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accession-icon SRP065812
Long non-coding RNAs in psoriatic and healthy skin
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

In this study, we used RNA-sequencing to profile the long non-coding RNA (lncRNA) transcriptome in lesional skin from psoriasis patients before (PP) and after treatment (PT) with adalimumab and in normal skin from healthy individuals (NN). For this we sequenced total RNA from 18 psoriasis patients (before and after treatment) and 16 healthy controls. We created our own reference set of long non-coding RNAs by merging three long non-coding RNA reference data sets. The combined reference had 67,157 lncRNA transcripts with no overlaps. We identified differential expression of 971 lncRNAs between PP and NN, 157 between PP and PT, and 377 between PT and NN. Based on differentially expressed (DE) lncRNAs between PP and NN, we identified a molecular lncRNA signature that distinguishes psoriatic skin from healthy skin . Overall design: We recruited 18 psoriatic patients in our study. We took 5 mm punch biopsies from the edge of a psoriatic plaque before treatment and after one month of treatment with adalimumab. The mean improvement in the PASI over this time period was 53.1%. We obtained sixteen normal skin samples (N=16) from healthy control surgical discard specimens.

Publication Title

Landscape of Long Noncoding RNAs in Psoriatic and Healthy Skin.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP150657
Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human skin consists of multiple cell types, including epithelial, immune, and stromal cells. Transcriptomic analyses have previously been performed from bulk skin samples or from epithelial and immune cells expanded in cell culture. However, transcriptomic analysis of bulk skin tends to drown out expression signals from relatively rare cells while cell culture methods may significantly alter cellular phenotypes and gene expression profiles. To identify distinct transcriptomic profiles of multiple cell populations without substantially altering cell phenotypes, we employed a fluorescence activated cell sorting method to isolate keratinocytes, dendritic cells, CD4+ T effector cells, CD4+ Treg cells, and CD8+ T effector cells from healthy skin samples, followed by RNA-seq of each cell population. Principal components analysis revealed distinct clustering of cell types across samples, while differential expression and coexpression network analyses revealed transcriptional profiles of individual cell populations distinct from bulk skin, most strikingly in the least abundant CD8+ T effector population. Our work provides a high resolution view of cutaneous cellular gene expression and suggests that transcriptomic profiling of bulk skin may inadequately capture the contribution of less abundant cell types. Overall design: Transcriptomic profiles from keratinocyte, dendritic cell, CD4+ T cell, CD4+ Treg cells, and CD8+ T cell populations were obtained from surgical skin discards from 11 healthy adults. Cell populations from whole skin were sorted via FACS and transcripts generated using an Illumina HiSeq 2500 platform. RNA-seq data for the bulk control samples were originally deposited in GEO study GSE74697.

Publication Title

Transcriptional landscape of epithelial and immune cell populations revealed through FACS-seq of healthy human skin.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE18358
Gene Expression Profiling of Glomeruli from a mouse model of Denys-Drash Syndrome
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The Wilms tumor-suppressor gene WT1, a key player in renal development, also has a crucial role in maintenance of the glomerulus in the mature kidney. However, molecular pathways orchestrated by WT1 in podocytes, where it is highly expressed, remain unknown. Their defects are thought to modify the cross-talk between podocytes and other glomerular cells and ultimately lead to glomerular sclerosis, as observed in diffuse mesangial sclerosis (DMS) a nephropathy associated with WT1 mutations.

Publication Title

A murine model of Denys-Drash syndrome reveals novel transcriptional targets of WT1 in podocytes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE39441
Molecular fingerprint of the podocyte reveals novel gene regulatory networks
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The thorough characterization of the transcriptome of endogenous podocytes has been hampered by low yields of cell isolation procedures. Here we introduce a double fluorescent reporter mouse model combined with an optimized bead perfusion protocol and efficient single cell dissociation yielding more than 500,000 podocytes per mouse allowing for global, unbiased downstream applications. Combining mRNA transcriptional profiling revealed programs of highly specific gene regulation tightly controlling cytoskeleton, cell differentiation, endosomal transport and peroxisome function in podocytes. Strikingly, the analyses further predict that these podocyte-specific gene regulatory networks are accompanied by alternative splicing of respective genes. In summary, the presented omics approach will facilitate the discovery and integration of novel gene, protein and organelle regulatory networks that deepen our systematic understanding of podocyte biology.

