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accession-icon GSE134381
Metabolomics, Transcriptomic and Genetic - Integrative Analysis Reveals Important Roles of Adenosine Diphosphate in Haemostasis and Platelet Activation in Non-Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Transcriptomic and genetic profiles of tumours and matched normal tissues could help to identify important factors and potential therapeutic targets that contribute to tumorigenesis. We integrated omics profiles in tumours and matched adjacent normal tissues of patients with LUSC (N = 20) and LUAD (N = 17)

Publication Title

Metabolomic, transcriptomic and genetic integrative analysis reveals important roles of adenosine diphosphate in haemostasis and platelet activation in non-small-cell lung cancer.

Sample Metadata Fields

Sex, Age

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accession-icon GSE57115
Placental gene expression in intestinal nematode-infected and protein-deficient mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Protein deficiency and intestinal parasite infection during pregnancy impair fetal growth through passage of signals from the maternal environment which signal impairment of fetal growth. The placenta is an important regulator of the transfer of these signals through differential expression of key placental genes. We used microarrays to examine placental gene expression responses to maternal protein deficiency (6% vs. 24% protein) and Heligmosomoides bakeri infection.

Publication Title

Expression of growth-related genes in the mouse placenta is influenced by interactions between intestinal nematode (Heligmosomoides bakeri) infection and dietary protein deficiency.

Sample Metadata Fields

Specimen part

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accession-icon GSE15102
Targetting CD24 for treatment of colorectal and pancreatic cancer by monoclonal antibodies or siRNA
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

CD24 is a potential oncogene reported to be overexpressed in a large variety of human malignancies. We have shown that CD24 is overexpressed in 90% of colorectal tumors at a fairly early stage in the multistep process of carcinogenesis. Anti-CD24 monoclonal antibodies (mAb) induce a significant growth inhibition in colorectal and pancreatic cancer cell lines that express the protein. This study is designed to investigate further the effects of CD24 down-regulation using mAb or small interfering RNA in vitro and in vivo. Western blot analysis showed that anti-CD24 mAb induced CD24 protein down-regulation through lysosomal degradation. mAb augmented growth inhibition in combination with five classic chemotherapies. Xenograft models in vivo showed that tumor growth was significantly reduced in mAb-treated mice. Similarly, stable growth inhibition of cancer cell lines was achieved by down-regulation of CD24 expression using short hairpin RNA (shRNA). The produced clones proliferated more slowly, reached lower saturation densities, and showed impaired motility. Most importantly, down-regulation of CD24 retarded tumorigenicity of human cancer cell lines in nude mice. Microarray analysis revealed a similar pattern of gene expression alterations when cells were subjected to anti-CD24 mAb or shRNA. Genes in the Ras pathway, mitogenactivated protein kinase, or BCL-2 family and others of oncogenic association were frequently down-regulated. As a putative new oncogene that is overexpressed in gastrointestinal malignancies early in the carcinogenesis process, CD24 is a potential target for early intervention in the prevention and treatment of cancer.

Publication Title

Targeting CD24 for treatment of colorectal and pancreatic cancer by monoclonal antibodies or small interfering RNA.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE40904
Gene expression analysis for Il13Ra2-positive and IL13Ra2-negative glioma cell lines
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Affymetrix expression profiling was used to evaluate the association between IL13R2 expression, and mesenchymal, proneural, classical and neural signature genes expression for glioma subclasses defined by Verhaak et al (Cancer Cell; 2010).

Publication Title

Glioma IL13Rα2 is associated with mesenchymal signature gene expression and poor patient prognosis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP172805
Single Cell RNA sequence data from a human ovarian cancer sample
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. Amplifed cDNA was sequenced using an Illumina HiSeq 2500 machine. Results: Single cell RNA sequence data was obtained for 92 cells and a "bulk" sample of 1000 cells. 26 cells were removed from analysis due to quality control standards. The remaining 66 cells and the bulk sample were analyzed. Conclusion: Single cell RNA sequence analysis reveals heterogeneity in gene expression in cells harvested from a high grade ovarian serous cancer Overall design: A single cell suspension generated from a fresh high grade serous ovarian cancer sample was run through two Fluidigm C1 chips to isolate single cells and produce barcoded cDNA. Sequencing was performed in a single lane of an Illumina HiSeq 2500 machine. 92 single cells were sequenced and 1 bulk sample was sequenced, for a total of 93 samples.

