Detection and clinical significance of multidrug resistance-1 mRNA in bone marrow cells in children with acute lymphoblastic leukemia by real-time fluorescence quantitative RT-PCR

Objective： Multidrug resistance（MDR） is one of the most important reasons for treatment failure and recurrence of acute leukemia. Its manifestations are different in children with acute lymphoblastic leukemia（ALL） which may be due to different detection methods. This study was to detect the expression of MDR1 mRNA in bone marrow cells of children with ALL by real-time fluorescence- quantitative reverse transcription polymerase-chain reaction（FQ-RT-PCR）, and combine minimal residual desease（MRD） detection by flow cytometry（FCM） and to study their relationship with treatment response and prognosis of ALL. Methods：The MDR1 mRNA levels in bone marrow cells from 67 children with ALL[28 had newly diagnosed disease, 27 had achieved complete remission（CR）, 12 recurrent] and 22 children without leukemia were detected by FQ-RT-PCR. MRD was detected by FCM. The patients were observed for 9-101 months, with a median of 64 months. Results：Standard curves of human MDR1 and GAPDH genes were constructed successfully. MDR1 mRNA was detected in all children with a positive rate of 100%. The mRNA level of MDR1 was similar among the newly diagnosed ALL group, CR group, and control group（P 〉 0.05）, but significantly higher in the recurrence group than that in newly diagnosed disease group and control group（0.50 ± 0.55 vs. 0.09 ± 0.26 and 0.12 ± 0.23, P〈 0.05）. 54 ALL patients were followed up, and it was found that MDR1 mRNA level was significantly higher in ALL patients within 3 years duration than that of ALL patients with 3-6 years and over 6 years duration（0.63 ± 0.56 vs. 0.11 ± 0.12 and 0.04 ± 0.06, P〈 0.01）. For the 28 children with newly diagnosed disease, the MDR1 mRNA level was similar between WBC 〉 50 ~ 109 group and WBC〈50 × 10^9 group（P〉 0.05）. In the 33 CR patients, the MDR1 mRNA level was significantly higher in MRD〉10a group than that in MRD〈10a group（0.39 ± 0.47 vs. 0.03 ± 0.03, P 〈 0.05）. Conclusion：The sensitivity and specificity of FQ-RT-PCR in detecting MDR1 mRNA in bone marrowy cells of children with ALL patients are high. MDR1 mRNA is expressed in children with and without leukemia. MDR1 mRNA is highly expressed in the CR ALL patients with high MRD, recurrence and short duration（within 3 years）. Monitoring MRD and the MDR1 mRNA level might be helpful for individual treatment.

Synchronous Detection of DNA/RNA of Four Shrimp Viruses by Real-time Fluorescence Quantitative RT-PCR

[ Objective] This study aimed to establish a simultaneous detection method of shrimp viruses by real-time fluorescence quantitative RT-PCR, to improve the efficiency of inspection and quarantine. [ Method] A novel real-time fluorescence quantitative RT-PCR assay was established and optimized for simultaneously detecting DNA/RNA of four shrimp viruses （WSSV, IHHNV, TSV and YHV ）. [ Result] The optimized real-time fluorescence quantitative RT-PCR system gener- ated typical amplification curves with high amplification efficiencies （E = 1.06, 1.07, 0.92 and 0.92, respectively）, good hnear relationship （ r = 1 ）, uniform repeatability （ standard deviation = 0.05 - 0.46 ; variation coefficient = 0.26% - 1.62% ） and high sensitivity, exhibiting no significant differences compared with re- al-time fluorescence quantitative PCR （average error of Ct value = 0.04 -0.40; T = 0.53 -2.50; P 〉 0.05 ）. The total detection time was about 1 h. [ Conclusion] The optimized real-time fluorescence quantitative RT-PCR system can be used for rapid detection of WSSV, IHHNV, TSV and YHV.

