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@ARTICLE{Kastenholz:56233,
author = {Kastenholz, B.},
title = {{N}ew hope for the diagnosis and therapy of {A}lzheimer's
disease},
journal = {Protein and peptide letters},
volume = {14},
issn = {0929-8665},
address = {Schiphol},
publisher = {Bentham Science Publ.},
reportid = {PreJuSER-56233},
pages = {389 - 393},
year = {2007},
note = {Record converted from VDB: 12.11.2012},
abstract = {Improperly folded metal cofactor-containing proteins (e.g.,
copper chaperone for Superoxide dismutase, CCS) are believed
to play a key role in several protein-misfolding diseases
(e.g., Alzheimer's disease or Amyotrophic Lateral Sclerosis)
because Under regular physiological conditions,
metallochaperolles activate or stabilize the native
conformation of important metalloproteins (e.g., superoxide
dismutase) in certain Cellular processes. For an improved
diagnosis and therapy of neurodegenerative diseases, new
methodologies have to be developed that enable a
well-defined differentiation between properly folded and
inactive metalloproteins in clinical samples. In the
literature it is reported that different high molecular mass
metal-containing proteins were isolated in brain samples
from Alzheimer's patients and in vegetables by using a
2-dimensional polyacrylamide gel electrophoresis (2-DE)
procedure. In the present article, selected results of these
studies are Scrutinized and compared with some results
obtained by a standardized method termed 'quantitative
preparative native continuous polycrylamide gel
electrophoresis (QPNC-PAGE)'. Conclusively, QPNC-PAGE is a
highly efficient approach used by biochemists to resolve
native and denatured metalloproteins (MW 6 - >= 200 kDa) in
complex protein Mixtures.},
keywords = {J (WoSType)},
cin = {ICG-3},
ddc = {540},
cid = {I:(DE-Juel1)ICG-3-20090406},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Biochemistry $\&$ Molecular Biology},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000246346800012},
doi = {10.2174/092986607780363970},
url = {https://juser.fz-juelich.de/record/56233},
}