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accession-icon SRP116104
Folate modulation induces chromosomal instability and higher proliferation of immortalized human keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression variation upon folate deficiency and repletion in human foreskin keratinocytes immortalized by HPV16E6E7 Overall design: Effects of folate modulation on several cellular events such as DNA stability

Publication Title

Folate Repletion after Deficiency Induces Irreversible Genomic and Transcriptional Changes in Human Papillomavirus Type 16 (HPV16)-Immortalized Human Keratinocytes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP155892
RNA-seq datasets for "A neuron-optimized CRISPR/dCas9 activation system for robust and specific gene regulation"
  • organism-icon Rattus norvegicus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

This dataset contains whole-genome RNA sequencing results from rat embryonic hippocampal neuronal cultures and serves as the basis for characterization of CRISPR/dCas9 gene activation in neuronal systems. Overall design: This experiment contains 9 biological samples, each of which underwent directional, paired-end PolyA+ RNA-seq on an Illumina Next-seq 500. Samples were treated with Lacz sgRNA (LZ2, LZ4, & LZ5), Bdnf-I sgRNA (B16, B17, B18), or Bdnf-IV sgRNA (BIV11, BIV14, BIV15), in addition to a dCas9-VPR fusion. Datasets were obtained using RNA-seq from PolyA+ fractions fractions of RNA. Each sample has multiple files, corresponding to different sequencing lanes (e.g., L001, L002, etc) or different reads (e.g., R1, R2).

Publication Title

A Neuron-Optimized CRISPR/dCas9 Activation System for Robust and Specific Gene Regulation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP072383
Transcriptome of Zfp36l1-deficient MZ B cells, WT MZ B cells and WT FO B cells.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: to identify the effects on the transcriptome of deleting ZFP36L1 in MZ B cells Overall design: Method (MZ B cells): RNAseq libraries were prepared from 5ng RNA isolated from sorted ex-vivo MZ B cells. Total RNA samples were sent to Aros Applied Biotechnology A/S and were prepared using the Clontech SMARTer kit. Libraries were sequenced (100bp paired end) on the Illumina Hiseq. Method (FO B cells): RNAseq libraries were prepared from RNA isolated from sorted ex-vivo FO B cells. Total RNA samples were sent to Aros Applied Biotechnology A/S and were prepared using the TruSeq Stranded mRNA Sample Prep Kit (Illumina). Libraries were sequenced (100bp single end) on the Illumina Hiseq.

Publication Title

Maintenance of the marginal-zone B cell compartment specifically requires the RNA-binding protein ZFP36L1.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP070761
Late pre-B cell transcriptomes from Zfp36l1 Zfp36l2 double knockout mice [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: Conditional knockout of Zfp36l1 Zfp36l2 in pro-B cells perturbs B cell development leading to reduced V(D)J recombination and diminished numbers of cells in successive stages of development. This RNA seq experiment aimed to determine the molecular pathways affected by loss of Zfp36l1 and Zfp36l2, and to deduce direct targets of these RNA binding proteins. Methods: RNAseq libraries were prepared from 0.1 µg of RNA from sorted control and DCKO late pre-B cells using TruSeq RNA sample preparation kit v2 modified to be strand specific using the dUTP method. Libraries were sequenced by an Illumina genome analyzer II measuring 54bp single-end reads. Over 30 million reads were measured from each sample. The reads were trimmed to remove adapter sequences using Trim Galore then mapped using Tophat (version 1.1.4) to the NCBIm37 mouse assembly (April 2007, strain C57BL/6J); reads with an identical sequence to more than one genomic locus were not mapped. Quality control analysis was carried out with FastQC. Results: Read counts for each gene were generated in SeqMonk: transcripts from the same gene were collapsed into a single transcript containing all exons, so total reads were counted without considering alternative splice forms. Since the libraries were strand-specific only reads on the opposing strand were counted. Differences in the abundance of transcripts between DCKO and control late pre-B cells were calculated in the R/Bioconductor program DESeq (version 1.12.1). Adjusted P values for differential expression were calculated in DESeq using a Benjamini-Hochberg correction: genes with an adjusted p-value of less than 5% were considered significant. Differentially expressed mouse transcripts identified using DESeq were analyzed for gene set enrichment using Toppfun. Conclusions: We identified an enrichment of mRNAs involved in cell cycle progression within Zfp36l1 Zfp36l2 double conditional knockouts. Overall design: RNAseq of late pre-B cells from control and Zfp36l1, Zfp36l2 double conditional knockout mice.

Publication Title

RNA-binding proteins ZFP36L1 and ZFP36L2 promote cell quiescence.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE85913
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sex and strain dependent differences in mucosal immunology and microbiota composition in mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE85911
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition (colon)
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

A dysbiosis in the intestinal microbiome plays a role in the pathogenesis of several immunological diseases. These diseases often show a gender bias, suggesting gender differences in immune responses and in the intestinal microbiome. We hypothesized that gender differences in immune responses are associated with gender differences in microbiota. We demonstrated mouse strain dependent gender differences in the intestinal microbiome. Interestingly, a cluster of colonic genes (related to humoral and cell-mediated immune responses) correlated oppositely with microbiota species abundant in B6 females and in BALB/c males. This suggests that with different genetic backgrounds, gender associated immune responses are differentially regulated by microbiota. The net result was the same, since both mouse strains showed similar gender induced differences in immune cell populations in the mesenteric lymph nodes. Therefore, host-microbe interactions might be more complicated than assumed, as bacterial-species adaptations might be highly dependent on the genetic make-up of the individual.