THE DETECTION OF MDR1 GENE EXPRESSION USING FLUOROGENIC PROBE QUANTITATIVE RT-PCR METHOD

Objective: To establish a fluoregenic probe quantitative RT-PCR (FQ-RT-PCR) method for detection of the expression of MDR1 gene in tumor cells and to investigate the expression of MDR1 gene in patients with lung cancer. Methods: The fluorogenic quantitative RT-PCR method for detection of the expression of MDR1 gene was established. K562/ADM and K562 cell lines or 45 tumor tissues from patients with lung cancer were examined on PE Applied Biosystems 7700 Sequence Detection machine. Results: the average levels of MDR1 gene expression in K562/ADM cells and K562 cells were (6.86±0.65)× 107 copies/μg RNA and (8.49±0.67)×105 copies/μg RNA, respectively. The former was 80.8 times greater than the latter. Each sample was measured 10 times and the coefficient variation (CV) was 9.5% and 7.9%, respectively. Various levels of MDR1 gene expression were detected in 12 of 45 patients with lung cancer. Conclusion: Quantitative detection of MDR1 gene expression in tumor cells was achieved by using FQ-RT-PCR. FQ-RT-PCR is an accurate, and sensitive method and easy to perform. Using this method, low levels of MDR1 gene expression could be detected in 24% of the patients with lung cancer.

The diagnostic significance of the detection of cytokeratin 19 mRNA by quantitative RT-PCR in benign and malignant pleural effusions

Objective: To evaluate the diagnostic significance of detecting cytokeratin 19 (CKI9) mRNA by quantitative reverse transcription polymerase chain reaction (RT-PCR) in benign and malignant pleural effusions. Methods: CK19 mRNA was examined by quantitative RT-PCR and CK19 was detected by Enzyme-linked immunoadsorbent assay (ELISA) in 32 patients with malignant pleural effusions and 35 patients with benign pleural effusions. Results: On the threshold of 200 copies/μl, the positive rate of CK19 mRNA in patients with malignant pleural effusions was 62.5%. The positive rates of CK19 mRNA and CK19 in the malignant pleural effusions were significantly higher than those in the benign group (P<0.01). Furthermore, the positive rate of CK19 mRNA was higher than that of CK19 in the malignant group (P<0.05). Conclusion: Detection of CK19 mRNA can be a promising diagnostic marker in differential diagnosis of benign and malignant pleural effusions.

Reference genes for quantitative RT-PCR data in gastric tissues and cell lines

AIM:To evaluate the suitability of reference genes in gastric tissue samples and cell lines.METHODS:The suitability of genes ACTB,B2M,GAPDH,RPL29,and 18S rRNA was assessed in21 matched pairs of neoplastic and adjacent nonneoplastic gastric tissues from patients with gastric adenocarcinoma,27 normal gastric tissues from patients without cancer,and 4 cell lines using reverse transcription quantitative real-time polymerase chain reaction(RT-qPCR).The ranking of the best single and combination of reference genes was determined by NormFinder,geNorm,BestKeeper,and DataAssist.In addition,GenEx software was used to determine the optimal number of reference genes.To validate the results,the mRNA expression of a target gene,DNMT1,was quantified using the different reference gene combinations suggested by the various software packages for normalization.RESULTS:ACTB was the best reference gene for all gastric tissues,cell lines and all gastric tissues plus cell lines.GAPDH+B2M or ACTB+B2M was the best combination of reference genes for all the gastric tissues.On the other hand,ACTB+B2M was the best combination for all the cell lines tested and was also the best combination for analyses involving all the gastric tissues plus cell lines.According to the GenEx software,2 or 3 genes were the optimal number of references genes for all the gastric tissues.The relative quantification of DNMT1 showed similar patterns when normalized by each combination of reference genes.The level of expression of DNMT1 in neoplastic,adjacent non-neoplastic and normal gastric tissues did not differ when these samples were normalized using GAPDH+B2M(P=0.32),ACTB+B2M(P=0.61),or GAPDH+B2M+ACTB(P=0.44).CONCLUSION:GAPDH+B2M or ACTB+B2M is the best combination of reference gene for all the gastric tissues,and ACTB+B2M is the best combination for the cell lines tested.

