Assessment of HER-2 gene overexpression in Isfahan province breast cancer patients using Real Time RT-PCR and immunohistochemistry

Purpose

Overexpression of proto-oncogene HER-2 is one of the main molecular markers of breast cancer involved in prognosis and diagnosis and also in trastuzumab therapy. Thus, a request for the evaluation of HER-2 status in breast cancer has been increasing. The aim of our study was assessment of HER-2 overexpression in malignant and benign breast cancer specimens by Real Time RT-PCR technique and comparison of its results with IHC outcomes.

Methods

Twenty benign and sixty malignant breast cancers in addition to fifteen normal breast tissue specimens were analyzed by Real Time RT-PCR method. Fresh tissue samples were disrupted by mortar and pestle. A syringe and a needle were used for complete homogenization of the tissues. The RNA was then isolated from the samples and converted to cDNA. A standard curve was initially plotted using BioEasy SYBR Green I and then all 95 specimens were studied by Real Time RT-PCR using 2^− ΔΔCt method.

Results

23.3% of 60 malignant specimens showed HER-2 overexpression, while all of the benign samples represented the normal expression level of HER-2 gene. The concordance rate between the results of Real Time RT-PCR and IHC was 86.6%.

Conclusion

Real Time RT-PCR method is an almost reliable technique and at least can be used as a complementary method for confirming IHC results. This is emanated from relatively high rate of concordance between outcomes of IHC test, as a routine method of detecting the HER-2 gene expression status, and Real Time RT-PCR technique.     

Molecular cloning and characterization of an Hsp90/70 organizing protein gene from Frankliniella occidentalis (Insecta: Thysanoptera,Thripidae)

The heat shock 90/70 organizing protein (Hop), also known as Sti-1 (stress-induced protein-1), is a co-chaperone that usually mediates the interaction of Hsp90 and Hsp70 and has been extensively characterized in mammals and plants. However, its role in insects remains unknown. In the present study, we isolated and characterized a Hop homologue gene from Frankliniella occidentalis (Fohop). The Fohop contains a 1659 bp ORF encoding a protein of 552 amino acids with a caculated molecular mass of approximately 62.25 kDa, which displays a reasonable degree of identity with the known Hops and shares several canonical motifs, including three tetratricopeptide repeated motif domains (TPR1, TPR2A and TPR2B) and two aspartic acid–proline (DP) repeat motifs (DP1 and DP2). As in other hops, Fohop contains introns, but the number and the position are quite variable. The mRNA expression patterns indicated that Fohop was constitutively expressed throughout the developmental stages, but was obviously upregulated by heat stress both in larvae and adults. Our studies imply that Hop, as in other Hsps, may play an important role in heat shock response of F. occidentalis.     

Estimation of Free Energy Systematic Errors in Molecular Simulations of Globular Proteins Surrounded by Finite Water Clusters. One Center Multipole Expansion of Reaction Field Differences

Free energy calculated in simulations on the atomic level (Monte Carlo or Molecular Dynamics) has a systematic error, if the water shell surrounding a globular protein is finite. The error (“cluster error”) is equal to a difference of free energies obtained in simulations with an infinite and finite water shell. In this work a continuum dielectric model was used to estimate the “cluster error”. A multipole expansion of the estimate was performed for a water shell with a spherical outer boundary. The expansion has very simple form. Each term is a product of two functions, one of them depending only on the charge's conformation, and the other one only on dielectric properties of the system. There are two practical uses of the expansion. First, it may be used to estimate the “cluster error” in a simulation already made; second, it may be used to plan a simulation in such a way that the “cluster error” is minimal. Numerical values of the largest terms in the multipole expansion corresponding to a typical system in simulations of globular proteins are given.     

THE EFFECT OF 40 HOURS OF CONSTANT WAKEFULNESS ON NUMBER COMPARISON PERFORMANCE

We investigated the effects of sleep loss and circadian rhythm on number comparison performance. Magnitude comparison of single-digits is robustly characterized by a distance effect: Close numbers (e.g., 5 versus 6) produce longer reaction times than numbers further apart (e.g., 2 versus 8). This distance effect is assumed to reflect the difficulty of a comparison process based on an analogous representation of general magnitude. Twelve male participants were required to stay awake for 40?h in a quasi-constant-routine protocol. Response speed and accuracy deteriorated between 00:00 and 06:00?h but recovered afterwards during the next day, indicating a circadian rhythm of elementary cognitive function (i.e., attention and speed of mental processing). The symbolic distance effect, however, did not increase during the nighttime, indicating that neither cumulative sleep loss nor the circadian clock prolongs numerical comparison processes. The present findings provide first evidence for a relative insensitivity of symbolic magnitude processing against the temporal variation in energy state. (Author correspondence: michael.steinborn@uni-tuebingen.de)     

