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accession-icon SRP045899
Molecular mechanism behind the hematopoiesis-enhancing effect of SRT3025
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We used wild-type 129 mice to understand the mechanism of action behind SRT3025’s hematopoiesis-enhancing effect. Transcriptome analysis of cKit+ Sca1+ Lin- cells (KSL) cells discovered that a list of genes changed their expression levels significantly after SRT3025 administration in wild-type mice. Most notably, the cell cycle regulator p21 was down-regulated by 2.1 fold after SRT3025 administration. It is possible that the transcriptional suppression of p21 by SRT3025 might contribute to the compound’s beneficial effects on hematopoiesis. It has to be pointed out that, since our transcriptome analysis was limited to hematopoietic stem and progenitor cell population, we cannot rule out the possibility that SRT3025 works through the regulation of other cells such as certain important HSC niche components. The HSC niche is known to regulate stem cell pool size. Among the other genes suppressed by SRT3025, Thbs1 and Fosl2 encode thrombospondin 1 and Fos-like antigen 2, respectively. Both proteins are components of the HSC niche. Overall design: The goal of this study is to investigate gene expression changes in wild-type 129 mice in response to SRT3025 treatment. The study focuses on bone marrow cKit+ Sca1+ Lin- cells (representing hematopoietic stem and progenitor cells). These cells were sorted twice by FACS to ensure the purity. Cells of interest were collected in Trizol. RNA were isolated using RNAeasy mini prep kit and mRNAs were positively selected using oligo(dT)- Dynobeads. Then RNAseq libraries were then made using Illumina TruSeq RNA Sample Prep Kit and sequeced on an Illumina HiSeq 2000 genome analyzer.

Publication Title

The Sirt1 activator SRT3025 expands hematopoietic stem and progenitor cells and improves hematopoiesis in Fanconi anemia mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP043493
Oxymetholone therapy of Fanconi anemia suppresses osteopontin transcription and induces hematopoietic stem cell cycling
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We used Fancd2-/- mice to understand its mechanism of action. Transcriptome analysis of cKit+ Sca1+ Lin- (KSL) cells discovered that only four genes changed their expression levels significantly after chronic OXM administration in both Fancd2-/- and wild-type mice: mKi67 and Cenpf were up-regualted by 1.4 fold; Spp1 and Oasl2 were significantly down-regulated by 10.5 and 1.5 fold, respectively. Both mKi67 and Cenpf genes are cell cycle-regulated genes and proliferation markers. Their up-regulation was consistent with our observation in flow cytometry analysis that oxymetholone stimulated the proliferation of hematopoietic stem and progenitor cells. RNAseq analysis showed no effects on mTert mRNA expression with chronic androgen therapy, but instead suggested down-regulation of Spp1 and Oasl2 as an important mechanism for the drug’s action. Our RNAseq analysis also revealed that Fancd2-/- KSL cells showed clear changes in mRNA expression profiles compared to wild-type controls: 430 genes were down-regulated by more than 1.5 fold, whereas 159 genes were up-regulated. Gene ontology analysis revealed key pathways to be significantly altered in Fancd2-/- KSL cells. Besides the abnormal cell cycle status expected from our earlier flow cytometry analysis, surprisingly we noticed that a group of genes involved in immune responses and inflammation, comprising Cfp (Properdin), Socs2, Ccr1, Ccr2, Ccr5, Chga (Chromogranin A), Ifi30 (Interferon Gamma-Inducible Protein 30), Lgmn, Txn, and Sell (selectin L), were up-regulated in Fancd2-/- KSL cells. We therefore hypothesize that some genes up-regulated in FA HSPCs may be part of an innate immune response to DNA damage. In addition, whole bone marrow cells were also analyzed in parallel with KSL cells. As compared to whole bone marrow cells, the genes enriched in KSL cells in wild-type mice were listed in details in the corresponding publication. This information can be a good resource for the future gene expression analysis of HSPCs. Finally, we compared the gene expression profiles of early progenitors between OXM-treated and placebo-treated mice. There were no significant differences at all in gene expression between OXM-treated wild-type erythroid progenitors and their placebo-treated wild-type counterparts, with no genes displaying an expression change higher than 1.2 fold. Importantly, no up-regulation of EPO-inducible genes such as Socs1, Socs2, Socs3, and Cish was seen in wild-type mice treated with OXM. Furthermore, there was no differential expression of the well-known EPO target transferrin receptor or any other major players of the Epo-R signaling network such as Bcl2l1, Cdc25a, Btg3, Ccnd2, Lyl1, Pim3, and Tnfrsf13c. These results indicate that EPO might not play a role in the action of OXM in the erythroid lineage. Overall design: The goal of this study is to investigate gene expression changes in Fancd2 knockout mice in response to oxymetholone treatment. The study focuses on two bone marrow cell populations: cKit+ Sca1+ Lin- cells (representing hematopoietic stem and progenitor cells) and Ter119+/CD71high/FSChigh cells (representing proerythroblasts and basophilic erythroblasts). Both populations were sorted twice by FACS to ensure the purity. Cells of interest were collected in Trizol and RNA was isolated using RNAeasy mini prep kit. mRNAs were positively selected using oligo(dT)- Dynobeads and treated with DNase I. RNAseq libraries were then constructed using Illumina TruSeq RNA Sample Prep Kit and sequenced as 51 base-length reads on an Illumina HiSeq 2000 genome analyzer. For KSL libraries, each sample represented total mRNA isolated from pooled KSL cells of 5 individual mice; for basophilic erythroblast libraries, each library represented total mRNA isolated from basophilic erythroblasts of one individual mouse; for whole bone marrow libraries, each sample represented a combined library originally from 5 individual mice. All reads were mapped to the mouse reference genome (version mm9) using Bowtie short read aligner software (http://bowtie-bio.sf.net). Most of the data analysis was performed using EdgeR GLM algorithms. For the comparison of oxymetholone KSL libraries vs placebo KSL libraries, more stringent pair-wise comparisons were used to keep a consistent flow cytometric setting among each pair. The common gene list was the one shared by all three comparisons: COM17 vs HSC_101b, HSC_13 vs HSC_18, and HSC_23 vs QZ_35 for Fancd2-/- KSL cells; HSC_3 vs QZ_36, HSC_22 vs HSC_24, and COM15 vs COM16 for wild-type KSL cells. Data-mining and pathway analysis were carried out with the MetaCore integrated software suite (Thomson Reuters, New York, USA).

