"2" . "Havel, Josef" . "4"^^ . "50613" . "Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1"@en . . . . "14110" . "Salido, Eduardo" . . "Journal of Applied Biomedicine" . . . . "Hampl, Ale\u0161" . "7"^^ . "Pe\u00F1a-M\u00E9ndez, Eladia Mar\u00EDa" . . . "RIV/00216224:14110/14:00073478!RIV15-MSM-14110___" . "[2397E97EAC9C]" . . . . . "1214-021X" . "12" . . . "Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1" . . . "MALDI-TOF mass spectrometry; Primary hyperoxaluria I; Artificial neural networks; Diagnostics; Tissue profiling"@en . "Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1"@en . "P(ED1.100/02/0123), P(GA202/07/1669), Z(MSM0021622411), Z(MSM0021622430)" . "7"^^ . "CZ - \u010Cesk\u00E1 republika" . "000334441900007" . "10.1016/j.jab.2013.12.001" . "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."@en . "Tissue profiling by nanogold-mediated mass spectrometry and artificial neural networks in the mouse model of human primary hyperoxaluria 1" . . "Hou\u0161ka, Jan" . . "Va\u0148hara, Petr" . "RIV/00216224:14110/14:00073478" . . . . "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." . "Hernandez-Fernaud, Juan Ram\u00F3n" . . . "http://www.sciencedirect.com/science/article/pii/S1214021X13000136/pdfft?md5=130a2f4ffcfb8294fae770ebd95924f2&pid=1-s2.0-S1214021X13000136-main.pdf" .