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accession-icon SRP017378
Transcriptome-profiling (RNA-seq) and Ribosome-profiling (Ribo-seq) in proliferation, quiescence, senescence and transformed states.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon

Description

We applied in parallel RNA-Seq and Ribosome-profiling analyses to immortalized human primary BJ fibroblast cells under the following conditions: normal proliferation, quiescence (induced by serum depletion), senescence (induced by activation of the oncogenic RASG12V gene, and examined at early (5 days; pre-senescent state) and late (14 days; fully senescent state) time points), and neoplastic transformation (induced by RASG12V in the background of stable p53 and p16INK4A knockdowns and SV40 small-T expression. Overall design: RNA-seq, using Illumina HiSeq 2000, was applied to BJ cells under 5 conditions: proliferation, quiescence, pre-senescence, full-senescence, and transfomed. Ribosome profiling, using Illumina HiSeq 2000, was applied to BJ cells under 5 conditions: proliferation, quiescence, pre-senescence, full-senescence, and transfomed.

Publication Title

p53 induces transcriptional and translational programs to suppress cell proliferation and growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP020544
Transcriptome-profiling (RNA-seq) and Ribosome-profiling (Ribo-seq) of BJ cells treated with Nutlin-3a, an MDM2 inhibitor, which induces p53.
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon

Description

We applied in parallel RNA-Seq and Ribosome-profiling analyses to immortalized human primary BJ fibroblast cells in which p53 was induced by Nutlin-3a Overall design: RNA-seq, using Illumina HiSeq 2000, was applied to BJ cells treated with Nutlin-3a, at 5 timepoints: 0, 2, 4, 6, 19 hrs Ribosome profiling was applied to BJ cells treated with Nutlin-3a, at 5 timepoints: 0, 2, 4, 6, 19 hrs

Publication Title

p53 induces transcriptional and translational programs to suppress cell proliferation and growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP101952
RNA_seq and Ribo_seq analyses of control and CPT-treated MCF7 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

We used RNA-seq and Ribo-seq analyses to examine the effect of CPT treatment of translation efficiency (TE) Overall design: We measured expression levels (RNA.seq) and ribosome densities (ribo-seq) using biological duplicates of control and CPT-treated (5 hrs) MCF7 cells

Publication Title

Transcription Impacts the Efficiency of mRNA Translation via Co-transcriptional N6-adenosine Methylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP102021
RNA_seq and Ribo_seq analyses applied to PC9 and H1933 human cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon

Description

We used RNA-seq and Ribo-seq analyses to examine translation efficiency (TE) in PC9 and H1933 cells Overall design: We measured expression levels (RNA.seq) and ribosome densities (ribo-seq) in PC9 and H1933 cell lines

Publication Title

Transcription Impacts the Efficiency of mRNA Translation via Co-transcriptional N6-adenosine Methylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP102020
RNA_seq and Ribo_seq analyses of control and Nutlin3a-treated MCF7 cells (20 hrs)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon

Description

We used RNA-seq and Ribo-seq analyses to examine the effect of Nutlin3a (activator of p53) treatment of translation efficiency (TE) Overall design: We measured expression levels (RNA.seq) and ribosome densities (ribo-seq) in control and Nutlin3a-treated (20 hrs) MCF7 cells

Publication Title

Transcription Impacts the Efficiency of mRNA Translation via Co-transcriptional N6-adenosine Methylation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP056200
Ribo_seq (aka ribosome profiling) analysis of control and Myc-induced U2OS cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We used Ribo-seq to examine the effect of Myc activation on protein translation in U2OS cells and correalted these changes with alterations in RNA level measured by RNA-seq on tye same conditions. We also examined these effects in the presence of Torin-1, an inhibitor of mTOR Overall design: We measure ribosome occupancy profiles in U2OS cells containing an inducible Myc expression vector that were induced or mock-treated in duplicates for 36 hours. In addition, we repeated the experiments in the presence of Torin-1, an inhibitor of mTOR.

