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Cited by 189

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Distribution of glucose transporter messenger RNA transcripts in tissues of rat and man.

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Flier, J S, Mueckler, M, McCall, A L, Lodish, H F·1987·Journal of Clinical Investigation

Abstract

We used the complementary DNA for the human hepatoma Hep G2 glucose transporter to determine the distribution of glucose transporter messenger RNA (mRNA) in rat and human tissues. Under stringent hybridization conditions, a single 2.8-kilobase (kb) transcript is seen in all rat and human tissues examined. The mRNA is most abundant in brain, and is especially enriched in the brain microvascular fraction. The mRNA abundance in rat muscle and fat is 5% that in brain. Rat liver (both adult and fetal) and human liver have very little 2.8-kb mRNA, but it is abundant in cultured human fibroblasts and EB virus-transformed lymphoblasts. The same size mRNA is present in leg muscle of two type II diabetic patients. A very homologous glucose transporter mRNA is expressed in both insulin-sensitive and -insensitive tissues of rat and man. Hepatocytes, which have abundant glucose transport, may express a homologous but nonidentical glucose transporter.

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Metadata

Authors
Flier, J. S., Mueckler, M., McCall, A. L., & Lodish, H. F.
Venue
Journal of Clinical Investigation
Published
1987-02-01
Volume
79
Issue
2
Pages
657-661
ISSN
0021-9738 (ISSN-L)
OpenAlex
W2030345672
Cited by
189
References
0
FWCI
8.32
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Distribution of glucose transporter messenger RNA transcripts in tissues of rat and man. https://app.cochat.ai/papers/10.1172/jci112864
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Flier, J. S., Mueckler, M., McCall, A. L., & Lodish, H. F. (1987). Distribution of glucose transporter messenger RNA transcripts in tissues of rat and man. Journal of Clinical Investigation. https://doi.org/10.1172/jci112864

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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.