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accession-icon SRP022904
Somatic piRNAs in the adult mouse
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Small RNAs were deep sequenced from the liver and spleen of adult mice in an effort to identify somatic piRNAs. Following sequencing of all small RNAs, known non-coding RNAs were computationally removed from the dataset. The remaining RNAs were then mapped to the genome and analyzed for sequence characteristics (5'' base, length) typical of known piRNAs. To determine if any of the identified small RNAs were MIWI2 dependent, we deep sequenced small RNAs from liver and spleen of MIWI2 KO mice and analyzed them as above. Overall design: We deep sequenced small RNAs from the liver and spleen of one WT mouse and one MIWI2 knock-out mouse. We then trimmed sequencing adapters and removed known ncRNAs (rRNA, tRNA, snoRNA, snRNA, miRNA) from the dataset before aligning reads to the mm9 assembly of the mouse genome.

Publication Title

piRNA-like small RNAs mark extended 3'UTRs present in germ and somatic cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP010943
Small RNA profiles following TUT knock-down in HeLa
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina Genome Analyzer II

Description

The precise control of microRNA (miRNA) biogenesis is important for various cellular functions, and its dysregulation is often associated with human diseases. We previously reported that Terminal uridylyl transferase 4 (TUT4) down-regulates let-7 miRNA biogenesis by oligo-uridylating let-7 precursor (pre-let-7) in mouse embryonic stem cells and that a pluripotency marker Lin28 promotes a processivity of TUT4. Here we find that TUT4 positively controls let-7 biogenesis by adding a uridine residue to the 3' end of pre-let-7 in the absence of Lin28. Such mono-uridylation enhances Dicer processing by generating an optimal end structure of pre-let-7 for Dicer recognition and may protect pre-miRNA from trimming. Moreover, TUT7, TUT4 and TUT2 redundantly regulate pre-let-7 processing and simultaneous knock down of these TUTs leads to the decrease of mature let-7 and the accumulation of pre-let-7 in cells. This study provides a novel regulation mechanism of miRNA biogenesis, which may function in development and tumorigenesis. Overall design: HeLa cells were transfected with siRNA two times over a 4~5 day period.

Publication Title

Mono-uridylation of pre-microRNA as a key step in the biogenesis of group II let-7 microRNAs.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP014925
mRNA profiles following TUT knock-down in HeLa
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The precise control of microRNA (miRNA) biogenesis is important for various cellular functions, and its dysregulation is often associated with human diseases. We previously reported that Terminal uridylyl transferase 4 (TUT4) down-regulates let-7 miRNA biogenesis by oligo-uridylating let-7 precursor (pre-let-7) in mouse embryonic stem cells and that a pluripotency marker Lin28 promotes a processivity of TUT4. Here we find that TUT4 positively controls let-7 biogenesis by adding a uridine residue to the 3' end of pre-let-7 in the absence of Lin28. Such mono-uridylation enhances Dicer processing by generating an optimal end structure of pre-let-7 for Dicer recognition and may protect pre-miRNA from trimming. Moreover, TUT7, TUT4 and TUT2 redundantly regulate pre-let-7 processing and simultaneous knock down of these TUTs leads to the decrease of mature let-7 and the accumulation of pre-let-7 in cells. This study provides a novel regulation mechanism of miRNA biogenesis, which may function in development and tumorigenesis. Overall design: HeLa cells were transfected with siRNA two times over a 4~5 day period.

Publication Title

Mono-uridylation of pre-microRNA as a key step in the biogenesis of group II let-7 microRNAs.

