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accession-icon GSE83896
Small molecules increase direct neural conversion of human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Time course micro array experiment to identify transcriptional changes in response to exposure of hFLs to different combinations of small molecules during direct neuronal reprogramming

Publication Title

Small molecules increase direct neural conversion of human fibroblasts.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE69408
Expression data from human HSPCs
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Aging within the human hematopoietic system associates with increased incidence of anemia and myeloid neoplasms, decreased bone marrow (BM) cellularity and reduced adaptive immune responses. Similar phenotypes have been observed in mice and shown, at least in part, to involve hematopoietic stem cells (HSCs). However, evidence supporting such an association within human hematopoiesis is still sparse and prompted us to detail characteristics of human hematopoietic stem and progenitor cells throughout ontogeny.

Publication Title

Human and Murine Hematopoietic Stem Cell Aging Is Associated with Functional Impairments and Intrinsic Megakaryocytic/Erythroid Bias.

Sample Metadata Fields

Specimen part

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accession-icon GSE101388
Differential gene expression array between primary and cultured human bone marrow MSCs
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Investigation of differential gene expression array between primary and cultured human bone marrow MSCs as adherent cells (P0 and P3) or spheres (P0 and P3)

Publication Title

Human Primary Bone Marrow Mesenchymal Stromal Cells and Their in vitro Progenies Display Distinct Transcriptional Profile Signatures.

Sample Metadata Fields

Specimen part

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accession-icon SRP053096
Identification of the miRNA targetome in hippocampal neurons using RIP-seq
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

We established a neuron-specific Argonaute2:GFP-RNA immunoprecipitation followed by high throughput sequencing (AGO2-RIP-seq) to analyse the regulatory role of miRNAs in mouse hippocampal neurons. Using this technique, we identified more than two thousand miRNA target genes in hippocampal neurons, regulating essential neuronal features such as axon guidance and transcription. Furthermore, we found that stable inhibition of the highly expressed miR-124 in hippocampal neurons led to significant changes in the AGO2 binding of target mRNAs, resulting in subsequent upregulation of numerous miRNA target genes. Our data suggest that target redundancies are common among microRNA families. Together, these findings greatly enhance our understanding of the mechanisms and dynamics through which miRNAs regulate their target genes in neurons. Overall design: Analysis of the miRNA targetome in hippocampal neurons after inhibition of 2 different miRNAs. AAV5 injections into the hippocampus of adult C57BL/6 mice producing either of the following under a synapsin promoter: GFP only (Samples beginning with ''GFP124…'' or ''GFP125…''), GFP-miR124sp (Samples beginning with ''miR124…''), GFP-miR125sp (Samples beginning with ''miR125…''), GFP-AGO2-miR292sponge (samples ending with ''…292''), GFP-AGO2-miR124sponge (samples ending with ''…124''), GFP-AGO2-miR125sponge (samples ending with ''…125''). All other samples were sham-injected.

Publication Title

Identification of the miRNA targetome in hippocampal neurons using RIP-seq.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049304
Intrinsic Protection From Leukemic Transformation at The Level of Hematopoietic Stem Cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Genome wide RNA-seq from pGM and HSCs in response to expression of the MLL-ENL fusion gene Overall design: Examination of mRNA abundance in two cell types with or without induction of the MLL-ENL fusion gene (following 48h of culture)

Publication Title

Hematopoietic stem cells are intrinsically protected against MLL-ENL-mediated transformation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE45136
Identification of the chemokine CCL28 as a growth and survival factor for human hematopoietic stem- and progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To discover novel growth factors for hematopoietic stem- and progenitor cells (HSPCs), we have assessed cytokine responses of cord blood (CB)-derived CD34+ cells in a high-content growth factor screen. We identify the immunoregulatory chemokine (C-C motif) ligand 28 (CCL28) as a novel growth factor that directly stimulates proliferation of primitive hematopoietic cells from different ontogenetic origins.

Publication Title

Identification of the chemokine CCL28 as a growth and survival factor for human hematopoietic stem and progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP075920
Human Cactin interacts with DHX8 and SRRM2 to assure efficient pre-mRNA splicing and sister chromatid cohesion.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We analysed whole PolyA+ RNA from human osteosarcoma U2OS cells depleted for human Cactin or transfected with a control shRNA. Overall design: Two independent shRNAs targeting human Cactin (shCac_C and shCac_D), a control shRNA (shCtrl), a single cell line (U2OS)

Publication Title

Human cactin interacts with DHX8 and SRRM2 to assure efficient pre-mRNA splicing and sister chromatid cohesion.

Sample Metadata Fields

Cell line, Treatment, Subject, Time

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accession-icon SRP168433
HSCs contribute actively to native multilineage hematopoiesis but with reduced differentiation capacity upon aging
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

A hallmark of adult hematopoiesis is the continuous replacement of blood cells with limited lifespans. While active hematopoietic stem cell (HSC) contribution to multilineage hematopoiesis is the foundation of clinical HSC transplantation, recent reports have questioned the physiological contribution of HSCs to normal/steady-state adult hematopoiesis. Here, we use inducible lineage tracing from genetically marked adult HSCs and reveal robust HSC-derived multilineage hematopoiesis. This commences via defined progenitor cells, but varies substantially in between different hematopoietic lineages. By contrast, adult HSC contribution to hematopoietic cells with proposed fetal origins is neglible. Finally, we establish that the HSC contribution to multilineage hematopoiesis declines with increasing age. Therefore, while HSCs are active contributors to native adult hematopoiesis, it appears that the numerical increase of HSCs is a physiologically relevant compensatory mechanism to account for their reduced differentiation capacity with age Overall design: Lineage tracing from adult/aged HSCs in steady state

Publication Title

Murine HSCs contribute actively to native hematopoiesis but with reduced differentiation capacity upon aging.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE22552
Transcriptome of the maturing erythroblast
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the pattern of gene expression and identifying the specific genes expressed during erythropoiesis is crucial for a synthesis of erythroid developmental biology. Here we have isolated four distinct populations of erythroblasts at successive erythropoietin-dependent stages of erythropoiesis including the terminal, pyknotic stage. The transcriptome has been determined using Affymetrix arrays. First, we show that cells sorted by surface expression profile express not only significantly fewer genes than unsorted cells, but also significantly more differences in the expression levels of particular genes between stages than unsorted cells, demonstrating the importance of working with defined cell populations to identify lineage and temporally-specific patterns of gene expression. Second, using standard software and matched filtering we identify eleven differentially regulated genes and one continuously expressed gene previously undetected in erythroid expression studies with unknown roles in erythropoiesis (CA3, CALB1, CTSL2, FKBP1B, GSDMB, ITLN1, LIN7B, RRAD, RUNDC3A, UNQ1887, ZNF805, MYL12B). Finally, using transcription factor binding site analysis we identify potential transcription factors that may regulate gene expression during terminal erythropoiesis. Our stringent lists of differentially regulated and continuously expressed transcripts are a resource for functional studies of erythropoietic protein function and gene regulation.

Publication Title

Global gene expression analysis of human erythroid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon SRP024272
The tetraspanin CD9 affords high purity capture of all murine hematopoietic stem cells.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Prospective isolation is critical to understand the cellular and molecular aspects of stem cell heterogeneity. Here we identify the cell surface antigen CD9 as a novel positive marker that provides a simple alternative for hematopoietic stem cell-isolation at high purity Overall design: mRNA profiles of LT and ST HSCs

Publication Title

The tetraspanin CD9 affords high-purity capture of all murine hematopoietic stem cells.

Sample Metadata Fields

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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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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