refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 125 results
Sort by

Filters

Technology

Platform

accession-icon SRP072203
Single-cell RNA sequencing reveals non-canonical brain macrophage activation states in murine neurotrauma
  • organism-icon Mus musculus
  • sample-icon 45 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: Macrophage polarization programs, commonly referred to as “classical” and “alternative” activation, are widely considered as distinct states that are exclusive of one another, and are associated with different functions such as inflammation and wound healing, respectively. In a number of disease contexts, such as traumatic brain injury (TBI), macrophage polarization influences the extent of pathogenesis, and efforts are underway to eliminate pathogenic subsets. However, previous studies have not distinguished whether the simultaneous presence of both classical and alternative activation signatures represents the admixture of differentially polarized macrophages, or if they have adopted a unique state characterized by components of both classical and alternative activation. Results: We analyzed the polarization of individual macrophages responding to TBI using single-cell RNA sequencing. Analysis of signature polarization genes revealed diverse activation states, including M(IL4), M(IL10), and M(LPS, IFN?). However, the expression of a given polarization marker was no more likely than at random to predict simultaneous expression or repression of markers of another polarization program within the same cell, suggesting a lack of exclusivity in macrophage polarization states in vivo in TBI. Also unexpectedly, individual TBI macrophages simultaneously expressed high levels of signature polarization genes across two or three different polarization states, and in several distinct and seemingly incompatible combinations. Conclusions: Single-cell gene expression profiling demonstrated that monocytic macrophages in TBI are not comprised of distinctly polarized subsets, but are uniquely and broadly activated. TBI macrophage activation in vivo is deeply complex, with individual cells concurrently adopting both inflammatory and reparative features. These data provide physiologically relevant evidence that the early macrophage response to TBI is comprised of novel activation states that are discordant with the current paradigm of macrophage polarization—a key consideration for therapeutic modulation. Overall design: Monocyte derived macrophages were isolated from the ipsilateral hemisphere of mouse brains one day following traumatic brain injury elicited by control cortical impact in C57BL/6 adult male mice. Single-cells were isolated and processed for RNA sequencing using a Fluidigm C1 integrated fluidic circuit chip. 45 biological replicates were analyzed.

Publication Title

Brain trauma elicits non-canonical macrophage activation states.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject

View Samples
accession-icon GSE66473
Expression data from Keap1 overexpression and Nrf2 knockdown lung cancer cell
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Keap1 overexpressed and Nrf2 depleted CL1-5 cells were used to identify genes regulated by Keap1/Nrf2 axis-dependent gene regulations

Publication Title

Keap1-Nrf2 Interaction Suppresses Cell Motility in Lung Adenocarcinomas by Targeting the S100P Protein.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP002237
Natural selection on cis and trans regulation in yeasts
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Gene expression is regulated both by cis elements, which are DNA segments closely linked to the genes they regulate, and by trans activating factors, which are usually proteins capable of diffusing to unlinked genes. Understanding the patterns and sources of regulatory variation is crucial for understanding phenotypic and genome evolution. Here, we investigate the global patterns of gene expression evolution in Saccharomyces cerivisiae. We report statistical methods useful in quantifying cis and trans regulation using next generation sequencing data. Using these methods, measured genome-wide allele-specific expression by deep sequencing to investigate the genetic architecture of gene regulatory variation between two strains of Saccharomyces cerevisiae. We find that expression polymorphism in yeast is common for both cis and trans regulation, though trans variation is more common. Our detailed analyses of the effects of functional constraint on expression variation as indicated by measures such as protein connectivity, gene essentiality, and the ratio of nonsynonymous substitutions to synonymous substitutions clearly reveal that both classes of variation are under purifying selection, but trans variation is more sensitive to selective constraint. Comparing interspecific expression divergence between S. cerevisiae and S. paradoxus to our intraspecific variation suggests that natural selection strongly influences the patterns of variation we observe. Further analyses revealed that cis divergence is more frequently mediated by positive Darwinian selection than trans divergence, which is compatible with neutral evolution. Overall design: Study the gene expression patterns in two strains of yeast (BY and RM)

Publication Title

Natural selection on cis and trans regulation in yeasts.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP014809
Persistent androgen receptor-mediated transcription in castration-resistant prostate cancer under androgen-deprived conditions
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

The androgen receptor (AR) is a ligand-inducible transcription factor that mediates androgen action in target tissues. Upon ligand binding, the AR binds to thousands of genomic loci and activates a cell-type specific gene program. Prostate cancer growth and progression depend on androgen-induced AR signalling. Treatment of advanced prostate cancer through medical or surgical castration leads to initial response and durable remission, but resistance inevitably develops. In castration-resistant prostate cancer (CRPC), AR activity remains critical for tumor growth despite androgen deprivation. While previous studies have focused on ligand-dependent AR signalling, in this study we explore AR function under the androgen-deprived conditions characteristic of CRPC. Our data demonstrate that the AR persistently occupies a distinct set of genomic loci after androgen deprivation in CRPC. These androgen-independent AR occupied regions have constitutively open chromatin structures that lack the canonical androgen response element and are independent of FoxA1, a transcription factor involved in ligand-dependent AR targeting. Many AR binding events occur at proximal promoters, which can act as enhancers to augment transcriptional activities of other promoters through DNA looping. We further show that androgen-independent AR binding directs a distinct gene expression program in CRPC, which is necessary for the growth of CRPC after androgen withdrawal. Overall design: LNCaP, C4-2B, or 22RV1 cells were cultured in hormone-free media for 3 days and then treated with ethanol vehicle or DHT (10nM) for 4h or 16h prior to ChIP-seq or RNA-seq assays. For siRNA transfection, cells were transfected with AR siRNA or control siRNA for 3 days prior to RNA-seq assays.

