ENAapplication/xmlftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/008/SRR5098008/SRR5098008.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/006/SRR5098006/SRR5098006.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/004/SRR5098014/SRR5098014.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/009/SRR5098019/SRR5098019.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/000/SRR5098010/SRR5098010.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/003/SRR5098003/SRR5098003.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/009/SRR5097999/SRR5097999.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/006/SRR5098016/SRR5098016.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/008/SRR5098018/SRR5098018.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/002/SRR5098002/SRR5098002.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/000/SRR5098000/SRR5098000.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/005/SRR5098005/SRR5098005.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/003/SRR5098013/SRR5098013.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/001/SRR5098011/SRR5098011.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/005/SRR5098015/SRR5098015.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/007/SRR5098007/SRR5098007.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/000/SRR5098020/SRR5098020.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/007/SRR5098017/SRR5098017.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/004/SRR5098004/SRR5098004.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/001/SRR5098001/SRR5098001.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/009/SRR5098009/SRR5098009.fastq.gzftp://ftp.sra.ebi.ac.uk/vol1/fastq/SRR509/002/SRR5098012/SRR5098012.fastq.gzprimaryOK200GenomicsGothenburg universityhttps://www.ebi.ac.uk/ena/browser/view/PRJNA357034Homo sapiensWe report S-phase cancer associated lncRNAs which were identified using nascent RNA capture assay in HeLa cells. Coupling high throughput RNA sequencing with clinical investigation across TCGA datasets we identified a number of lncRNAs that act as prognostic biomarkers for survival in different cancer types Overall design: The differential expression levels of S-phase specific lncRNAs across TCGA datasets were assessed. The clinical values of the differentially expressed lncRNAs were predicted using Kaplan-Meir, univariate and multivariate Cox regression analysis. Functional characterization for different lncRNAs was done using knockdown strategies followed by RNA-seqxref:PubMed:29491376ENAfalseHomo sapiensA cell cycle-based functional screen to identify lncRNA-based cancer biomarkers2025-09-242018-03-01PRJNA357034GSE92250960629491376