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accession-icon GSE26947
Chromosome wide analysis of parental allele specific chromatin and DNA methylation in mouse
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Chromosome-wide analysis of parental allele-specific chromatin and DNA methylation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE26720
Chromosome wide analysis of parental allele specific chromatin and DNA methylation
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Imprinted genes are monoallelically expressed according to parental inheritance. The maternally and paternally expressed alleles are distinguished epigenetically by DNA methylation and histone modifications.

Publication Title

Chromosome-wide analysis of parental allele-specific chromatin and DNA methylation.

Sample Metadata Fields

Specimen part

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accession-icon SRP060744
Single-cell RNA sequencing of aspirates from cortical neurons after patch clamp recording
  • organism-icon Mus musculus
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We obtained full transcriptome data from single cortical neurons after whole-cell patch-clamp recording (termed “Patch-seq”). By applying “Patch-seq” to cortical neurons, we reveal a close link between biophysical membrane properties and genes coding for neurotransmitter receptors and channels, including well-established and hitherto undescribed subtypes. Overall design: RNA sequencing was performed on a total of 83 individual cells

Publication Title

Integration of electrophysiological recordings with single-cell RNA-seq data identifies neuronal subtypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP136794
DNA methylation in neurons from post-mortem brains in schizophrenia and bipolar disorder (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We fine-mapped DNA methylation in neuronal nuclei (NeuN+) isolated by flow cytometry from post-mortem frontal cortex of the brain of individuals diagnosed with schizophrenia, bipolar disorder, and controls (n=29, 26, and 28 individuals). Overall design: Brain tissue samples (n=34 human samples, 17 case and 17 control) were lysed using QIAzol Lysis Reagent (Qiagen) and homogenized with a TissueLyser (Qiagen). Total RNA from each sample was isolated using the RNeasy Plus Universal Mini kit (Qiagen) according to manufacturer's instructions and included an enzymatic DNase (Qiagen) digestion step. RNA quality was measured on a 2100 Bioanalyzer (Agilent) and quantity was determined with a Nanodrop 2000 spectrophotometer (Thermo Fisher Scientific). Only RNA samples with a RIN quality score >7 proceeded to RNA-seq library preparation (RIN between 7.1 to 9.4 for all samples). Libraries were prepared by the Van Andel Genomics Core from 300 ng of total RNA using the KAPA RNA HyperPrep Kit with RiboseErase (v1.16) (Kapa Biosystems). RNA was sheared to 300-400 bp. Prior to PCR amplification, cDNA fragments were ligated to Bio Scientific NEXTflex Adapters (Bioo Scientific). Quality and quantity of the finished libraries were assessed using a combination of Agilent DNA High Sensitivity chip (Agilent Technologies, Inc.), QuantiFluor® dsDNA System (Promega Corp.), and Kapa Illumina Library Quantification qPCR assays (Kapa Biosystems). Individually indexed libraries were pooled, and 75 bp paired-end sequencing was performed on an Illumina NextSeq 500 sequencer, with all libraries run across 3 flowcells. Base calling was done by Illumina NextSeq Control Software (NCS) v2.0 and output of NCS was demultiplexed and converted to FastQ format with Illumina Bcl2fastq v1.9.0. Trimgalore (v0.11.5) was used for adapter removal prior to genome alignment. STAR33 (v2.3.5a) index was generated using Ensemble GRCh38 p10 primary assembly genome and the Gencode v26 primary assembly annotation. Read alignment was performed using a STAR two-pass mode. Gene counts matrix was imported into R (3.4.1) and low expressed genes (counts per million (CPM) < 1 in all samples) were removed prior to differential expression in EdgeR. Gene counts were normalized using the trimmed mean of M-values, fitted in a generalized linear model and differentially tested using a likelihood ratio test. The generalized linear model contained covariates age, sex, post mortem interval and neuronal cell composition. Cell-type compositions for each sample was accessed using CIBERSORT34 on normalized sample counts against cell-type specific markers, identifying the proportion of neurons in each samples. Benjamini Hochberg correction was used to adjust for multiple testing.