二斑叶螨抗螺螨酯品系GST基因的克隆与表达分析

【目的】揭示二斑叶螨Tetranychus urticae对螺螨酯的分子抗性机理。【方法】利用RT-PCR克隆了二斑叶螨的谷胱甘肽-S-转移酶（glutathione S-transferase, GST)基因 cDNA 全长序列, 采用生物信息学软件分析了克隆基因的编码蛋白特性; 利用实时荧光定量PCR 方法分析GST基因在二斑叶螨的螺螨酯抗性与敏感品系中的表达差异。【结果】克隆获得的谷胱甘肽-S-转移酶2个基因分别被命名为TuGSTd1和TuGSTd2 (GenBank登录号分别为： KC445659和KC445660)。序列分析发现, TuGSTd1的开放阅读框长度为648 bp, 编码215个氨基酸, 分子量约为24.47 kDa, 理论等电点为5.49; TuGSTd2的开放阅读框为648 bp, 编码215个氨基酸, 分子量约为24.57 kDa, 理论等电点为6.33。系统发育分析表明这两个基因与桔全爪螨Panonychus citri Delta家族的GST基因的氨基酸序列一致性为93%。实时荧光定量PCR 结果表明, TuGSTd1和TuGSTd2在二斑叶螨抗螺螨酯品系中的相对表达量分别为敏感品系的5.60和3.75 倍。【结论】 GST基因在二斑叶螨抗螺螨酯品系中的相对表达量均显著高于敏感品系, 据此推测GST基因的过量表达可能与其对螺螨酯的抗性形成有关。     

In vitro regulatory models for systems biology

The reductionist approach has revolutionized biology in the past 50 years. Yet its limits are being felt as the complexity of cellular interactions is gradually revealed by high-throughput technology. In order to make sense of the deluge of “omic data”, a hypothesis-driven view is needed to understand how biomolecular interactions shape cellular networks. We review recent efforts aimed at building in vitro biochemical networks that reproduce the flow of genetic regulation. We highlight how those efforts have culminated in the rational construction of biochemical oscillators and bistable memories in test tubes. We also recapitulate the lessons learned about in vivo biochemical circuits such as the importance of delays and competition, the links between topology and kinetics, as well as the intriguing resemblance between cellular reaction networks and ecosystems.     

Molecular Differentiation of Schistosoma japonicum and Schistosoma mekongi by Real-Time PCR with High Resolution Melting Analysis

Human schistosomiasis caused by Schistosoma japonicum and Schistosoma mekongi is a chronic and debilitating helminthic disease still prevalent in several countries of Asia. Due to morphological similarities of cercariae and eggs of these 2 species, microscopic differentiation is difficult. High resolution melting (HRM) real-time PCR is developed as an alternative tool for the detection and differentiation of these 2 species. A primer pair was designed for targeting the 18S ribosomal RNA gene to generate PCR products of 156 base pairs for both species. The melting points of S. japonicum and S. mekongi PCR products were 84.5±0.07℃ and 85.7±0.07℃, respectively. The method permits amplification from a single cercaria or an egg. The HRM real-time PCR is a rapid and simple tool for differentiation of S. japonicum and S. mekongi in the intermediate and final hosts.     

Cryptosporidium hominis Infection Diagnosed by Real-Time PCR-RFLP

There are approximately 20 known species of the genus Cryptosporidium, and among these, 8 infect immunocompetent or immunocompromised humans. C. hominis and C. parvum most commonly infect humans. Differentiating between them is important for evaluating potential sources of infection. We report here the development of a simple and accurate real-time PCR-based restriction fragment length polymorphism (RFLP) method to distinguish between C. parvum and C. hominis. Using the CP2 gene as the target, we found that both Cryptosporidium species yielded 224 bp products. In the subsequent RFLP method using TaqI, 2 bands (99 and 125 bp) specific to C. hominis were detected. Using this method, we detected C. hominis infection in 1 of 21 patients with diarrhea, suggesting that this method could facilitate the detection of C. hominis infections.