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accession-icon SRP075061
Transcriptome analysis in HT29 and SW480 cells depleted of Prdx2
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Prdx2 is the thioredoxin-dependent peroxidase that reduces H2O2 using reducing power NADPH in the presence of thioredoxin and thioredoxin reductase. Prdx2 plays an important role in growth. factor signaling in mammlian cells. Therefore, we examined the gene expression in colon adenocarcinoma cell line HT29 after Prdx2 depletion. Prdx2 depletion resulted in a significant alteration on gene expression, including protein synthesis, metabolisms, and cell cycle. Overall design: Control-siRNA-transfected versus PRDX2-siRNA-transfected HT29 and SW480 cells

Publication Title

Interaction of tankyrase and peroxiredoxin II is indispensable for the survival of colorectal cancer cells.

Alternate Accession IDs

GSE81429

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP124875
A facile method for generating tumorigenic cancer stem cell spheroids from diverse cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Although cancer stem cells (CSCs) are thought to be responsible for tumor recurrence and resistance to chemotherapy, CSC-related research and drug development have been hampered by the limited supply of patient-derived diverse CSCs. Here, we developed a functional polymer thin film (PTF) platform that promotes conversion of human cancer cell lines to highly tumorigenic spheroids without the use of biochemical or genetic manipulations. Culturing various human cancer cells on the specific PTF, poly(2,4,6,8-tetravinyl-2,4,6,8-tetramethyl cyclotetrasiloxane) (pV4D4), gave rise to numerous multicellular spheroids within 24 hours, with high efficiency and reproducibility. Cancer cells in the resulting spheroids showed an enormous increase in the expression of CSC-associated genes and acquired dramatically increased drug resistance compared with monolayer-cultured controls. These spheroids also showed greatly enhanced xenograft tumor-forming ability and metastasis capacity in nude mice. By enabling the generation of tumorigenic spheroids as a patient-derived CSC substitute, the surface platform described here will likely contribute to CSC-related basic research and drug development. Overall design: mRNA profiles of 8 day-SKOV3-ssiCSC spheroids and 2D-cultured SKOV3 control were generated by deep sequencing, in duplicate, using Hiseq-2500.

Publication Title

Polymer Thin Film-Induced Tumor Spheroids Acquire Cancer Stem Cell-like Properties.

Alternate Accession IDs

GSE106848

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE51732
Epigenetic silencing of noncoding RNA nc886 provokes oncogenes during esophageal tumorigenesis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

nc886 is a 101 nucleotides long non-coding RNA that is also known as a precursor microRNA or a vault RNA. nc886 has been suggested to be a tumor suppressor, mainly inferred by its expression pattern as well as its genomic location at human chromosome 5q31, a locus for a tumor suppressor gene(s).

Publication Title

Epigenetic silencing of the non-coding RNA nc886 provokes oncogenes during human esophageal tumorigenesis.

Alternate Accession IDs

E-GEOD-51732

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE74156
An integrated systems biology approach identifies positive cofactor 4 as a pluripotency regulatory factor
  • 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

An integrated systems biology approach identifies positive cofactor 4 as a factor that increases reprogramming efficiency.

Alternate Accession IDs

E-GEOD-74156

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE74151
Expression data from three types of spermatogonial stem cells.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Multipotent spermatogonial stem cells (mSSCs) derived from SSCs are a potential new source of individualized pluripotent cells in regenerate medicine such as ESCs. We hypothesized that the culture-induced reprogramming of SSCs was mediated by a mechanism different from that of iPS, and was due to up-regulation of specific pluripotency-related genes during cultivation. Through a comparative analysis of expression profile data, we try to find cell reprogramming candidate factors from mouse spermatogonial stem cells. We used microarrays to analyze the gene expression profiles of culture-induced reprogramming converting unipotent spermatogonial stem cells to pluripotent spermatogonial stem cells.

Publication Title

An integrated systems biology approach identifies positive cofactor 4 as a factor that increases reprogramming efficiency.