Publication Title

Molecular fingerprinting of the podocyte reveals novel gene and protein regulatory networks.

Sample Metadata Fields

Specimen part

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accession-icon GSE31176
Expression data from yeast (wild type, rlm1 and swi3 mutants) exposed to Congo Red
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We did transcription profiling on the effect of rlm1 (MAPK Slt2 transcription factor) deletion and swi3 (component of SWI/SNF complex involved in chromatin remodeling) deletion in genes involved in cell wall stress (Congo Red) response.

Publication Title

Chromatin remodeling by the SWI/SNF complex is essential for transcription mediated by the yeast cell wall integrity MAPK pathway.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22649
Transcriptional response on ccw12 mutant from S. cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Ccw12p is a cell surface mannoprotein required for cell wall stability. To investigate the compensation mechanism after CCW12 deletion we analysed the global gene expression in ccw12 mutant cells.

Publication Title

The genetic interaction network of CCW12, a Saccharomyces cerevisiae gene required for cell wall integrity during budding and formation of mating projections.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55945
Gene Expression Profiling of Prostate Benign and Malignant Tissue
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We profiled genome-wide gene expression of human prostate benign and malignant tissue to identify potential biomarkers and immunotherapy targets.

Publication Title

Identification of the transcription factor single-minded homologue 2 as a potential biomarker and immunotherapy target in prostate cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE95038
Expression analysis of CD8+ T cells following high-avidity or low-avidity T cell receptor (TCR) stimulation in the presence or absence of a DOT1L inhibitor
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Adoptive T cell therapy (ACT) is a promising therapeutic approach for cancer patients. The use of allogeneic T cell grafts will improve its applicability and versatility provided that inherent allogeneic responses are controlled. T cell activation is finely regulated by multiple signaling molecules that are transcriptionally controlled by epigenetic mechanisms. Through extensive chemical probe screening, we found that inhibiting DOT1L, a histone H3-lysine 79 methyltransferase, alleviated allogeneic T cell responses.

Publication Title

DOT1L inhibition attenuates graft-versus-host disease by allogeneic T cells in adoptive immunotherapy models.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP127953
Gene expression analysis of human CD8+ T cells treated with a DOT1L inhibitor
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Adoptive T cell therapy (ACT) is a promising therapeutic approach for cancer patients. The use of allogeneic T cell grafts will improve its applicability and versatility provided that inherent allogeneic responses are controlled. Through extensive chemical probe screening, we found that inhibiting DOT1L, a histone H3-lysine 79 methyltransferase, alleviated allogeneic T cell responses. DOT1L inhibition with SGC0946 selectively ameliorated low-avidity T cell responses but not high-avidity antitumor T cell responses mediated by the high-affinity T cell receptor or chimeric antigen receptor. The inhibition of DOT1L in T cells prevented the development of graft-versus-host disease while retaining potent antitumor activity in xenogeneic ACT models. These results suggest that DOT1L inhibition may enable the safe and effective use of allogeneic antitumor T cells by suppressing unwanted immunological reactions in ACT. Overall design: To investigate how DOT1L inhibition modulates the T cell activation signal, we compared gene expression profiles between SGC0946-treated or DMSO-treated (control) T cells by RNA-sequencing analysis. Human CD8+ T cells derived from three different healthy donors were cultured in the presence of SGC0946 or DMSO. Total RNA was collected from each sample and gene expression profiles were analyzed by RNA-sequencing using an Illumina HiSeq 2500 sequencer.

Publication Title

DOT1L inhibition attenuates graft-versus-host disease by allogeneic T cells in adoptive immunotherapy models.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE52560
Pairwise Gene Expression Comparison between Gleason 3 and Gleason 4 Prostate Cancer
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

In this dataset, we report the gene expression of adjacent Gleason 3 and Gleason 4 foci microdissected from the same prostate cancer sample.

Publication Title

Gleason Score 7 Prostate Cancers Emerge through Branched Evolution of Clonal Gleason Pattern 3 and 4.

Sample Metadata Fields

No sample metadata fields

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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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