ArticleCommunications biology2019
On-demand serum-free media formulations for human hematopoietic cell expansion using a high dimensional search algorithm.
Article in Communications biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- A data-driven evaluation of optimization techniques in cell culture media.Bioinformatics (Oxford, England) · 2026Article
- Advanced physiological maturation of human iPSC-derived cardiomyocytes using an algorithm-directed optimization of defined media components.Nature communications · 2026Article
- Embracing sex-specific differences in engineered kidney models for enhanced biological understanding of kidney function.Biology of sex differences · 2024Review
- The construction of modular universal chimeric antigen receptor T (MU-CAR-T) cells by covalent linkage of allogeneic T cells and various antibody fragments.Molecular cancer · 2024Article
- AA2P-mediated DNA demethylation synergizes with stem cell agonists to promote expansion of hematopoietic stem cells.Cell reports methods · 2023Article
- Serum-free alginate-C2C12 cells microcapsule as a model of alternative animal protein source.Frontiers in nutrition · 2023Article
- A review of algorithmic approaches for cell culture media optimization.Frontiers in bioengineering and biotechnology · 2023Review
- Engineering Advanced In Vitro Models of Systemic Sclerosis for Drug Discovery and Development.Advanced biology · 2021Review
- On-demand serum-free media formulations for human hematopoietic cell expansion using a high dimensional search algorithm.Communications biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Substitution of serum and other clinically incompatible reagents is requisite for controlling product quality in a therapeutic cell manufacturing process. However, substitution with chemically defined compounds creates a complex, large-scale optimization problem due to the large number of possible factors and dose levels, making conventional process optimization methods ineffective. We present a framework for high-dimensional optimization of serum-free formulations for the expansion of human hematopoietic cells. Our model-free approach utilizes evolutionary computing principles to drive an experiment-based feedback control platform. We validate this method by optimizing serum-free formulations for first, TF-1 cells and second, primary T-cells. For each cell type, we successfully identify a set of serum-free formulations that support cell expansions similar to the serum-containing conditions commonly used to culture these cells, by experimentally testing less than 1 × 10
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.