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accession-icon SRP201811
Lentiviral CRISPR Epigenome Editing of Inflammatory Receptors as a Gene Therapy Strategy for Disc Degeneration
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: Degenerative disc disease (DDD) is a primary contributor to low back pain, a leading cause of disability. Progression of DDD is aided by inflammatory cytokines in the intervertebral disc (IVD), particularly TNF-a and IL-1ß, but current treatments fail to effectively target this mechanism. The objective of this study was to explore the feasibility of CRISPR epigenome editing based therapy for DDD, by modulation of TNFR1/IL1R1 signaling in pathological human IVD cells. Methods: Human IVD cells from the nucleus pulposus of patients receiving surgery for back pain were obtained and the regulation of TNFR1/IL1R1 signaling by a lentiviral CRISPR epigenome editing system was tested. These cells were tested for successful lentiviral transduction/expression of dCas9-KRAB system and regulation of TNFR1/IL1R1 expression. TNFR1/IL1R1 signaling disruption was investigated via measurement of NF-?B activity, apoptosis, and anabolic/catabolic changes in gene expression post inflammatory challenge. Results: CRISPR epigenome editing systems were effectively introduced into pathological human IVD cells and significantly downregulated TNFR1 and IL1R1. This downregulation significantly attenuated deleterious TNFR1 signaling but not IL1R1 signaling. This is attributed to less robust IL1R1 expression downregulation, and IL-1ß driven reversal of IL1R1 expression downregulation in a portion of patient IVD cells. Additionally, RNAseq data indicated a novel transcription factor targets, IRF1 and TFAP2C, as being a primary regulators of inflammatory signaling in IVD cells. Discussion: These results demonstrate the feasibility of CRISPR epigenome editing of inflammatory receptors in pathological IVD cells, but highlight a limitation in epigenome targeting of IL1R1. This method has potential application as a novel gene therapy for DDD, to attenuate the deleterious effect of inflammatory cytokines present in the degenerative IVD. Overall design: Patient nucleus pulposus cells (TNFR1kd and nontargeting control) were analyzed by RNA-seq with and without TNF-a treatment.

Publication Title

Lentiviral CRISPR Epigenome Editing of Inflammatory Receptors as a Gene Therapy Strategy for Disc Degeneration.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Subject

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accession-icon GSE18983
Effect of the explosive compound TNT on wild type seedlings
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The aim of this experiment was to identify the genes involved in the detoxification of the toxic pollutant and explosive compound 2,4,6-trinitrotolune (TNT). Fourteen-day-old, liquid culture grown, Arabidopsis seedlings, ecotype Col0 (NASC stock code N1093), were dosed with 60 uM TNT dissolved in 60 ul dimethyl formamide (DMF) solvent, or 60 ul DMF only. After six hours, RNA was extracted and used for the microarray analysis. Further details and characterisation of glucosyltransferases identified using this method are presented in citation below.

Publication Title

Detoxification of the explosive 2,4,6-trinitrotoluene in Arabidopsis: discovery of bifunctional O- and C-glucosyltransferases.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP053038
Purification and transcriptomic analysis of mouse fetal Leydig cells reveals candidate genes for disorders of sex development
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

To examine the transcriptome of early testicular somatic cells during gonadogenesis at 12.5dpc RNA sequencing (RNA-Seq) was performed on murine primary testicular cell lineages isolated from the Sf1-eGFP line by FACS. The three main somatic cell lineages of the testis were isolated: the Sertoli cells which direct male development; the fetal Leydig cells (FLCs) that produce steroid hormones and virilise the XY individual and a heterogenous population of interstitial cells, some of which give rise to the adult Leydig cells (ALCs). This dataset provides a platform for exploring the biology of FLCs and understanding the role of these cells in testicular development and masculinization of the embryo, and a basis for targeted studies designed to identify causes of idiopathic XY DSD. Overall design: RNA-Seq of 3 enriched cell populations from 12.5dpc mouse gonad (Sertoli cells, Leydig cells and Interstitial cells isolated by FACS-sorting) on an Illumina HiSeq 1500, in triplicate.

Publication Title

Purification and Transcriptomic Analysis of Mouse Fetal Leydig Cells Reveals Candidate Genes for Specification of Gonadal Steroidogenic Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26663
Impact of exercise training on endothelial transcriptional profiles in healthy swine: A genome-wide microarray analysis
  • organism-icon Sus scrofa
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

While the salutary effects of exercise training on conduit artery endothelial cells have been reported in animals and humans with cardiovascular risk factors or disease, whether a healthy endothelium is alterable with exercise training is less certain. The purpose of this study was to evaluate the impact of exercise training on transcriptional profiles in normal endothelial cells using a genome-wide microarray analysis. Brachial and internal mammary endothelial gene expression was compared between a group of healthy pigs that exercise-trained for 16-20 weeks (n=8) and a group that remained sedentary (n=8). We found that a total of 130 genes were up regulated and 84 genes down regulated in brachial artery endothelial cells with exercise training. In contrast, a total of 113 genes were up regulated and 31 genes down regulated in internal mammary artery endothelial cells (>1.5-fold and false discovery rate<15%). Although there was an overlap of 66 genes (59 up regulated and 7 down regulated with exercise training) between the brachial and internal mammary arteries, the identified endothelial gene networks and biological processes influenced by exercise training were distinctly different between the brachial and internal mammary arteries. These data indicate that a healthy endothelium is indeed responsive to exercise training and support the concept that the influence of physical activity on endothelial gene expression is not homogenously distributed throughout the vasculature.

