Integrated High-Resolution Genome-Wide Analysis of Gene Dosage and Gene Expression in Human Brain Tumors

2007 ◽  
pp. 187-202 ◽  
Author(s):  
Dejan Juric ◽  
Claudia Bredel ◽  
Branimir I. Sikic ◽  
Markus Bredel
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Brain Tumors ◽  
Human Brain ◽  
Gene Dosage ◽  
Genome Wide Analysis ◽  
Human Brain Tumors ◽  
Genome Wide

scholarly journals Complex regulation of acetylcholinesterase gene expression in human brain tumors

Oncogene ◽  
2002 ◽  
Vol 21 (55) ◽  
pp. 8428-8441 ◽  
Author(s):  
Chava Perry ◽  
Ella H Sklan ◽  
Klara Birikh ◽  
Michael Shapira ◽  
Leonor Trejo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Brain Tumors ◽  
Human Brain ◽  
Human Brain Tumors ◽  
Complex Regulation ◽  
Acetylcholinesterase Gene

scholarly journals Lipid Profiles of Human Brain Tumors Obtained by High-Resolution Negative Mode Ambient Mass Spectrometry

Data ◽  
2021 ◽  
Vol 6 (12) ◽  
pp. 132
Author(s):  
Denis S. Zavorotnyuk ◽  
Stanislav I. Pekov ◽  
Anatoly A. Sorokin ◽  
Denis S. Bormotov ◽  
Nikita Levin ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
Animal Models ◽  
Brain Tumors ◽  
Human Brain ◽  
Lipid Composition ◽  
Lipid Profiles ◽  
Ambient Mass Spectrometry ◽  
Clinical Samples ◽  
Human Brain Tumors

Alterations in cell metabolism, including changes in lipid composition occurring during malignancy, are well characterized for various tumor types. However, a significant part of studies that deal with brain tumors have been performed using cell cultures and animal models. Here, we present a dataset of 124 high-resolution negative ionization mode lipid profiles of human brain tumors resected during neurosurgery. The dataset is supplemented with 38 non-tumor pathological brain tissue samples resected during elective surgery. The change in lipid composition alterations of brain tumors enables the possibility of discriminating between malignant and healthy tissues with the implementation of ambient mass spectrometry. On the other hand, the collection of clinical samples allows the comparison of the metabolism alteration patterns in animal models or in vitro models with natural tumor samples ex vivo. The presented dataset is intended to be a data sample for bioinformaticians to test various data analysis techniques with ambient mass spectrometry profiles, or to be a source of clinically relevant data for lipidomic research in oncology.

Gene expression of neurotrophic factors in human brain tumors

1991 ◽  
Vol 2 (2) ◽  
pp. 168-171 ◽  
Author(s):  
Terry Lichtor ◽  
Hirotaka Yamamoto ◽  
Mark E. Gurney
Keyword(s):  
Gene Expression ◽  
Brain Tumors ◽  
Human Brain ◽  
Neurotrophic Factors ◽  
Human Brain Tumors

scholarly journals Development of a Predictor for Human Brain Tumors Based on Gene Expression Values Obtained from Two Types of Microarray Technologies

2010 ◽  
Vol 14 (2) ◽  
pp. 157-164 ◽  
Author(s):  
Xavier Castells ◽  
Juan José Acebes ◽  
Susana Boluda ◽  
Àngel Moreno-Torres ◽  
Jesús Pujol ◽  
...  
Keyword(s):  
Gene Expression ◽  
Brain Tumors ◽  
Human Brain ◽  
Human Brain Tumors

Gene expression of GLUT3 and GLUT1 glucose transporters in human brain tumors

1994 ◽  
Vol 27 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Ruben J. Boado ◽  
Keith L. Black ◽  
William M. Pardridge
Keyword(s):  
Gene Expression ◽  
Brain Tumors ◽  
Human Brain ◽  
Glucose Transporters ◽  
Human Brain Tumors

Gene expression changes in rat brain after short and long exposures to particulate matter in Los Angeles basin air: Comparison with human brain tumors

2013 ◽  
Vol 65 (7-8) ◽  
pp. 1063-1071 ◽  
Author(s):  
Julia Y. Ljubimova ◽  
Michael T. Kleinman ◽  
Natalya M. Karabalin ◽  
Satoshi Inoue ◽  
Bindu Konda ◽  
...  
Keyword(s):  
Gene Expression ◽  
Particulate Matter ◽  
Los Angeles ◽  
Brain Tumors ◽  
Human Brain ◽  
Rat Brain ◽  
Los Angeles Basin ◽  
Human Brain Tumors
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