refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 60 results
Sort by

Filters

Technology

Platform

accession-icon SRP052914
Ion Transporter NKCC1 - Modulator of Neurogenesis in Murine Olfactory Neurons
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Olfaction is one of the most crucial senses for vertebrates regarding foraging and social behavior. Therefore, it is of particular interest to investigate the sense of smell, its function on a molecular level, the signaling proteins involved in the process and the mechanism of required ion transport. In recent years, the precise role of the ion transporter NKCC1 in olfactory sensory neuron (OSN) chloride accumulation has been a controversial subject. NKCC1 is expressed in OSNs and is involved in chloride accumulation of dissociated neurons, but it had not been shown to play a role in mouse odorant sensation. To characterize transporter gene expression in NKCC1-/- mice, we examined the OE gene profile (Supplementary Table 1) using Illumina RNA-Seq to generate OE transcriptomes from NKCC1-/- and wild type mice. We analyzed RNA from OEs of male and female NKCC1+/+ (12 ± 1 weeks) and NKCC1-/- mice (16.5 ± 3.5 weeks, NMRI background); each RNA sample was prepared from an OE pool of 4 (mixed-gender pool RNA isolation) or 2 (gender RNA pool) different mice for each condition. Our data demonstrated the absence of a highly expressed ion transporter that could compensate for NKCC1. Overall design: The Illumina RNA-Seq protocol was utilized. In total, we amplified and sequenced up to 38 million 101 nt-long fragments from murine NKCC1+/+ and NKCC1-/- adult OEs.

Publication Title

Ion transporter NKCC1, modulator of neurogenesis in murine olfactory neurons.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10607
Genome-wide analysis of gene expression in the soybean shoot apical meristem
  • organism-icon Glycine max
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

The shoot apical meristem (SAM) contains undifferentiated stem cells that are responsible for the initiation of above-ground organs, and eventually the general architecture of the plant. To gain insight into the nature of genetic programs and the regulatory networks underlying SAM function in soybean, we have used Affymetrix soybean GeneChip to investigate the transcript profiles associated with micro-dissected SAMs or axillary meristems (AMs). While the microarray data disclosed the conservation of transcriptional signature between the two types of meristems, subsequent comparison of SAM transcript profile with that of non-meristem (NM) tissue revealed a total of 1090 and 1523 transcripts that are significantly up- or down-regulated in the SAM. Further in situ hybridization analysis on selected transcripts has implicated their roles in SAM maintenance and the establishment of organ polarity. We also identified a gene that could potentially serve as a novel marker that distinguishes the differentiating cells in the meristem from the pluripotent stem cells. Along with many unknowns, transcripts with putative annotation have also been identified that has allowed us to infer SAM regulatory roles for various families of transcription factors as well as products associated with auxin-mediated responses, cell division and proliferation, epigenetic regulation, miRNA regulation and protein turnover. Computational analysis on the promoter regions of Arabidopsis orthologs of genes with high expression in the soybean SAM revealed a conserved over-representation of three cis-acting regulatory motifs. Our microarray data thus represents a rich source of target genes for further study into the meristem function and maintenance.

Publication Title

Genome-wide analysis of gene expression in soybean shoot apical meristem.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12286
Genomic Expression Profiling of Mature Soybean (Glycine max) Pollen
  • organism-icon Glycine max
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

Background: Pollen, the male partner in the reproduction of flowering plants, comprises either two or three cells at maturity. The current knowledge of the pollen transcriptome is limited to the model plant Arabidopsis thaliana, which has tri-cellular pollen grains at maturity.

Publication Title

Genomic expression profiling of mature soybean (Glycine max) pollen.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE47394
Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome
  • organism-icon Homo sapiens
  • sample-icon 24 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

Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE47392
Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome [Set 1]
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the biological pathways involved in twin-twin transfusion syndrome (TTTS) by performing global gene expression analysis of amniotic fluid (AF) cell-free RNA

Publication Title

Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE47393
Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome [Set 2]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the biological pathways involved in twin-twin transfusion syndrome (TTTS) by performing global gene expression analysis of amniotic fluid (AF) cell-free RNA

Publication Title

Global gene expression analysis of amniotic fluid cell-free RNA from recipient twins with twin-twin transfusion syndrome.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE28662
Expression data from treatment of actinomycin D and triptolide on MCF7 cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Expression data from treatment of actinomycin D (2.5uM) and triptolide (500 nM) on MCF7 cells for 2, 4 and 6 hours.

