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accession-icon GSE109227
Cerulein induced acute pancreatitis in C57Bl/6J
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

There still is a lack of specific, early markers for acute pancreatitis.

Publication Title

RCAN1 is a marker of oxidative stress, induced in acute pancreatitis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE73022
Inflammation promotes a conversion of astrocytes into neural progenitor cells via NF-kB activation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Brain inflammation, a common feature in neurodegenerative diseases, is a complex series of events, which can be detrimental and even lead to neuronal death. Nonetheless, several studies suggest that inflammatory signals are also positively influencing neural cell proliferation, survival, migration and differentiation. Recently, correlative studies suggested that astrocytes are able to dedifferentiate upon injury, and may thereby re-acquire neural stem cells (NSC) potential. However, the mechanism underlying this dedifferentiation process upon injury remains unclear. In this study, we find that during the early response of reactive gliosis, inflammation induces a conversion of mature astrocytes into neural progenitors. A TNF treatment induces the decrease of specific astrocyte markers, such as GFAP or genes related to glycogen metabolism, while a subset of these cells re-express immaturity markers, such as CD44, Musashi-1 and Oct4. Thus, TNF treatment results in the appearance of cells that exhibit a neural progenitor phenotype and are able to proliferate and differentiate into neurons and/or astrocytes.

Publication Title

Inflammation Promotes a Conversion of Astrocytes into Neural Progenitor Cells via NF-κB Activation.

Sample Metadata Fields

Specimen part

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accession-icon GSE29023
Predict cytogenetic abnormalities with gene expression profiles
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cytogenetic abnormalities (CA) are important clinical parameters in various types of cancer, including multiple myeloma (MM). We developed a model to predict CA in patients with MM using gene expression profiling (GEP) and validated it by different cytogenetic techniques. The model was shown to have an accuracy up to 0.89. These results provide proof of concept for the hypothesis that GEP could serve as a one-stop data source for clinical molecular diagnosis and/or prognosis.

Publication Title

Prediction of cytogenetic abnormalities with gene expression profiles.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE57317
Gene expression profiles of patients with multiple myeloma who have been treated previously
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This Series represents the gene expression profiles of patients with multiple myeloma who have been treated previously. In brief, Total Therapy 6 (TT6) is an open label phase 2 protocol for patients with symptomatic multiple myeloma, who had been treated with more than one cycle of prior therapy excluding autologous hematopoietic stem cell transplant. This protocol was approved by the institutional review board on March 25, 2009 (IRB#108053). The TT6 treatment regimen consists of induction therapy with Melphalan/Bortezomib/Thalidomide/Dexamethasone/Cisplatin/Doxorubicin/Cyclophosphamide/Etoposide (M-VTD-PACE) followed by a high dose M-VTD-PACE based tandem transplant. Maintenance therapy consists of Bortezomib/Lenalidomide/Dexamethasone alternating with Borteomib/Melphalan/Dexamethasone every months for 3 years.

Publication Title

Five gene probes carry most of the discriminatory power of the 70-gene risk model in multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon SRP113813
Transcriptome profiling at day 30 of microRNA-mediated neuronal reprogramming [RNA-seq d30]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Neuronal microRNAs, miR-9/9* and miR-124 (miR-9/9*-124), exert reprogramming activities to direct cell-fate conversion of adult human fibroblasts to post-mitotic neurons and enable the generation of discrete neuronal subtypes with additional transcription factors. Previously, the molecular events underlying the neurogenic switch mediated by microRNAs during neuronal reprogramming were unknown. Here, we systematically dissected the neurogenic state induced by miR-9/9*-124 alone and reveal the surprising capability of miR-9/9*-124 in coordinately stimulating the reconfiguration of chromatin accessibilities, DNA methylation and transcriptome, leading to the generation of functionally excitable neurons, yet unbiased towards a particular subtype-lineage. We show that the microRNA-induced neuronal state enables additional transcription factors, ISL1 and LHX3, to selectively commit conversion to a highly homogenous population of human spinal cord motor neurons. Taken together, our study reveals a modular synergism between microRNAs and transcription factors that allows lineage-specific neuronal reprogramming, providing a platform for generating distinct subtypes of human neurons. Overall design: Human fibroblasts were reprogrammed by microRNAs miR-9/9* and miR-124 (miNs). To profile transcriptome of the reprogrammed cells, mRNA were isolated from miNs day 30 and starting fibroblasts.

