ABSTRACT
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.
Subject(s)
Humans , Artificial Intelligence , Big Data , Machine Learning , Precision MedicineABSTRACT
The Rhei Radix et Rhizoma was one of the most widely used traditional Chinese medicine for its special biological activities. The content of rhein, one of its major compounds, was an important standard for the quantity control of Rhei Radix et Rhizoma. The major method used for the detection of rhein was instrumental analysis like HPLC, but it was complex, time-consuming and cannot detect large samples at the same time. The enzyme-linked imunmosorbent assay (ELISA) was accurate, reliable, simple, low costs, and of a high-throughout. Recently, it was widely used for the determination of those small molecule compounds in some traditional Chinese medicinal plants. In this study, an artificial antigen were synthesized by the carbodiimide (CDI) method. Rhein-bovine (rhein-BSA) conju gate and rhein-ovalbumin (rhein-OVA) conjugate, were produced as the immunogen and coating antigen, respectively. The conjugate and the hapten number in the conjugate were determined by UV-Vis spectrophotometry (UV). The conjugation ratio of Rhein and BSA was about 4.0:1, rhein acid and OVA was 2.6 : 1, respectively. Rhein-BSA conjugate was used to immunize Bal b/c mice to produce antiserum. The antiserum titer of the Rhein were higher than 8000 detected by ELISA. The successfully synthesized conjugate antigen rhein-BSA implies its feasibility in the establishment of fast immunoassay for the rhein content determination.
Subject(s)
Animals , Mice , Anthraquinones , Allergy and Immunology , Antibodies , Allergy and Immunology , Antigens, Plant , Allergy and Immunology , Drugs, Chinese Herbal , Enzyme-Linked Immunosorbent Assay , Methods , Mice, Inbred BALB C , Rheum , Chemistry , Allergy and Immunology , Rhizome , Chemistry , Allergy and ImmunologyABSTRACT
The expression of phenylalnine ammonia lyase (LJPAL1) is closely related to the content of active compounds in Lonicera japonica. In this paper, a prokaryotic expression vector is constructed and LJPAL1 protein is expressed in E. coli. Three antigen sites were synthesized to peptide antigen and prepared polyclonal antibody of Anti-LJT-1, Anti-LJT-2 and Anti-LJT-3, separately. Antibody Anti-LJT-2 was screened using Western blotting. And indirect ELISA was built using Anti-LJT-2. The results of this study will be a base for honeysuckle chemical quality and evaluation kits.
Subject(s)
Antibodies , Allergy and Immunology , Metabolism , Antibody Specificity , Blotting, Western , Enzyme-Linked Immunosorbent Assay , Escherichia coli , Genetics , Metabolism , Flowers , Chemistry , Gene Expression Regulation, Plant , Genetic Vectors , Lonicera , Chemistry , Phenylalanine Ammonia-Lyase , Chemistry , Allergy and Immunology , Plants, Medicinal , Chemistry , Plasmids , Protein Structure, Secondary , Protein Structure, TertiaryABSTRACT
A sensitive antibody-based lateral flow dipstick was developed for ginsenoside Re (GRe) detection. The stick consisted of a sample pad, a conjugate pad, membrane and an absorbent pad. The membrane was coated with two capture reagents, GRe-BSA conjugate and goat anti-mouse antibodies, forming a test line and a control line, respectively. The conjugate pad was saturated with colloidal gold particles coated with affinity purified monoclonal anti-GRe antibody. The visual detection limit was 200 microg x L(-1) of GRe and the reaction time was 10 min. The Panax ginseng roots were identified after these samples (10 mg) were extracted with 5 mL tap water for 30 min at room temperature, and the extracts were tested by the dipsticks and ELISA kit. The true and false P. ginseng could be distinguished with dipsticks. The dipstick could be used to detect the quality of the P. ginseng samples when the extract was diluted 100-folds. The results were compared with those obtained using an indirect competitive enzyme-linked immunosorbent assay (icELISA). The dipstick assay proved to be a sensitive and rapid tool for quality control of P. ginseng.