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accession-icon GSE9175
Eye primordia vs. posterior neural plate vs. lateral endoderm normalized the whole embryos
  • organism-icon Xenopus laevis
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

Tissues from the eye primordia, lateral endoderm, and posterior

Publication Title

Generation of functional eyes from pluripotent cells.

Alternate Accession IDs

E-GEOD-9175

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9173
EFTF vs GFP Experiment
  • organism-icon Xenopus laevis
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

Xenopus laevis embryos were injected with mRNA for EFTFs at 2-cell stage. Animal caps collected at stage 9, cultured to the equivalent of stage 15 and RNA extracted. Four biological replicates of the EFTF-injected and GFP-injected (control) caps were used to profile transcript expression patterns using Affymetrix Xenopus Laevis GeneChip microarrays.

Publication Title

Generation of functional eyes from pluripotent cells.

Alternate Accession IDs

E-GEOD-9173

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP115807
Analyzing differential gene expression pattern upon BRUCE knockdown in full medium and starvation conditions
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

BRUCE was identified as a novel positive regulator of autophagy. By analyzing changes in mRNA levels, we wanted to determine whether BRUCE regulates autopahgy on a trancscriptional level. Overall design: Examination of changes in total mRNA levels comparing control (shRenilla) and BRUCE knockdown (shBruce) cells in full medium (FM) and starvation medium (Starv)

Publication Title

The IAP family member BRUCE regulates autophagosome-lysosome fusion.

Alternate Accession IDs

GSE102808

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP109169
Thiol-linked alkylation for the metabolic sequencing of RNA [SLAM-seq pulse/chase labeling in wildtype mES cells]
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. In combination with well-established metabolic RNA labeling protocols and coupled to standard, low-input, high-throughput RNA sequencing methods, SLAM-seq enables rapid access to RNA polymerase II-dependent gene expression dynamics in the context of total RNA. When applied to mouse embryonic stem cells, SLAM-seq provides global and transcript-specific insights into pluripotency-associated gene expression. We validated the method by showing that the RNA-polymerase II-dependent transcriptional output scales with Oct4/Sox2/Nanog-defined enhancer activity; and provides quantitative and mechanistic evidence for transcript-specific RNA turnover mediated by post-transcriptional gene regulatory pathways initiated by microRNAs and N6-methyladenosine. SLAM-seq facilitates the dissection of fundamental mechanisms that control gene expression in an accessible, cost-effective, and scalable manner. Overall design: Wildtype mouse embryonic stem cells (mES cells) were subjected to s4U metabolic RNA labeling for 24 h (pulse, 100 µM s4U), followed by washout (chase) using non-thiol-containing uridine. Total RNA was prepared at various time points along the chase (0h, 0.5h, 1h, 3h, 6h, 12h, and 24h). Total RNA was then subjected to alkylation and mRNA 3' end sequencing library preparation (QuantSeq, Lexogen).

Publication Title

Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets.

Alternate Accession IDs

GSE99970

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE17739
Circadian gene profiling in the distal nephron and collecting ducts
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Renal excretion of water and major electrolytes exhibits a significant circadian rhythm. This functional periodicity is believed to result, at least in part, from circadian changes in secretion/reabsorption capacities of the distal nephron and collecting ducts. Here, we studied the molecular mechanisms underlying circadian rhythms in the distal nephron segments, i.e. distal convoluted tubule (DCT) and connecting tubule (CNT) and, the cortical collecting duct (CCD). Temporal expression analysis performed on microdissected mouse DCT/CNT or CCD revealed a marked circadian rhythmicity in the expression of a large number of genes crucially involved in various homeostatic functions of the kidney. This analysis also revealed that both DCT/CNT and CCD possess an intrinsic circadian timing system characterized by robust oscillations in the expression of circadian core clock genes (clock, bma11, npas2, per, cry, nr1d1) and clock-controlled Par bZip transcriptional factors dbp, hlf and tef. The clock knockout mice or mice devoid of dbp/hlf/tef (triple knockout) exhibit significant changes in renal expression of several key regulators of water or sodium balance (vasopressin V2 receptor, aquaporin-2, aquaporin-4, alphaENaC). Functionally, the loss of clock leads to a complex phenotype characterized by partial diabetes insipidus, dysregulation of sodium excretion rhythms and a significant decrease in blood pressure. Collectively, this study uncovers a major role of molecular clock in renal function.

Publication Title

Molecular clock is involved in predictive circadian adjustment of renal function.

Alternate Accession IDs

E-GEOD-17739

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP109094
Thiol-linked alkylation for the metabolic sequencing of RNA [Transcriptional inhibition by Actinomycin D]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. In combination with well-established metabolic RNA labeling protocols and coupled to standard, low-input, high-throughput RNA sequencing methods, SLAM-seq enables rapid access to RNA polymerase II-dependent gene expression dynamics in the context of total RNA. When applied to mouse embryonic stem cells, SLAM-seq provides global and transcript-specific insights into pluripotency-associated gene expression. We validated the method by showing that the RNA-polymerase II-dependent transcriptional output scales with Oct4/Sox2/Nanog-defined enhancer activity; and provides quantitative and mechanistic evidence for transcript-specific RNA turnover mediated by post-transcriptional gene regulatory pathways initiated by microRNAs and N6-methyladenosine. SLAM-seq facilitates the dissection of fundamental mechanisms that control gene expression in an accessible, cost-effective, and scalable manner. Overall design: 5 µg/ml Actinomycin D was added to wildtype mouse embryonic stem (mES) cells and total RNA was prepared at various time points after addition of Actinomycin D (0h, 0.25h, 0.5h, 1h, 3h and 10h). Total RNA was subjected to mRNA 3' end library preparation (QuantSeq, Lexogen) and high througput sequencing.

