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Series GSE60119 Query DataSets for GSE60119
Status Public on Aug 06, 2014
Title Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis
Overall design The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).
Contributor(s) Ko Y, Ledo N, Susztak K
Citation(s) 25231882
Submission date Aug 05, 2014
Last update date May 15, 2019
Contact name Yi-An Ko
Organization name UPeenn
Department Genetics & Gene Regulation
Lab Susztak
Street address 415 curie blvd
City Philadelphia
State/province Pennsylvania
ZIP/Postal code 19104
Country USA
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (2)
GSM1465293 BX005
GSM1465294 BX019
BioProject PRJNA257512
SRA SRP045276

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
GSE60119_RAW.tar 360.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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