Bio-Rad has sponsored the development of
this site to advance the productivity of the American Biotechnology sector and the fine people who
work in it across the country. We invite readers to contribute content:
posters, tools, research and presentations, articles white papers, multimedia, music
downloads and entertainment, conference announcements, videos. Please contact email@example.com more information.
Download the Protein Blotting Guide
Download the Stem Cell Guide for Life Science Researchers
:: Posted by American Biotechnologist on 12-05-2011
As a follow up to Bio-Rad’s acquisition of QuantaLife, we are proud to present the following educational training video: “An Introduction to Droplet Digital PCR”, given by award winning field application specialist Dr. Sean Taylor.
Be sure to stay tuned for the advanced training video which will be posted in the near future.
:: Posted by American Biotechnologist on 08-24-2011
Some of the technical challenges in qPCR research can be traced back to the reverse transcription step and the synthesis of cDNA for qPCR analysis.
Limitations in the maximum amount of template RNA that can be added to an RT reaction make it tougher to detect low-abundant target genes and limits the amount of data that can be obtained from a typical 20ul RT reaction.
:: Posted by American Biotechnologist on 08-10-2011
In the past, we’ve discussed the importance of selecting appropriate reference genes for your qPCR experiment (also see point 7 of the MIQE guideline checklist). This means that it is important to select genes that do NOT exhibit any changes in expression under the treatment conditions you are studying. This is easier said than done!
“Once upon a time” everyone used either beta actin, 18s, or gapdh as reference genes. Their expression never changes, right? Wrong! So which genes should you choose? If you try to figure it out using previous papers, how do you know that they’ve chosen the correct genes? If you run a few genes side-by-side and try to compare their expression both under treatment and control, which one should you set as the baseline and which one can you say is for sure moving (it’s all relative isn’t it)?
One of my twitter friends told me that she uses six reference genes in her qPCR experiments. I used to use two. That got me thinking…how many reference genes does the “average” lab use? Please help satisfy my curiosity by participating in the poll below!