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GSE5543
Homo sapiens
6 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
PURPOSE. To determine global mRNA expression levels in the corneal and conjunctival epithelia and identify transcripts that exhibit preferential tissue expression.
Publication Title
Comparative analysis of human conjunctival and corneal epithelial gene expression with oligonucleotide microarrays.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Side population (SP) cells isolated from limbal and conjunctival epithelia derive from cells that are slow cycling in vivo, a known feature of tissue stem cells. The purpose of this study was to define the molecular signature of the conjunctival side population cells by global differential gene expression to identify markers and signaling pathways associated with this cell phenotype.
Publication Title
Molecular profiling of conjunctival epithelial side-population stem cells: atypical cell surface markers and sources of a slow-cycling phenotype.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Microarray was used to study global gene expression of a cell culture model based on SV40-immortalized human corneal epithelial (iHCE) cells. The gene expression profile of the cell line was compared to the normal human corneal epithelium. Affymetrix HG-U133A GeneChips were used for microarray experiments and results were validated by performing RT-qPCR for selected genes. iHCE was found to over- and under-express 22 % and 14 % of the annotated genes, respectively. The results of this study suggest that differences between iHCE cells and normal corneal epithelium are substantial and therefore the use of these cells in corneal research should be considered with caution.
Publication Title
Gene expression analysis in SV-40 immortalized human corneal epithelial cells cultured with an air-liquid interface.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 14 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
G-CSF regulates hematopoietic stem cell activity, in part, through activation of Toll-like receptor signaling.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 8 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Recent studies demonstrate that inflammatory signals regulate hematopoietic stem cells (HSCs). Granulocyte-colony stimulating factor (G-CSF) is often induced with infection and plays a key role in the stress granulopoiesis response. However, its effects on HSCs are less clear. Herein, we show that treatment with G-CSF induces expansion and increased quiescence of phenotypic HSCs, but causes a marked, cell-autonomous HSC repopulating defect associated with induction of toll-like receptor (TLR) expression and signaling. The G-CSF-mediated expansion of HSCs is reduced in mice lacking TLR2, TLR4 or the TLR signaling adaptor MyD88. Induction of HSC quiescence is abrogated in mice lacking MyD88 or in mice treated with antibiotics to suppress intestinal flora. Finally, loss of TLR4 or germ free conditions mitigates the G-CSF-mediated HSC repopulating defect. These data suggest that low level TLR agonist production by commensal flora contributes to the regulation of HSC function and that G-CSF negatively regulates HSCs, in part, by enhancing TLR signaling.
Publication Title
G-CSF regulates hematopoietic stem cell activity, in part, through activation of Toll-like receptor signaling.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Recent studies demonstratethat inflammatory signals regulate hematopoietic stem cells (HSCs). Granulocyte-colony stimulating factor (G-CSF) is often induced with infection and plays a key role in the stress granulopoiesis response. However, its effects on HSCs are less clear. Herein, we show that treatment with G-CSF induces expansion and increased quiescence of phenotypic HSCs, but causes a marked, cell-autonomous HSC repopulating defect associated with induction of toll-like receptor (TLR) expression and signaling. The G-CSF-mediated expansion of HSCs is reduced in mice lacking TLR2, TLR4 or the TLR signaling adaptor MyD88. Induction of HSC quiescence is abrogated in mice lacking MyD88 or in mice treated with antibiotics to suppress intestinal flora. Finally, loss of TLR4 or germ free conditions mitigates the G-CSF-mediated HSC repopulating defect. These data suggest that low level TLR agonist production by commensal flora contributes to the regulation of HSC function and that G-CSF negatively regulates HSCs, in part, by enhancing TLR signaling.
