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accession-icon GSE24936
Transcriptomic profiling of bovine IVF embryos revealed candidate genes and pathways involved in early embryonic development
  • organism-icon Bos taurus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Using microarrays, genome-wide RNA expression was profiled and compared for in vitro fertilization (IVF) - derived blastocysts and embryos undergoing degenerative development up to the same time point. Surprisingly similar transcriptomic profiles were found in degenerative embryos and blastocysts. Nonetheless, we identified 67 transcripts that significantly differed between these two groups of embryos at a 15% false discovery rate, including 33 transcripts showing at least a two-fold difference. Several signaling and metabolic pathways were found to be associated with the developmental status of embryos, among which were previously known important steroid biosynthesis and cell communication pathways in early embryonic development.

Publication Title

Transcriptomic profiling of bovine IVF embryos revealed candidate genes and pathways involved in early embryonic development.

Sample Metadata Fields

Specimen part

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accession-icon GSE2952
Adipose tissue gene expression profiles of lean, insulin resistant, obese, and diabetic mice.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

The expression of adipogenic genes is decreased in obesity and diabetes mellitus

Publication Title

The expression of adipogenic genes is decreased in obesity and diabetes mellitus.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3076
Impact of Nonsense-mediated mRNA Decay on the Global Expression Profile of Budding Yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Isogenic UPF1+ or upf1- yeast strains were treated with 10 ug/ml thiolutin to inhibit global transcription. Targets were obtained from 16 time points: 0, 2, 4, 6, 8, 10, 12, 15, 20, 25, 30, 35, 40, 45, 50, 60 minutes after transcription inhibition. Three biological replicates of each were generated and the expression profiles were determined using Affymetrix YG-S98 arrays. Comparisons between the sample groups allow the identification of genes with differential expression over time between UPF1+ and upf1-.

Publication Title

Impact of nonsense-mediated mRNA decay on the global expression profile of budding yeast.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2899
Gene Expression Profiles of Nondiabetic and Diabetic Obese Mice--Adipose tissue, Liver, Muscle and Islets
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Obesity is a strong risk factor for the development of type 2 diabetes. We have previously reported that in adipose tissue of obese (ob/ob) mice, the expression of adipogenic genes is decreased. When made genetically obese, the BTBR mouse strain is diabetes susceptible and the C57BL/6J (B6) strain is diabetes resistant. We used DNA microarrays and RT-PCR to compare the gene expression in BTBR-ob/ob versus B6-ob/ob mice in adipose tissue, liver, skeletal muscle, and pancreatic islets. Our results show: 1) there is an increased expression of genes involved in inflammation in adipose tissue of diabetic mice; 2) lipogenic gene expression was lower in adipose tissue of diabetes-susceptible mice, and it continued to decrease with the development of diabetes, compared with diabetes-resistant obese mice; 3) hepatic expression of lipogenic enzymes was increased and the hepatic triglyceride content was greatly elevated in diabetes-resistant obese mice; 4) hepatic expression of gluconeogenic genes was suppressed at the prediabetic stage but not at the onset of diabetes; and 5) genes normally not expressed in skeletal muscle and pancreatic islets were expressed in these tissues in the diabetic mice. We propose that increased hepatic lipogenic capacity protects the B6-ob/ob mice from the development of type 2 diabetes. Diabetes 52:688700, 2003

Publication Title

Gene expression profiles of nondiabetic and diabetic obese mice suggest a role of hepatic lipogenic capacity in diabetes susceptibility.

Sample Metadata Fields

Sex, Age

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accession-icon GSE2926
Gene Expression Profiles of Scd1 knockout mice vs wild type mice on chow diet: Liver.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a)

Description

Loss of stearoyl-CoA desaturase-1 function protects mice against adiposity.

