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accession-icon SRP109284
Developmentally-Faithful and Effective Human Erythropoiesis in Immunodeficient and Kit Mutant Mice
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Immunodeficient mouse models have been valuable for studies of human hematopoiesis, but high-fidelity recapitulation of erythropoiesis in most xenograft recipients remains elusive. Recently developed immunodeficient and Kit mutant mice, however, have provided a suitable background to achieve higher-level human erythropoiesis after long-term hematopoietic engraftment. While there has been some characterization of human erythropoiesis in these models, a comprehensive analysis of various developmental stages has not yet been reported. Here, we have utilized cell surface phenotypes, morphologic analyses, and molecular studies to fully characterize human erythropoiesis from multiple developmental stages in immunodeficient and Kit mutant mouse models following long-term hematopoietic stem and progenitor cell engraftment. We show that human erythropoiesis in such models demonstrates complete maturation and enucleation, as well as developmentally appropriate globin gene expression. These results provide a framework for future studies to utilize this model system for interrogating disorders affecting human erythropoiesis and for developing improved therapeutic approaches. Overall design: (mRNA-seq) RNA-seq of human CD235a+ cells isolated 14-16 weeks post-implantation from mouse bone marrow were performed for three biological replicates each of mice xenograted with adult bone marrow-derived human CD34+ cells and cord blood-derived CD34+ cells.

Publication Title

Developmentally-faithful and effective human erythropoiesis in immunodeficient and Kit mutant mice.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE38196
ATFS-1 mediates a protective transcription program during mitochondrial stress
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

ATFS-1 has been shown to regulate transcription of mitochondrial chaperone genes such as mtHsp70/hsp-6 and hsp-60 in response to mitocondrial stress. To identify the entire ATFS-1-mediated response, we compared the transcript profiles from wild-type and atfs-1(tm4525) worms raised in the absence and presence of mitochondrial stress.

Publication Title

Mitochondrial import efficiency of ATFS-1 regulates mitochondrial UPR activation.

Sample Metadata Fields

Specimen part

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accession-icon GSE41839
Expression data from control and LRF (leukemia/lymphoma related factor)-deficient mouse LT-HSCs
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

LRF, which is encoded by the ZBTB7A gene and formerly known as POKEMON (POK erythroid myeloid ontogenic factor), was originally identified as a PLZF (promyelocytic leukemia zinc finger) homologue interacting with BCL6 (B-cell lymphoma 6). LRF is a transcription factor that is broadly expressed in hematopoietic lineage cells, but its expression is particularly high in erythroblasts and germinal center (GC) B-cells. The goal of this study is to assess the effect of LRF loss on the LT-HSC transcriptome. Nine days after injection of adult mice with polyinosinic polycytidylic acid (pIpc) to activate Cre, total RNAs were isolated from double-sorted LT-HSCs from LRF Flox/+ Mx1-Cre+ and LRF Flox/Flox Mx1-Cre+ mice and processed for microarray analysis.

Publication Title

LRF-mediated Dll4 repression in erythroblasts is necessary for hematopoietic stem cell maintenance.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE19599
Expression data for normal flow sorted hematopietic cell subpopulations
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of normal hematopoietic cell subpopulations

Publication Title

Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies.

Sample Metadata Fields

Specimen part

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accession-icon GSE11428
Expression data from LNCaP and abl cells
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. We investigated AR-induced gene expression in prostate cancer cells LNCaP and abl by transfecting siAR / siControl or treating cells with androgen (DHT) over a time course.

Publication Title

Androgen receptor regulates a distinct transcription program in androgen-independent prostate cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP176670
G1E cells infected with control (HMD empty vector), human GATA1, or human GATA1 mutant cDNA
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

G1E cells infected with control (HMD empty vector), human GATA1, or human GATA1 mutant cDNA Overall design: 3 Biological replicates per condition for RNA-seq

Publication Title

Impaired human hematopoiesis due to a cryptic intronic <i>GATA1</i> splicing mutation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE9107
Expression data of Drosophila 3rd instar larval wing discs taken from strains selected for wing shape.
  • organism-icon Drosophila melanogaster
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

We measured gene expression across the whole genome in a panel of lines selected for a wing shape trait (angular offset). The lines were created in separate experiments, originating from two widely separated populations, and including multiple replicates of one population, but all were created using the same selection regime and trait. Here we evaluate the data with two objectives: 1) to identify candidate wing shape genes for future testing and validation, and 2) to assess variation among lines in the outcome of identical selection regimes

Publication Title

Microarray analysis of replicate populations selected against a wing-shape correlation in Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE81217
Gene expression data from MCF7 breast adenocarcinoma cells treated with prolactin and/or bufexamac
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The hormone prolactin is implicated in the pathogenesis of breast cancer, and a subset of prolactin-induced gene expression is mediated by HDAC6 activity.