Publication Title

Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets.

Alternate Accession IDs

GSE99975

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon SRP109172
Thiol-linked alkylation for the metabolic sequencing of RNA [SLAM-seq in wildtype and Xpo5 knockout mES cells]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. In combination with well-established metabolic RNA labeling protocols and coupled to standard, low-input, high-throughput RNA sequencing methods, SLAM-seq enables rapid access to RNA polymerase II-dependent gene expression dynamics in the context of total RNA. When applied to mouse embryonic stem cells, SLAM-seq provides global and transcript-specific insights into pluripotency-associated gene expression. We validated the method by showing that the RNA-polymerase II-dependent transcriptional output scales with Oct4/Sox2/Nanog-defined enhancer activity; and provides quantitative and mechanistic evidence for transcript-specific RNA turnover mediated by post-transcriptional gene regulatory pathways initiated by microRNAs and N6-methyladenosine. SLAM-seq facilitates the dissection of fundamental mechanisms that control gene expression in an accessible, cost-effective, and scalable manner. Overall design: Wildtype (wt) mouse embryonic stem (mES) cells, clonal mES cells that had been transfected with non-targeting control guide RNAs (ctr), or Exportin-5 depleted (Xpo5KO) mES cells were subjected to 3h and 12h s4U-pulse labeling followed by total RNA extraction, alkylation, mRNA 3' end library preparation (QuantSeq, Lexogen) and high throughput sequencing.

Publication Title

Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets.

Alternate Accession IDs

GSE99973

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon SRP109093
Thiol-linked alkylation for the metabolic sequencing of RNA [SLAM-seq in wildtype and Mettl3 knockout mES cells]
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. In combination with well-established metabolic RNA labeling protocols and coupled to standard, low-input, high-throughput RNA sequencing methods, SLAM-seq enables rapid access to RNA polymerase II-dependent gene expression dynamics in the context of total RNA. When applied to mouse embryonic stem cells, SLAM-seq provides global and transcript-specific insights into pluripotency-associated gene expression. We validated the method by showing that the RNA-polymerase II-dependent transcriptional output scales with Oct4/Sox2/Nanog-defined enhancer activity; and provides quantitative and mechanistic evidence for transcript-specific RNA turnover mediated by post-transcriptional gene regulatory pathways initiated by microRNAs and N6-methyladenosine. SLAM-seq facilitates the dissection of fundamental mechanisms that control gene expression in an accessible, cost-effective, and scalable manner. Overall design: Wildtype (wt) mouse embryonic stem (mES) cells, clonal mES cells that had been transfected with non-targeting control guide RNAs (ctr), or Mettl3 depleted (Mettl3KO) mES cells were subjected to 3h and 12h s4U-pulse labeling followed by total RNA extraction, alkylation, mRNA 3´ end library preparation (QuantSeq, Lexogen) and high throughput sequencing.

Publication Title

Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets.

Alternate Accession IDs

GSE99974

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE34183
PRC2 is required for acute myeloid leukemias initiated by MLL-AF9
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The transcriptional activating and repressive functions performed by Trithorax and Polycomb group complexes, respectively, are critical for to maintain cellular fates in ontogeny and in cancer. Here we report that leukemias initiated by a Trithorax-related oncogene, MLL-AF9, depend upon the Polycomb Repressive Complex 2 (PRC2) to sustain a transformed cellular state. RNAi mediated suppression of PRC2 subunits is sufficient to inhibit proliferation of MLL-AF9 leukemias, with little impact on growth of non-transformed cells. This requirement is partly due to PRC2-mediated transcriptional repression of several anti-self-renewal regulators, including Cdkn2a. These results suggest that, unlike the classical antagonism generally observed between Polycomb and Trithorax group proteins during development, the activities of these two pathways can cooperate to promote myeloid neoplasia.

Publication Title

The Polycomb complex PRC2 supports aberrant self-renewal in a mouse model of MLL-AF9;Nras(G12D) acute myeloid leukemia.

Alternate Accession IDs

E-GEOD-34183

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP109171
Thiol-linked alkylation for the metabolic sequencing of RNA [Transcriptional output measurement by SLAM-seq in wildtype mES cells]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. In combination with well-established metabolic RNA labeling protocols and coupled to standard, low-input, high-throughput RNA sequencing methods, SLAM-seq enables rapid access to RNA polymerase II-dependent gene expression dynamics in the context of total RNA. When applied to mouse embryonic stem cells, SLAM-seq provides global and transcript-specific insights into pluripotency-associated gene expression. We validated the method by showing that the RNA-polymerase II-dependent transcriptional output scales with Oct4/Sox2/Nanog-defined enhancer activity; and provides quantitative and mechanistic evidence for transcript-specific RNA turnover mediated by post-transcriptional gene regulatory pathways initiated by microRNAs and N6-methyladenosine. SLAM-seq facilitates the dissection of fundamental mechanisms that control gene expression in an accessible, cost-effective, and scalable manner. Overall design: Mouse embryonic stem (mES) cells were subjected to 45 min s4U-pulse labeling followed by total RNA extraction, alkylation, mRNA 3' end library preparation (Quant-seq, Lexogen) and high throughput sequencing.

Publication Title

Quantification of experimentally induced nucleotide conversions in high-throughput sequencing datasets.

Alternate Accession IDs

GSE99972

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
...

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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