Real-time Quantitative RT-PCR for CT9 Level in Human Cancer

CT9 is a recently cloned cancer-testis antigen, which is a member of the bromodomain and extraterminal family. Each member of this protein family contains two N-terminal bromodomain motifs. We investigated the distribution of CT9 in different tissues and the possibility for it to be used as a potential therapeutic target in cancer treament. By using the real-time RT-PCR method and 18SrRNA as an internal standard, we analyzed the CT9 expression in several normal human tissues and in the tissues of patients suffering from cancer. The result of this study shows that the highest level of mRNA is only present in testis tissue because the CT9 expression has not been detected in other normal tissues. In 6 of 10 cases of gastric adenocarcinoma, in 3 of 10 cases of esophageal squamous cell carcinoma, in 2 of 9 cases of endometrial carcinoma and only in 1 of 12 cases of brain cancer, the low level expression of CT9 was detected. In none of the 12 cases of cervical squamous cell carcinoma, the expression of CT9 was detected. Since the high level expression of CT9 is only found in the normal testis tissue, but the low expression in cancer tissues, for example tissues of cervical squamous cell carcinoma, brain cancer, endometfial adenocarcinoma, esophageal squamous cell carcinoma, we conclude that CT9 cannot be used as a cancer therapeutic target molecule for cervical squamous cell carcinoma, brain cancer, endometrial adenocarcinoma, esophageal squamous cell carcinoma.

TaqMan real-time fluorescent quantitative RT-PCR in detection of macrophage inflammatory protein-2γ mRNA in myocarditis murine

Objective: To study the role of macrophage inflammatory protein (MIP)-2γ in myocarditis pathogenesis in BALB/c mice. Methods: The relationship between the progression of Coxsarckie virus B3(CVB3) viral myocarditis and experimental autoimmune myocarditis and MIP-2γ mRNA expression in mouse was studied by TaqMan real-time fluorescent quantitative RT-PCR. Results: MIP-2γ mRNA expression rose on 3 to 5 d after CVB3 infection, reached peak on 7 d, and returned to normal level until 14 d, which corresponded well with the disease course. The MIP-2γ mRNA expression level rose significantly on the day 18 d after immunization with porcine cardiac myosin, which was consistent with pathological examination. Conclusion: MIP-2γ may be involved in the pathogenesis of myocarditis.

Study on Quantitative Precipitation Estimation by Polarimetric Radar Using Deep Learning

Accurate radar quantitative precipitation estimation(QPE)plays an essential role in disaster prevention and mitigation.In this paper,two deep learning-based QPE networks including a single-parameter network and a multi-parameter network are designed.Meanwhile,a self-defined loss function(SLF)is proposed during modeling.The dataset includes Shijiazhuang S-band dual polarimetric radar(CINRAD/SAD)data and rain gauge data within the radar’s 100-km detection range during the flood season of 2021 in North China.Considering that the specific propagation phase shift(KDP)has a roughly linear relationship with the precipitation intensity,KDP is set to 0.5°km^(-1 )as a threshold value to divide all the rain data(AR)into a heavy rain(HR)and light rain(LR)dataset.Subsequently,12 deep learning-based QPE models are trained according to the input radar parameters,the precipitation datasets,and whether an SLF was adopted,respectively.The results suggest that the effects of QPE after distinguishing rainfall intensity are better than those without distinguishing,and the effects of using SLF are better than those that used MSE as a loss function.A Z-R relationship and a ZH-KDP-R synthesis method are compared with deep learning-based QPE.The mean relative errors(MRE)of AR models using SLF are improved by 61.90%,51.21%,and 56.34%compared with the Z-R relational method,and by 38.63%,42.55%,and 47.49%compared with the synthesis method.Finally,the models are further evaluated in three precipitation processes,which manifest that the deep learning-based models have significant advantages over the traditional empirical formula methods.

