Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • TWilliamson
    Junior Member
    • Sep 2017
    • 1

    Different cell-lines giving different levels of uniquely mapped reads?

    Hi all,

    We are carrying out some RNA-Seq on the full transcriptome of a cell line (x) and a cell line derived xenograft (y). RNA was harvested from x, half of it was taken and heat treated to degrade the RNA, bringing the RIN from 9.5 to 4.5. A freshly frozen CDX sample from y and an FFPE CDX sample for y also had their RNA harvested; the RIN was 9.5 and 2.5 respectively.
    To quickly summarise:
    Cell line (x): RIN 9.5 and 4.5
    CDX (y): RIN 9.5 and 2.5

    All 4 samples were put through three different library prep protocols (skipping any RNA degradation steps for the degraded samples) and then sequenced. Upon alignment analysis, both samples from x have more 'uniquely mapped reads' and less 'unmapped: too short' reads, with about the same number of 'mapped to too many loci' reads. Alignment of the degraded x RNA sample also seems to be better than the intact y RNA sample...

    The quality of alignment seems to be much better with samples from x in all three protocols, despite being treated the same as the other samples. I'm fairly certain that the DV200 score was also similar throughout all samples before library prep. What could be causing this?

    It might be worth adding that the cell line is a cancer cell line and the CDX is a cancer biopsy (derived from a different cell line). Could the differential gene expression have some effect?

Latest Articles

Collapse

  • SEQadmin2
    From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
    by SEQadmin2


    Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


    The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
    ...
    06-02-2026, 10:05 AM
  • SEQadmin2
    Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
    by SEQadmin2


    With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


    Introduction

    Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
    05-22-2026, 06:42 AM
  • SEQadmin2
    Environmental Genomics in the Age of NGS: From Microbes to Conservation Strategies
    by SEQadmin2

    Studying ecosystems means dealing with complex, multi-species communities that are hard to observe at scale. This complexity, however, hides many important questions to be answered, from how biogeochemical cycles work and how climate change can affect species distribution to how conservation strategies can work best.


    Genomics, particularly since the expansion of NGS, has transformed ecosystem ecology. By sequencing environmental DNA, we can now assess biodiversity without direct...
    05-06-2026, 09:04 AM

ad_right_rmr

Collapse

News

Collapse

Topics Statistics Last Post
Started by SEQadmin2, Today, 08:59 AM
0 responses
3 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 06-02-2026, 12:03 PM
0 responses
21 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 06-02-2026, 11:40 AM
0 responses
14 views
0 reactions
Last Post SEQadmin2  
Started by SEQadmin2, 05-28-2026, 11:40 AM
0 responses
29 views
0 reactions
Last Post SEQadmin2  
Working...