scholarly journals Detection and Localization of Anti and Pro-apoptotic mRNA Genes in Human Colorectal Cancer Using in situ RT-PCR

2010 ◽  
Vol 6 (3) ◽  
pp. 164-171
Author(s):  
Salleh
1998 ◽  
Vol 46 (5) ◽  
pp. 653-660 ◽  
Author(s):  
Francine M. Walker ◽  
Marie-Christine Dazza ◽  
Marie-Christine Dauge ◽  
Olivier Boucher ◽  
Christophe Bedel ◽  
...  

Hepatitis C virus (HCV) detection in the livers of chronically infected patients remains a debatable issue. We used immunohistochemistry, in situ hybridization (ISH) alone or after microwave heating with FITC-labeled probes, RT-PCR with unlabeled primers followed by ISH (RT-PCR-ISH), and in situ RT-PCR with FITC-labeled primers (in situ RT-PCRd) to localize the virus in 38 liver biopsy specimens from 21 chronically infected HCV patients treated with interferon-α (IFN-α). Biopsies were taken at the beginning and end of IFN-α treatment and 1 year later. Results were compared with that of HCV-PCR in serum. RT-PCR-ISH and in situ RT-PCRd showed HCV signal in all liver biopsies even in responders with seronegative HCV PCR. This signal was intranuclear, diffuse, or peripheral, in hepatocytes, bile ductule cells, and lymphocytes. Cytoplasmic signals were occasionally observed. Whereas the percentage of labeled hepatocytes remained constant, the number of labeled lymphoid follicles decreased after INF-α therapy. Immunohistochemistry resulted in the same pattern of positivity but it was weaker and inconstant. This study indicates the persistency of HCV latency in IFN-α responders 1 year after IFN-α treatment cessation, a finding that certainly deserves confirmation.


2000 ◽  
Vol 436 (2) ◽  
pp. 109-114 ◽  
Author(s):  
N. Yagihashi ◽  
H. Kasajima ◽  
S. Sugai ◽  
K. Matsumoto ◽  
Y. Ebina ◽  
...  

2007 ◽  
Vol 25 (6) ◽  
pp. 393-396 ◽  
Author(s):  
Yuanming Lu ◽  
Qingcheng Yang ◽  
Yuzhen Du ◽  
Gao Feng ◽  
Cuixia Yang

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 3611-3611
Author(s):  
M. Han ◽  
C. T. Liew ◽  
H. W. Zhang ◽  
K. T. Yip ◽  
Z. Y. Song ◽  
...  

3611 Background: Human colorectal cancer (CRC) is the second leading cause of cancer-related death in the United States, and early detection is critical to improve prognosis. To date, we have applied our unique methodology (the Sentinel Principle) to identify blood-based gene expressed biomarkers for several diseases including osteoarthritis, bladder cancer and psychiatric disorders. In the present CRC study, we identified gene signatures from blood cells and characterized a set of biomarkers able to differentiate patients with CRC from controls. Methods: Microarray: 31 blood RNA sample (15 controls; 16 CRC) were profiled using Affymetrix U133Plus2.0 GeneChips. Differentially expressed genes were identified using the non-parametric, Wilcoxon-Mann-Whitney test. SYBR Green real-time RT-PCR: a subset of identified genes was assayed using 115 samples (57 controls; 58 CRC). Logistic regression was used to assess the ability of linear combinations of specific transcripts to distinguish CRC from controls. The diagnostic power for each combination was evaluated by AUC of the Receiver Operating Characteristic (ROC) curve. Blind Test: 83 samples were assayed (45 controls and 38 CRC). Results: Microarray data: 2,779 probes were significantly different in blood gene expression profiles from controls and those from CRC (p<0.05). Real-time RT-PCR: Two up-regulated genes (cytidine deaminase, 1.3 fold with p<0.001; MGC20553 /FERM domain containing 3, 1.2 fold with p=0.031) and three down-regulated genes were validated (B-cell scaffold protein with ankyrin repeats 1, 0.43 fold with p<0.001; B-cell novel protein 1, 0.44 fold with p<0.001; membrane-spanning 4-domains, subfamily A, member 1, 0.44 with p<0.001). Combination analysis: The AUC was 0.883 (95%, C.I. 0.810–0.935) for the best linear combination of these 5 genes. At a cut-off of -1.1, the sensitivity and specificity were 98% and 51%, respectively. Blind Test: The 5-gene set gave sensitivity of 95% (36/38) and specificity of 42% (19/45) with an overall accuracy of 66%. Conclusions: Gene expression signatures from peripheral blood differentiate between CRC patients and controls. The five-gene panel showed high classification performance and could be used as a novel screening tool for CRC. [Table: see text]


2018 ◽  
Vol 7 (1) ◽  
pp. 121-134 ◽  
Author(s):  
Shu Lin ◽  
Lin Zhao ◽  
Xinyue Song ◽  
Jing Zhang ◽  
Yan Wang ◽  
...  

2008 ◽  
Vol 84 (4) ◽  
pp. 981-987 ◽  
Author(s):  
Franck Pagès ◽  
Jérôme Galon ◽  
Wolf H. Fridman

Author(s):  
J. R. Hully ◽  
K. R. Luehrsen ◽  
K. Aoyagi ◽  
C. Shoemaker ◽  
R. Abramson

The development of PCR technology has greatly accelerated medical research at the genetic and molecular levels. Until recently, the inherent sensitivity of this technique has been limited to isolated preparations of nucleic acids which lack or at best have limited morphological information. With the obvious exception of cell lines, traditional PCR or reverse transcription-PCR (RT-PCR) cannot identify the cellular source of the amplified product. In contrast, in situ hybridization (ISH) by definition, defines the anatomical location of a gene and/or it’s product. However, this technique lacks the sensitivity of PCR and cannot routinely detect less than 10 to 20 copies per cell. Consequently, the localization of rare transcripts, latent viral infections, foreign or altered genes cannot be identified by this technique. In situ PCR or in situ RT-PCR is a combination of the two techniques, exploiting the sensitivity of PCR and the anatomical definition provided by ISH. Since it’s initial description considerable advances have been made in the application of in situ PCR, improvements in protocols, and the development of hardware dedicated to in situ PCR using conventional microscope slides. Our understanding of the importance of viral latency or viral burden in regards to HIV, HPV, and KSHV infections has benefited from this technique, enabling detection of single viral copies in cells or tissue otherwise thought to be normal. Clearly, this technique will be useful tool in pathobiology especially carcinogenesis, gene therapy and manipulations, the study of rare gene transcripts, and forensics.


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