Publication Title

Myc coordinates transcription and translation to enhance transformation and suppress invasiveness.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056084
RNA-seq analysis of control and Myc-induced U2OS cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We used RNA-seq to examine the effect of Myc activation on U2OS cells transcriptome. We also examined these effects in the presence of Torin-1, an inhibitor of mTOR Overall design: We measure gene expression profiles in U2OS cells containing an inducible Myc expression vector that were induced or mock-treated in duplicates for 36 hours. In addition, we repeated the experiments in the presence of Torin-1, an inhibitor of mTOR.

Publication Title

Myc coordinates transcription and translation to enhance transformation and suppress invasiveness.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056201
GRO-seq analysis of control and Myc-induced U2OS cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We used GRO-seq to examine the effect of Myc activation on RNA transcription in U2OS cells. Overall design: We measure in duplicates gene transcription rates in U2OS cells containing an inducible Myc expression vector that were induced or mock-treated in duplicates for 5 hours.

Publication Title

Myc coordinates transcription and translation to enhance transformation and suppress invasiveness.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP007596
Genome-wide maps of polyadenylation sites in control and PABPN1kd cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII, IlluminaHiSeq2000

Description

We applied deep-sequencing based technique, 3''-Seq, to obtain comprehansive maps of poly-A sites in human cells. 3''-Seq was applied to two cell lines (U2OS and RPE-1), in control and PABPN1 knockdown cells Overall design: Examination of poly-A sites in control and PABPN1kd cells (in two different cell lines)

Publication Title

The poly(A)-binding protein nuclear 1 suppresses alternative cleavage and polyadenylation sites.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP123625
Translatome analysis of the ribosomal protein L10 R98S mutation reveals altered serine metabolism in acute lymphoblastic leukemia [supplementaryRNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Somatic ribosomal protein defects have recently been described in cancer, yet their impact on cellular transcription and translation remain poorly understood. Here we integrated mRNA sequencing, ribosome footprinting, polysomal RNA seq and quantitative mass spectrometry datasets obtained from an isogenic mouse lymphoid cell model in order to study the T-cell acute lymphoblastic leukemia (T-ALL) associated R98S mutation in ribosomal protein L10 (RPL10 R98S). RPL10 R98S induced changes in protein levels were to a much larger extent caused by transcriptional then translational changes and RPL10 R98S cells showed a gene signature corresponding to deregulation of hematopoietic transcription factors. Phosphoserine phosphatase (PSPH), a key enzyme in serine biosynthesis, displayed elevated transcription and translation and was one of the proteins showing the strongest upregulation in RPL10 R98S cells. Increased Psph protein levels were confirmed in RPL10 R98S engineered JURKAT cells and in hematopoietic cell cultures derived from Rpl10 R98S knock-in mice. Moreover, elevated serine and glycine biosynthesis in RPL10 R98S cells was supported by metabolic flux analyses. Analysis of PSPH expression levels in T-ALL patient samples revealed that PSPH upregulation is a generalized phenomenon in this disease, associated with elevated circulating serine and glycine levels. Addition of serine and glycine enhanced survival of stromal and myeloid cells, suggesting supportive effects on the hematopoietic niche. Finally, reduction of PSPH expression levels in T-ALL cell lines suppressed their in vitro proliferation and their capacity to expand in T-ALL xenograft models. In conclusion, transcriptome, translatome and proteome analysis of the RPL10 R98S mutation identified RPL10 R98S driven induction of cellular serine biosynthesis. Whereas serine metabolism has been implicated in cancer via PHGDH amplification, this is the first report supporting dependence of ALL cells on the serine biosynthesis enzyme PSPH. Overall design: 3 biological replicates for each condition (RPL10 R98S, RPL10 WT)

Publication Title

Translatome analysis reveals altered serine and glycine metabolism in T-cell acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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