Publication Title

Loss of stearoyl-CoA desaturase-1 function protects mice against adiposity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3330
Combined Expression Trait Correlations and Expression Quantitative Trait Locus Mapping
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Coordinated regulation of gene expression levels across a series of experimental conditions provides valuable information about the functions of correlated transcripts. To map gene regulatory pathways, we used microarray-derived gene expression measurements in 60 individuals of an F2 sample segregating for diabetes. We performed correlation analysis among ~40,000 expression traits. By combining correlation among expression traits and linkage mapping information, we were able to identify regulatory networks, make functional predictions to uncharacterized genes, and characterize novel members of known pathways. Using 36 seed traits, we found evidence of coordinate regulation of 160 G-protein coupled receptor (GPCR) pathway expression traits. Of the 160 traits, 50 had their major LOD peak within 8 cM of a locus on chromosome 2, and 81 others had a secondary peak in this region. A previously uncharacterized Riken cDNA clone, which showed strong correlation with stearoyl CoA desaturase 1 expression, was experimentally validated to be responsive to conditions that regulate lipid metabolism. Using linkage mapping, we identified multiple genes whose expression is under the control of transcription regulatory loci. Trait-correlation combined with linkage mapping can reveal regulatory networks that would otherwise be missed if we only studied mRNA traits with statistically significant linkages in this small cross. The combined analysis is more sensitive compared with linkage mapping only.

Publication Title

Combined expression trait correlations and expression quantitative trait locus mapping.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP068027
Genome-wide RNA sequencing of B6 mouse islets
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Isoform quantification results for B6 mouse using Bowtie and RSEM. Overall design: ~400 islets were isolated and pooled from two B6 mice. Whole islet RNA was isolated using Rneasy purification columns (Qiagen), quantified (Nanodrop) and integrity verified (Agilent) prior to sequencing. ~94M total paired-end RNA-Seq reads were sequenced.

Publication Title

The Transcription Factor Nfatc2 Regulates β-Cell Proliferation and Genes Associated with Type 2 Diabetes in Mouse and Human Islets.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP011546
Tracing pluripotency of human early embryos and embryonic stem cells by single cell RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Find the casual relationship between gene expression network and cellular phenotype at single cell resolution. We collected donated human pre-implatation embryos, and the embryonic stem cells derived from them, isolate individual cells, prepared single cell cDNAs, and sequenced them by HiSeq2000. Then we analyzed the expression of known RefSeq genes. Overall design: We get transcriptome of 124 individual cells from human pre-implantation embryos and human embryonic stem cells by applying single cell RNA-seq technique we recently developed[1][2][3][4]. We did in-depth bioinformatic analysis to these data and found very dynamic expression of protein-coding genes. [1] Tang, F. et al. (2010a) Tracing the Derivation of Embryonic Stem Cells from the Inner Cell Mass by Single-Cell RNA-Seq Analysis. Cell Stem Cell 6, 468-478. [2] Tang, F. et al. (2010b) RNA-Seq analysis to capture the transcriptome landscape of a single cell. Nat Protocols 5, 516-535. [3] Tang, F. et al. (2009) mRNA-Seq whole-transcriptome analysis of a single cell. Nat Meth 6, 377-382. [4] Tang, F. et al. (2011) Development and applications of single-cell transcriptome analysis. Nat Meth 8, S6-S11.

Publication Title

Single-cell RNA-Seq profiling of human preimplantation embryos and embryonic stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP026144
Characterization of miRNomes in acute and chronic myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

An in-depth analysis of miRNomes in 3 human myeloid leukemia cell lines was carried out to comprehensively identify miRNAs that distinguish acute and chronic myeloid leukemias and relate to myeloid cell differentiation. Overall design: Characterization the miRNomes in 3 myeloid leukemia cell lines.

Publication Title

Characterization of miRNomes in acute and chronic myeloid leukemia cell lines.

Sample Metadata Fields

Specimen part, Disease, Cell line, Subject

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accession-icon GSE22242
Identification of an intermediate signature that marks the initial phases of colorectal adenoma-carcinoma transition
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The colorectal adenoma-carcinoma sequence describes the stepwise progression from normal to dysplastic epithelium and then to carcinoma; only a small proportion of colorectal adenoma (CRA) progresses to colorectal carcinoma (CRC). Presently, endoscopic intervention is used on patients with CRAs of high grade dysplasia, diameters > 1 cm, or villous components > 25% who are at higher risk than other CRA sufferers. During the process, biopsy samples were taken for conventional histological diagnosis, but poor pathomorphological sensitivity and specificity greatly limit the diagnostic accuracy. Unfortunately, there are no reliable molecular criteria available that can predict the potential development of CRA to CRC. In present study, we use microarrays to detail the global programme of gene expression underlying the gradual progress of colorectal adenoma-carcinoma sequence.

Publication Title

Identification of an intermediate signature that marks the initial phases of the colorectal adenoma-carcinoma transition.

Sample Metadata Fields

Specimen part

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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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