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The micronucleomics test can comprehensively display a variety of harmful endpoints, such as DNA damage and repair, chromosome breakage or loss and cell growth inhibition, with fast, simple and economical feature. Micronucleomics is not only widely used in the comprehensive assessment of the types and modes of genetic action of exogenous chemicals (such as drugs, food additives, cosmetics, environmental pollutants, etc.), but also plays an important role in the screening and risk assessment of cancer population at high risk. However, the traditional micronucleomics image counting method has the characteristics of time-consuming, low accuracy, and high cost, which cannot meet the current analysis requirements of large-scale, multi-index, rapidity, high precision and visualization. In recent years, with the rapid development of the era of precision medicine based on big data, visualized analysis of new micronucleomics based on machine learning and detection strategies based on deep learning have shown a good application prospect. This review, based on the application value of micronucleomics, systematically compares the traditional and new artificial intelligence counting of micronucleus images, and discusses the future direction of micronucleus image detection.
Assuntos
Humanos , Inteligência Artificial , Big Data , Aprendizado de Máquina , Medicina de PrecisãoRESUMO
Objective:To establish a real-time fluorescent quantitative PCR for the detection of torque teno virus types 7 (TTV7), 8 (TTV8) and 10 (TTV10) and analyze its performance in clinical sample detection.Methods:Specific primers were designed based on the gene sequences of TTV7, TTV8 and TTV10 in GenBank. Recombinant plasmids of pMD19-T-TTV7, pMD19-T-TTV8 and pMD19-T-TTV10 were constructed and used as positive standard control to establish a real-time fluorescent quantitative PCR based on FAM-Eclipse probe method. The specificity and sensitivity of the established method were evaluated. Moreover, it was validated in terms of clinical sample detection.Results:The standard curve equations of the real-time fluorescent quantitative PCR for detecting TTV7, TTV8 and TTV10 were y=-0.340 2 x+ 114.780 0 ( R2=0.998 8), y=-0.351 1 x+ 114.940 0 ( R2=0.995 3) and y=-0.348 9 x+ 115.020 0 ( R2=0.991 7), respectively, and there was no cross-reaction with other viruses. The detection sensitivity of the established method for TTV7, TTV8 and TTV10 were 108 copies/μl, 84 copies/μl and 98 copies/μl, and the positive detection rates in clinical pediatric serum samples were 10.9%, 2.1% and 4.3%, respectively. Conclusions:The established real-time fluorescent quantitative PCR for detection of TTV7, TTV8 and TTV10 was featured by strong specificity and high sensitivity, which could be used for rapid TTV detection in clinical serum samples.
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Objective: To study the chemical constituents of flavonoids from Glycyrrhizae Radix et Rhizoma. Methods: The compounds were isolated and purified by column chromatography over HP-20 macroporous resin, silica gel, Sephadex LH-20, and preparative RP-HPLC. Their structures were elucidated by physicochemical properties and spectral analyses. Results: Ten flavonoids were isolated and identified as 4’,6,7-trihydroxy-2’-methoxyl-chalcone (1), 3’,4’,5,7-tetrahydroxy-8-(3-hydroxy-3- methylbutyl)-isoflavone (2), isoliquiritigenin (3), isoliquiritin (4), echinatin (5), orobol (6), ononin (7), 2(S)-3’,5’,7-trihydroxy- flavanone (8), 2(S)-naringenin-4’-O-β-D-glucopyranoside (9), and 4’,7-dihydroxyflavone (10). Conclusion: Compounds 1 and 2 are new compounds named isolicochalcone B and licoisoflavone G, while compound 9 is isolated from the genus for the first time.
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As a renewable clean energy,biodiesel has been the subject of much research in recent years owing to its excellent environmental performance.The bio-enzymatic method possesses unparalleled advantages over conventional chemical catalysis,and it would be the direction in biodiesel industrialization process.The progress and application of three biocatalytic approaches for biodiesel production including immobilized lipase,free lipase and whole-cell catalysis were summerized.Finally,the challenges of biodiesel industrialization in China are analyzed,and some effective measures are put forward.
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<p><b>OBJECTIVE</b>To investigate the protective effects of c-jun antisense gene recombinant transfection on rat cardiomyocytes inflicted by hypoxia and burn serum.</p><p><b>METHODS</b>Cardiomyocytes from Wistar rat were isolated and cultured before being divided into normal control (C), transfection (T) and non-transfection (NT) groups. C-jun antisense gene recombinant was constructed and transfected into cardiomyocytes, which were then treated by hypoxia and burn serum in T group, while those in NT group were simply treated by hypoxia and burn serum. The changes in the c-jun mRNA expression were determined by RT-PCR at 1, 3 and 7 hours after the cardiomyocytes being stimulated, and the changes in the expressions of c-jun protein, troponin-T (TnT) and beta-tubulin were assayed by Western blot. The morphological changes in the cardiomyocytes were observed by LM and EM.</p><p><b>RESULTS</b>1) The expressions of c-jun mRNA and protein in the NT group were increased evidently when compared with those in C and T groups. 2) The expressions of TnT and beta-tubulin in NT group were decreased evidently in contrast to those in C and T groups. In addition, there exhibited evident structural derangement, dissolution and fragmentation to granules of cardiomyocytes in NT group, while the myocardial cytoskeletal structure was well preserved with scarce fragmentation and dissolution in T group.</p><p><b>CONCLUSION</b>Increased expression of c-jun in rat cardiomyocytes resulting in myocardial injury could be induced by combined treatment of hypoxia and burn serum, while c-jun antisense gene recombinant transfection might protect rat cardiomyocytes from injury.</p>