Evidence map›Paper›PMID 36818379›Full record

ReviewBiotechnology reports (Amsterdam, Netherlands)2023

Characterization of human induced pluripotent stems cells: Current approaches, challenges, and future solutions.

Sahana Suresh Babu, Haritha Duvvuru, Jillian Baker, Stephanie Switalski, Mehdi Shafa, Krishna Morgan Panchalingam, Saedeh Dadgar, Justin Beller, Behnam Ahmadian Baghbaderani

Abstract readReview
In one paragraph

Review in Biotechnology reports (Amsterdam, Netherlands), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

9 authors.

Sahana Suresh BabuLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Haritha DuvvuruLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Jillian BakerLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Stephanie SwitalskiLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Mehdi ShafaLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Krishna Morgan PanchalingamLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Saedeh DadgarLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Justin BellerLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.
Behnam Ahmadian BaghbaderaniLonza Biologics, Inc., Cell Therapy Process Department, Houston 77047, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human induced pluripotent stem cells (iPSC) have demonstrated massive potentials for use in regenerative and personalized medicine due to their ability to expand in culture and differentiate into specialized cells with therapeutic benefits. However, in order to industrialize iPSC-derived therapies, it is necessary to address the existing challenges surrounding the analytics implemented in the manufacturing process to evaluate and monitor cell expansion, differentiation, and quality of the final products. Here, we review some of the key analytical methods used as part of identity, potency, or safety for in-process or final product release testing and highlighted the challenges and potential solutions for consideration in the Chemistry, Manufacturing and Controls (CMC) strategy for iPSC-based therapies. Some of the challenges associated with characterization and testing of iPSC-based products are related to the choice of analytical technology (to ensure fit-for-purpose), assay reliability and robustness. Automation of analytical methods may be required to reduce hands on time, and improve reliability of the methods through reducing assay variability. Indeed, we have shown that automation of analytical methods is feasible (evaluated using an ELISA based assay) and would result in more precise measurements (demonstrated by lower co-efficient of Variation and standard deviation), less hands-on time, and swift compared to a manually run assay. Therefore, in order to support commercialization of iPSC-based therapies we suggest a well-designed testing strategy to be established in the development phase while incorporating robust, reproducible, reliable, and potentially automated analytics in the manufacturing process.

Indexed as

Analytical methodsAssay robustnessAutomationCell therapiesiPSCs

Identifiers

PMID36818379
PMCPMC9929203

What OpenQuestion holds

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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.