Publication Title

Androgen receptor-mediated downregulation of microRNA-221 and -222 in castration-resistant prostate cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10521
Specific Roles for the Ccr4-Not Complex Subunits in Expression of the Genome
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

These Affymetrix data were used to determine the role of each non-essential subunit of the conserved Ccr4-Not complex in the control of gene expression in the yeast S. cerevisiae. The study was performed with cells growing exponentially in high glucose and with cells grown to glucose depletion. Specific patterns of gene de-regulation were observed upon deletion of any given subunit, revealing the specificity of each subunits function. Consistently, the purification of the Ccr4-Not complex through Caf40p by tandem affinity purification from wild-type cells or cells lacking individual subunits of the Ccr4-Not complex revealed that each subunit had a particular impact on complex integrity. Furthermore, the micro-arrays revealed that the role of each subunit was specific to the growth conditions. From the study of only two different growth conditions, revealing an impact of the Ccr4-Not complex on more than 85% of all studied genes, we can infer that the Ccr4-Not complex is important for expression of most of the yeast genome.

Publication Title

Specific roles for the Ccr4-Not complex subunits in expression of the genome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP072571
RNA-seq of Odora cells exposed to zinc gluconate
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Zinc is both an essential and potentially toxic metal. It is widely believed that oral zinc supplementation can reduce the effects of the common cold; however, there is strong clinical evidence that intranasal (IN) zinc gluconate (ZG) gel treatment for this purpose causes anosmia, or the loss of the sense of smell, in humans. Using the rat olfactory neuron cell line, Odora, we investigated the molecular mechanism by which zinc exposure exerts its toxic effects on olfactory neurons. Following treatment of Odora cells with 100 and 200 µM ZG for 0-24 h, RNA-seq and in silico analyses revealed up-regulation of pathways associated with zinc metal response, oxidative stress, and ATP production. We observed that Odora cells recovered from zinc-induced oxidative stress, but ATP depletion persisted with longer exposure to ZG. ZG exposure increased levels of NLRP3 and IL-1ß protein levels in a time-dependent manner, suggesting that zinc exposure may cause an inflammasome-mediated cell death, pyroptosis, in olfactory neurons. Overall design: 5 treatment groups, 3 replicates/group, 1 control group, 3 groups treated with 100 µM zinc gluconate for increasing time (6, 12, and 24 h), 1 group treated with 200 µM zinc gluconate for 6 h

Publication Title

Mechanistic studies of the toxicity of zinc gluconate in the olfactory neuronal cell line Odora.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65098
Adiponectin-cre FTO flox/flox and FTO flox/flox mouse white fat tissues
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Single nucleotide polymorphisms in intron 1 of the fat mass and obesity-associated (FTO) gene were found to be associated with an increased risk of adult obesity. Enhanced FTO expression in mice leads to hyperphagia, increased fat mass, and higher body weight. Neuronal-specific FTOdeleted mice have an identical lean body weight phenotype to global FTO-deleted mice. The physiological role of adipose FTO in the homeostasis of energy regulation remains to be elucidated.

Publication Title

Loss of FTO in adipose tissue decreases Angptl4 translation and alters triglyceride metabolism.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE19350
Array-based bioinformatic analysis on pediatric primary central nervous system germ cell tumors
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Pediatric primary central nervous system germ cell tumors of different prognosis groups show characteristic miRNome traits and chromosome copy number variations.

Sample Metadata Fields

Age, Specimen part, Disease

View Samples
accession-icon GSE19348
expression data from pediatric primary intracranial germ cell tumor
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Intracranial pediatric germ cell tumors (GCTs) have different histological differentiations, prognosis and clinical behaviors. Prognosis of patients with germinoma and mature teratoma is good, while patients with other types of GCTs, termed as nongerminomatous malignant germ cell tumors (NGMGCTs), require more extensive drug and irradiation treatment regimen. The mechanisms underlying different prognosis of various GCT subgroups remain elusive. We presented a distinct mRNA profile correlating with GCT histological differentiation and prognosis.

Publication Title

Pediatric primary central nervous system germ cell tumors of different prognosis groups show characteristic miRNome traits and chromosome copy number variations.

Sample Metadata Fields

Age, Specimen part, Disease

View Samples
accession-icon GSE10733
Expression data from skin, dermis, and epidermis of epithelial activated beta-catenin mutant mouse embryo
  • 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

Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.

Sample Metadata Fields

No sample metadata fields

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact