Evidence map›Paper›PMID 32944013›Full record

ArticleEngineering in life sciences2020

Comparison of l-tyrosine containing dipeptides reveals maximum ATP availability for l-prolyl-l-tyrosine in CHO cells.

Natascha Verhagen, Andy Wiranata Wijaya, Attila Teleki, Muhammad Fadhlullah, Andreas Unsöld, Martin Schilling, Christoph Heinrich, Ralf Takors

Open access · goldAbstract read
In one paragraph

Article in Engineering in life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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  4. Compartment-specificEngineering in life sciences · 2021
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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

8 authors at 4 institutions in 1 country.

Natascha VerhagenInstitute of Biochemical Engineering University of Stuttgart Stuttgart Germany.
Andy Wiranata WijayaInstitute of Biochemical Engineering University of Stuttgart Stuttgart Germany.ORCID https://orcid.org/0000-0001-9388-7357
Attila TelekiInstitute of Biochemical Engineering University of Stuttgart Stuttgart Germany.
Muhammad FadhlullahInstitute of Biochemical Engineering University of Stuttgart Stuttgart Germany.
Andreas UnsöldBoehringer Ingelheim Pharma GmbH & Co. KG Biberach Germany.
Martin SchillingEvonik Nutrition and Care GmbH Darmstadt Germany.
Christoph HeinrichXell AG Bielefeld Germany.
Ralf TakorsInstitute of Biochemical Engineering University of Stuttgart Stuttgart Germany.
University of Stuttgart · DEBielefeld University · DEBoehringer Ingelheim (Germany) · DEEvonik (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing markets for biopharmaceuticals, including monoclonal antibodies, have triggered a permanent need for bioprocess optimization. Biochemical engineering approaches often include the optimization of basal and feed media to improve productivities of Chinese hamster ovary (CHO) cell cultures. Often, l-tyrosine is added as dipeptide to deal with its poor solubility at neutral pH. Showcasing IgG1 production with CHO cells, we investigated the supplementation of three l-tyrosine (TYR, Y) containing dipeptides: glycyl-l-tyrosine (GY), l-tyrosyl-l-valine (YV), and l-prolyl-l-tyrosine (PY). While GY and YV led to almost no phenotypic and metabolic differences compared to reference samples, PY significantly amplified TYR uptake thus maximizing related catabolic activity. Consequently, ATP formation was roughly four times higher upon PY application than in reference samples.

Indexed as

CHOdipeptidesflux balance analysismedia optimizationmonoclonal antibody

Identifiers

PMID32944013
PMCPMC7481768
OpenAlexW3034884504

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.