ArticlePloS one2019
Fluctuations in cell density alter protein markers of multiple cellular compartments, confounding experimental outcomes.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 24 citations in OpenAlex.
- From Primary Cells to Organoids: Expanding the Biological Relevance of In Vitro Cellular Models.Cells · 2026Review
- Structural Receptors and Host Adaptations Affecting the Bacteriophage Targeting ofMicroorganisms · 2026Review
- The impact of cell density variations on nanoparticle uptake across bioprinted A549 gradients.Frontiers in bioengineering and biotechnology · 2025Article
- Integrative transcriptomic and proteomic profiling of the effects of cell confluency on gene expression.Scientific data · 2024Article
- Metabolic alterations and cellular responses to β-Hydroxybutyrate treatment in breast cancer cells.Cancer & metabolism · 2024Article
- Conductive Polyisocyanide Hydrogels Inhibit Fibrosis and Promote Myogenesis.ACS applied bio materials · 2024Article
- The population context is a driver of the heterogeneous response of epithelial cells to interferons.Molecular systems biology · 2024Article
- System Biology Approach in Investigating Epithelial-Mesenchymal Transition (EMT).Methods in molecular biology (Clifton, N.J.) · 2024Article
- Article
- Cell culture-derived extracellular vesicles: Considerations for reporting cell culturing parameters.Journal of extracellular biology · 2023Article
- Proteomics reveals that cell density could affect the efficacy of drug treatment.Biochemistry and biophysics reports · 2023Article
- Cancer cell seeding density as a mechanism of chemotherapy resistance: a novel cancer cell density index based on IC50-Seeding Density Slope (ISDS) to assess chemosensitivity.American journal of cancer research · 2023Article
- Assay-ready Cryopreserved Cell Monolayers Enabled by Macromolecular Cryoprotectants.Biomacromolecules · 2022Article
- The effect of hypoxia on PD-L1 expression in bladder cancer.BMC cancer · 2021Article
- High cell density increases glioblastoma cell viability under glucose deprivation via degradation of the cystine/glutamate transporter xCT (SLC7A11).The Journal of biological chemistry · 2020Article
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 at 1 institution in 1 country.
Funding
Abstract
The life cycle of cultured proliferating cells is characterized by fluctuations in cell population density induced by periodic subculturing. This leads to corresponding changes in micro- and macroenvironment of the cells, accompanied by altered cellular metabolism, growth rate and locomotion. Studying cell density-dependent morphological, physiological and biochemical fluctuations is relevant for understanding basic cellular mechanisms and for uncovering the intrinsic variation of commonly used tissue culture experimental models. Using multiple cell lines, we found that expression levels of the autophagic markers p62 and LC3II, and lysosomal enzyme cathepsin D were altered in highly confluent cells as a consequence of nutrient depletion and cell crowding, which led to inactivation of the mTOR signaling pathway. Furthermore, both Lamp1 and active focal adhesion kinase (FAK) were reduced in high-density cells, while chemical inhibition or deletion of FAK led to alterations in lysosomal and autophagic proteins, as well as in the mTOR signaling. This was accompanied by alterations in the Hippo signaling pathway, while cell cycle checkpoint regulator p-cdc2 remained unaffected in at least one studied cell line. On the other hand, allometric scaling of cellular compartments in growing cell populations resulted in biochemically detectable changes in the plasma membrane proteins Na+K+-ATPase and cadherin, and nuclear proteins HDAC1 and Lamin B1. Finally, we demonstrate how treatment-induced changes in cell density and corresponding modulation of susceptible proteins may lead to ambiguous experimental outcomes, or erroneous interpretation of cell culture data. Together, our data emphasize the need to recognize cell density as an important experimental variable in order to improve scientific rigor of cell culture-based studies.
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.