Sample Metadata Fields

Cell line, Treatment, Subject

View Samples
accession-icon SRP072693
Amnion as a surrogate tissue reporter of the effects of maternal preeclampsia on the fetus [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: Preeclampsia, traditionally characterized by high blood pressure and proteinuria, is a common pregnancy complication, which affects 2-8% of all pregnancies. Although children born to women with preeclampsia have a higher risk of hypertension in later life, the mechanism of this increased risk is unknown. DNA methylation is an epigenetic modification that has been studied as a mediator of cellular memory of adverse exposures in utero. Since each cell type in the body has a unique DNA profile, cell subtype composition is a major confounding factor in studies of tissues with heterogeneous cell types. The best way to avoid this confounding effect is by using purified cell types. However, the use purified cell types in large cohort translational studies is difficult. The amnion, the inner layer of the fetal membranes of placenta, is derived from the epiblast and consists of two cell types, which are easy to isolate from the delivered placenta. In this study, we demonstrate the value of using amnion samples for DNA methylation studies, revealing distinctive patterns between fetuses exposed to preeclampsia or hypertension and fetuses from normal pregnancies. Results: We performed a genome-wide DNA methylation analysis, HELP-tagging, on 62 amnion samples from placentas of uncomplicated, normal pregnancies, and those with complications of preeclampsia or hypertension. Using a regression model approach, we found 123, 85 and 99 loci with high confidence hypertension-associated, proteinuria-associated and hypertension and proteinuria-associated DNA methylation changes, respectively. We also found that these differentially methylated regions overlap loci previously reported as differentially methylated regions in preeclampsia. Conclusions: Our findings support prior observations that preeclampsia is associated with changes of DNA methylation near genes that have previously been found to be dysregulated in preeclampsia. We propose that amnionic membranes represent a valuable surrogate fetal tissue on which to perform epigenome-wide association studies of adverse intrauterine conditions. Overall design: Directional RNA profiles of amnion membranes were generated by deep sequencing using Illumina HiSeq2500. Twenty-nine human amnion specimens were used: 12 control and 17 preeclampsia exposed.

Publication Title

Amnion as a surrogate tissue reporter of the effects of maternal preeclampsia on the fetus.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP122939
Gene expression profiling study by RNA-seq in PDX model based diffuse type gastric cancers.
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We established PDX lines from diffuse type gastric cancers (DGCs). Using these cells, we carried out RNA-seq based transcriptome profiling using 15 stomach samples including three PDX lines (HGC-3, HGC-8, and HGC-20) and normal-looking surrounding tissues. Via comparative analysis between cells and tissues, we identified significant gene set associated with each cell and observed that genes involved in AKT signalling pathway were commonly associated with all PDX lines. Overall design: RNA-seq data of 15 gastric samples were generated. Total RNA was isolated by RNeasy Mini Kit (Qiagen, CA, USA), according to the manufacturer's protocol. The quality and integrity of the RNA were confirmed by agarose gel electrophoresis and ethidium bromide staining, followed by visual examination under ultraviolet light. Sequencing library was prepared using TruSeq RNA Sample Preparation kit v2 (Illumina, CA, USA) according to the manufacturer's protocols. Briefly, mRNA was purified from total RNA using poly-T oligo-attached magnetic beads, fragmented, and converted into cDNAs. Then, adapters were ligated and the fragments were amplified on a PCR. Sequencing was performed in paired end reads (2x75 bp) using Hiseq-2500 (Illumina).

Publication Title

Identification of a molecular signature of prognostic subtypes in diffuse-type gastric cancer.

Sample Metadata Fields

Subject

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accession-icon SRP029880
Gene expression profiling study by RNA-seq in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The objective of this study is to identify a prognostic signature in colorectal cancer (CRC) patients with diverse progression and heterogeneity of CRCs. We generated RNA-seq data of 54 samples (normal colon, primary CRC, and liver metastasis) from 18 CRC patients and, from the RNA-seq data, identified significant genes associated with aggressiveness of CRC. Through diverse statistical methods including generalized linear model likelihood ratio test, two significantly activated regulators were identified. In the validation cohorts, two activated regulators were independent risk factors and potential chemotherapy-sensitive agenets in colorectal cancers. Overall design: RNA-seq data of 54 samples (normal colon, primary CRC, and liver metastasis) were generated from 18 CRC patients. Total RNA was isolated by RNeasy Mini Kit (Qiagen, CA, USA), according to the manufacturer's protocol. The quality and integrity of the RNA were confirmed by agarose gel electrophoresis and ethidium bromide staining, followed by visual examination under ultraviolet light. Sequencing library was prepared using TruSeq RNA Sample Preparation kit v2 (Illumina, CA, USA) according to the manufacturer's protocols. Briefly, mRNA was purified from total RNA using poly-T oligo-attached magnetic beads, fragmented, and converted into cDNAs. Then, adapters were ligated and the fragments were amplified on a PCR. Sequencing was performed in paired end reads (2x100 bp) using Hiseq-2000 (Illumina).

