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accession-icon GSE11631
PU.1 a pleiotropic regulator expressed in the first embryonic stages with a crucial function in germinal progenitors
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

In the adult mammalian testis, spermatogenic differentiation starts from a minute population of spermatogonial stem cells (SSCs). SSCs are generated after birth from the fetal gonocytes, themselves derived from the primordial germ cells (PGCs), which are specified during the first days after implantation. Transcriptome profiling of purified preparations evidenced the preferential accumulation in SSCs of transcripts of PU.1 (Sfpi1), a regulatory gene previously identified in hematopoietic progenitors. In situ immunolabeling and RNA determination showed a complex pattern of expression in the adult testis, first in SSCs and early spermatogonia followed by de novo expression in pachytene spermatocytes.

Publication Title

PU.1 (Sfpi1), a pleiotropic regulator expressed from the first embryonic stages with a crucial function in germinal progenitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE113815
PD-1 through asparaginyl endopeptidase regulates FoxP3 Stability in Induced Regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

CD4+ T cell differentiation into multiple T helper lineages is critical for optimal adaptive immune responses. This report identified a novel intrinsic mechanism by which PD-1 signaling imparted regulatory phenotype to FoxP3+ Th1 cells (denoted as Tbet+iTregPDL1 cells) and iTregs. Tbet+iTregPDL1 cells were capable of preventing inflammation in murine models of experimental colitis and experimental graft versus host disease. PDL-1 binding to PD-1 imparted regulatory function to Tbet+iTregPDL1 cells and iTregs by specifically downregulating an endolysosomal protease asparaginyl endopeptidase (AEP)

Publication Title

PD-1 Inhibitory Receptor Downregulates Asparaginyl Endopeptidase and Maintains Foxp3 Transcription Factor Stability in Induced Regulatory T Cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP161949
Profiling of gene expression using RNA-Seq in fibroblasts, iPSCs, iPSC-derived neurons and cells overexpressing Onecut transcription factors
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Remodeling of chromatin accessibility is necessary for successful reprogramming of fibroblasts to neurons. However, it is still not fully known which transcription factors can induce a neuronal chromatin accessibility profile when overexpressed in fibroblasts. To identify such transcription factors, we here used ATAC-sequencing to generate differential chromatin accessibility profiles between human fibroblasts and iNeurons, an in vitro neuronal model system obtained by overexpression of Neurog2 in induced pluripotent stem cells (iPSCs). We found that the ONECUT transcription factor sequence motif was strongly associated with differential chromatin accessibility between iNeurons and fibroblasts. All three ONECUT transcription factors associated with this motif (ONECUT1, ONECUT2 and ONECUT3) induced neuronal morphology and expression of neuronal genes within two days of overexpression in fibroblasts. We observed widespread remodeling of chromatin accessibility; in particular, we found that chromatin regions that contain the ONECUT motif were in- or lowly accessible in fibroblasts and became accessible after the overexpression of ONECUT1, ONECUT2 or ONECUT3. There was substantial overlap with iNeurons, still, many regions that gained accessibility following ONECUT overexpression were not accessible in iNeurons. Our study highlights the potential of ONECUT transcription factors for direct neuronal reprogramming. Overall design: Each RNA-Seq experiment was performed in duplicate (library constructed from different wells of the same cell line in the same cell culture experiment). Bclxl controls were generated for the overexpression. experiments.

Publication Title

ONECUT transcription factors induce neuronal characteristics and remodel chromatin accessibility.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP109011
Multipotent Peripheral Glial Cells Generate Neuroendocrine Cells of the Adrenal Medulla
  • organism-icon Mus musculus
  • sample-icon 768 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cells producing adrenalin are largely derived from nerve-associated Schwann cell precursors via an intermediate progenitor “bridge” cell. We demonstrate that large numbers of chromaffin cells arise from peripheral glial stem cells, termed Schwann cell precursors (SCPs) Overall design: SCPs migrate along the visceral motor nerve to the vicinity of the forming adrenal gland where they detach from the nerve and form post-synaptic neuroendocrine chromaffin cells. An intricate molecular logic drives two sequential phases of gene expression, one unique for a distinct transient cellular state and another for cell-type specification. Subsequently, these programs downregulate SCP- and upregulate chromaffin-cell-gene networks. The adrenal medulla forms through limited cell expansion and requires the recruitment of numerous SCPs. Thus, peripheral nerves serve as a stem cell niche for neuroendocrine system development.

