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accession-icon GSE49995
Gene expression profiling and secretome analysis differentiate Adult-Derived Human Liver Stem/progenitor Cells and human hepatic stellate cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Adult-derived human liver stem/progenitor cells (ADHLSC) are obtained after primary culture of the liver parenchymal fraction. The cells are of fibroblastic morphology and exhibit a hepato-mesenchymal phenotype. Hepatic stellate cells (HSC) derived from the liver non-parenchymal fraction present a comparable morphology as ADHLSC. Because both ADHLSC and HSC are described as liver stem/progenitor cells, we strived to extensively compare both cell populations at different levels and to propose tools demonstrating their singularity.

Publication Title

Gene expression profiling and secretome analysis differentiate adult-derived human liver stem/progenitor cells and human hepatic stellate cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE2817
Wavelet modelling of microarray data provides chromosomal pattern of expression which predicts survival in gliomas
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genetic and epigenetic processes result in gene expression changes through alteration of the chromatin structure. The relative position of genes on chromosomes has therefore important functional implications and can be exploited to model microarray datasets. Gliomas are the most frequent primary brain tumours in adults and their prognosis is related to histology and grade. In oligodendrogliomas, allelic loss of 1p/19q and hypermethylation of MGMT promoter is associated with longer survival and chemosensitivity. In this work we used oligonucleotide microarray to study a group of 30 gliomas with various oligodendroglial and astrocytic components. We used an original approach combining a wavelet model of inter-probe genomic distance (CHROMOWAVE) and unsupervised method of analysis (Singular Value Decomposition) in order to discover new prognostic chromosomal patterns of gene expression. We identified a major pattern of variation that strongly correlated with survival (p= 0.007) and could be visualized as a genome-wide chromosomal pattern including widespread gene expression changes on 1p, 19q, 4, 18, 13 and 9q and multiple smaller clusters scattered along chromosomes. Gene expression changes on chromosomes 1p, 19q and 9q were significantly correlated with the allelic loss of these regions as measured by FISH. Differential expression of genes implicated in drug resistance was also a feature of this chromosomal pattern and in particular low expression of MGMT was correlated with favourable prognosis (p<0.0001). Remarkably, unsupervised analysis of the expression of individual genes and not of their chromosomal ensemble produced a pattern that could not be associated with prognosis, emphasizing the determinant role of the wavelet mathematical modelling.

Publication Title

Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17340
Expression data from Human seminal vesicles
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The human seminal plasma is a potential source of biomarkers for male reproductive disorders. A tissue-profiling analysis of the main organs participating in the secretion of this body fluid was conducted to identify tissue-specific genes along the male reproductive tract.

Publication Title

Identification of genital tract markers in the human seminal plasma using an integrative genomics approach.

Sample Metadata Fields

Specimen part

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accession-icon GSE138236
Expression data in TDEC obtained from irradiated GBM stem cell
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Glioblastomas (GBM) are brain tumors which display a bad prognosis despite conventional treatment associating surgical resection and subsequent radio-chemotherapy. These tumors are defined by an abundant and abnormal vascularization as well as by an important cellular heterogeneity. GBM notably contain a subpopulation of GBM stem-like cells (GSC) which contribute to tumor aggressiveness, resistance, and recurrence. Moreover, GSC directly take part in the formation of new vessels via their transdifferentiation into tumor derived endothelial cells (TDEC). Considering the importance of the vascularization in the GBM, we postulate that radiation could enhance the transdifferentiation of GSC into TDEC. Here, we show that ionizing radiation potentiates endothelial features of TDEC obtained from 3 patient-derived primocultures of GSC. Indeed, TDEC obtained from irradiated GSC (TDEC IR+) migrate more towards VEGF, form more pseudotubes in Matrigel in vitro and develop more functional blood vessel in Matrigel plugs implanted in Nude mice than TDEC obtained from non-irradiated GSC. Transcriptomic analysis allows us to highlight an overexpression of Tie2 in TDEC IR+ which is associated with the activation of AKT signaling pathway. All radiation-induced effects on TDEC IR+ were abolished by using a Tie2 kinase inhibitor, confirming the role of Tie2 signaling pathway in this process. Finally, the number of Tie2+ vessels is increased in recurrent GBM compared with matched untreated tumors. In conclusion, we show that irradiation potentiates proangiogenic features of TDEC throught Tie2/AKT signaling pathway. New therapeutic stategies associating standard teatment and an inhibitor of Tie2 signaling pathway should be considered for forthcoming trials.

