scholarly journals Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

10.3791/50195 ◽  
2013 ◽  
Author(s):  
Bernd Rädle ◽  
Andrzej J. Rutkowski ◽  
Zsolt Ruzsics ◽  
Caroline C. Friedel ◽  
Ulrich H. Koszinowski ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Culture ◽  
High Resolution ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Rna Synthesis ◽  
Metabolic Labeling

scholarly journals High-resolution gene expression profiling for simultaneous kinetic parameter analysis of RNA synthesis and decay

RNA ◽  
2008 ◽  
Vol 14 (9) ◽  
pp. 1959-1972 ◽  
Author(s):  
L. Dolken ◽  
Z. Ruzsics ◽  
B. Radle ◽  
C. C. Friedel ◽  
R. Zimmer ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Kinetic Parameter ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Rna Synthesis ◽  
Parameter Analysis

scholarly journals A molecular portrait of gastrointestinal stromal tumors: an integrative analysis of gene expression profiling and high-resolution genomic copy number

2010 ◽  
Vol 90 (9) ◽  
pp. 1285-1294 ◽  
Author(s):  
Annalisa Astolfi ◽  
Margherita Nannini ◽  
Maria Abbondanza Pantaleo ◽  
Monica Di Battista ◽  
Michael C Heinrich ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Copy Number ◽  
Gastrointestinal Stromal Tumors ◽  
Integrative Analysis ◽  
Stromal Tumors ◽  
Genomic Copy Number ◽  
Genomic Copy

scholarly journals Gene Expression Profiling of Extracellular Matrix as an Effector of Human Hepatocyte Phenotype in Primary Cell Culture

2007 ◽  
Vol 97 (2) ◽  
pp. 384-397 ◽  
Author(s):  
J. L. Page ◽  
M. C. Johnson ◽  
K. M. Olsavsky ◽  
S. C. Strom ◽  
H. Zarbl ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Culture ◽  
Extracellular Matrix ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Primary Cell Culture ◽  
Human Hepatocyte ◽  
Primary Cell

Clonotypic Bone Marrow-Derived Endothelial Progenitor Cells in Multiple Myeloma.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3497-3497
Author(s):  
Marc J. Braunstein ◽  
Daniel R. Carrasco ◽  
David Kahn ◽  
Kumar Sukhdeo ◽  
Alexei Protopopov ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Resolution ◽  
Gene Expression Profiling ◽  
Progenitor Cells ◽  
Tumor Cells ◽  
Endothelial Progenitor Cells ◽  
Expression Profiling ◽  
Gains And Losses

Abstract In multiple myeloma (MM), bone marrow-derived endothelial progenitor cells (EPCs) contribute to tumor neoangiogenesis and their levels covary with tumor mass and prognosis. Recent X-chromosome inactivation studies in female patients showed that, similar to tumor cells, EPCs are clonally restricted in MM. Genomic profiling of MM using high-resolution array comparative genomic hybridization (aCGH) has been previously utilized to mine the genome and find clinical correlates in MM patients. In this study, clonotypic aspects of bone marrow-derived EPCs and MM cells were investigated using aCGH and expression profiling analysis. Confluent EPCs were outgrown from bone marrow aspirates by adherence to laminin. EPCs were >98% vWF/CD133/KDR+ and <1% CD38+. The laminin-nonadherent bone marrow fraction enriched for tumor cells was >50% CD38+. For aCGH and for gene expression profiling, genomic DNA and total RNA from EPCs and MM cells were hybridized to human oligonucleotide arrays (Agilent Technologies) and human cDNA microarrays (Affymetrix), respectively. High resolution aCGH with segmentation analysis showed that EPCs and MM cells in one of ten cases share identical patterns of chromosomal gains and losses, while another 5 cases shared multiple focal copy number alterations (CNAs) including gains and losses. The genomes of EPCs and MM cells additionally displayed exclusive CNAs, but these were far fewer in EPCs than in MM cells. In 3 patients, EPCs harbored a common 0.6Mb deletion at 1q21 not shared by MM cells. Pertinent genes in this region that could affect proliferation and tumor suppression include N2N, NBPF10, and TXNIP. Validation studies of aCGH findings by other methods are ongoing. Gene expression profiling showed decreased expression of 1q21 region genes (e.g., calgranulin C and lamin A/C). A genome-wide comparison of patients’ MM cells and EPCs, which is focused on their shared genetic characteristics, will be presented.

scholarly journals High-Resolution Array CGH and Gene Expression Profiling of Alveolar Soft Part Sarcoma

2014 ◽  
Vol 20 (6) ◽  
pp. 1521-1530 ◽  
Author(s):  
Shamini Selvarajah ◽  
Saumyadipta Pyne ◽  
Eleanor Chen ◽  
Ramakrishna Sompallae ◽  
Azra H. Ligon ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Array Cgh ◽  
Soft Part ◽  
Alveolar Soft Part Sarcoma
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