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Statements

Subject Item
n2:RIV%2F00216224%3A14110%2F14%3A00073478%21RIV15-MSM-14110___
rdf:type
n14:Vysledek skos:Concept
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S1214021X13000136/pdfft?md5=130a2f4ffcfb8294fae770ebd95924f2&pid=1-s2.0-S1214021X13000136-main.pdf
dcterms:description
Correct assessment of tissue histopathology is a necessary prerequisite for any clinical diagnosis. Nowadays, classical methods of histochemistry and immunohistochemistry are complemented by various techniques adopted from molecular biology and bioanalytical chemistry. Mass spectrometry profiling or imaging offered a new level of tissue visualization in the last decade, revealing hidden patterns of tissue molecular organization. It can be adapted to diagnostic purposes to improve decisions on complex and morphologically not apparent diagnoses. In this work, we successfully combined tissue profiling by mass spectrometry with analysis by artificial neural networks to classify normal and diseased liver and kidney tissues in a mouse model of primary hyperoxaluria type 1. Correct assessment of tissue histopathology is a necessary prerequisite for any clinical diagnosis. Nowadays, classical methods of histochemistry and immunohistochemistry are complemented by various techniques adopted from molecular biology and bioanalytical chemistry. Mass spectrometry profiling or imaging offered a new level of tissue visualization in the last decade, revealing hidden patterns of tissue molecular organization. It can be adapted to diagnostic purposes to improve decisions on complex and morphologically not apparent diagnoses. In this work, we successfully combined tissue profiling by mass spectrometry with analysis by artificial neural networks to classify normal and diseased liver and kidney tissues in a mouse model of primary hyperoxaluria type 1.
dcterms:title
Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1 Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1
skos:prefLabel
Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1 Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1
skos:notation
RIV/00216224:14110/14:00073478!RIV15-MSM-14110___
n3:aktivita
n16:Z n16:P
n3:aktivity
P(ED1.100/02/0123), P(GA202/07/1669), Z(MSM0021622411), Z(MSM0021622430)
n3:cisloPeriodika
2
n3:dodaniDat
n5:2015
n3:domaciTvurceVysledku
n10:2939096 n10:6723381 n10:8064296 n10:6955231
n3:druhVysledku
n19:J
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
50613
n3:idVysledku
RIV/00216224:14110/14:00073478
n3:jazykVysledku
n20:eng
n3:klicovaSlova
MALDI-TOF mass spectrometry; Primary hyperoxaluria I; Artificial neural networks; Diagnostics; Tissue profiling
n3:klicoveSlovo
n6:Artificial%20neural%20networks n6:Tissue%20profiling n6:Primary%20hyperoxaluria%20I n6:MALDI-TOF%20mass%20spectrometry n6:Diagnostics
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[2397E97EAC9C]
n3:nazevZdroje
Journal of Applied Biomedicine
n3:obor
n13:CB
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
7
n3:projekt
n17:GA202%2F07%2F1669 n17:ED1.100%2F02%2F0123
n3:rokUplatneniVysledku
n5:2014
n3:svazekPeriodika
12
n3:tvurceVysledku
Havel, Josef Salido, Eduardo Hampl, Aleš Peña-Méndez, Eladia María Houška, Jan Vaňhara, Petr Hernandez-Fernaud, Juan Ramón
n3:wos
000334441900007
n3:zamer
n9:MSM0021622430 n9:MSM0021622411
s:issn
1214-021X
s:numberOfPages
7
n18:doi
10.1016/j.jab.2013.12.001
n7:organizacniJednotka
14110