Publication Title

Ionizing radiation induces endothelial transdifferentiation of glioblastoma stem-like cells through the Tie2 signaling pathway.

Sample Metadata Fields

Specimen part

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accession-icon SRP087724
Transcriptome of diurnal wild-type neutrophils and neutrophils deficient in cxcr2, cxcr4 and arntl
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our study aims to analyze time-dependent changes in neutrophil phenotype, compare them with included neutrophil-specific mutants, and indentify common signatures among the 5 groups Overall design: Blood neutrophils from wild-type and mutants were isolated based on Ly6G staining, then standard RNA extraction procedures were performed. Wild-type samples were extracted at ZT5 and ZT13, all other samples at ZT5.

Publication Title

A Neutrophil Timer Coordinates Immune Defense and Vascular Protection.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon SRP148415
Profiling of murine resident adipose tissue and aortic macrophages according to their expression status of LYVE-1
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

Beside their role in conventional immune regulation, macrophages are now recognised as essential regulator of local tissue homeostasis depending on the tissue in which they reside. Using phenotyping, we found that LYVE-1+ macrophages are the major resident macrophage population in murine aorta and adipose tissues under steady state. Furthermore, imaging analysis revealed the exclusive association of adipose tissue LYVE-1+ macrophages with smooth muscle positive large blood vessels. Hence, we hypothesize that LYVE-1+ macrophages sustain large vessel functional homeostasis. The present experiment aims to better characterize resident LYVE-1+ vs LYVE-1- macrophages in aorta and adipose tissues. Overall design: LYVE-1+ and LYVE-1- aortic macrophages were FACS sorted as DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1+ and DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1- respectively from 30 adult C57/BL6 mice (n =3) their RNA extracted for transcriptome profiling. Similarly, LYVE-1+ and LYVE-1- adipose tissue macrophages were FACS sorted as DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1+ and DAPI-CD45+CD64+MerTK+CD11b+F4/80+LYVE-1- respectively from 20 adult C57/BL6 epididymal and subcutaneous adipose tissue (n =3) their RNA extracted for transcriptome profiling.

Publication Title

Hyaluronan Receptor LYVE-1-Expressing Macrophages Maintain Arterial Tone through Hyaluronan-Mediated Regulation of Smooth Muscle Cell Collagen.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP114943
Transcriptome of neutrophils deficient in cxcr4 and arntl
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our study aims to analyze time-dependent changes in neutrophil phenotype Overall design: Blood neutrophils were isolated based on Ly6G staining, then standard RNA extraction procedures were performed. This samples were extracted at ZT13.

Publication Title

A Neutrophil Timer Coordinates Immune Defense and Vascular Protection.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP082988
RNAseq transcriptome analysis reveals developmental heterogeneity among mouse bone marrow monocyte subsets
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: In our study, we identified a heterogeneity among bone marrow (BM) Ly6Chi monocytes, which can be subdivided the expression of CXCR4. In order to understand the development of BM monocytes, the goal of this experiment is to compare the transcriptome of these 2 BM Ly6Chi monocyte subsets to those of the common monocyte progenitor (cMoP) and Ly6Clo monocytes. Overall design: 4 BM monocyte subsets (cMoP, Ly6ChiCXCR4hi, Ly6ChiCXCR4lo and Ly6Clo) from 3 different mice were sorted using a BD Aria III. Total RNA was extracted, converted to cDNA and run through deep sequencing using Illumina HiSeq 2500

Publication Title

CXCR4 identifies transitional bone marrow premonocytes that replenish the mature monocyte pool for peripheral responses.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE97594
Genome-wide analysis of gene expression in Panc-1 and BxPC-3 cells subjected to iExosomes treatment and control treatments
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

In this study Panc-1 cells and BxPC-3 cells were cultured. The cells were harvested (untreated control 'cont') for RNA extraction, or treated for 3 hours with various exosomes preparations. The exosomes were collected from BJ human foreskin fibroblast culture supernatant without further processing (control exosomes or 'CE'), or engineered to contain scrambled siRNA ('scr') or KRASG12D siRNA ('iExo). Two or three distinct wells of cells were evaluated per treatment condition and assigned a well number (well -1, -2 or 3).

Publication Title

Generation and testing of clinical-grade exosomes for pancreatic cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE36386
ZNF335 regulates stem cell proliferation and neuronal differentiation via Trithorax complex and REST/NRSF
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Microcephaly gene links trithorax and REST/NRSF to control neural stem cell proliferation and differentiation.

Sample Metadata Fields

Time

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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)

fund-icon Fund the CCDL

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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