Publication Title
G-CSF regulates hematopoietic stem cell activity, in part, through activation of Toll-like receptor signaling.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 20 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Expression profiles in mouse liver exposed to long-term gamma-irradiation were examined to assess in vivo effects of low dose-rate radiation. Three groups of male C57BL/6J mice were exposed to whole body irradiation at dose-rates of 17-20 mGy/day, 0.86-1.0 mGy/day or 0.042-0.050 mGy/day for 401-485 days (cumulative doses were approximately 8 Gy, 0.4 Gy or 0.02 Gy, respectively).
Publication Title
Gene expression profiles in mouse liver after long-term low-dose-rate irradiation with gamma rays.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 15 Downloadable Samples
NextSeq 500
Description
Hematopoietic Stem/Progenitor cells (HSPCs) are endowed with the role of maintaining a diverse pool of blood cells throughout the human life. Despite recent efforts, the nature of the early cell fate decisions remains contentious. Using single-cell RNA-Seq, we show that existing approaches to stratify bone marrow CD34+ cells reveal a hierarchically-structured transcriptional landscape of hematopoietic differentiation. Still, this landscape misses important early fate decisions. We here provide a broader transcriptional profiling of bone marrow lineage negative hematopoietic progenitors that recovers a key missing branchpoint into basophils and expands our understanding of the underlying structure of early adult human haematopoiesis. We also show that this map has strong similarities in topology and gene expression to that found in mouse. Finally, we identify the sialomucin CD164, as a reliable marker for the earliest branches of HSPCs specification and we showed how its use can foster the design of alternative transplantation cell products. Overall design: Single-cell mRNA sequencing of freshly isolated hematopoietic progenitors from human bone marrow. Sample HSC (Donor A) represents 1282 single cells. Sample MPP (Donor A) represents 215 single cells. Sample MLP (Donor A) represents 123 single cells. Sample PreB/NK (Donor A) represents 592 single cells. Sample MEP (Donor A) represents 1211 single cells. Sample CMP (Donor A) represents 1576 single cells. Sample GMP (Donor A) represents 1012 single cells. Sample Lin-CD34+CD164+ (Donor B) represents 6343 single cells. Sample Lin-CD34-CD164high (Donor B) represents 4434 single cells. Sample Lin-CD34lowCD164high (Donor B) represents 4266 single cells. Sample Lin-CD34-CD164low (Donor B) represents 358 single cells.
Publication Title
A comprehensive single cell transcriptional landscape of human hematopoietic progenitors.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 5 Downloadable Samples
- NextSeq 500
Description
The bone marrow microenvironment is composed of heterogeneous cell populations of non-hematopoietic cells with complex phenotypes and undefined trajectories of maturation. Among them, mesenchymal cells maintain the production of stromal, bone, fat and cartilage cells. Resolving these unique cellular subsets within the bone marrow remains challenging. Here, we used single-cell RNA-sequencing of non-hematopoietic bone marrow cells to define specific subpopulations. Furthermore, by combining computational prediction of the cell state hierarchy with known expression of key transcription factors, we mapped differentiation paths to the osteocyte, chondrocyte, and adipocyte lineages. Finally, we validated our findings using lineage-specific reporter strains and targeted knockdowns. Our analysis reveals differentiation hierarchies for maturing stromal cells, determines key transcription factors along these trajectories, and provides an understanding of the complexity of the bone marrow microenvironment. Overall design: Single-cell mRNA sequencing of stromal cells from mouse bone marrow. Sample Stroma1 represents 948 final filtered single cells. Sample Stroma2 represents 1899 final filtered single cells.
Publication Title
Mapping Distinct Bone Marrow Niche Populations and Their Differentiation Paths.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 3 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Analysis of rapamycin effects on white adipose tissue at gene expression level. The hypothesis tested in the present study was that rapamycin could modify immune cell composition and inflammatory state of the adipose tissue of obese mice.
Publication Title
Beneficial metabolic effects of rapamycin are associated with enhanced regulatory cells in diet-induced obese mice.
Sample Metadata Fields
Age, Specimen part
View Samples