Evidence map›Paper›PMID 38845814›Full record

ArticleEngineering in life sciences2024

Stable overexpression of native and artificial miRNAs for the production of differentially fucosylated antibodies in CHO cells.

Patrick Schlossbauer, Lukas Naumann, Florian Klingler, Madina Burkhart, René Handrick, Kathrin Korff, Christian Neusüß, Kerstin Otte, Friedemann Hesse

Abstract read
In one paragraph

Article in Engineering in life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Patrick SchlossbauerInstitute for Applied Biotechnology University of Applied Sciences Biberach Biberach Germany.ORCID https://orcid.org/0000-0002-2907-2118
Lukas NaumannDepartment of Chemistry Aalen University Aalen Germany.
Florian KlinglerInstitute for Applied Biotechnology University of Applied Sciences Biberach Biberach Germany.
Madina BurkhartInstitute for Applied Biotechnology University of Applied Sciences Biberach Biberach Germany.
René HandrickInstitute for Applied Biotechnology University of Applied Sciences Biberach Biberach Germany.
Kathrin KorffDepartment of Chemistry Aalen University Aalen Germany.
Christian NeusüßDepartment of Chemistry Aalen University Aalen Germany.
Kerstin OtteInstitute for Applied Biotechnology University of Applied Sciences Biberach Biberach Germany.
Friedemann HesseInstitute for Applied Biotechnology University of Applied Sciences Biberach Biberach Germany.ORCID https://orcid.org/0000-0003-0401-1842

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell engineering strategies typically rely on energy-consuming overexpression of genes or radical gene-knock out. Both strategies are not particularly convenient for the generation of slightly modulated phenotypes, as needed in biosimilar development of for example differentially fucosylated monoclonal antibodies (mAbs). Recently, transiently transfected small noncoding microRNAs (miRNAs), known to be regulators of entire gene networks, have emerged as potent fucosylation modulators in Chinese hamster ovary (CHO) production cells. Here, we demonstrate the applicability of stable miRNA overexpression in CHO production cells to adjust the fucosylation pattern of mAbs as a model phenotype. For this purpose, we applied a miRNA chaining strategy to achieve adjustability of fucosylation in stable cell pools. In addition, we were able to implement recently developed artificial miRNAs (amiRNAs) based on native miRNA sequences into a stable CHO expression system to even further fine-tune fucosylation regulation. Our results demonstrate the potential of miRNAs as a versatile tool to control mAb fucosylation in CHO production cells without adverse side effects on important process parameters.

Indexed as

biopharmaceuticalsbiosimilarCHOfucosylation engineeringmicroRNA

Identifiers

PMID38845814
PMCPMC11151017

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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.