Publication Title

Differential methylation of enhancer at IGF2 is associated with abnormal dopamine synthesis in major psychosis.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon GSE92955
Whole transcriptome analysis of the ventrolateral hypothalamic parvafox nucleus in mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The ventrolateral hypothalamic parvafox (formerly called PV1-Foxb1) nucleus is an anatomical entity of recent discovery and unknown function. With a view to gaining an insight into its putative functional role(s), we conducted a gene-microarray analysis.

Publication Title

Parvalbumin-Neurons of the Ventrolateral Hypothalamic Parvafox Nucleus Receive a Glycinergic Input: A Gene-Microarray Study.

Sample Metadata Fields

Specimen part

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accession-icon SRP067490
RNAseq analysis of two independent stains of C57BL/6J-Plat-/- mice and wild-type C57BL/6J.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The ability to generate defined null mutations in mice revolutionized the analysis of gene function in mammals. However, gene-deficient mice generated by using 129-derived embryonic stem (ES) cells may carry large segments of 129 DNA, even when extensively backcrossed to reference strains, such as C57BL/6J, and this may confound interpretation of experiments performed in these mice. Tissue plasminogen activator (tPA), encoded by the PLAT gene, is a fibrinolytic serine protease that is widely expressed in the brain. A large number of neurological abnormalities have been reported in tPA-deficient mice. The studies here compare genes differentially expressed in the brains of Plat-/- mice from two independent Plat-/- mouse derivations to wild-type C57BL/6J mice. One strain denoted “Old” was constructed in ES cells from a 129 mouse and backcrossed extensively to C57BL/6J, and one denoted “New” Plat-/- mouse was constructed using zinc finger nucleases directly in the C57BL/6J-Plat-/- mouse strain. We identify a significant set of genes that are differentially expressed in the brains of Old Plat-/- mice that preferentially cluster in the vicinity of Plat on chromosome 8, apparently linked to more than 20 Mbp of DNA flanking Plat being of 129 origin. No such clustering is seen in the New Plat-/- mice. Overall design: Whole-transcriptome profiling of the cerebral cortex of wild-type control C57BL/6J mice and two independent Plat-/- mice strains on the C57BL/6J background.

Publication Title

Passenger mutations and aberrant gene expression in congenic tissue plasminogen activator-deficient mouse strains.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE152870
SAM treatment of CRC cell lines
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

whole-transcriptom analysis of HT-29 and SW480 cells by HTA 2.0 microarray

Publication Title

S-Adenosylmethionine Treatment of Colorectal Cancer Cell Lines Alters DNA Methylation, DNA Repair and Tumor Progression-Related Gene Expression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE24621
Direct conversion of human fibroblasts to multilineage blood progenitors
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Similar to embryo-derived stem cells, application of human induced pluripotent stem cells (iPSCs) is limited by our understanding of lineage specification. Here, we demonstrate the ability to generate progenitors and mature cells of the hematopoietic fate directly from human dermal fibroblasts without establishing pluripotency. POU domain activation of hematopoietic transcription factors by ectopic expression of Oct-4, together with specific cytokine treatment, allowed generation of cells expressing the pan-leukocyte marker CD45. These unique fibroblast-derived cells gave rise to granulocytic, monocytic, megakaryocytic, and

Publication Title

Direct conversion of human fibroblasts to multilineage blood progenitors.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon SRP108941
Construction of a synthetic RNA-seq data set for testing of fusion detection algorithms
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina Genome Analyzer II

Description

Gene fusions are known to play critical roles in tumor pathogenesis. However, sensitive and specific algorithms to detect gene fusions in cancer do not currently exist. Although real RNA-seq data from cell lines or tumors can be used in testing new fusion detection algorithms, it is impossible to know the true sensitivity or specificity of an algorithm without knowing the "ground truth". For this reason we designed a synthetic control data set to assess the true and false positive and negative fusions of a a new fusion detection algorithm.

Publication Title

Statistical algorithms improve accuracy of gene fusion detection.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE37060
Expression data from siSCR and siPRMT1 ES cells
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The major type of protein arginine methyltransferase is PRMT1. Since the growth of embryos from Prmt1/ mice was arrested shortly after implantation, PRMT1 must play a critical role in early mouse development.

Publication Title

PRMT1 and PRMT8 regulate retinoic acid-dependent neuronal differentiation with implications to neuropathology.

Sample Metadata Fields

Specimen part, Cell line

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)

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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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