Tweet
Has anyone used TruSeq RNA or NEBNext RNA kits and tried to scale the volumes down or up? Is this even possible? Just curious to see if I can add more to generate more libraries, or less to proportionally add less RNA input.
-
-
Scaling up a reaction volume will not result in more library, unless you scale up the input accordingly. Pretty much all NGS kits should already get you much more library than you need for sequencing if you use the highest recommended input, so there wouldn't be much point in scaling up a reaction, in my opinion.
Scaling down a reaction could be performed, but it probably will not allow you to go below the recommended input. The biggest advantage of scaling down is saving money. Scaling down may require some slight optimization, but if you have a lot of samples to prep it may be worth the optimization if you can make a kit last twice as long.
-
Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
...Today, 11:10 AM -
Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.
There is no single reason why many patients don’t respond to treatment as expected. Cancer is...Yesterday, 05:17 AM -
Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.07-01-2026, 11:43 AM
Comment