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accession-icon GSE39925
Transcriptional characterization of a prospective series of primary plasma cell leukemia revealed genes associated with tumor progression and poorest outcome
  • organism-icon Homo sapiens
  • sample-icon 76 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Plasma cell leukemia (PCL) is a rare form of plasma cell dyscrasia that presents either as a progression of previously diagnosed multiple myeloma (MM), namely secondary PCL (sPCL), or as the initial manifestation of disease, namely primary PCL (pPCL). Although presenting signs and symptoms include those seen in MM, pPCL is characterized by several aspects that clearly define more aggressive course. To provide insights into the biology of pPCL, we have investigated the transcriptional profiles of a cohort of 21 newly-diagnosed, homogeneously treated pPCL patients included in a multicenter prospective clinical trial. All but one pPCL had one of the main IGH translocations, whose associated transcriptional signatures resembled those observed in MM. A 503-gene signature was identified that distinguished pPCL from MM, from which emerged 28 genes whose trend in expression levels was found associated with the progressive stages of plasma cell dyscrasia in a large dataset of cases from multiple institutions, including samples from normal donors throughout PCL. The transcriptional pattern of the pPCL series was then evaluated in association with outcome. Three genes were identified having expression levels correlated with response to the first-line treatment with lenalidomide/dexamethasone, whereas a 27-gene signature was identified associated with overall survival independently of molecular alterations, hematological parameters and renal function. Overall, our data contribute to a fine dissection of pPCL and may provide novel insights into the molecular definition of a subgroup of high-risk pPCL.

Publication Title

Transcriptional characterization of a prospective series of primary plasma cell leukemia revealed signatures associated with tumor progression and poorer outcome.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE39383
Genome-wide analysis of primary plasma cell leukemia identifies recurrent imbalances associated with transcriptional Profile alterations
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide analysis of primary plasma cell leukemia identifies recurrent imbalances associated with changes in transcriptional profiles.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE39381
Genome-wide analysis of primary plasma cell leukemia identifies recurrent imbalances associated with transcriptional Profile alterations (Expression)
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Mapping 250K Nsp SNP Array (mapping250knsp)

Description

Primary plasma cell leukaemia (pPCL) is a rare, yet aggressive form of de novo plasma cell tumor, distinguished from secondary PCL (sPCL) which represents a leukemic transformation of pre-existing multiple myeloma (MM). Here, we performed a comprehensive molecular analysis of a prospective series of pPCLs by means of FISH, single nucleotide polymorphism (SNP) array and gene expression profiling (GEP). IGH@ translocations were identified in 87% of pPCL cases, with prevalence of t(11;14) (40%) and t(14;16) (30.5%), whereas the most frequently altered regions were located at 1p (38%), 1q (48%), 6q (29%), 8p (42%), 13q (74%), 14q (71%), 16q (53%) and 17p (35%). A relevant finding of our study was the identification of a minimal biallelical deletion (1.5 Mb) in 8p21.2 encompassing the putative tumor suppressor gene PPP2R2A that was significantly down-regulated in deleted cases. Mutations of TP53 were identified in 4 cases all but one associated with a monoallelic deletion of the gene, whereas activating mutations of BRAF occurred in one case and were absent for N- and K-RAS. To evaluate the influence of allelic imbalances in transcriptional expression we performed an integrated genomic analysis with GEP data, showing a significant dosage effect of genes involved in transcription, translation, methyltransferases activity, apoptosis as well as Wnt and NF-kB signaling pathways. Overall, we provide a compendium of genomic alterations in a prospective series of pPCLs which may contribute to our understanding of this particular form of plasma cell dyscrasia and to better elucidate the mechanisms of tumor progression in MM.

Publication Title

Genome-wide analysis of primary plasma cell leukemia identifies recurrent imbalances associated with changes in transcriptional profiles.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE17044
Expression data from androgen treated LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgens are required for the development of normal prostate, and they are also linked to the development of prostate cancer.