Publication Title

Impact of exercise training on endothelial transcriptional profiles in healthy swine: a genome-wide microarray analysis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon E-MEXP-185
Transcription profiling by array of Arabidopsis mutant for INO80
  • organism-icon Arabidopsis thaliana
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The transcriptome of the three atino80 allelic mutants was compared to that of wild-type and 50B Arabidopsis plants (see Fritsch et al. 2004). Since the transcriptomes of 50B and wild-type plants were found to be identical, we compared expression in the mutant with 50B and with wild-type without distinction. Therefore, we had four replicates of the wild type condition (50B line, wild-type) and two replicates for each of the mutant alleles (atino80-1, atino80-2 and atino80-3), all ecotype Columbia. All lines were profiled in duplicate (grown independently at 2-week-intervals).

Publication Title

The INO80 protein controls homologous recombination in Arabidopsis thaliana.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE32223
Transcriptional profile of ER71 EYFP positive/negative cells in ER71 WT and MT embryos
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

ER71 mutant embryos are nonviable and lack hematopoietic and endothelial lineages. To further define the functional role for ER71 in cell lineage decisions, we generated genetically modified mouse models. We engineered an ER71-EYFP transgenic mouse model by fusing the 3.9 kb ER71 promoter to the EYFP reporter gene. Using FACS and transcriptional profiling, we examined the EYFP+ populations of cells in ER71 mutant and wildtype littermates. In the absence of ER71, we observed an increase in the number of EYFP expressing cells, increased expression of the cardiac molecular program and decreased expression of the hemato-endothelial program compared to the wildtype littermate controls. We have also generated a novel ER71-Cre transgenic mouse model using the same 3.9 kb ER71 promoter. Genetic fate mapping studies revealed that the ER71 expressing cells daughter hematopoietic and endothelial lineages in the wildtype background. In the absence of ER71, these cell populations contributed to alternative mesodermal lineages including the cardiac lineage. To extend these analyses, we used an inducible ES/EB system and observed that ER71 overexpression repressed cardiogenesis. Together, these studies identify ER71 as a critical regulator of mesodermal fate decisions, acting to specify the hematopoietic and endothelial lineages at the expense of cardiac lineages. This enhances our understanding of the mechanisms that govern mesodermal fate decisions early during embryogenesis.

Publication Title

ER71 directs mesodermal fate decisions during embryogenesis.

Sample Metadata Fields

Specimen part

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accession-icon SRP073813
RNA-sequencing of human post-mortem brain tissues
  • organism-icon Homo sapiens
  • sample-icon 335 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq profiling was conducted on clinically-annotated human post-mortem brain tissues Overall design: We measured the transcriptome in 281 clinically-annotated human post-mortem brain tissues

Publication Title

Post-mortem molecular profiling of three psychiatric disorders.

Sample Metadata Fields

Sex, Specimen part, Race, Subject

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accession-icon SRP104149
Functional astrocytes differentiated from hiPSCs
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Growing evidence implicates the importance of glia, particularly astrocytes, in neurological and psychiatric diseases. Here, we describe a rapid and robust method for the differentiation of highly pure populations of astrocytes from human induced pluripotent stem cells (hiPSCs), via a neural progenitor cell (NPC) intermediate. Using this method, we generated hiPSC-derived astrocyte populations (hiPSC-astrocytes) from 42 NPC lines (derived from 30 individuals) with an average of ~90% S100ß-positive cells. Transcriptomic analysis demonstrated that the hiPSC-astrocytes are highly similar to primary human fetal astrocytes and characteristic of a non-reactive state. hiPSC-astrocytes respond to inflammatory stimulants, display phagocytic capacity and enhance microglial phagocytosis. hiPSC-astrocytes also possess spontaneous calcium transient activity. Our novel protocol is a reproducible, straightforward (single media) and rapid (<30 days) method to generate homogenous populations of hiPSC-astrocytes that can be used for neuron-astrocyte and microglia-astrocyte co-cultures for the study of neuropsychiatric disorders. Overall design: 6 hiPSC-derived astrocyte lines were generated. Total RNA were extracted from these hiPSC-astrocytes as well as 2 primary astrocyte lines and analyzed by RNA sequencing.

Publication Title

An Efficient Platform for Astrocyte Differentiation from Human Induced Pluripotent Stem Cells.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE76705
Complex Disease Subtypes Identified by Network-Based Clustering of Gene Expression Data: Application to COPD
  • organism-icon Homo sapiens
  • sample-icon 226 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

One of the most common smoking-related diseases, chronic obstructive pulmonary disease (COPD), results from a dysregulated, multi-tissue inflammatory response to cigarette smoke. We hypothesized that systemic inflammatory signals in genome-wide blood gene expression can identify clinically important COPD-related disease subtypes, and we leveraged pre-existing gene interaction networks to guide unsupervised clustering of blood microarray expression data. Using network-informed non-negative matrix factorization, we analyzed genome-wide blood gene expression from 229 former smokers in the ECLIPSE Study, and we identified novel, clinically relevant molecular subtypes of COPD. These network-informed clusters were more stable and more strongly associated with measures of lung structure and function than clusters derived from a network-nave approach, and they were associated with subtype-specific enrichment for inflammatory and protein catabolic pathways. These clusters were successfully reproduced in an independent sample of 135 smokers from the COPDGene Study.

Publication Title

COPD subtypes identified by network-based clustering of blood gene expression.

Sample Metadata Fields

Sex, Age

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accession-icon GSE47864
The dual pathway inhibitor rigosertib is effective in direct-patient tumor xenografts of head and neck squamous cell carcinomas
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Rigosertib treatment of head and neck squamous cell cancer

Publication Title

The dual pathway inhibitor rigosertib is effective in direct patient tumor xenografts of head and neck squamous cell carcinomas.

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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