Advances in gene editing technology have spurred considerable progress towards a treatment for Duchenne muscular dystrophy (DMD). Although the disease is rare – affecting roughly 1 in 5,000 male births – its consequences are devastating: patients are confined to wheelchairs at an early age and often succumb to heart or respiratory failure in their twenties or thirties.
Recent drug discoveries promise new treatments and cures for many diseases. However, getting a drug to work, not only in experiments with cells in the lab, but also in the human body, is difficult. One challenge? Getting past the body’s line of defense, the immune system, which fights foreign invaders that make it into the body.
Sample management should move from being an afterthought to become an integral part of the planning and execution of each experiment and research project
Will ddPCR replace qPCR technology?
Amplification efficiency higher than 100% would mean that in each qPCR cycle, more than two copies of the target sequence have been generated.
Is this possible?
How to present the ratio data?
Which are the most probable reasons for a false positive result and how to address the issue?
Researchers often wonder which statistical tests they should use with their qPCR data. Most frequently these questions arise when analysing gene expression data.
The scandal has led to the human community in the EU benefiting from the better labeling of foods!