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accession-icon GSE57947
Identification of genes associated with breast cancer micrometastatic disease in bone marrow using a Patient Derived Xenograft mouse model
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study, using a Patient Derived Xenograft (PDX) system established by transplanting primary tumors from pre-metastatic breast cancer patients we demonstrate that development of distant organ metastases correlates with the presence of Bone Marrow Disseminated Tumor Cells (BM DTCs) in the PDX mice. Comparative gene expression analysis of bone marrow (BM) from tumor bearing PDX mice which developed metastatic disease was carried out with BM from non-tumor bearing controls.

Publication Title

Identifying biomarkers of breast cancer micrometastatic disease in bone marrow using a patient-derived xenograft mouse model.

Sample Metadata Fields

Specimen part

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accession-icon GSE9388
VS94 SAPI AI-2 Temporal study
  • organism-icon Escherichia coli
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

VS94 gene expression at different time-points in SAPI medium in absence and presence of AI-2 was studied.

Publication Title

Temporal regulation of enterohemorrhagic Escherichia coli virulence mediated by autoinducer-2.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15248
Biocompatibility and Discovery of the Potential Applications of Magnetite (Fe3O4) Nanoparticles
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

A Transcriptomics Approach to Study the Biocompatibility and Finding out the Potential Applications of Magnetite (Fe3O4) Nanoparticles

Publication Title

Magnetite (Fe3O4) nanocrystals affect the expression of genes involved in the TGF-beta signalling pathway.

Sample Metadata Fields

Cell line

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accession-icon GSE36111
Expression data from side population cells of the human OSCC cell line SCC172
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

A cancer stem cell cannot be identified solely based on surface markers as none of the markers used to isolate stem cells in various normal and cancerous tissues is expressed exclusively by stem cells. Our experimental results have also identified additional fractions representing true stem-like cells in oral squamous cell carcinoma (OSCC), refuting the concept that cancer stem cells (CSCs) are a rare population, and we have also developed an in vitro model to explore the stem cell concept in oral epithelial tumorigenesis. This model expounds four distinct fractions within a homogenous cell line SCC172 that is morphologically similar (85% cells expressing CSC markers), yet varying in all functional aspects of cell cycle, dye retention, chemoresistance, tumor-forming potential, self renewal, apoptosis resistance and regulation at molecular levels. Relating to our CSC shift model, we analysed the concept of biological heterogeneity in terms of four fractions SP1, SP2, MP1 and MP2 and associated it with variations among patients in a clinical scenario.

Publication Title

Analysis of MicroRNA-mRNA Interactions in Stem Cell-Enriched Fraction of Oral Squamous Cell Carcinoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE32360
Expression data from early Zebrafish embryos after knockdown of mir-34
  • organism-icon Danio rerio
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

microRNAs play crucial roles in the early development of an organism. However the regulation of transcription through the action of microRNAs during the initial embyonic development has not been studied.

Publication Title

miR-34 is maternally inherited in Drosophila melanogaster and Danio rerio.

Sample Metadata Fields

Specimen part

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accession-icon SRP009270
MIWI catalysis is required for piRNA amplification-independent LINE1 transposon silencing [deep sequencing]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II, Illumina Genome Analyzer IIx

Description

Here we show that MIWI is a small RNA-guided ribonuclease (Slicer) that requires extensive complementarity for target cleavage in vitro. Disruption of its catalytic activity in mice by a single point mutation results in male infertility and displays increased accumulation of LINE1 transposon transcripts. Overall design: MIWI-associated piRNAs from different genotypes were sequenced. Total RNA from purified round spermatids were subjected to Ribozero purification and strand-specific RNAseq lib prepared. Global 5'' RACE library was prepare from indicated genotypes.

Publication Title

Miwi catalysis is required for piRNA amplification-independent LINE1 transposon silencing.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE32180
MIWI catalysis is required for piRNA amplification-independent LINE1 transposon silencing [microarray]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Here we show that MIWI is a small RNA-guided ribonuclease (Slicer) that requires extensive complementarity for target cleavage in vitro. Disruption of its catalytic activity in mice by a single point mutation results in male infertility and displays increased accumulation of LINE1 transposon transcripts.

