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Cited by 199

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Respiratory Activity of Intact, Isolated Parenchymal Cells from Rat Liver

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Howard, R B, Pesch, L A·1968·Journal of Biological Chemistry

Abstract

Abstract An enzymatic technique, with collagenase and hyaluronidase, for the preparation of isolated parenchymal cells from rat liver is described. Most of the cells (90 to 95%) appear structurally intact, but the viability of the cells varies from 75 to 95% in different preparations. The cells respire in Krebs-Ringer phosphate solution, glucose-free Hanks solution, and Medium 199, without added substrate, at rates higher than those previously described for liver cells. Furthermore, linear or near linear rates of endogenous respiration can be maintained for 2 hours. The decline of respiration which then follows is associated with certain of the cells dying off. However, after 25 hours of incubation in Medium 199, approximately 25% of the cells are still viable and respiring, and even after 3 days a few cells are still viable. Respiration is stimulated by calcium ions and by 1% albumin, but not by glucose. The results indicate that the preparative procedure for obtaining the isolated cells is far superior to those previously described.

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Metadata

Authors
Howard, R. B., & Pesch, L. A.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
1968-06
Volume
243
Issue
11
Pages
3105-3109
ISSN
0021-9258 (ISSN-L)
OpenAlex
W1482331547
Cited by
199
References
0
FWCI
25.23
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Respiratory Activity of Intact, Isolated Parenchymal Cells from Rat Liver. https://app.cochat.ai/papers/10.1016/s0021-9258(18)93383-1
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Howard, R. B., & Pesch, L. A. (1968). Respiratory Activity of Intact, Isolated Parenchymal Cells from Rat Liver. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(18)93383-1

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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.