Publication Title

RNA velocity of single cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP150534
Metabolic labeling of Hek293 cells using 4-thiouracil
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Hek293 cells were metabolically labelled using 4-thiouracil as described in (Schwalb et al, Science. 2016 Jun 3;352(6290):1225-8) but without fragmentation, and then bulk RNA was prepared for sequencing using the STRT method (Islam et al, Genome Res. 2011 Jul;21(7):1160-7). Samples were incubated in duplicate for 5, 15 and 30 minutes and included an unlabeled control representing the steady-state expression state. Overall design: 2 samples each of 4 incubation times, 2 cDNA preparations, 2 tagmentation replicates, and 2 biological replicates

Publication Title

RNA velocity of single cells.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP159661
Transcriptome Profiling of PanIN Cells Exposed to Tobacco Carcinogen
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goals of this study are to compare transcriptome profiling (RNA-seq) in pancreatic intraepithelial neoplasm (PanIN) cells exposed to tobacco-specific nitrosamine 4-(methyl nitrosamino)-1-(3-pyridyl)-1-butanone (NNK) and to examine the upregulated pathways. Overall design: Methods: Total RNA was isolated from PanIN cells treated with tobacco specific nitrosamine 4-(methyl nitrosamino)-1-(3-pyridyl)-1-butanone (NNK) for 5 and 50 days. Samples were processed for RNA-seq using standard methods on the Illumina HiSeq 2000 platform. Sequencing was performed in two multiplexed lanes of 100-bp single-end sequencing, which resulted in 75 million mappable reads per lane. The Illumina pipeline was used for base calling and quality filtering of sequence reads. Transcript assembly and abundance estimates of transcripts in fragments per kilobase of exon per million fragments mapped (FPKM) were performed by Cufflinks. Significant differences in total gene and transcript expression, splice site, transcription start site (TSS) and promoter usage were determined using a false discovery rate (FDR)-adjusted P-value. This study provides a framework for understanding transcriptional changes when pancreas cells exposed to tobacco specific nitrosamine.

Publication Title

Tobacco Carcinogen-Induced Production of GM-CSF Activates CREB to Promote Pancreatic Cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon SRP071973
Integrated transcriptional analysis unveils the dynamics of cellular differentiation in the developing mouse hippocampus
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The ability to assign expression patterns to individual cell types that constitute a tissue is a major challenge in RNA expression analysis. This especially applies to brain given the plethora of different cells coexisting in that tissue. Here, we derived cell-type specific transcriptome signatures from existing single cell RNA data and integrated these signatures with a newly generated dataset of expression (bulk RNA-seq) of the postnatal developing hippocampus. This integrated analysis allowed us to provide a comprehensive and unbiased prediction of the differentiation drivers for 10 different hippocampal cell types and describe how the different cell types interact to support crucial developmental stages. Our integrated analysis provides a reliable resource of predicted differentiation drivers and insight into the multifaceted aspects of the cells in hippocampus during development. Overall design: 21 RNA-seq samples. For the stages E15, P1, P7, P15, and P30, there are respectively 3, 4, 3, 3, and 6 RNA-seq biological replica (total 19). One RNA-seq sample has two technical replica.

Publication Title

Integrated transcriptional analysis unveils the dynamics of cellular differentiation in the developing mouse hippocampus.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE59983
Gene expression profiling of primary human retinoblastoma
  • organism-icon Homo sapiens
  • sample-icon 76 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Background

Publication Title

Loss of photoreceptorness and gain of genomic alterations in retinoblastoma reveal tumor progression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64468
Molecular mechanism of flocculation self-recognition in yeast and its role in mating and survival
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Saccharomyces cerevisiae flocculation occurs when fermentable sugars are limiting and is therefore considered as a way to enhance the survival chance of Flo-expressing yeast cells. In this paper, the role of Flo1p in mating was demonstrated by showing that the mating efficiency, which contributes to the increased survival rate as well by generating genetic variability, is increased when cells flocculate. This was revealed by liquid growth experiments in a low shear environment and differential transcriptome analysis of FLO1 expressing cells compared to the non-flocculent wild-type cells. The results show that a floc provides a uniquely organized multicellular ultrastructure that provides a suitable microenvironment to induce and perform cell conjugation.

Publication Title

Molecular mechanism of flocculation self-recognition in yeast and its role in mating and survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77094
Gene expression profiles of retinoblastoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

In order to identify the gene targets of frequently altered chromosomal regions in retinoblastoma, a meta-analysis of genome-wide copy number alterations studies on primary retinoblastoma tissue and retinoblastoma cell lines was performed. Published studies were complemented by copy number and gene expression analysis on primary and cell line samples of retinoblastoma. This dataset includes the gene expression data of the retinoblastoma cell lines

Publication Title

A Meta-Analysis of Retinoblastoma Copy Numbers Refines the List of Possible Driver Genes Involved in Tumor Progression.

Sample Metadata Fields

Specimen part, Cell line

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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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