Simplified quantitative analysis method and its application in the insitu synthesized copper-based azide chips

Copper-based azide(Cu(N_(3))2 or CuN_(3),CA)chips synthesized by in-situ azide reaction and utilized in miniaturized explosive systems has become a hot research topic in recent years.However,the advantages of in-situ synthesis method,including small size and low dosage,bring about difficulties in quantitative analysis and differences in ignition capabilities of CA chips.The aim of present work is to develop a simplified quantitative analysis method for accurate and safe analysis of components in CA chips to evaluate and investigate the corresponding ignition ability.In this work,Cu(N_(3))2 and CuN_(3)components in CA chips were separated through dissolution and distillation by utilizing the difference in solubility and corresponding content was obtained by measuring N_(3)-concentration through spectrophotometry.The spectrophotometry method was optimized by studying influencing factors and the recovery rate of different separation methods was studied,ensuring the accuracy and reproducibility of test results.The optimized method is linear in range from 1.0-25.0 mg/L,with a correlation coefficient R^(2)=0.9998,which meets the requirements of CA chips with a milligram-level content test.Compared with the existing ICP method,component analysis results of CA chips obtained by spectrophotometry are closer to real component content in samples and have satisfactory accuracy.Moreover,as its application in miniaturized explosive systems,the ignition ability of CA chips with different component contents for direct ink writing CL-20 and the corresponding mechanism was studied.This study provided a basis and idea for the design and performance evaluation of CA chips in miniaturized explosive systems.

Artificial Immune Detection for Network Intrusion Data Based on Quantitative Matching Method

Artificial immune detection can be used to detect network intrusions in an adaptive approach and proper matching methods can improve the accuracy of immune detection methods.This paper proposes an artificial immune detection model for network intrusion data based on a quantitative matching method.The proposed model defines the detection process by using network data and decimal values to express features and artificial immune mechanisms are simulated to define immune elements.Then,to improve the accuracy of similarity calculation,a quantitative matching method is proposed.The model uses mathematical methods to train and evolve immune elements,increasing the diversity of immune recognition and allowing for the successful detection of unknown intrusions.The proposed model’s objective is to accurately identify known intrusions and expand the identification of unknown intrusions through signature detection and immune detection,overcoming the disadvantages of traditional methods.The experiment results show that the proposed model can detect intrusions effectively.It has a detection rate of more than 99.6%on average and a false alarm rate of 0.0264%.It outperforms existing immune intrusion detection methods in terms of comprehensive detection performance.

Quantitative hepatitis B core antibody and quantitative hepatitis B surface antigen:Novel viral biomarkers for chronic hepatitis B management

The management of hepatitis B virus(HBV)infection now involves regular and appropriate monitoring of viral activity,disease progression,and treatment response.Traditional HBV infection biomarkers are limited in their ability to predict clinical outcomes or therapeutic effectiveness.Quantitation of HBV core antibodies(qAnti-HBc)is a novel non-invasive biomarker that may help with a variety of diagnostic issues.It was shown to correlate strongly with infection stages,hepatic inflammation and fibrosis,chronic infection exacerbations,and the presence of occult infection.Furthermore,qAnti-HBc levels were shown to be predictive of spontaneous or treatment-induced HBeAg and HBsAg seroclearance,relapse after medication termination,re-infection following liver transplantation,and viral reactivation in the presence of immunosuppression.qAnti-HBc,on the other hand,cannot be relied on as a single diagnostic test to address all problems,and its diagnostic and prognostic potential may be greatly increased when paired with qHBsAg.Commercial qAnti-HBc diagnostic kits are currently not widely available.Because many methodologies are only semi-quantitative,comparing data from various studies and defining universal cut-off values remains difficult.This review focuses on the clinical utility of qAnti-HBc and qHBsAg in chronic hepatitis B management.

