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Culture Shock! Investigating the Importance of Physiological Tumour-Like Conditions on Cultured Cancer Cells

2024· article· en· W4398166532 on OpenAlexaffabout
Georgina L. Gardner, Jeffrey A. Stuart

Bibliographic record

VenuePhysiology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsBrock University
Fundersnot available
KeywordsCancer cellBiologyCancerShock (circulatory)Cancer researchCell biologyMicrobiologyMedicineInternal medicineGenetics

Abstract

fetched live from OpenAlex

The tumour microenvironment (TME) is complex and dynamic, characterized by poor vascularization, limited nutrient availability, hypoxia, and an acidic pH. This environment plays a critical role in cancer progression, driving hallmark changes in cancer cell metabolism, morphology, proliferation, and motility. Although mammalian cell culture is a foundational tool for investigating cancer cell biology in vitro, standard cell culture practices fall short of replicating the in vivo conditions of tumours. Recently, ‘physiologic’ cell culture media that closely resemble human plasma (e.g., Plasmax, HPLM) have been developed, along with more frequent adoption of physiological oxygen conditions (2-8% O 2 ) rather than standard atmosphere (~18% O 2 ). Although an improvement, these conditions are not representative of all in vivo cellular environments, particularly that of the TME. Considering the tight regulatory capacity of cancer cells to sense and respond to changes in metabolic availability, we hypothesized that alterations in nutrient and oxygen availability, even if within the physiological range, may subtly rewire the metabolism in cultured cancer cells. This may necessitate further refinement of cell-specific physiologic culture conditions to better maintain the in vivo biology of cells. In this study, we directly address this hypothesis by describing the development of a tumour microenvironment-like medium (TMEM) based on metabolomic profiling of murine pancreatic ductal adenocarcinoma tumour interstitial fluid from relevant literature. We found that murine pancreatic ductal adenocarcinoma (KPCY) cells cultured under TME-like conditions (TMEM, pH 7.0, 1.5% O 2 ) exhibited increased glucose uptake and lactate production rates compared to those cultured under healthy plasma-like conditions (Mouse Plasma-like Medium, pH 7.4, 5% O 2 ), despite lower initial glucose concentrations in TMEM (2.3 mM vs. 4.4 mM in Mouse Plasma-like Medium). Moreover, cell proliferation rates were lower in TMEM, suggesting an overall reduction in ATP consumption fueling cell division. Seahorse Extracellular Flux Analysis is being performed to determine effects on cellular bioenergetics. Metabolomic amino acid uptake using LCMS is also being performed to further assess the effect of TMEM on nutrient utilization. Using RNA-sequencing, we showed that culture in TMEM increased expression of genes associated with angiogenesis, amino acids biosynthesis, cell migration, and endothelial-to-mesenchymal transition. Migration assays confirmed increased motility in KPCY cells cultured in TMEM. Taken together, these results demonstrate that growth in a medium designed to simulate the TME alters KPCY cell biology in ways that are relevant to their pathology, which highlights the significance of maintaining TME-like conditions in culture. This research was funded by a Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant from JAS and a NSERC Canadian Graduate Student (Masters) Grant awarded to GLG. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.306
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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