Single-Step SYBR® Green RT-qPCR
This example method provides a freely adjustable framework for measuring the adaptability of the OneLab environment to workflows from different application fields. It helps to understand various nuances of the code-free, universal protocol designer and provides general indications as to the feasibility of a project. Scripts generally require fine adjustment to correct for variables and support specific labware implementation.
Published by
Andrew Alliance
Version 1, 16 Sep 2022 at 6:44 AM
Quantitative RT-PCR is a powerful tool to investigate gene expression. However, several challenges are encountered by scientists during sample preparation, including pipetting errors and DNA contamination.
OneLab addresses these issues by providing step-by-step guidance for pipetting and traceability, so as to mitigate unnecessary waste of reagents and improved data reproducibility.
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Please note that this is a “Get Started Method”
This example method provides a freely adjustable framework for measuring the adaptability of the OneLab environment to workflows from different application fields. It helps to understand various nuances of the code-free, universal protocol designer and provides general indications as to the feasibility of a project. Scripts generally require fine adjustment to correct for variables and support specific labware implementation.
Protocols
1
One-Step RT-qPCR Sample Preparation
This protocol describes the set-up of a one-step RT-qPCR analysis using SYBR Green detection. Based on Agilent's Brilliant II kit, the workflow involves a sample normalization step followed by the preparation of the reagent mix and the PCR reaction.
Contact info
Published by
Andrew Alliance
Reproducibility and traceability for your laboratory, starting from serial dilution design. Connected devices for your lab, allowing you to run daily experiments with effiiciency. affordable automation. Error-free pipetting. Save your time. save your health.
This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 