Publication Title

Miwi catalysis is required for piRNA amplification-independent LINE1 transposon silencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP065396
PIWI slicing and EXD1 drive biogenesis of nuclear piRNAs from cytosolic targets of the mouse piRNA pathway
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

PIWI-interacting RNAs (piRNAs) guide PIWI proteins to suppress transposable elements in animal gonads. Here we demonstrate that in the mouse embryonic male germline, endonucleolytic cleavage (slicing) of a transcript by cytosolic MILI acts as a trigger to initiate its further 5??3? processing into non-overlapping fragments. These fragments accumulate as new piRNAs within the nuclear PIWI protein MIWI2. We identify Exonuclease domain-containing 1 (EXD1) as a partner of the established MIWI2 piRNA biogenesis factor TDRD12. Although EXD1 homodimers are inactive as a nuclease, it functions as an RNA adapter within a PET (PIWI-EXD1-Tdrd12) complex. Loss of Exd1 impacts biogenesis of MIWI2 piRNAs and displays a reduction in sequences generated by MILI slicing. This results in selective depletion of repeat piRNAs that target active retrotransposons like LINE1, which are de-repressed in the mutant. We propose that PIWI slicing and EXD1 promote coordination of nucleo-cytoplasmic silencing via piRNA biogenesis. Overall design: Immunoprecipitated or total small RNAs were purified and sequenced from P0 mouse testis of Exd1+/- and Exd1 -/- mice. Testes of three males were pooled together and MILI and MIWI2 immunoprecipitation was performed or total small RNAs were purified. Two replicas from different pools were prepared. For Rosa26-pi reporter mouse P0 testes of three males were pooled together and MILI and MIWI2 immunoprecipitation was performed.

Publication Title

PIWI Slicing and EXD1 Drive Biogenesis of Nuclear piRNAs from Cytosolic Targets of the Mouse piRNA Pathway.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE29262
Functional Plasticity of Regulatory T Cell Function
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Regulatory T cells (Tregs) can suppress a wide variety of cell types, in diverse organ sites and inflammatory conditions. While Tregs possess multiple suppressive mechanisms, the number required for maximal function is unclear. Furthermore, whether any inter-relationship orcross-regulatory mechanisms exist that areused to orchestrate and control their utilization is unknown. Here we assessed the functional capacity of Tregs lacking the ability to secrete both interleukin-10 (IL-10) and IL-35, which individually are required for maximal Treg activity. Surprisingly, IL-10/IL-35-double deficient Tregswere fully functionalin vitro and in vivo. Loss of IL-10 and IL-35 was compensated for by a concurrent increase in cathepsin E (CTSE) expression, enhanced TRAIL (Tnfsf10)expression and soluble TRAIL release, rendering IL-10/IL-35-double deficient Tregsfunctionally dependent on TRAIL in vitro and in vivo. Lastly, while C57BL/6 Tregs are IL-10/IL-35-dependent, Balb/c Tregs, which express high levels of CTSE and enhanced TRAIL expression, are TRAIL-dependent.These data reveal that cross-regulatory pathways exist, which control the utilization of suppressive mechanisms,thereby providing Tregfunctional plasticity.

Publication Title

The plasticity of regulatory T cell function.

Sample Metadata Fields

Specimen part

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accession-icon SRP051659
Detection and Characterization of Gene Expression Differences in Transgenic Glycine max Seeds with RNAseq
  • organism-icon Glycine max
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transformation of Glycine max with seed-targeted expression vectors via Agrobacterium causes measurable unscripted gene expression changes in the seed transcriptome Overall design: mRNA was sequenced from three transgenic events expressing three different recombinant proteins in soybean seeds. Three plants were chosen from each as group replicates, and three seeds from each plant as individual biological replicates.

Publication Title

Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant of <i>Glycine max</i>.

Sample Metadata Fields

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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