Publication Title

HDAC6 Deacetylates HMGN2 to Regulate Stat5a Activity and Breast Cancer Growth.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP045378
Quantitative Analysis of Wild Type and Dicer1-ifKO Hippocampal Transcriptomes (mRNA and small RNA) Through Next Generation Sequencing (mRNA-Seq).
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Methods: CaMKIIa-creERT2 (Erdmann et al., 2007) and Dicer1f/f (Harfe et al., 2005) were crossed to produce inducible forebrain-restricted Dicer1 knockout mice (Dicer-ifKO) mice. Hippocampal mRNA profiles of 3-month-old wild-type (WT) and (Dicer-ifKO) mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Each sample included total RNA isolated from the hippocampus of 3 mice. In total, 12 mice per genotype were used. The sequence reads that passed quality filters were mapped to reference genome (GRCm38/mm10) using Bowtie 2 (2.0.5) and TopHat (2.0.6). SAM/BAM files were further processed with Samtools (0.1.18). Read count quantitations were obtained using Seqmonk (0.26.0). Normalization of read counts and differential expression analysis between genotypes was carried out using DESeq2 R package from Bioconductor (Release 2.13). qRT–PCR validation was performed using SYBR Green assays. Results: We mapped about 13-14 million sequence reads per sample to the mouse genome (build GRCm38/mm10) and quantified 76,938 annotated transcripts. DESeq2 R package was used to normalize the counts and perform the differential expression. Differential analysis output was filtered by FDR threshold (padj < 0.1). This approach led us to identify 641 gene isoforms, corresponding to 314 genes that were differentially regulated in the mouse hippocampus upon Dicer ablation. Conclusions: We extend here the characterization of inducible forebrain-restricted Dicer1 mutants confirming the initial memory improvement. Moreover, we describe several novel phenotypes associated with early Dicer loss in the mature brain including an exacerbated response to seizures, increased CA1 neuron excitability, a pronounced weight gain and enhanced induction of immediate early genes (IEGs) in relevant neuronal nuclei. To identify candidate genes that could explain these phenotypes, we conducted two complementary genomic screens for the miRNAs primarily affected and their targets. Overall, our results explain both the initial and late consequences of Dicer loss in excitatory neurons and indicate that Dicer and the miRNA system play a critical role regulating neuronal homeostasis and responsiveness. Overall design: Hippocampal mRNA profiles of 3-month-old wild-type (WT) and Dicer-ifKO (3 weeks upon tamoxifen administration) male mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Each sample included total RNA isolated from the hippocampus of 3 mice. In total, 12 mice per genotype were used.

Publication Title

Blocking miRNA Biogenesis in Adult Forebrain Neurons Enhances Seizure Susceptibility, Fear Memory, and Food Intake by Increasing Neuronal Responsiveness.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE67219
Using human genetic variation to improve red blood cell production from stem cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Multipotent and pluripotent stem cells have significant potential as sources for cell replacement therapies. However, the low yield and quality of in vitro differentiated cells produced from various stem cell sources presents a significant limitation for therapeutic applications. The most mature use of these stem cell products is in the field of transfusion medicine, where stem cell-derived red blood cells (RBCs) have clinically-proven potential as alternative transfusion products. To improve upon current approaches for RBC production, we used insight from both common and rare human genetic variation of blood counts to focus on the SH2B3 gene. By producing loss of function of SH2B3 using targeted knockdown and genome editing approaches in human hematopoietic stem and progenitor cells, as well as human pluripotent stem cells, we are able to significantly improve both the quality and yield of in vitro derived RBCs. We illustrate how insight from human genetic variation can assist in the development of broadly applicable approaches that have tremendous value for regenerative medicine.

Publication Title

Targeted Application of Human Genetic Variation Can Improve Red Blood Cell Production from Stem Cells.

Sample Metadata Fields

Specimen part

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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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