Publication Title

Sex and strain dependent differences in mucosal immunology and microbiota composition in mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE85912
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition (ileum)
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

A dysbiosis in the intestinal microbiome plays a role in the pathogenesis of several immunological diseases. These diseases often show a gender bias, suggesting gender differences in immune responses and in the intestinal microbiome. We hypothesized that gender differences in immune responses are associated with gender differences in microbiota. We demonstrated mouse strain dependent gender differences in the intestinal microbiome. Interestingly, a cluster of colonic genes (related to humoral and cell-mediated immune responses) correlated oppositely with microbiota species abundant in B6 females and in BALB/c males. This suggests that with different genetic backgrounds, gender associated immune responses are differentially regulated by microbiota. The net result was the same, since both mouse strains showed similar gender induced differences in immune cell populations in the mesenteric lymph nodes. Therefore, host-microbe interactions might be more complicated than assumed, as bacterial-species adaptations might be highly dependent on the genetic make-up of the individual.

Publication Title

Sex and strain dependent differences in mucosal immunology and microbiota composition in mice.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE104063
Aged gut microbiota contributes to systemical inflammaging after transfer to germ-free mice
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Advanced age is associated with chronic low-grade inflammation, which is usually referred to as inflammaging. Elderly are also known to have an altered gut microbiota composition. However, whether inflammaging is a cause or consequence of an altered gut microbiota composition is not clear. In this study gut microbiota from young or old conventional mice was transferred to young germ-free mice. Four weeks after gut microbiota transfer immune cell populations in spleen, Peyers patches, and mesenteric lymph nodes from conventionalized germ-free mice were analyzed by flow cytometry. In addition, whole-genome gene expression in the ileum was analyzed by microarray. Gut microbiota composition of donor and recipient mice was analyzed with 16S rDNA sequencing. Here we show by transferring aged microbiota to young germ-free mice that certain bacterial species within the aged microbiota promote inflammaging. This effect was associated with lower levels of Akkermansia and higher levels of TM7 bacteria and Proteobacteria in the aged microbiota after transfer. The aged microbiota promoted inflammation in the small intestine in the germ-free mice and enhanced leakage of inflammatory bacterial components into the circulation was observed. Moreover, the aged microbiota promoted increased T cell activation in the systemic compartment. In conclusion, these data indicate that the gut microbiota from old mice contributes to inflammaging after transfer to young germ-free mice.

Publication Title

Aged Gut Microbiota Contributes to Systemical Inflammaging after Transfer to Germ-Free Mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE25629
Inhibitory Actions of Anti-Mllerian Hormone (AMH) on Ovarian Primordial Follicle Assembly
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

The current study was designed to investigate the actions of Anti-Mllerian Hormone (AMH) on primordial follicle assembly. Ovarian primordial follicles develop from the breakdown of oocyte nests during fetal development for the human and immediately after birth in rodents. AMH was found to inhibit primordial follicle assembly, decrease the initial primordial follicle pool size and promote the persistence of small oocyte nests in a rat ovarian organ culture. The AMH expression was found to be primarily in the stromal tissue of the ovaries at this period of development, suggesting a stromal-epithelial cell interaction for primordial follicle assembly. AMH was found to promote alterations in the ovarian transcriptome during primordial follicle assembly with over 200 genes with altered expression. A gene network was identified suggesting a potential central role for the Fgf2/Nudt6 antisense transcript in the follicle assembly process. A number of signal transduction pathways are regulated by AMH actions on the ovarian transcriptome, in particular the transforming growth factor beta (TGF) signaling process. AMH is the first hormone/protein shown to have an inhibitory action on primordial follicle assembly. Due to the critical role of the primordial follicle pool size for female reproduction, elucidation of the factors, such as AMH, that regulate the assembly process will provide insights into potential therapeutics to manipulate the pool size and female reproduction.

Publication Title

Inhibitory actions of Anti-Müllerian Hormone (AMH) on ovarian primordial follicle assembly.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP100060
Differential gene expression in IDH1-R132H Low Grade Glioma animal brain tumors brain in response to 10 Gy of radiation
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

IDH1-R132H is expressed in Low Grade Glioma (LGG) in combination with loss of function mutation in ATRX and TP53 genes. IDH1-R132H results in gain of function with production of 2-hydroxygluatrate, that in turn generates a hypermethylatyed phenotype in DNA and histone with consequences in epigenetic regulation of gene expression. Here we will compare the gene expression profile between IDH1-R132H and IDH1 Wt LLG animal brain tumors in reponse to radiation Overall design: Evaluate differential gene expression between Brain DH1-R132H and IDH1 wt in response to 10Gy ionizing radiation at 14 days after tumor neurospheres implantation

Publication Title

IDH1-R132H acts as a tumor suppressor in glioma via epigenetic up-regulation of the DNA damage response.

Sample Metadata Fields

Specimen part, Treatment, Subject

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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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