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Series GSE109655 Query DataSets for GSE109655
Status Public on Dec 25, 2018
Title Bioinformatic analysis of endogenous and exogenous small RNAs on lipoproteins
Organism Mus musculus
Experiment type Non-coding RNA profiling by high throughput sequencing
Summary High-throughput small RNA sequencing (sRNA-seq) has facilitated many discoveries, but extracellular sRNA (ExRNA) present unique analytical challenges that are not met by current software. Therefore, we developed a novel data analysis pipeline entitled, “TIGER”, which caters to exRNA. To demonstrate the power of this tool, sRNA-seq was performed on high-density lipoproteins (HDL), apolipoprotein B particles (APOB), bile, urine, and liver samples. TIGER was able to characterize approximately 60% of lipoprotein, and >85% of liver, bile, and urine sRNA-seq depth, a significant advance compared to existing software. A key advance for the TIGER pipeline is the ability to analyze host and non-host sRNAs at genomic, parent RNA, and individual fragment levels. Results suggest that the majority of sRNAs on lipoproteins are derived from bacterial sources in the microbiome and environment. Collectively, TIGER facilitated novel discoveries of lipoprotein and biofluid sRNAs and has tremendous applicability for the field of exRNA.
 
Overall design All samples are from matched mice, of wild-type or SRBIKO genotype: 14 HDL, 14 apoB, 14 Liver, 13 Bile, 11 Urine

Please note that
[1] the count.txt.tar contains multiple count files listing all annotated features (.count.txt) or fragment reads (read.count.txt) or total categorical counts (category.count.txt) for associated with a given category;
[2] The DESeq2.csv.tar contains outputs from differential expression analysis using DeSeq2 comparing Wild-type vs SRBIKO;
[3] The associated processed data files are indicated in the corresponding sample description field (since most of the samples were combined to generate multiple processed data).
 
Contributor(s) Allen RM, Zhao S, Ramirez-Solano MA, Michell DL, Wang Y, Shyr Y, Sethupathy P, Linton MF, Graf GA, Sheng Q, Vickers KC
Citation(s) 30128086
Submission date Jan 25, 2018
Last update date Mar 25, 2019
Contact name Ryan M Allen
E-mail(s) ryan.m.allen@vumc.org
Phone 3146109328
Organization name Vanderbilt University Medical Center
Department Medicine
Lab Vickers
Street address 2220 Pierce Ave
City Nashville
State/province TN
ZIP/Postal code 37232
Country USA
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (66)
GSM2947955 Liver_WT_1
GSM2947956 Liver_SRBIKO_2
GSM2947957 Liver_WT_3
Relations
BioProject PRJNA431602
SRA SRP131195

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
GSE109655_DESeq2.csv.tar.gz 984.6 Kb (ftp)(http) TAR
GSE109655_count.txt.tar.gz 35.4 Mb (ftp)(http) TAR
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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