Publication Title

Proteomic interrogation of androgen action in prostate cancer cells reveals roles of aminoacyl tRNA synthetases.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP100708
RNA-seq analysis in MMTV-TGF- a Mice thymus
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

we report the comperative transcriptome analysis of the MMTV-TGF- a female mice thymus tissues Overall design: 3 different fed types

Publication Title

Transcriptome Analysis of the Thymus in Short-Term Calorie-Restricted Mice Using RNA-seq.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE19322
Expression data from C57BL/6J and MRL/MpJ hearts following acute myocardial infarction
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The Murphy Roth Large (MRL) mouse, a strain capable of regenerating right ventricular myocardium, has a high post-myocardial infarction (MI) survival rate compared with C57BL6/J (C57) mice. The biological processes responsible for this survival advantage are unknown.

Publication Title

Early postmyocardial infarction survival in Murphy Roths Large mice is mediated by attenuated apoptosis and inflammation but depends on genetic background.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP036157
Novel Bioinformatics Method for Identification of Genome-Wide Non-Canonical Spliced Regions using RNA-Seq Data
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina Genome Analyzer II

Description

We developed a bioinformatics approach called the Read-Split-Walk (RSW) pipeline, and evaluated it using two Ire1a heterozygous and two Ire1a-null samples. The 26nt non-canonical splice site in Xbp1 was detected as the top hit by our RSW pipeline in heterozygous samples but not in the negative control Ire1a knockout samples. We compared the Xbp1 results from our approach with results using the alignment program BWA, STAR, Exonerate and the Unix “grep” command. We then applied our RSW pipeline to RNA-Seq data from the SKBR3 human breast cancer cell line. RSW reported a large number of non-canonical spliced regions for 108 genes in chromosome 17, which were identified by an independent study. Overall design: Identification of non-canonical spliced regions for mouse MEF samples (two Ire1a heterozygous and two Ire1a-null samples)

Publication Title

Novel bioinformatics method for identification of genome-wide non-canonical spliced regions using RNA-Seq data.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP082406
Efficient derivation of microglia-like cells from human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Microglia-like cells and neural cells were generated from several hES and hIPS lines. As subset was characterized by RNA seq and compared to expression profiles of published primary and induced samples. ABSTRACT: Microglia, the only lifelong resident immune cells of the central nervous system (CNS), are highly specialized macrophages which have been recognized to play a crucial role in neurodegenerative diseases such as Alzheimer's, Parkinson's and Adrenoleukodystrophy (ALD). However, in contrast to other cell types of the human CNS, bona fide microglia have not yet been derived from cultured human pluripotent stem cells. Here we establish a robust and efficient protocol for the rapid production of microglia-like cells from human embryonic stem (ES) and induced pluripotent stem (iPS) cells that uses defined serum-free culture conditions. These in vitro pluripotent stem cell-derived microglia-like cells (termed pMGLs) faithfully recapitulate the expected ontogeny and characteristics of their in vivo counterparts and resemble primary fetal human and mouse microglia. We generated these cells from multiple disease-specific cell lines, and find that pMGLs derived from MeCP2 mutant hES cells are smaller than their isogenic controls. We further describe a culture platform to study integration and live behavior of pMGLs in organotypic 3D-cultures. This modular differentiation system allows the study of microglia in highly defined conditions, as they mature in response to developmentally relevant cues, and provides a framework to study the long-term interaction of microglia residing in a tissue-like environment. Overall design: Individual donors/genetic backgrounds. Dataset inlcudes 4 differentiated neural progenitor biological replicates (NPC1-4), 2 primary fetal microglia samples as reference, 5 induced microglia samples grown in basal medium (pMGL1-5), 3 induced microglia samples grown in neural conditioned medium (pMGL1-3+NCM)

Publication Title

Efficient derivation of microglia-like cells from human pluripotent stem cells.

Sample Metadata Fields

Subject

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accession-icon GSE17708
Time Course of TGF-beta treatment of A549 lung adenocarcinoma cell line
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Time Course of TGF-beta treatment of A549 lung adenocarcinoma cell line on Affymetrix HG_U133_plus_2 arrays; triplicate experiments.

Publication Title

ConceptGen: a gene set enrichment and gene set relation mapping tool.

Sample Metadata Fields

Cell line

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accession-icon GSE15091
PC3 cells transfected with androgen receptor treated with various concentration of androgens
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We compared PC3 cells with or without harboring the wild-AR construct in the growth conditions of 1nM R1881, 10nM R1881 and ethanol (the solvent for R1881). The MOCK control is PC3 cells transfected with the empty vectors.

Publication Title

Integrated expression profiling and ChIP-seq analyses of the growth inhibition response program of the androgen receptor.

Sample Metadata Fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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