ArticleMicroarrays (Basel, Switzerland)2015
Evaluating the Effect of Cell Culture on Gene Expression in Primary Tissue Samples Using Microfluidic-Based Single Cell Transcriptional Analysis.
Article in Microarrays (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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
33 citing papers in PubMed, 50 citations in OpenAlex.
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- A multicentre, randomised controlled clinical trial evaluating the effects of a novel autologous, heterogeneous skin construct in the treatment of Wagner one diabetic foot ulcers: Interim analysis.International wound journal · 2022Trial
- Complete wound closure following a single topical application of a novel autologous homologous skin construct: first evaluation in an open-label, single-arm feasibility study in diabetic foot ulcers.International wound journal · 2020Trial
- Culture-dependent decoupling ofEpigenetics · 2026Article
- Patient-Derived Models of Liver Cancer to Inform Clinical Treatment Paradigms: Recent Updates.Seminars in liver disease · 2026Review
- Large variations in total and allele-specific transcript expression in a disease mutation-independent manner.Scientific reports · 2026Article
- Modelling Endometriosis Using In Vitro and In Vivo Systems.International journal of molecular sciences · 2025Review
- Challenges of Spatially Resolved Metabolism in Cancer Research.Metabolites · 2024Review
- Evaluating cancer cell line and patient-derived xenograft recapitulation of tumor and non-diseased tissue gene expression profiles in silico.Cancer reports (Hoboken, N.J.) · 2023Article
- Evaluating cancer cell line and patient-derived xenograft recapitulation of tumor and non-diseased tissue gene expression profilesbioRxiv : the preprint server for biology · 2023Article
- Expression levels of NPPB, ITGB6, CPNE4, EML5, and ITSN1 in fresh exudates swabbed from critically colonised and infected full-thickness wounds in rats.International wound journal · 2023Article
- Single-cell transcriptomic heterogeneity between conduit and resistance mesenteric arteries in rats.Physiological genomics · 2023Article
- Timelapse viability assay to detect division and death of primary multiple myeloma cells in response to drug treatments with single cell resolution.Integrative biology : quantitative biosciences from nano to macro · 2022Article
- LncRNAs Are Differentially Expressed between Wildtype and Cell Line Strains of African Trypanosomes.Non-coding RNA · 2022Article
- Temporal single-cell regeneration studies: the greatest thing since sliced pancreas?Trends in endocrinology and metabolism: TEM · 2021Review
- Article
- Transcription Profiling of Cultured Acropora digitifera Adult Cells Reveals the Existence of Ancestral Genome Regulatory Modules Underlying Pluripotency and Cell Differentiation in Cnidaria.Genome biology and evolution · 2021Article
- Potassium Channels Kv1.3 and Kir2.1 But Not Kv1.5 Contribute to BV2 Cell Line and Primary Microglial Migration.International journal of molecular sciences · 2021Article
- New Gene Markers Involved in Molecular Processes of Tissue Repair, Response to Wounding and Regeneration Are Differently Expressed in Fibroblasts from Porcine Oral Mucosa during Long-Term Primary Culture.Animals : an open access journal from MDPI · 2020Article
- Molecular Analysis of Fetal and Adult Primary Human Liver Sinusoidal Endothelial Cells: A Comparison to Other Endothelial Cells.International journal of molecular sciences · 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
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significant transcriptional heterogeneity is an inherent property of complex tissues such as tumors and healing wounds. Traditional methods of high-throughput analysis rely on pooling gene expression data from hundreds of thousands of cells and reporting a population-wide average that is unable to capture differences within distinct cell subsets. Recent advances in microfluidic technology have permitted the development of large-scale single cell analytic methods that overcome this limitation. The increased granularity afforded by such approaches allows us to answer the critical question of whether expansion in cell culture significantly alters the transcriptional characteristics of cells isolated from primary tissue. Here we examine an established population of human adipose-derived stem cells (ASCs) using a novel, microfluidic-based method for high-throughput transcriptional interrogation, coupled with advanced bioinformatic analysis, to evaluate the dynamics of single cell gene expression among primary, passage 0, and passage 1 stem cells. We find significant differences in the transcriptional profiles of cells from each group, as well as a considerable shift in subpopulation dynamics as those subgroups better able to adhere and proliferate under these culture conditions gradually emerge as dominant. Taken together, these findings reinforce the importance of using primary or very early passage cells in future studies.
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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.