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Series GSE223145 Query DataSets for GSE223145
Status Public on Apr 08, 2024
Title siqRNA-seq is a spike-in-independent technique for quantitative mapping of mRNA landscape
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Normalization of RNA sequencing (RNA-seq) data for gene expression comparison is essential to ensure accurate gene expression quantification. It has been argued that samples with large differences in global expression level cannot be properly normalized without spike-in control RNAs, however, spike-in controls are expensive and not yet widely used. Here, we presented a spike-in independent quantitative RNA sequencing (siqRNA-seq) method, which uses reads from genome DNA as an internal reference to quantify gene expression level. We showed that siqRNA-seq profiles gene expression as traditional RNA-seq, but allows to identify different expression genes between samples with distinct mRNA content. We also showed siqRNA-seq enable us to assess the copy number of mRNA per cell without counting cells and adding spike-ins. Thus, siqRNA-seq provides a convenient and versatile means to quantitatively profile the mRNA landscape in cells.
 
Overall design To develop a spike-in-independent method for gene expression quantification, we designed siqRNA-seq that utilize genome DNA (gDNA) as internal reference for normalization . As we known, each cell has a set of genomic DNA, so we considered that it can be taken as an internal reference but with large molecular weight. To that end, whole nucleic acids were extracted from samples to construct two libraries in parallel for sequencing in siqRNA-seq, mRNA library and mRNA&gDNA library , respectively. Genome DNA was removed by digested with DNase I in mRNA library while retained in mRNA&gDNA library as internal reference. mRNA was reverse-transcribed with oligo(dT) as the primer to synthesis the first strand of the complementary DNA (cDNA). To reduce bias and simplify our pipeline, fragmented cDNA without second strand synthesis and gDNA were denatured by heat following library preparation using a high-efficient ssDNA ligation technique, Adaptase from Accel-NGS 1S Plus DNA Library Kit (Swift Accel-NGS). Adaptase is a commercial enzyme mixture with very high ligation efficiency and low bias for single-stranded DNA (ssDNA) library construction with strand-specific information, which we have used to develop ssDRIP-seq for R-loop profiling and DEtail-seq for DNA break detection . Compared to traditional RNA-seq, mRNA library in siqRNA-seq was directly prepared from single-stranded cDNA, therefore we called this method as ssRNA-seq hereafter.
 
Contributor(s) Wang Z, Tao K, Sun C, Xu W
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Submission date Jan 18, 2023
Last update date Apr 09, 2024
Contact name Zhenzhen Wang
E-mail(s) wzz02182020@gmail.com
Phone +8618790570387
Organization name Chinese Academy of Agricultural Sciences
Street address 97 Buxin Road
City Shenzhen
ZIP/Postal code 518120
Country China
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (50)
GSM6940267 293_gDNA-seq_Rep1
GSM6940268 293_gDNA-seq_Rep2
GSM6940269 293_mRNA_gDNA-seq_Rep1
Relations
BioProject PRJNA925130

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE223145_RAW.tar 6.4 Gb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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