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Cited by 641

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Unraveling the mysteries of serum albumin—more than just a serum protein

Open access
Merlot, Angelica M., Kalinowski, Danuta S., Richardson, Des R.·2014·Frontiers in Physiology

Abstract

Serum albumin is a multi-functional protein that is able to bind and transport numerous endogenous and exogenous compounds. The development of albumin drug carriers is gaining increasing importance in the targeted delivery of cancer therapy, particularly as a result of the market approval of the paclitaxel-loaded albumin nanoparticle, Abraxane®. Considering this, there is renewed interest in isolating and characterizing albumin-binding proteins or receptors on the plasma membrane that are responsible for albumin uptake. Initially, the cellular uptake and intracellular localization of albumin was unknown due to the large confinement of the protein within the vascular and interstitial compartment of the body. Studies have since assessed the intracellular localization of albumin in order to understand the mechanisms and pathways responsible for its uptake, distribution and catabolism in multiple tissues, and this is reviewed herein.

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Metadata

Authors
Merlot, A. M., Kalinowski, D. S., & Richardson, D. R.
Venue
Frontiers in Physiology
Published
2014-08-12
Volume
5
Pages
299-299
ISSN
1664-042X (ISSN-L)
OpenAlex
W2037555314
Cited by
641
References
6
FWCI
9.73
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Unraveling the mysteries of serum albumin—more than just a serum protein. https://app.cochat.ai/papers/10.3389/fphys.2014.00299
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Merlot, A. M., Kalinowski, D. S., & Richardson, D. R. (2014). Unraveling the mysteries of serum albumin—more than just a serum protein. Frontiers in Physiology. https://doi.org/10.3389/fphys.2014.00299

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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.