Has anyone had any luck trying to quantify Nextera XT libraries using qPCR? I have tried it twice with no success. I have been able to quantify TruSeq libraries and they have been working just right. It looks like primer sequences are correct, so I don't know what could be causing the problem.
Unconfigured Ad
Collapse
X
-
Yes, we got a library, already normalized and eluted as single strands using the kit protocol. The protocol called for us to just heat denature it, snap cool and immediately load into the reagent cassette for sequencing. But we did a KAPA qPCR kit (not the Illumina-specific kit, just the generic one) using normal flow cell oligo primers. The result looked fairly reasonable, so we proceeded. Basically just did what the protocol asked. (Okay, I spiked in phiX out of paranoia -- but otherwise the followed the instructions on the box.)
Worked okay.
--
Phillip
-
You get better than 0.5x variation in read numbers using qPCR? Like you have several samples in a pool and the lowest one gave you 20 million and the highest gave you 30 million? That would be close enough to perfect to satisfy me!
I did not do the bead normalization myself -- we just got a Nextera XT pool from a customer and ran it. There were >20 different index pairs in it. I generally call it a "win" if the lowest sample gives > 1/2 the number of reads as the highest sample. So by that criteria, it was good. Actually, if I remember correctly, it was better than that.
--
Phillip
Comment
Latest Articles
Collapse
-
by SEQadmin2
CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).
Despite this, “CRISPR helped turn genome editing from a specialized technique into...-
Channel: Articles
07-31-2026, 11:01 AM -
-
by SEQadmin2
Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.
The systematic characterization of the human proteome has...-
Channel: Articles
07-20-2026, 11:48 AM -
-
by SEQadmin2
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.
...-
Channel: Articles
07-09-2026, 11:10 AM -
ad_right_rmr
Collapse
News
Collapse
| Topics | Statistics | Last Post | ||
|---|---|---|---|---|
|
Started by SEQadmin2, 08-03-2026, 10:13 AM
|
0 responses
15 views
0 reactions
|
Last Post
by SEQadmin2
08-03-2026, 10:13 AM
|
||
|
Started by SEQadmin2, 07-31-2026, 02:55 AM
|
0 responses
32 views
0 reactions
|
Last Post
by SEQadmin2
07-31-2026, 02:55 AM
|
||
|
Started by SEQadmin2, 07-24-2026, 12:17 PM
|
0 responses
23 views
0 reactions
|
Last Post
by SEQadmin2
07-24-2026, 12:17 PM
|
||
|
Started by SEQadmin2, 07-23-2026, 11:41 AM
|
0 responses
21 views
0 reactions
|
Last Post
by SEQadmin2
07-23-2026, 11:41 AM
|
Comment