 system for automated cell counting was validated, focusing on accuracy, specificity, intra- and inter-operator reproducibility, range and linearity, showing higher precision than the manual method. The automated method can be used more effectively than the manual one for hiPSC cell counting. Thus, this piece of work paves the way for all cGMP facilities that want to pursue hiPSC manufacturing for clinical use.

Indexed as

Analytical methodCell countingCell manufacturingCell therapyhiPSCValidation

Identifiers

PMID35198419
PMCPMC8851089
OpenAlexW4210936870

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.