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Sample GSM5159742 Query DataSets for GSM5159742
Status Public on Mar 12, 2021
Title ALS patient_enrolment [UCH00114]
Sample type SRA
 
Source name Blood plasma
Organism Homo sapiens
Characteristics disease: ALS
group: enrolment
Treatment protocol N/A
Growth protocol N/A
Extracted molecule total RNA
Extraction protocol Plasma were isolated from blood and total RNA was extracted using the Qiagen miRNeasy micro kit (Cat# 217184)
libraries were prepared from 7.5 ng of total RNA using the QIAseq miRNA library kit and QIAseq miRNA NGS 48 Index IL (Qiagen, Cat# 331505 and 331565), by an experimenter who was blinded to the identity of samples. Samples were randomly allocated to library preparation and sequencing in batches. Libraries with different indices were multiplexed and sequenced on NextSeq 500/550 v2 flow cell or Novaseq SP100 (Illumina), with 75bp single read and 6bp index read.
 
Library strategy miRNA-Seq
Library source transcriptomic
Library selection size fractionation
Instrument model NextSeq 550
 
Description UCH00114
All_samples_enrolment.txt
Survival_study_discovery_cohort.xls
Data_file_related_to_fig_2_3_5_discovery.csv
Data processing Data were aligned to the genome using the GeneGlobe pipeline (https://geneglobe.qiagen.com/us/)
Data were filtered using the following specifications: >50 UMIs in >60% of the samples for longitudinal analysis, >100 UMIs on average for other analyses
Data were corrected for batch using the ComBat function in R and then normalized by DESeq2
Supplementary_files_format_and_content: txt files contain raw UMI counts, after alignment
Supplementary_files_format_and_content: xls files contain batch and DESeq2 corrected UMIs, after filtration of low-abundance miRNAs. Related R code are in the same folder
Supplementary_files_format_and_content: csv files contain categorial values for miRNAs and other clinical features, to be run by an R code for calculation of hazard ratios by COX proportional hazard analysis. Related R codes are in the same folder
 
Submission date Mar 11, 2021
Last update date Mar 12, 2021
Contact name Iddo Magen
E-mail(s) [email protected]
Phone 0545727335
Organization name Weizmann Institute
Street address בן אליעזר 32, 17
City ראשון לציון
State/province Not in US
ZIP/Postal code 7522679
Country Israel
 
Platform ID GPL21697
Series (1)
GSE168714 Circulating miR-181 is a prognostic biomarker for amyotrophic lateral sclerosis
Relations
BioSample SAMN18261677
SRA SRX10313602

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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