Publication Title

Oxymetholone therapy of fanconi anemia suppresses osteopontin transcription and induces hematopoietic stem cell cycling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25076
Hypothalamic expression differences between hypertensive BPH/2J and normotensive BPN/3J mouse strains
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Identification of hypothalamic genes whose expression differs between high blood pressure (BPH/2J) and normal blood pressure (BPN/3J) Schlager mouse strains at age 6 weeks (young) and 26 weeks (mature) using Affymetrix GeneChip Mouse Gene 1.0 ST Arrays.

Publication Title

Global identification of the genes and pathways differentially expressed in hypothalamus in early and established neurogenic hypertension.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE26007
Hypothalamic expression differences between hypertensive BPH/2J during circadian variations of blood pressure
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Identification of hypothalamic genes whose expression differs between active (peak of blood pressure) and inactive periods in the high blood pressure (BPH/2J) Schlager mouse, adjusted by their age- and activity-matched normal blood pressure (BPN/3J) controls using Affymetrix GeneChip Mouse Gene 1.0 ST Arrays.

Publication Title

Genes influencing circadian differences in blood pressure in hypertensive mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE25675
Identification and functional analysis of novel genes expressed in the Anterior Visceral Endoderm
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

During early development, the correct establishment of the body axes is a critical step. The anterior pole of the mouse embryo is established when Distal Visceral Endoderm (DVE) cells migrate to form the Anterior Visceral Endoderm (AVE). Asymmetrical expression of Lefty1, Cerl and Dkk determines the direction of DVE migration and the future anterior side. Besides being implicated in the establishment of Anterior-Posterior axis the AVE has also been correlated with anterior neural specification. In order to better understand the role of the AVE in these processes, this cell population was isolated using a cerlP-EGFP transgenic mouse line, and a differential screening was performed using Affymetrix GeneChip technology. From this differential screening, 175 genes were found to be upregulated in the AVE, whereas 35 genes were upregulated in the Proximal-posterior sample. Using DAVID, here we characterize the AVE cell population regarding cellular component, molecular function and biological processes. Among the genes that were found to be upregulated in the AVE, several novel genes with expression in the AVE were identified. Four of the identified transcripts displaying high-fold change were further characterized by in situ hybridization in early stages of development in order to validate the screening. From those four selected genes, ADTK1 was chosen to be functionally characterized by targeted inactivation in ES cells. ADTK1 encodes for an unknown serine/threonine kinase. ADTK null mutants present short limbs and defects in the eye and ear. Taken together, these data point to the importance of reporting novel genes present in the AVE.

Publication Title

Identification and functional analysis of novel genes expressed in the Anterior Visceral Endoderm.

Sample Metadata Fields

Specimen part

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accession-icon GSE38333
Genome-wide effects of Pbcas4 knockdown
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We tested the effect iof Pbcas4 knockdown using a specific shRNA on the expression of genes sharing miRNA binding sites in mouse N2A cells.

Publication Title

Evidence for conserved post-transcriptional roles of unitary pseudogenes and for frequent bifunctionality of mRNAs.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP028399
Transcription Start Site analysis of Mouse Ter119+ erythroid cells
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcription Start Site analysis in Mouse Ter119+ erythroid cells Overall design: Strand Specific Paired end NanoCage analysis of Total RNA from Mouse Ter119+ erythroid cells

Publication Title

Chromatin signatures at transcriptional start sites separate two equally populated yet distinct classes of intergenic long noncoding RNAs.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP028397
Transcriptome analysis of Mouse Ter119+ erythroid cells [PolyA+]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of gene expression in Mouse Ter119+ erythroid cells Overall design: Paired end RNA-seq analysis of PolyA selected RNA from Mouse Ter119+ erythroid cells

Publication Title

Chromatin signatures at transcriptional start sites separate two equally populated yet distinct classes of intergenic long noncoding RNAs.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE28260
Renal cortex and medulla microRNA and mRNA expression differences between hypertensive and normotensive patients
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiling reveals renin mRNA overexpression in human hypertensive kidneys and a role for microRNAs.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP043525
Extensive crosstalk between lncRNAs and mRNAs in mouse stem cells
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To determine the temporal variation of mRNA levels, we collected and sequenced poly-adenylated RNA from all cell extracts, cytoplasmic and nuclear fractions of a conditional Dicer mutant [DTCM23/49 XY (Nesterova et al. 2008)] mouse Embryonic Stem Cells before induction of Dicer excision (day 0) and at days 4, 8, 10 and 12 following Dicer loss of function. coverage. Overall design: RNA from whole cell extracts was collected at days 0, 4, 8, 10 and 12 following loss of Dicer function and from the cytoplasmic and nuclear fractions of cell at day 0 and 12. Three biological replicates were obtained for all samples. Poly-adenylated directional 100 base paired-end sequencing libraries were prepared for all extracts and sequenced by BGI solutions (Hong Kong).

Publication Title

Extensive microRNA-mediated crosstalk between lncRNAs and mRNAs in mouse embryonic stem cells.

Sample Metadata Fields

No sample metadata fields

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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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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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