1.A biosensor assay for the detection of Mycobacterium avium subsp. paratuberculosis in fecal samples.
Vijayarani KUMANAN ; Sam R NUGEN ; Antje J BAEUMNER ; Yung Fu CHANG
Journal of Veterinary Science 2009;10(1):35-42
A simple, membrane-strip-based lateral-flow (LF) biosensor assay and a high-throughput microtiter plate assay have been combined with a reverse transcriptase polymerase chain reaction (RT-PCR) for the detection of a small number (ten) of viable Mycobacterium (M.) avium subsp. paratuberculosis (MAP) cells in fecal samples. The assays are based on the identification of the RNA of the IS900 element of MAP. For the assay, RNA was extracted from fecal samples spiked with a known quantity of (101 to 106) MAP cells and amplified using RT-PCR and identified by the LF biosensor and the microtiter plate assay. While the LF biosensor assay requires only 30 min of assay time, the overall process took 10 h for the detection of 10 viable cells. The assays are based on an oligonucleotide sandwich hybridization assay format and use either a membrane flow through system with an immobilized DNA probe that hybridizes with the target sequence or a microtiter plate well. Signal amplification is provided when the target sequence hybridizes to a second DNA probe that has been coupled to liposomes encapsulating the dye, sulforhodamine B. The dye in the liposomes provides a signal that can be read visually, quantified with a hand-held reflectometer, or with a fluorescence reader. Specificity analysis of the assays revealed no cross reactivity with other mycobacteria, such as M. avium complex, M. ulcerans, M. marium, M. kansasii, M. abscessus, M. asiaticum, M. phlei, M. fortuitum, M. scrofulaceum, M. intracellulare, M. smegmatis, and M. bovis. The overall assay for the detection of live MAP organisms is comparatively less expensive and quick, especially in comparison to standard MAP detection using a culture method requiring 6-8 weeks of incubation time, and is significantly less expensive than real-time PCR.
Animals
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Bacteriological Techniques
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Biosensing Techniques/*veterinary
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Cattle
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Feces/*microbiology
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Mycobacterium avium subsp. paratuberculosis/*isolation & purification
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RNA, Bacterial/classification/isolation & purification
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Reverse Transcriptase Polymerase Chain Reaction/veterinary
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Sensitivity and Specificity
2.Serum amyloid A protein: a potential biomarker correlated with clinical stage of lung cancer.
Dan-Hui LIU ; Xiao-Min WANG ; Li-Juan ZHANG ; Song-Wei DAI ; Li-Yun LIU ; Ji-Fu LIU ; Shan-Shan WU ; Shuan-Ying YANG ; Sam FU ; Xue-Yuan XIAO ; Da-Cheng HE
Biomedical and Environmental Sciences 2007;20(1):33-40
OBJECTIVETo identify serum diagnosis or progression biomarkers in patients with lung cancer using protein chip profiling analysis.
METHODProfiling analysis was performed on 450 sera collected from 213 patients with lung cancer, 19 with pneumonia, 16 with pulmonary tuberculosis, 65 with laryngeal carcinoma, 55 with laryngopharyngeal carcinoma patients, and 82 normal individuals. A new strategy was developed to identify the biomarkers on chip by trypsin pre-digestion.
RESULTSProfiling analysis demonstrated that an 11.6 kDa protein was significantly elevated in lung cancer patients, compared with the control groups (P < 0.001). The level and percentage of 11.6 kDa protein progressively increased with the clinical stages I-IV and were also higher in patients with squamous cell carcinoma than in other subtypes. This biomarker could be decreased after operation or chemotherapy. On the other hand, 11.6 kDa protein was also increased in 50% benign diseases of lung and 13% of other cancer controls. After trypsin pre-digestion, a set of new peptide biomarkers was noticed to appear only in the samples containing a 11.6 kDa peak. Further identification showed that 2177 Da was a fragment of serum amyloid A (SAA, MW 11.6 kDa). Two of the new peaks, 1550 Da and 1611 Da, were defined from the same protein by database searching. This result was further confirmed by partial purification of 11.6 kDa protein and MS analysis.
CONCLUSIONSAA is a useful biomarker to monitor the progression of lung cancer and can directly identify some biomarkers on chip.
Adenocarcinoma ; blood ; pathology ; Adult ; Aged ; Biomarkers, Tumor ; blood ; Carcinoma, Small Cell ; blood ; pathology ; Carcinoma, Squamous Cell ; blood ; pathology ; Female ; Humans ; Lung Neoplasms ; blood ; pathology ; Male ; Middle Aged ; Neoplasm Staging ; Peptides ; blood ; Protein Array Analysis ; Serum Amyloid A Protein ; analysis