Detecting PML-RARα transcript in acute promyelocytic leukemia using real-time quantitative RT-PCR

Background Real-time quantitative RT-PCR （RQ-PCR） assay has become a vital tool to monitor residual disease of leukemia, However, the complexity and standardization of RQ-PCR should never be overlooked and the results should be interpreted cautiously in clinical conditions. We aimed to assess the methodology of RQ-PCR and its clinical applications in monitoring molecular kinetics of 36 newly diagnosed cases of acute promyelocytic leukemia patients with t （15;17） from October 2004 to December 2005.Methods All the TaqMan probe-based RQ-PCR reactions and analysis were performed on an ABI-PRISM 7500 platform, The quantitation of PML-RARα transcripts was represented by the normalized quotient, that is, PML-RARα transcript copies divided by ABL transcript copies, According to induction therapy, the patients were classed into two groups： group 1 （n=23）, three-drug combination including arsenics, all-trans retinoic acid and mitoxantrone; and group 2 （n=13）.two-drug combination from all-trans retinoic acid, arsenics and mitoxantrone.Results The sensitivity of RQ-PCR was 1 per 105 cells and 5 copies of the PML-RARα transcript could be reproducibly detected, No false positive results occurred in 40 non-acute promyelocytic leukemia samples, Optimal amplification efficiency could be attained, which was determined by the slope of the standard curves （slope： -3.2 -- -3.7）. The inter-assay and intra-assay variation coefficients of the method were 1.01% and 0.56% respectively. Although the time to attain hematological complete remission was similar in both groups, the time to achieve molecular remission of group 1 was significantly shorter than that of group 2 （61 days vs 75 days, P=0.034）. The rate of molecular remission within 70 days was higher in group 1 than in group 2 （75.00% vs 38.46%, P=0.036）, Compared with pretreatment, median reduction of the PML-RARα transcript before first consolidation therapy differed significantly between group 1 and group 2 （log scale, 3.15 vs 2.31, P=0.024）, Interestingly, we found that PML-RARα transcript levels temporarily increased in bone marrow （7 patients） and peripheral blood （22 patients） samples of patients during induction therapy in both groups.Conclusions The RQ-PCR assay is reliable for the detection of PML-RARα transcripts. Arsenics, all-trans retinoic acid and mitoxantrone triad induction treatment of acute promyelocytic leukemia is superior to two-drug combination induction therapy in terms of the molecular response.

蓝舌病新疆分离株VP7蛋白编码基因序列分析及一步法RT-PCR方法的建立

【目的】分析蓝舌病新疆分离株编码VP7蛋白S7基因保守序列,建立蓝舌病新疆分离株一步法RT-PCR方法,为新疆BTV分子流行病学调查及防控提供技术支持。【方法】采用二代测序技术获得新疆分离株S7基因序列,登陆GenBank对序列进行同源性Blast比对,用软件MEGA 5.0分析序列差异,根据蓝舌病新疆分离株编码VP7蛋白S7基因保守序列,运用软件Oligo6.0设计引物,对蓝舌病新疆分离株S7基因进行RT-PCR扩增,并验证该方法的特异性及敏感性。【结果】蓝舌病中国新疆分离株编码VP7蛋白S7基因序列与哈尔滨报道BTV分离株S7基因片段相似度较高为89.64%,与中国云南报道BTV-29型分离株、蒙古国BTV分离株S7基因片段相似度分别为87.49%和87.39%;与德国BTV分离株S7基因片段相似度为80.70%,其余均无同源性序列。中国新疆分离株S7基因片段序列与4条同源序列间存在26处核苷酸差异,9处氨基酸差异。【结论】建立的蓝舌病中国新疆分离株S7基因片段一步法RT-PCR方法具有良好的特异性,仅BTV中国新疆分离株扩增获得目的条带,该方法的敏感性为4.0×10^(3)copies/mL。

A quantitative RT-PCR assay for rapid detection of Eurasianlineage H10 subtype influenza A virus

Dear Editor,Influenza A viruses(IAVs)are single-stranded,negative sense RNA viruses.IAV subtype is determined on the basis of the viral surface glycoproteins,hemagglutinin(HA),and neuraminidase(NA).To date,18 HA and 11NA subtypes have been reported(Tong et al.,2012).

Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data

The Gated Recurrent Unit(GRU) neural network has great potential in estimating and predicting a variable. In addition to radar reflectivity(Z), radar echo-top height(ET) is also a good indicator of rainfall rate(R). In this study, we propose a new method, GRU_Z-ET, by introducing Z and ET as two independent variables into the GRU neural network to conduct the quantitative single-polarization radar precipitation estimation. The performance of GRU_Z-ET is compared with that of the other three methods in three heavy rainfall cases in China during 2018, namely, the traditional Z-R relationship(Z=300R1.4), the optimal Z-R relationship(Z=79R1.68) and the GRU neural network with only Z as the independent input variable(GRU_Z). The results indicate that the GRU_Z-ET performs the best, while the traditional Z-R relationship performs the worst. The performances of the rest two methods are similar.To further evaluate the performance of the GRU_Z-ET, 200 rainfall events with 21882 total samples during May–July of 2018 are used for statistical analysis. Results demonstrate that the spatial correlation coefficients, threat scores and probability of detection between the observed and estimated precipitation are the largest for the GRU_Z-ET and the smallest for the traditional Z-R relationship, and the root mean square error is just the opposite. In addition, these statistics of GRU_Z are similar to those of optimal Z-R relationship. Thus, it can be concluded that the performance of the GRU_ZET is the best in the four methods for the quantitative precipitation estimation.

帕利亚姆病毒实时荧光定量RT-PCR检测方法的建立与应用

本研究拟建立帕利亚姆病毒(Palyam virus,PALV)血清型特异性实时荧光定量RT-PCR(qRT-PCR)方法用于临床样本或媒介中PALV血清型鉴定。根据我国流行PALV毒株的基因节段2序列,设计扩增引物和TaqMan探针,建立PALV血清型特异型qRT-PCR方法,对方法的特异性、灵敏性与重复性进行评估;以我国分离的28株PALV和90份核酸阳性血液样本评估检测方法的可靠性;利用建立的方法对采集库蠓样本中携带的PALV进行血清型鉴定。结果显示,建立的PALV血清型qRT-PCR检测方法具有良好的特异性与灵敏性,可检出核酸拷贝数下限在22至28 copies·μL^(-1)。对28株PALV的qRT-PCR检测结果与病毒测序鉴定结果一致;对PALV不同感染阶段哨兵动物血液(90份)中的qRT-PCR鉴定结果与分离病毒的血清型鉴定结果一致;建立的方法可准确鉴定库蠓中携带PALV的血清型。本研究建立的PALV血清型qRT-PCR定型方法具有良好的特异强、敏感性与重复性,可用于PALV感染动物与媒介中PALV血清型的鉴定,具有良好的应用价值。

