Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR049804.fastq.gz | Fastqsanger.gz | |||
| ERR049805.fastq.gz | Fastqsanger.gz |
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Project description:Illumina single-end sequencing of Hela_2 (HeLa cell line). While the number and identity of proteins expressed in a single human cell type is currently unknown, this fundamental question can be addressed by advanced mass spectrometry (MS)-based proteomics. On-line liquid chromatography coupled to high resolution MS and MS/MS yielded more than 150,000 unique peptides that identified more than 10,000 different human proteins encoded by more than 9,000 human genes. Deep transcriptome sequencing revealed transcripts for nearly all detected proteins. We show that the abundances of more than 90% of proteins and transcripts fall within a 10,000-fold range, and allocate the proteome to different compartments, complexes and functions. Comparisons of the proteome and the transcriptome, and analysis of protein complex databases and GO categories, suggest that we achieved almost complete coverage of the functional transcriptome and the proteome of a single cell type.
2011-11-12 | E-MTAB-823 | biostudies-arrayexpress
Project description:Standard RNA analyses using microarrays and low-coverage polyadenylation enriched RNA-Sequencing (RNA-Seq) cannot fully characterize the complexity of the cancer transcriptome. To fully elucidate the transcriptome of prostate tumours, we performed ultra-deep total RNA-Seq on 144 localized prostate tumours with long-term clinical follow up. Analysis of linear RNAs identified a transcriptomic subtype associated with the aggressive intraductal carcinoma subhistology, and a fusion gene profile that differentiates localized from metastatic prostate cancers. Analysis of back-splicing events identified widespread RNA circularization, with the average tumour expressing 7,140 distinct circular RNAs. The degree of aberrant circRNA production is correlated to disease progression in multiple clinical cohorts. Loss of function screens identified 11.3% of the screened circRNAs as essential to prostate cancer proliferation, and for 93.6% of these, their parental linear genes are not required for proliferation. Follow-up studies on circCSNK1G3 revealed its role in regulating cell cycle progression. Ultra-deep transcriptome sequencing thus provides a more comprehensive view of the linear and circular transcriptional and functional landscapes of localized prostate cancer.
2019-02-07 | GSE113120 | GEO
Project description:Standard RNA analyses using microarrays and low-coverage polyadenylation enriched RNA-Sequencing (RNA-Seq) cannot fully characterize the complexity of the cancer transcriptome. To fully elucidate the transcriptome of prostate tumours, we performed ultra-deep total RNA-Seq on 144 localized prostate tumours with long-term clinical follow up. Analysis of linear RNAs identified a transcriptomic subtype associated with the aggressive intraductal carcinoma subhistology, and a fusion gene profile that differentiates localized from metastatic prostate cancers. Analysis of back-splicing events identified widespread RNA circularization, with the average tumour expressing 7,140 distinct circular RNAs. The degree of aberrant circRNA production is correlated to disease progression in multiple clinical cohorts. Loss of function screens identified 11.3% of the screened circRNAs as essential to prostate cancer proliferation, and for 93.6% of these, their parental linear genes are not required for proliferation. Follow-up studies on circCSNK1G3 revealed its role in regulating cell cycle progression. Ultra-deep transcriptome sequencing thus provides a more comprehensive view of the linear and circular transcriptional and functional landscapes of localized prostate cancer.
2019-02-07 | GSE113119 | GEO
Project description:The cancer transcriptome is remarkably complex, including low-abundance transcripts, many not polyadenylated. To fully characterize the transcriptome of localized prostate cancer, we performed ultra-deep total RNA-Seq on 144 tumours with rich clinical annotation. This revealed a linear transcriptomic subtype associated with the aggressive intraductal carcinoma sub-histology and a fusion profile that differentiates localized from metastatic disease. Analysis of back-splicing events showed widespread RNA circularization, with the average tumour expressing 7,232 circular RNAs (circRNAs). The degree of circRNA production was correlated to disease progression in multiple patient cohorts. Loss of function screening identified 11.3% of highly-abundant circRNAs as essential for cell proliferation; for ~90% of these, their parental linear transcripts were not essential for cell proliferation. Individual circRNAs can have distinct functions, with circCSNK1G3 promoting cell growth by interacting with miR-181. These data advocate for adoption of ultra-deep RNA-Seq without poly-A selection to interrogate both the linear and circular transcriptome.
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Project description:Comparison of different culture conditions of the human breast cancer cell line SUM149. We cultured the cells adherent in standard medium in normal cell culture flasks and as mammospheres in MammoCult (stemcell technologies) in ultra low-attachment flasks
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Project description:Standard RNA analyses using microarrays and low-coverage polyadenylation enriched RNA-Sequencing (RNA-Seq) cannot fully characterize the complexity of the cancer transcriptome. To fully elucidate the transcriptome of prostate tumours, we performed ultra-deep total RNA-Seq on 144 localized prostate tumours with long-term clinical follow up. Analysis of linear RNAs identified a transcriptomic subtype associated with the aggressive intraductal carcinoma subhistology, and a fusion gene profile that differentiates localized from metastatic prostate cancers. Analysis of back-splicing events identified widespread RNA circularization, with the average tumour expressing 7,140 distinct circular RNAs. The degree of aberrant circRNA production is correlated to disease progression in multiple clinical cohorts. Loss of function screens identified 11.3% of the screened circRNAs as essential to prostate cancer proliferation, and for 93.6% of these, their parental linear genes are not required for proliferation. Follow-up studies on circCSNK1G3 revealed its role in regulating cell cycle progression. Ultra-deep transcriptome sequencing thus provides a more comprehensive view of the linear and circular transcriptional and functional landscapes of localized prostate cancer.
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Project description:Sequencing-based spatial transcriptomics (sST) enables transcriptome-wide gene expression mapping but falls short of reaching the optical resolution (200–300 nm) of imaging-based methods. Here, we present Seq-Scope-X (Seq-Scope-eXpanded), which empowers submicrometer-resolution Seq-Scope with tissue expansion to surpass this limitation. By physically enlarging tissues, Seq-Scope-X minimizes transcript diffusion effects and increases spatial feature density by an additional order of magnitude. In liver tissue, this approach resolves nuclear and cytoplasmic compartments in nearly every single cell, uncovering widespread differences between nuclear and cytoplasmic transcriptome patterns. Independently confirmed by imaging-based methods, these results suggest that individual hepatocytes can dynamically switch their metabolic roles. Seq-Scope-X also works in brain and colon, and can be adapted for spatial proteomics, profiling hundreds of barcode-tagged antibody stains at microscopic resolutions in mouse spleens and human tonsils. Together, these findings establish Seq-Scope-X as a transformative platform for ultra-high-resolution whole-transcriptome and proteome profiling, providing unparalleled precision and biological insights.
2026-01-22 | GSE316811 | GEO