FG,KIT RNA-TO-CT 1-STEP TAQMAN

描述

The Applied Biosystems® TaqMan® RNA-to-CT™ 1-Step Kit delivers consistent RNA target quantification for a wide variety of assays and is validated with Applied Biosystems® comprehensive library of TaqMan® Gene Expression assays. The TaqMan® RNA-to-CT™ 1-Step Kit is recommended for a variety of applications including general gene expression studies, biomarker discovery, and microarray validation.
• Accurate across a wide dynamic range for dependable performance 
• High sensitivity, enabling low copy number detection and precise quantification 
• Validated with TaqMan® Gene Expression Assays for easy experimental setup
• Consistent performance with a wide variety of targets, including AT-rich, GC-rich and long sequences
• Fewer pipetting steps means less hands-on-time and less chance for errors

Efficiency across a Broad Range of Input Concentrations<br><br> maximum="" flexibility="" in="" rna="" template="" input="" quantity="" requires="" optimal="" real-time="" pcr="" efficiency="" across="" a="" broad="" range="" of="" quantities.="" figure="" 1="" shows="" the="" excellent="" amplification="" six="" orders="" magnitude.="" result="" is="" comparable="" to="" that="" taqman&reg;="" rna-to-cT™ 2-Step Kit, and is a significant improvement in dynamic range and sensitivity over the TaqMan® One-Step RT-PCR Master Mix Reagents.

High Sensitivity at Low Target Concentration

The sensitivity of TaqMan® RNA-to-CT™ 1-Step Kit was validated using a synthetic RNA template for which copy number is precisely known. Significant sampling error occurs when measuring low quantities of target, so statistical analysis is required for proper evaluation using multiple replicates. Figure 2 shows the expected quantity of target and corresponding mean CT values. Statistical analysis indicates high confidence of sample quantification based on a T-test (Table I), consistent with as few as 10 copies of target.

For Research Use Only. Not for use in diagnostic procedures.

Figures

Wide dynamic range

High confidence of sample quantification based on a t-test

Mean Ct values