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Metallothioneins in Normal and Cancer Cells

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Attention for Chapter 1: Introduction
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Chapter title
Introduction
Chapter number 1
Book title
Metallothioneins in Normal and Cancer Cells
Published in
Advances in anatomy embryology and cell biology, January 2016
DOI 10.1007/978-3-319-27472-0_1
Pubmed ID
Book ISBNs
978-3-31-927471-3, 978-3-31-927472-0
Authors

Piotr Dziegiel, Bartosz Pula, Christopher Kobierzycki, Mariusz Stasiolek, Marzenna Podhorska-Okolow

Abstract

Metallothioneins (MTs) are low molecular weight proteins (6-7 kDa), which were detected in almost all types of organisms ranging from prokaryotes to more complex eukaryotic species (Coyle et al. 2002b; Pedersen et al. 2009; Palacios et al. 2011; Vasak and Meloni 2011). In mammals, four main MT isoforms designated from MT-1 to MT-4 were identified (Mididoddi et al. 1996). The MT-1 and MT-2 members of the family were discovered by Margoshes and Vallee in 1957, who first isolated both isoforms from horse renal cortex in search of a cadmium binding protein (Margoshes and Vallee 1957). Then, at the beginning of the 1990s, the MT-3 isoform (also known as GIF-growth inhibitory factor) was extracted from the brain of rats suffering from experimentally induced Alzheimer's disease (Uchida and Tomonaga 1989; Uchida et al. 1991). Following this finding, Quaife et al. discovered the MT-4 isoform in the stratified squamous epithelia of the skin and upper parts of the respiratory tract (Quaife et al. 1994). Most of our knowledge concerning MTs' biology stems from research focusing on the role of MT-1 and MT-2 isoforms (MT-1/2), which are ubiquitously expressed in almost all cells of the body (Davis and Cousins 2000; Krizkova et al. 2009b, 2012; Babula et al. 2012). The functions of MT-3 and MT-4 are currently under intense investigation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 9 17%
Student > Bachelor 9 17%
Researcher 5 9%
Student > Doctoral Student 3 6%
Other 3 6%
Unknown 14 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 23%
Chemistry 6 11%
Agricultural and Biological Sciences 5 9%
Environmental Science 4 8%
Medicine and Dentistry 3 6%
Other 7 13%
Unknown 16 30%