ArticleNucleic acids research2026
MediaAssist: database to support the design and optimization of cell culture medium.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Animal cell culture is widely used for research in fundamental biology, drug discovery, and the manufacture of biopharmaceutical products such as recombinant proteins, vaccines, and cell therapies. The nutritional medium used to culture animal cells is a complex mixture of >50 components. Historically, it has been supplemented with sera such as fetal bovine serum, but commercial applications now widely use serum-free media. Developing or optimizing a medium formulation requires knowledge of chemical parameters such as solubility and stability and benefits from knowledge of biological parameters such as specific nutrient uptake rates and transporters of the different components. The complexity of medium design and optimization is increased manifold by the possibility of co-dependencies between components, where the effect of one component depends on the concentration of another. To our knowledge, there is no common repository of these chemical and biological parameters, including co-dependencies. The MediaAssist database collates this information to aid in designing and optimizing cell culture medium. Much of this information, such as co-dependencies, is dynamic, and we intend to keep updating the database as new information becomes available. MediaAssist is available at https://mediaassist.ncl.res.in.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.