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Series GSE150587 Query DataSets for GSE150587
Status Public on Nov 30, 2020
Title Comparative evaluation for the globin gene depletion methods for mRNA sequencing using the whole blood-derived total RNAs
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Background: There are challenges in generating mRNA-Seq data from whole-blood derived RNA as globin gene and rRNA are frequent contaminants. Given the abundance of erythrocytes in whole blood, globin genes comprise some 80% or more of the total RNA. Therefore, depletion of globin gene RNA and rRNA are critical steps required to have adequate coverage of reads mapping to the reference transcripts and thus reduce the total cost of sequencing. In this study, we directly compared the performance of probe hybridization (GLOBINClear Kit and Globin-Zero Gold rRNA Removal Kit) and RNAse-H enzymatic depletion (NEBNext® Globin & rRNA Depletion Kit and Ribo-Zero Plus rRNA Depletion Kit) methods from 1 ug of whole blood-derived RNA on mRNA-Seq profiling. All RNA samples were treated DNaseI for additional cleanup before the depletion step and were processed for poly-A selection for library generation. Results: Probe hybridization revealed a better overall performance than the RNAse-H enzymatic depletion method, detecting a higher number of genes and transcripts without 3’ region bias. After depletion, samples treated with probe hybridization showed globin genes at 0.5% (±0.6%) of the total mapped reads; the RNAse-H enzymatic depletion had 3.2% (±3.8%). Probe hybridization showed more junction reads and transcripts compared with RNAse-H enzymatic depletion and also had a higher correlation (R>0.9) than RNAse-H enzymatic depletion (R>0.85). Conclusion: In this study, our results showed that 1 µg of high-quality RNA from whole blood could be routinely used for transcriptional profiling analysis studies with globin gene and rRNA depletion pre-processing. We also demonstrated that the probe hybridization depletion method is better suited to mRNA sequencing analysis with minimal effect on RNA quality during depletion procedures.
 
Overall design All RNA samples were treated DNaseI for additional cleanup before the depletion step and were processed for poly-A selection for library generation.
 
Contributor(s) Jang JS
Citation(s) 33308163
Submission date May 14, 2020
Last update date Apr 25, 2022
Contact name Jin Sung Jang
Organization name Mayo Clinic
Street address 200 First St SW
City Rochester
State/province MN
ZIP/Postal code 55905
Country USA
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (18)
GSM4552772 GLB1
GSM4552773 GLB2
GSM4552774 GLB3
Relations
BioProject PRJNA632871
SRA SRP261630

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE150587_1st_set_Gene_counts.txt.gz 1001.6 Kb (ftp)(http) TXT
GSE150587_1st_set_Transcript_counts.txt.gz 6.2 Mb (ftp)(http) TXT
GSE150587_2nd_set_Gene_counts.txt.gz 775.3 Kb (ftp)(http) TXT
GSE150587_2nd_set_Transcript_counts.txt.gz 4.4 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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