Alternate Accession IDs

E-GEOD-74151

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP064978
RNA sequencing analysis in WT and Pc4-OE mESC lines.
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Spermatogonial stem cells (SSCs) can spontaneously dedifferentiate into embryonic stem cell (ESC)-like cells, which are designated as multipotent SSCs (mSSCs), without ectopic expression of reprogramming factors. SSCs express key OSKM reprogramming factors at some levels, and do not require ectopic expression of any gene for the acquisition of pluripotency during reprogramming to mSSCs. Therefore, we reasoned that additional factors are required to regulate SSC reprogramming. In this study, we first compared the expression of reprogramming signature genes among somatic cells, iPSC, SSCs, mSSCs, and partially reprogramed cells, and found that they appear to have similar pluripotency states, whereas their transcriptional program differs. We developed a systems biology approach to prioritise genes for pluripotency regulatory factors by integrating transcriptome and interactome data on the genome-wide functional network. Then, we performed a series of systematic gene prioritisation steps and identified 53 candidates, which included some known reprogramming factors. We experimentally validated one particular candidate, Positive cofactor 4 (Pc4), which was expressed in PSCs and yielded a positive RNA interference (RNAi) response in an Oct4 reporter assay. We demonstrated that Pc4 enhanced the efficiency of OSKM-mediated reprogramming by promoting the transcriptional activity of key pluripotency factors, and by regulating the expression of many protein- and miRNA-encoding genes involved in reprogramming and somatic cell-specific genes. Overall design: Pc4-overexpressing mESC lines were established by Venus (YFP)-expressing lentiviral transfection. The mESCs were split at a density of 2 ´ 104 cells onto fresh MEF feeder cells seeded into a 6 well dish (containing mESC growth medium) with virus particles, and 25 µg/ml polybrene (Sigma Aldrich) was added. After 24 h, the medium was replaced with fresh growth medium. After 4 days later, mESC colonies expressing YFP were picked and replated. Three different Pc4-overexpressing mESC lines were established.

Publication Title

An integrated systems biology approach identifies positive cofactor 4 as a factor that increases reprogramming efficiency.

Alternate Accession IDs

GSE74149

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE51342
Comparative gene expression analysis of dental follicle and periodontal ligament in humans
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to evaluate and compare the gene expression profiles of dental follicle and periodontal ligament in humans, which can possibly explain their functions of dental follicle and PDL such as eruption coordination and stress resorption. That may apply this information to clinical problem like eruption disturbance and to periodontal tissue engineering.

Publication Title

Comparative gene-expression analysis of the dental follicle and periodontal ligament in humans.

Alternate Accession IDs

E-GEOD-51342

Sample Metadata Fields

Specimen part

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accession-icon SRP118068
Isolation and functional examination of the long non-coding RNA Redrum
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Sought to isolate multiple long non-coding RNAs (lncRNAs) specifically expressed during murine embryogenesis. Multiple tissue-specifically expressed lncRNAs were identified based on differential expression levels between telencephalon and whole body. Detailed funtional analysis of one of the lncRNAs were carried out, and a report is being prepared. Overall design: Total RNA was isolated from telencephalon and whole body and was subjected to RNAseq analysis. Differentially expressed lncRNAs were identified.

Publication Title

Isolation and Functional Examination of the Long Non-Coding RNA <i>Redrum</i>.

Alternate Accession IDs

GSE103986

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP132291
A Lignin Molecular Brace Controls Precision Processing of Cell Wall Critical for Surface Integrity in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The cell wall is a defining feature of plant cells and glues cells to each other. To overcome this physical constraint, plants must process and disconnect cell wall linkages during growth and development. However, little is known about the mechanism guiding cell-cell detachment and cell wall remodeling. Here, we identify two neighboring cell types in Arabidopsis that coordinate their activities to control cell wall processing, thereby ensuring precise abscission to discard organs. One cell type produces a honeycomb structure of lignin, which acts as a mechanical 'brace' to localize cell wall breakdown and spatially limit abscising cells. The second cell type undergoes transdifferentiation into epidermal cells, forming protective cuticle, demonstrating de novo specification of epidermal cells, previously thought to be restricted to embryogenesis. Loss of the lignin brace leads to inadequate cuticle formation, resulting in surface barrier defects and susceptible to infection. Altogether, we show how plants precisely accomplish abscission. Overall design: RECs (Residuum cells, abscission zone cells of the receptacle) and SECs (Secession cells, abscission zone cells of separated floral organs) were isolated using fluorescence-activated cell sorting of cells from transgenic plants harboring proQRT2::nlsGFP–GUS construct, and their transcriptomes were analyzed by RNA-sequencing.

Publication Title

A Lignin Molecular Brace Controls Precision Processing of Cell Walls Critical for Surface Integrity in Arabidopsis.

Alternate Accession IDs

GSE110213

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE8894
Prediction of Recurrence-Free Survival in Postoperative NSCLC Patientsa Useful Prospective Clinical Practice
  • organism-icon Homo sapiens
  • sample-icon 138 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background:

Publication Title

Prediction of recurrence-free survival in postoperative non-small cell lung cancer patients by using an integrated model of clinical information and gene expression.

Alternate Accession IDs

E-GEOD-8894

Sample Metadata Fields

Sex, Age, 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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