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Series GSE155375 Query DataSets for GSE155375
Status Public on May 05, 2021
Title LoopSeq Synthetic Long Read Sequencing Uncovers Isoform Modulation in the progression of Colon Cancer [RNA-seq]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary In this study, we used a barcoding-based synthetic long read (SLR) isoform sequencing approach (LoopSeq) to generate sequencing reads sufficiently long and accurate to identify isoforms using standard short read Illumina sequencers.
 
Overall design Amplicon RNA-sequencing targeting on gene FAM104A and PABPC1 across 6 colon cancer samples. ID 1, 2 and 3 are for patient ID. T and M are for tumor and metastasis samples. GRM and PHU are for two enzymes.
 
Contributor(s) Liu S, Wu I, Yu Y, Balamotis M, Ren B, Yehezkel TB, Luo J
Citation(s) 33907296
Submission date Jul 29, 2020
Last update date May 05, 2021
Contact name Shuchang Liu
E-mail(s) shl96@pitt.edu
Organization name University of Pittsburgh
Department Pathology
Street address 203 Lothrop Street
City Pittsburgh
State/province PA
ZIP/Postal code 15261
Country USA
 
Platforms (1)
GPL21697 NextSeq 550 (Homo sapiens)
Samples (16)
GSM4700317 GRM_FAM104A_1M
GSM4700318 GRM_FAM104A_1T
GSM4700319 GRM_FAM104A_2M
This SubSeries is part of SuperSeries:
GSE155921 LoopSeq Synthetic Long Read Sequencing Uncovers Isoform Modulation in the progression of Colon Cancer
Relations
BioProject PRJNA656188
SRA SRP276916

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
GSE155375_RAW.tar 235.6 Mb (http)(custom) TAR (of WIG)
GSE155375_validation.xlsx 13.1 Kb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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