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Cited by 373

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Shear stress induced stimulation of mammalian cell metabolism

Open access
Frangos, J. A., McIntire, L. V., Eskin, S. G.·1988·Biotechnology and Bioengineering

Abstract

A flow apparatus has been developed for the study of the metabolic response of anchorage‐dependent cells to a wide range of steady and pulsatile shear stresses under well‐controlled conditions. Human umbilical vein endothelial cell monolayers were subjected to steady shear stresses of up to 24 dynes/cm 2, and the production of prostacyclin was determined. The onset of flow led to a burst in prostacyclin production which decayed to a long term steady state rate (SSR). The SSR of cells exposed to flow was greater than the basal release level, and increased linearly with increasing shear stress. This study demonstrates that shear stress in certain ranges may not be detrimental to mammalian cell metabolism. In fact, throughout the range of shear stresses studied, metabolite production is maximized by maximizing shear stress.

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Crossref · 10.1002/bit.260320812

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Metadata

Authors
Frangos, J. A., McIntire, L. V., & Eskin, S. G.
Venue
Biotechnology and Bioengineering
Publisher
Wiley
Published
1988-10-05
Volume
32
Issue
8
Pages
1053-1060
ISSN
  • 0006-3592 (ISSN-L)
  • 1097-0290
OpenAlex
W2119892103
Cited by
373
References
9
FWCI
2.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Shear stress induced stimulation of mammalian cell metabolism. https://app.cochat.ai/papers/10.1002/bit.260320812
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Frangos, J. A., McIntire, L. V., & Eskin, S. G. (1988). Shear stress induced stimulation of mammalian cell metabolism. Biotechnology and Bioengineering. https://doi.org/10.1002/bit.260320812

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.