scholarly journals Gene expression profiling of human stenotic aorto-coronary bypass grafts by cDNA array analysis

2003 ◽  
Vol 23 (4) ◽  
pp. 620-625 ◽  
Author(s):  
Michael Hilker ◽  
Tina Längin ◽  
Ulrich Hake ◽  
Franz-Xaver Schmid ◽  
Wlodzimierz Kuroczynski ◽  
...  
2005 ◽  
Vol 92 (7) ◽  
pp. 1193-1200 ◽  
Author(s):  
K Nosho ◽  
H Yamamoto ◽  
Y Adachi ◽  
T Endo ◽  
Y Hinoda ◽  
...  

Circulation ◽  
2001 ◽  
Vol 103 (10) ◽  
pp. 1396-1402 ◽  
Author(s):  
Dietlind Zohlnhöfer ◽  
Christoph A. Klein ◽  
Thomas Richter ◽  
Richard Brandl ◽  
Alexander Murr ◽  
...  

2004 ◽  
Vol 16 (2) ◽  
pp. 248
Author(s):  
C. Wrenzycki ◽  
T. Brambrink ◽  
D. Herrmann ◽  
J.W. Carnwath ◽  
H. Niemann

Array technology is a widely used tool for gene expression profiling, providing the possibility to monitor expression levels of an unlimited number of genes in various biological systems including preimplantation embryos. The objective of the present study was to develop and validate a bovine cDNA array and to compare expression profiles of embryos derived from different origins. A bovine blastocyst cDNA library was generated. Poly(A+)RNA was extracted from in vitro-produced embryos using a Dynabead mRNA purification kit. First-strand synthesis was performed with SacIT21 primer followed by randomly primed second-strand synthesis with a DOP primer mix (Roche) and a global PCR with 35 cycles using SacIT21 and DOP primers. Complementary DNA fragments from 300 to 1500bp were extracted from the gel and normalized via reassoziation and hydroxyapatite chromatography. Resulting cDNAs were digested with SacI and XhoI, ligated into a pBKs vector, and transfected into competent bacteria (Stratagene). After blue/white colony selection, plasmids were extracted and the inserts were subjected to PCR using vector specific primers. Average insert size was determined by size idenfication on agarose gels stained with ethidium bromide. After purification via precipitation and denaturation, 192 cDNA probes were double-spotted onto a nylon membrane and bound to the membrane by UV cross linking. Amplified RNA (aRNA) probes from pools of three or single blastocysts were generated as described recently (Brambrink et al., 2002 BioTechniques, 33, 3–9) and hybridized to the membranes. Expression profiles of in vitro-produced blastocysts cultured in either SOF plus BSA or TCM plus serum were compared with those of diploid parthenogenetic ones generated by chemical activation. Thirty-three probes have been sequenced and, after comparison with public data bases, 26 were identified as cDNAs or genes. Twelve out of 192 (6%) seem to be differentially expressed within the three groups;; 7/12 (58%) were down-regulated, 3/12 (25%) were up-regulated in SOF-derived embryos, and 2/12 (20%) were up-regulated in parthenogenetic blastocysts compared to their in vitro-generated counterparts. Three of these genes involved in calcium signaling (calmodulin, calreticulin) and regulation of actin cytoskeleton (destrin) were validated by semi-quantitative RT-PCR (Wrenzycki et al., 2001 Biol. Reprod. 65, 309–317) employing poly(A+) RNA from a single blastocyst as starting material. No differences were detected in the relative abundance of the analysed gene transcripts within the different groups. These findings were confirmed employing the aRNA used for hybridization in RT-PCR and showed a good representativity of the selected transcripts. Results indicate that it is possible to construct a homologous cDNA array which could be used for gene expression profiling of bovine preimplantation embryos. Supported by the Deutsche Forschungsgemeinschaft (DFG Ni 256/18-1).


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 10562-10562
Author(s):  
M. Pantaleo ◽  
A. Astolfi ◽  
M. Di Battista ◽  
P. Paterini ◽  
D. Santini ◽  
...  

10562 Background: The insulin-like growth factor 1 receptor (IGF1r) is a tyrosine kinase receptor that plays a key role in the growth of normal tissues. The aberration of IGF system has been found in many cancers. Some interesting results about IGF1r were published on GISTs. However, until now the real role on the pathogenesis of this disease and its clinical implications still needs to be defined. Methods: We studied IGF1r in 8 patients affected by gastric GIST. Seven patients underwent surgery at diagnosis, whereas one patient was operated after imatinib and sunitinib treatment. Two patients were young (< 30 years old), and other patients ranged between 54 and 85 years. IGF1r was studied as gene expression profiling performed with Affymetrix GeneChip HG-U133 Plus 2.0 arrays, as genomic copy number with SNP array analysis Affymetrix Genome Wide Human SNP 6.0 arrays, and with western blotting (WB) usinganti-IGF-IRβ (Santa Cruz Biotechnology). Results: The unsupervised analysis of gene expression profiling of our patients merged with a data set from a gastric GIST identified two groups with different regulation of IGF1r (FDR threshold to 0.2%). In particular, IGF1r was up-regulated in the two youngest patients (28 and 30 years-old). The SNPs array analysis gene copy number showed that none of the patients bore IGF1r amplification. The quantitative analysis of protein level by WB again showed that only the two youngest patients had an over-expression of IGF1r. In all the other patients the WB analysis was negative. Conclusions: These results suggest that IGF1r seems to be a novel signalling pathway other than KIT and PDGFRA in a subset of GISTs. The young adult patients had a strongly different molecular background in comparison to the other older ones. The correlation between IGF1r and mutational status of KIT and PDGFRA, clinical outcome, treatments responsiveness as well as its role as potential target deserves to be further investigated. No significant financial relationships to disclose.


Author(s):  
Eeva Kettunen ◽  
Anna-Maria Niss�n ◽  
Tiina Ollikainen ◽  
Matti Taavitsainen ◽  
Johanna Tapper ◽  
...  

2003 ◽  
Vol 15 (1) ◽  
pp. 38-42
Author(s):  
Li-jun Sun ◽  
Qiang Huang ◽  
Qing Lan ◽  
Zi-wei Du ◽  
Geng-xi Hu ◽  
...  

2005 ◽  
Vol 17 (1) ◽  
pp. 11-16
Author(s):  
Quan-bin Zhang ◽  
Qiang Huang ◽  
Jun Dong ◽  
Ai-dong Wang ◽  
Ji-yong Sun ◽  
...  

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