Evidence map›Paper›PMID 29086492›Full record

ArticleBiotechnology progress2018

Impact of media and antifoam selection on monoclonal antibody production and quality using a high throughput micro-bioreactor system.

Sai Rashmika Velugula-Yellela, Abasha Williams, Nicholas Trunfio, Chih-Jung Hsu, Brittany Chavez, Seongkyu Yoon, Cyrus Agarabi

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology progress, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 32 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

7 authors at 2 institutions in 1 country.

Sai Rashmika Velugula-YellelaU.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Product Quality, Office of Biotechnology Products, Division of Biotechnology Review and Research II, Silver Spring, MD.
Abasha WilliamsU.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Product Quality, Office of Biotechnology Products, Division of Biotechnology Review and Research II, Silver Spring, MD.
Nicholas TrunfioU.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Product Quality, Office of Biotechnology Products, Division of Biotechnology Review and Research II, Silver Spring, MD.
Chih-Jung HsuU.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Product Quality, Office of Biotechnology Products, Division of Biotechnology Review and Research II, Silver Spring, MD.
Brittany ChavezU.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Product Quality, Office of Biotechnology Products, Division of Biotechnology Review and Research II, Silver Spring, MD.ORCID 0000-0002-4233-1946
Seongkyu YoonDept. of Chemical Engineering, University of Massachusetts, Lowell, MA.
Cyrus AgarabiU.S. Food and Drug Administration, Center for Drug Evaluation and Research, Office of Product Quality, Office of Biotechnology Products, Division of Biotechnology Review and Research II, Silver Spring, MD.ORCID 0000-0002-3803-2943
United States Food and Drug Administration · USUniversity of Massachusetts Lowell · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

Monoclonal antibody production in commercial scale cell culture bioprocessing requires a thorough understanding of the engineering process and components used throughout manufacturing. It is important to identify high impact components early on during the lifecycle of a biotechnology-derived product. While cell culture media selection is of obvious importance to the health and productivity of mammalian bioreactor operations, other components such as antifoam selection can also play an important role in bioreactor cell culture. Silicone polymer-based antifoams were known to have negative impacts on cell health, production, and downstream filtration and purification operations. High throughput screening in micro-scale bioreactors provides an efficient strategy to identify initial operating parameters. Here, we utilized a micro-scale parallel bioreactor system to study an IgG1 producing CHO cell line, to screen Dynamis, ProCHO5, PowerCHO2, EX-Cell Advanced, and OptiCHO media, and 204, C, EX-Cell, SE-15, and Y-30 antifoams and their impacts on IgG1 production, cell growth, aggregation, and process control. This study found ProCHO5, EX-Cell Advanced, and PowerCHO2 media supported strong cellular growth profiles, with an IVCD of 25-35 × 10

Indexed as

BioreactorsAnimalsAntibodies, MonoclonalBiotechnologyCell Culture TechniquesCHO CellsCricetulusHigh-Throughput Screening AssaysImmunoglobulin GPolymersAntibodies, MonoclonalImmunoglobulin GPolymersantifoamCHO cellsmedia scoutingmicro-bioreactorsmonoclonal antibodies

Identifiers

PMID29086492
PMCPMC5821576
OpenAlexW2766741001

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.