鸽微RNA病毒实时荧光定量RT-PCR检测方法的建立

旨在建立鸽微RNA病毒(pigeon megrivirus,PiMeV)实时荧光定量RT-PCR检测方法。本研究根据GenBank中PiMeVs序列特征设计特异性检测引物,从信鸽粪便中检测到PiMeV阳性(命名为PiMeV-CHN001株),并对其3 C基因进行核苷酸同源性比较和遗传进化分析,明确其基因特征后,设计特异性实时荧光定量RT-PCR检测(RT-qPCR)引物组,建立检测PiMeV的RT-qPCR方法。结果显示:PiMeV-CHN001株3 C基因全长为591 bp,编码197个氨基酸,和其他2株野鸽源PiMeV(MeV-B1株和MeV-B2株)核苷酸相似性分别为89.5%和92.0%。建立的检测PiMeV的RT-qPCR方法的标准曲线Y轴截距为37.93,斜率为-3.335,相关系数为1.00,扩增效率为99.4%。特异性强,仅PiMeV出现特异性扩增信号和特异性峰值[Tm值为(81.69±0.22)℃],对鸽源禽流感病毒(avian influenza virus,AIV)、鸽源禽I型副黏病毒(pigeon paramyxovirus type I,PPMV-1)、鸽输血传播病毒(pigeon torque teno virus,PTTV)、鸽腺病毒(pigeon adenovirus,PiAd)及鸽圆环病毒(pigeon circovirus,PiCV)检测均未见特异性扩增信号;敏感性优,最低检测限为54.0拷贝·μL^(-1);重复性好,批内和批间变异系数均低于1.5%。用建立的检测方法对42份信鸽粪便样品进行检测,发现2份阳性样品(阳性率为4.76%)。本研究首次证实我国大陆地区信鸽中存在PiMeV,丰富了PiMeV宿主谱信息;建立的RT-qPCR方法为后续开展PiMeV流行病学研究提供支撑。

Deep learning assisted variational Hilbert quantitative phase imaging

We propose a high-accuracy artifacts-free single-frame digital holographic phase demodulation scheme for relatively lowcarrier frequency holograms-deep learning assisted variational Hilbert quantitative phase imaging(DL-VHQPI).The method,incorporating a conventional deep neural network into a complete physical model utilizing the idea of residual compensation,reliably and robustly recovers the quantitative phase information of the test objects.It can significantly alleviate spectrum-overlapping-caused phase artifacts under the slightly off-axis digital holographic system.Compared to the conventional end-to-end networks(without a physical model),the proposed method can reduce the dataset size dramatically while maintaining the imaging quality and model generalization.The DL-VHQPI is quantitatively studied by numerical simulation.The live-cell experiment is designed to demonstrate the method's practicality in biological research.The proposed idea of the deep learning-assisted physical model might be extended to diverse computational imaging techniques.

山羊地方性鼻内肿瘤病毒TaqMan荧光定量RT-PCR检测方法的建立及应用

山羊地方性鼻内肿瘤(enzootic nasal tumor, ENT)是山羊的病毒性传染病,由山羊地方性鼻内肿瘤病毒(enzootic nasal tumor virus of goats, ENTV-2)所引起,感染后可以导致山羊的鼻道筛骨上皮细胞发生不可逆的癌变,已在世界范围内广泛存在,对山羊养殖业造成严重的经济损失。为建立快速、准确且能定量分析ENTV-2的检测方法,本研究根据GenBank上发布的ENTV-2 env基因(MT254061.1)保守区域设计引物和TaqMan探针,建立ENTV-2 TaqMan探针荧光定量RT-PCR检测方法,并对其特异性、灵敏性、重复性与临床检测效果进行验证。结果显示,重组质粒标准品模板浓度为6.30×10^(2)~6.30×10^(7) copies·μL^(-1)呈现良好的线性关系,相关系数R^(2)为0.996 5,扩增效率为110%,线性方程的斜率为-2.953,最低检测限度为6.30×10^(1) copies·μL^(-1);组内变异系数和组间变异系数均小于2%,重复性好;与口蹄疫病毒((foot-and-mouth disease virus, FMDV)、小反刍兽疫病毒(peste des petits ruminants virus, PPRV)、蓝舌病毒(bluetongue virus)、羊内源性逆转录病毒(endogenous retroviruses)等均无交叉反应,表明该方法具有很好的特异性。利用本研究所建立的TaqMan探针实时荧光定量RT-PCR检测方法对29份临床样品进行检测,该方法较普通PCR方法的检出率更高。综上表明,本研究成功建立了ENTV-2 TaqMan探针实时荧光定量RT-PCR检测方法,为ENTV-2的快速诊断和流行病学调查提供技术手段。