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Does anyone use Fluidigm C1 instrument on cells using DNASeq script and final library prep for NGS? Our lab has followed their published protocol using a control cancer cell line & we haven't got good alignment of reads across all chromosomes and have run into some other technical issues that makes us think the WGA used on the C1 isn't that good. Part of the problem is that nearly all the published papers use C1 for RNA-Seq while there are very few DNA-Seq papers out there.
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Every WGA method isn't that good. -
Do you use the C1 NextGenSeq? Fluidigm gives the illustra WGA kit as their choice. When using that, it doesn't work to evenly amplify the template. Does anyone use another kit than the one Fluidigm recommends in their protocol or another process that would be better to perform DNA Seq on single cells?Comment
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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.
...07-09-2026, 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...07-08-2026, 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
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