Publication Title

A prognostic index based on an eleven gene signature to predict systemic recurrences in colorectal cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE40481
Time-dependent network analysis reveals molecular targets underying the development of diet-induced obesity and non-alcoholic steatohepatitis.
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Core diet-induced obesity networks were constructed using Ingenuity pathway analysis (IPA) based on 332 high-fat diet responsive genes identified in liver by time-course microarray analysis (8 time-points over 24 weeks) of high-fat diet fed mice compared to normal diet fed mice. IPA identified five core diet-induced obesity networks with time-dependent gene expression changes in liver. When we merged core diet-induced obesity networks, Tlr2, Cd14 and Ccnd1 emerged as hub genes associated with both liver steatosis and inflammation and were altered in a time-dependent manner. Further protein-protein interaction network analysis revealed Tlr2, Cd14 and Ccnd1 were inter-related through the ErbB/insulin signaling pathway. Dynamic changes occur in molecular networks underlying diet-induced obesity. Tlr2, Cd14 and Ccnd1 appear to be hub genes integrating molecular interactions associated with the development of NASH. Therapeutics targeting hub genes and core diet-induced obesity networks may help ameliorate diet-induced obesity and NASH.

Publication Title

Time-dependent network analysis reveals molecular targets underlying the development of diet-induced obesity and non-alcoholic steatohepatitis.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE16757
Gene expression study in hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Gene expression data from 100 human hepatocellular carcinomas (HCC) were generated and analyzed as part of effort for validating prognostic gene expression signatures from previous studies. Using four different classification algorithms and leave-one-out cross-validation approaches, four different prognostic signatures were applied to test the robustness and concordance of predicted outcome in individual patients. All four tumor-derived signatures were significantly associated with prognosis and had a high rate of concordance with predicted outcomes for individual patients.

Publication Title

Sixty-five gene-based risk score classifier predicts overall survival in hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP139587
Transcriptome profiling of Cryptosporidium parvum infected lung and intestinal organoids
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose: Transcriptome profiling of Crytosporidium parvum infected lung and small intestinal organoids was performed to access the response of epithelial cells upon parasitic infection and to do a temporal analysis of the transcriptome of the parasite inside the organoid lumen. We isolated RNA from infected human lung and small intestinal organoids at 24 and 72 hour post infection. Methods: Organoids were grown in expansion or differentiation media and microinjected with equal amounts of Cryptosporidium oocysts. Media-injected organoids were used as a control .Expanding SI organoids were microinjected at 5-6 days after seeding, differentiated SI organoids were injected at 5 days after inducing differentiation. Lung organoids were incubated for 2 weeks after seeding for microinjection. RNA was extracted from 1-2 matrigel drops containing organoids. RNA was converted to cDNA and libraries were prepared using the CelSeq2 method and sequenced. Samples were sequenced on Illumina NextSeq500 by using 75-bp paired-end sequencing. Methods: Paired-end reads from Illumina sequencing were aligned to the human transcriptome genome and C. parvum transcriptome genome (Iowa strain) by BWA. DeSeq (v1.18.0) was used for read normalization and differential expression analysis (p-value adjustment 0.05 by method Benjamini-Hochberg). Gene set enrichment analysis (GSEA) was performed using gene lists for type I interferon response and regulation against normalized RNA-seq reads of injected SI and lung organoids using GSEA software v3.0 beta2. Results: At 24 hr post-infection,GO (gene ontology)-term analysis revealed that a substantial number of genes related to 'cytoskeleton' and 'cell mobility' were up-regulated in lung organoids. This suggests that infection by the parasites and subsequent formation of the intracellular stages within 24 hrs might affects cytoskeleton structures of host cells. After 72 hrs, many genes associated with the type I interferon pathway increased dramatically in lung and intestinal organoids. Results: After 72 hrs, many genes associated with the type I interferon pathway increased dramatically in lung and intestinal organoids. Multiple C. parvum genes were differentially expressed with a large fold change between 24 and 72 hr post-injection.At 24 hr post-infection, most of the enriched genes represented ribosomal proteins and ribosomal RNA subunits in both intestinal organoids and lung organoids. By contrast, at 72 hr post-infection, multiple oocyst-wall protein genes were up-regulated, confirming that the parasites formed new oocysts within the organoids. Conclusions: RNA sequencing of injected organoids revealed host epithelial responses upon parasite infection in differentiated SI organoids as well as in lung organoids.Upregulation of genes associated with type I interferon immunity in both SI and lung organoids. Overall design: mRNA profiles of C. parvum infected human lung and intestinal organoids were generated by Deep Sequencing. Transcriptome profiles were generated from 2 human donors and samples were prepared in triplicates (Illumina NextSeq500 by using 75-bp paired-end sequencing).

Publication Title

Modelling Cryptosporidium infection in human small intestinal and lung organoids.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE60639
Transcriptome_Methylome_Sirt1KOESC
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sirt1 Regulates DNA Methylation and Differentiation Potential of Embryonic Stem Cells by Antagonizing Dnmt3l.

Sample Metadata Fields

No sample metadata fields

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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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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