Publication Title

Chemical genomics identifies small-molecule MCL1 repressors and BCL-xL as a predictor of MCL1 dependency.

Sample Metadata Fields

Cell line, Compound, Time

View Samples
accession-icon SRP089712
RNA Sequencing of mouse Purkinje cells across postnatal development
  • organism-icon Mus musculus
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We analyzed Purkinje cell transcriptome dynamics in the developing mouse cerebellum during the first three postnatal weeks, a key developmental period equivalent to the third trimester in human cerebellar development. Our study represents the first detailed analysis of developmental Purkinje cell transcriptomes and provides a valuable dataset for gene network analyses and biological questions on genes implicated in cerebellar and Purkinje cell development. Overall design: Laser capture microdissection was employed to obtain a highly enriched population of cerebellar Purkinje cells. Deep sequencing was performed on RNA isolated from 1000 Purkinje cells at five developmental timepoints (postnatal days P0, P4, P8, P14 and P21) in triplicate.

Publication Title

A gene expression signature in developing Purkinje cells predicts autism and intellectual disability co-morbidity status.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP034158
Genome-wide discovery of human splicing branchpoints [RNAse]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Gene splicing requires three basal genetic elements; the 3’ and 5’ splice sites and the branchpoint to which the 5’ intron termini is ligated to form a closed lariat during the splicing reaction. The 5’ and 3’ splice sites that define exon boundaries have been widely identified, revealing pervasive transcription and splicing of human genes. However, the locations of the third requisite element, the branchpoint, are still largely unknown. Here we employ two complementary approaches, targeted RNA sequencing and exoribonuclease digestion, to distil sequenced reads that traverse the lariat junction and, via non-conventional alignment, locate human branchpoint nucleotides. Alignments identify 88,748 branchpoints that correspond to 20% of known introns, with 76% supported by diagnostic sequence mismatch errors. This affords a first genome-wide analysis of branchpoints, describing their distribution, selection, and the existence of a diverse array of overlapping sequence motifs with distinct usage, evolutionary histories, and co-variation with distal splicing elements. The overlap of branchpoints with noncoding human genetic variation also indicates a notable contribution to disease. This annotation and analysis incorporates branchpoints into transcriptomic research and reflects a core role for this element in the regulatory code that governs gene splicing and expression. Overall design: RNaseR validation of branchpoint nucleotides

Publication Title

Genome-wide discovery of human splicing branchpoints.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP034157
Genome-wide discovery of human splicing branchpoints [BPCapture]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene splicing requires three basal genetic elements; the 3’ and 5’ splice sites and the branchpoint to which the 5’ intron termini is ligated to form a closed lariat during the splicing reaction. The 5’ and 3’ splice sites that define exon boundaries have been widely identified, revealing pervasive transcription and splicing of human genes. However, the locations of the third requisite element, the branchpoint, are still largely unknown. Here we employ two complementary approaches, targeted RNA sequencing and exoribonuclease digestion, to distil sequenced reads that traverse the lariat junction and, via non-conventional alignment, locate human branchpoint nucleotides. Alignments identify 88,748 branchpoints that correspond to 20% of known introns, with 76% supported by diagnostic sequence mismatch errors. This affords a first genome-wide analysis of branchpoints, describing their distribution, selection, and the existence of a diverse array of overlapping sequence motifs with distinct usage, evolutionary histories, and co-variation with distal splicing elements. The overlap of branchpoints with noncoding human genetic variation also indicates a notable contribution to disease. This annotation and analysis incorporates branchpoints into transcriptomic research and reflects a core role for this element in the regulatory code that governs gene splicing and expression. Overall design: CaptureSeq identification of branchpoint nucleotides

Publication Title

Genome-wide discovery of human splicing branchpoints.

Sample Metadata Fields

Cell line, Subject

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