Publication Title

MicroRNAs Induce a Permissive Chromatin Environment that Enables Neuronal Subtype-Specific Reprogramming of Adult Human Fibroblasts.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

View Samples
accession-icon GSE38627
Thalidomide in Total Therapy 2 Overcomes Inferior Prognosis of Myeloma with Low Expression of the Glucocorticoid Receptor Gene NR3C1
  • organism-icon Homo sapiens
  • sample-icon 130 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: Because dexamethasone remains a key component of myeloma therapy, we wished to examine the correlation of baseline and relapse expression levels of the glucocorticoid receptor gene NR3C1 with other clinical features. Experimental Design: We investigated the clinical impact of gene expression profiling (GEP)derived expression levels of NR3C1 in 351 patients with GEP data available at baseline and in 130 with data available at relapse, among 668 subjects accrued to Total Therapy 2 (TT2).

Publication Title

Thalidomide in total therapy 2 overcomes inferior prognosis of myeloma with low expression of the glucocorticoid receptor gene NR3C1.

Sample Metadata Fields

Disease, Treatment

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accession-icon SRP169944
Transcriptome analysis of pulmonary CCR2+ inflammatory monocytes challenged with Cryptococcus neoformans
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The encapsulated yeast Cryptococcus neoformans can cause a fatal meningoencephalitis in immunocompromised patients. C. neoformans infection is acquired through the respiratory tract, but the cellular and molecular mechanisms of the pulmonary innate immune response are still not well defined. To investigate the response of CCR2+ inflammatory monocytes to C. neoformans, we compared the transcriptomes of CCR2+ inflammatory monocytes from the lungs of naïve versus infected mice. Overall design: Sorted pulmonary CCR2+ inflammatory monocytes were pooled from 6-7 CCR2-GFP reporter mice per group, including naïve mice and mice challenged with intratracheal Cryptococcus neoformans on days 5 and 10 post-infection.

Publication Title

Inflammatory monocytes are detrimental to the host immune response during acute infection with Cryptococcus neoformans.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE38955
Expression profiling of purified hematopoietic stem cells from patients with MDS and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression analysis on purified human long-term hematopoietic stem cells (LT-HSC; CD34+CD38-CD90+) and short-term HSC (ST-HSC; CD34+CD38-CD90-) derived from healthy control patients and patients with myelodysplastic syndrome (MDS)

Publication Title

Stem and progenitor cells in myelodysplastic syndromes show aberrant stage-specific expansion and harbor genetic and epigenetic alterations.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP159106
The effect of genetic background on cognitive and pathological traits: AD-BXD [dataset 2]
  • organism-icon Mus musculus
  • sample-icon 88 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cg.5XFAD females (MMRRC Stock No #34848-JAX) were bred to males from BXD strains. The resulting F1 progeny were monitored throughout their lifepan to evaluate the effect of genetic background on cognitive and pathological traits. Samples here come from various AD-BXD lines at either 6 or 14 months of age. An earlier dataset of similar design (plus Non-transgenic littermates) was deposited as GSE101144. Ntg littermates of mice sampled here will be deposited as a separate GEO series. Overall design: 88 AD samples. For final by-strain analysis, samples were averaged into strain/age/genotype/sex groups (For example, all D2 6mo 5XFAD males were averaged for final by-strain analysis)

Publication Title

Identification of Pre-symptomatic Gene Signatures That Predict Resilience to Cognitive Decline in the Genetically Diverse AD-BXD Model.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE82307
Clonal selection and double hit events involving tumor suppressor genes underlie relapse from chemotherapy: myeloma as a model
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To elucidate the mechanisms underlying relapse from chemotherapy in multiple myeloma we performed a longitudinal study of 33 patients entered into Total Therapy protocols investigating them using gene expression profiling, high resolution copy number arrays and whole exome sequencing. The study illustrates the mechanistic importance of acquired mutations in known myeloma driver genes and the critical nature of bi-allelic inactivation events affecting tumor suppressor genes, especially TP53. The end result being resistance to apoptosis and increased proliferation rates, which drive relapse by Darwinian type clonal evolution. The number of copy number aberration changes and bi-allelic inactivation of tumor suppressor genes was increased in GEP70 high risk, consistent with genomic instability being a key feature of high risk. In conclusion, the study highlights the impact of acquired genetic events, which enhance the evolutionary fitness level of myeloma propagating cells to survive multi-agent chemotherapy and to result in relapse.

Publication Title

Clonal selection and double-hit events involving tumor suppressor genes underlie relapse in myeloma.

Sample Metadata Fields

Sex, Specimen part, Disease stage

View Samples
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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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