Evidence map›Paper›PMID 41062451›Full record

ArticleNucleic acids research2026

MediaAssist: database to support the design and optimization of cell culture medium.

Kalyani Thakar, Indrani Madhugiri, Chetan Gadgil, Mugdha Gadgil

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Kalyani ThakarChemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune 411008, India.
Indrani MadhugiriChemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune 411008, India.
Chetan GadgilChemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune 411008, India.
Mugdha GadgilChemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Pune 411008, India.ORCID 0000-0003-1703-789X

Funding

Department of Biotechnology BT/PR40123/BTIS/137/47/2022Department of Biotechnology BT/PR40128/BTIS/37/43/2022University Grants Commission CSIR-UGC NET
6 · The paper itself

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

Cell Culture TechniquesCulture MediaDatabases, FactualAnimalsCulture Media, Serum-FreeCulture MediaCulture Media, Serum-Free

Identifiers

PMID41062451
PMCPMC12808543

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.