ArticleMolecular bioSystems2009
Computational model and microfluidic platform for the investigation of paracrine and autocrine signaling in mouse embryonic stem cells.
Article in Molecular bioSystems, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 40 citations in OpenAlex.
- Article
- Autocrine TGF-β in Cancer: Review of the Literature and Caveats in Experimental Analysis.International journal of molecular sciences · 2021Review
- Shaping Cell Fate: Influence of Topographical Substratum Properties on Embryonic Stem Cells.Tissue engineering. Part B, Reviews · 2018Review
- Three-dimensional models for studying development and disease: moving on from organisms to organs-on-a-chip and organoids.Integrative biology : quantitative biosciences from nano to macro · 2016Review
- Concise review: microfluidic technology platforms: poised to accelerate development and translation of stem cell-derived therapies.Stem cells translational medicine · 2014Review
- Article
- Probing cell-cell communication with microfluidic devices.Lab on a chip · 2013Review
- Microbioreactor arrays for full factorial screening of exogenous and paracrine factors in human embryonic stem cell differentiation.PloS one · 2012Article
- Cell surface concentrations and concentration ranges for testing in vitro autocrine loops and small molecules.PloS one · 2012Article
- Micro- and nanoengineering for stem cell biology: the promise with a caution.Trends in biotechnology · 2011Review
- Stem cells in microfluidics.Biomicrofluidics · 2011Article
- Article
- Microfluidics-integrated time-lapse imaging for analysis of cellular dynamics.Integrative biology : quantitative biosciences from nano to macro · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Autocrine and paracrine signaling mechanisms are traditionally difficult to study due to the recursive nature of the process and the sub-micromolar concentrations involved. This has proven to be especially limiting in the study of embryonic stem cells that might rely on such signaling for viability, self-renewal, and proliferation. To better characterize possible effects of autocrine and paracrine signaling in the setting of expanding stem cells, we developed a computational model assuming a critical need for cell-secreted survival factors. This model suggested that the precise way in which the removal of putative survival factors could affect stem cell survival in culture. We experimentally tested the predictions in mouse embryonic stem cells by taking advantage of a novel microfluidic device allowing removal of the cell-conditioned medium at defined time intervals. Experimental results in both serum-containing and defined N2B27 media confirmed computational model predictions, suggested existence of unknown survival factors with distinct rates of diffusion, and revealed an adaptive/selective phase in mouse embryonic stem cell response to a lack of paracrine signaling. We suggest that the described computational/experimental platform can be used to identify and study specific factors and pathways involved in a wide variety of paracrine signaling systems.
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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.