Evidence map›Paper›PMID 39808320›Full record

ReviewApplied microbiology and biotechnology2025

Characterization and design of dipeptide media formulation for scalable therapeutic production.

Jinsung Song, Seo-Young Park, Dong-Yup Lee

Abstract readReview
In one paragraph

Review in Applied microbiology and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Jinsung SongSchool of Chemical Engineering, Sungkyunkwan University, 2066 Seobu-Ro, Jangan-GuGyeonggi-Do 16419, Suwon-Si, South Korea.ORCID http://orcid.org/0009-0000-6126-8164
Seo-Young ParkSchool of Chemical Engineering, Sungkyunkwan University, 2066 Seobu-Ro, Jangan-GuGyeonggi-Do 16419, Suwon-Si, South Korea.ORCID http://orcid.org/0000-0001-6140-412X
Dong-Yup LeeSchool of Chemical Engineering, Sungkyunkwan University, 2066 Seobu-Ro, Jangan-GuGyeonggi-Do 16419, Suwon-Si, South Korea. dongyuplee@skku.edu.ORCID http://orcid.org/0000-0003-0901-708X

Funding

Korea Innovation Foundation 2021-DD-UP-0369Korea Institute of Energy Technology Evaluation and Planning 20214000000500
6 · The paper itself

Abstract

Process intensification and simplification in biopharmaceutical manufacturing have driven the exploration of advanced feeding strategies to improve culture performance and process consistency. Conventional media design strategies, however, are often constrained by the stability and solubility challenges of amino acids, particularly in large-scale applications. As a result, dipeptides have emerged as promising alternatives. Despite extensive research on amino acids, dipeptide supplementation in Chinese hamster ovary (CHO) cell-based manufacturing has received comparatively less attention. In this review, we critically analyze challenges associated with amino acids prone to instability and poor solubility (e.g., glutamine, cysteine, and tyrosine), and explore the potential of dipeptides to address these limitations. We explore the intricate mechanisms of dipeptide transport and enzymatic cleavage, highlighting how chemical properties, stereoisomerism, and competitive metabolites influence their utilization. Notably, while most dipeptides exhibit enhanced solubility, their stabilization effects and culture performance remain variable, underlining the need for rational design. To guide future innovations, we propose tailored dipeptide strategies derived for specific biomanufacturing needs by integrating multi-omics analysis, metabolic flux modeling, and artificial intelligence (AI) modeling. KEY POINTS : •Explored dipeptides as a solution to amino acid instability and poor solubility, enhancing cell culture performance. •Discussed transporter kinetics and cleavage enzymes influencing dipeptide utilization in biomanufacturing. •Suggested various design strategies for identifying appropriate dipeptide pairs to improve bioprocess efficiency.

Indexed as

Culture MediaDipeptidesAmino AcidsAnimalsCell Culture TechniquesCHO CellsCricetulusSolubilityAmino AcidsCulture MediaDipeptidesChinese hamster ovary cellDipeptideEnzymatic mechanismsMedia formulationSystems biology

Identifiers

PMID39808320
PMCPMC11732857

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.