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accession-icon GSE12327
Expression profiling reveals distinct clusters of transcriptional regulation during bovine preimplantation in vivo
  • organism-icon Bos taurus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

This study provides the first comprehensive analysis of gene expression and transcriptome dynamics of bovine metaphase II oocytes and in vivo developing bovine embryos.

Publication Title

Genome-wide expression profiling reveals distinct clusters of transcriptional regulation during bovine preimplantation development in vivo.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP168241
Preparing for the first breath at single cell level [single cell Fluidigm C1]
  • organism-icon Mus musculus
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The respiratory system undergoes remarkable structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify dynamic changes in gene expression in the diverse pulmonary cells at birth, we performed Drop-seq based massive parallel single-cell RNA sequencing. An iterative cell type identification strategy was used to unbiasedly identify the heterogeneity of murine pulmonary cell types on postnatal day 1. Distinct populations of epithelial, endothelial, mesenchymal, and immune cells were identified, each containing distinct subpopulations. Cell type predictions and signature genes identified using Drop-seq were cross-validated using an independent single cell isolation platform. Temporal changes in RNA expression patterns were compared before and after birth to identify signaling pathways selectively activated in specific pulmonary cell types, demonstrating activation of UPR signaling during perinatal adaptation of the lung. Present data provide the first single cell view of the adaptation to air breathing after birth. All data from the present study are freely accessed at https://research.cchmc.org/pbge/lunggens/SCLAB.html. Overall design: Left and right lobes of PND1 mouse lungs were rapidly dissected in ice-cold PBS. Cell concentration was examined with a hemocytometer and adjusted to around 300 cells per microliter for Fluidigm C1.

Publication Title

Single cell RNA analysis identifies cellular heterogeneity and adaptive responses of the lung at birth.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP168242
Preparing for the first breath at single cell level [whole lung time course]
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The respiratory system undergoes remarkable structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify dynamic changes in gene expression in the diverse pulmonary cells at birth, we performed Drop-seq based massive parallel single-cell RNA sequencing. An iterative cell type identification strategy was used to unbiasedly identify the heterogeneity of murine pulmonary cell types on postnatal day 1. Distinct populations of epithelial, endothelial, mesenchymal, and immune cells were identified, each containing distinct subpopulations. Cell type predictions and signature genes identified using Drop-seq were cross-validated using an independent single cell isolation platform. Temporal changes in RNA expression patterns were compared before and after birth to identify signaling pathways selectively activated in specific pulmonary cell types, demonstrating activation of UPR signaling during perinatal adaptation of the lung. Present data provide the first single cell view of the adaptation to air breathing after birth. All data from the present study are freely accessed at https://research.cchmc.org/pbge/lunggens/SCLAB.html. Overall design: Embryos and mice for this study were collected from timed pregnant mice. Whole lungs were surgically dissected at embryonic (E) days 16.5, 18.5 and postnatal days (PND) 1, 3, 7, 14, and 28

Publication Title

Single cell RNA analysis identifies cellular heterogeneity and adaptive responses of the lung at birth.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE65067
Expression data from WT and TREM2 deficient microglia in a mouse model of Alzheimer's disease
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We examined the role of TREM2 on microglia responses to amyloid-beta deposition in a mouse model of Alzheimer's disease

Publication Title

TREM2 lipid sensing sustains the microglial response in an Alzheimer's disease model.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE13250
Splenic CD8+ and CD8- DCs
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of gene expressions in mouse splenic dendritic cells (DCs). DCs were purified into two subsets, CD8-positive and -negative ones. DCs were expanded in vivo by injecting Flt3L-producing tumors into the backs of C57BL/6 mice.

Publication Title

A new triggering receptor expressed on myeloid cells (Trem) family member, Trem-like 4, binds to dead cells and is a DNAX activation protein 12-linked marker for subsets of mouse macrophages and dendritic cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP039001
Gene expression profiling in allele replacement panel strains containing all combinations of four sporulation QTN in S. cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 145 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We study the effect of four QTN in RME1, IME1 & RSF1 that are causative for variation in sporulation efficiency. We investigate the relationship between genotype, gene expression and phenotype and whether the amount of gene expression variation explained by the sporulation QTN is predictive of the amount of phenotypic variation explained by them. Overall design: RNA-Seq analysis of 4 replicates each of 16 allele replacement panel strains containing all combinations of the four sporulation QTN after 2 hours in sporulation medium.

Publication Title

Single nucleotide variants in transcription factors associate more tightly with phenotype than with gene expression.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE47873
Gene expression profiles MCF-10A cells overexpressing MBD2
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Methylated DNA binding protein 2 (MBD2) has been shown to bind specific methylated promoters and suppress transcription. Here we systematically investigate MBD2 suppression by overexpressing MBD2 in MCF-10A cells and generating gene expression profiles of overexpressing cells and normal MCF-10A cells.

Publication Title

Methylated DNA binding domain protein 2 (MBD2) coordinately silences gene expression through activation of the microRNA hsa-mir-496 promoter in breast cancer cell line.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE36165
Drug efficacy reprogramming against aggressive human prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We enriched for prostate cancer cells by the selection system used in human iPS purification. Gene expression signature-based chemical prediction enabled us to identify candidate drugs for reverting the EOS (early transposon promoter, OCT4 and SOX2 enhancer) signature with chemoresistance into a chemosensitive phenotype.

Publication Title

Identification of drug candidate against prostate cancer from the aspect of somatic cell reprogramming.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE12955
Gene expression profile of zebrafish kidney side population (SP) cells
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Side population (SP) cells are identified based on their capacity to efflux of the fluorescent dye Hoechst 33342, and are enriched for hematopoietic stem cells (HSCs) in mammalian bone marrow. We recently demonstrated that SP cells were present in the teleost kidney, the main hematopoietic organ in teleosts, and were enriched for HSCs. In this analysis, to identify the regulated genes in teleost HSCs, gene expression analysis of zebrafish kidney SP cells were performed using the GeneChip Zebrafish Genome Array.

Publication Title

Comparative gene expression analysis of zebrafish and mammals identifies common regulators in hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29722
The landscape of promoter DNA hypomethylation in liver cancer
  • organism-icon Homo sapiens
  • sample-icon 20 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

Definition of the landscape of promoter DNA hypomethylation in liver cancer.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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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