Publication Title

Single cell sequencing reveals heterogeneity within ovarian cancer epithelium and cancer associated stromal cells.

Sample Metadata Fields

Subject

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accession-icon GSE11418
Passage dependent gene expression in normal human dermal fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human umbilical vein endothelial cells (HUVECs) formed capillary structures when co-cultured with normal human dermal fibroblasts (NHDFs). HUVEC competence and NHDF supportiveness of cord formation were found to be highly cell-passage dependent with the early passage cells forming more angiogenic cord structures. We thus profiled gene expression in NHDFs with different passages to understand the molecular mechanisms underlying the in vitro angiogenesis control.

Publication Title

Developing and applying a gene functional association network for anti-angiogenic kinase inhibitor activity assessment in an angiogenesis co-culture model.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE76096
CFTR is a tumor suppressor gene in murine and human intestinal cancer
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

CFTR is a tumor suppressor gene in murine and human intestinal cancer.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP067491
CFTR is a tumor suppressor gene in murine and human intestinal cancer [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 62 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Analysis of the cystic fibrosis gene Cftr in the colon and small intestine of Cftr-deficient murine model. The hypothesis was loss of Cftr altered expression of genes important in intestinal homeostasis and oncogenic signaling pathways. The results identified potential roles of Cftr in up- or down-regulating major gene clusters that belong to groups of immune response, ion channel, intestinal stem cell and other growth regulators. Overall design: The experiments were designed to analyze the role of Cftr-deficiency in tumorigenesis. The goal of this study was to identify genes and pathways associated with Cftr-deficiency in Apc wildtype and ApcMin mice. Total RNAs were isolated from mice, and subjected to deep sequencing, in duplicates, using Illumina HiSeq 2500. Samples that were sequenced in the same batch were analyzed in pair-wise using Tophat-Cuffdiff pipeline as outlined in Nature Protocol from Trapnell C. et al, 2012. The results indicated that Cftr-deficiency overlapped with genes and pathways involved in immune and inflammatory signaling, stem cell regulation, and Wnt/beta catenin signaling. Total RNA was isolated from multiple colon tumors and multiple small intestine tumors from Apc wildtype Cftr-deficient mice, ApcMin Cftr-deficient mice, and ApcMin Cftr wildtype mice. Total RNA was also obtained from Apc wildtype normal colon (epithelial cells) and normal duodenum (whole duodenum minus villi) from three Cftr wildtype and three Cftr-deficient mice. RNA Seq was then conducted on all samples with at least two replicates for each biological sample. Please note that 1) The 23 mice were processed in several batches, and two sequencing runs were carried out at two different dates.  To control for the batch effect of sequencing, some samples were included in both runs (run1 and run2). 2) To reach the desired sequencing depth and to keep loading balance, each sample was split into halves, and sequenced on two lanes (L007 and L008 for run1, L006 and L007 for run2). therefore, for 11 samples, there are 4 technical replicates, including the 2-batches and 2-lane sequencing method. For the remaining 12 samples, there are 2 technical replicates, referring to the 2-lane sequencing. 3) some of the mice are heterozygous mutant of CFTR gene (CFTRhet), named as "CFTR knockdown".

Publication Title

CFTR is a tumor suppressor gene in murine and human intestinal cancer.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE75996
CFTR is a tumor suppressor gene in murine and human intestinal cancer [microarray]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of the cystic fibrosis gene Cftr in the colon and small intestine of Cftr-deficient murine model. The hypothesis was loss of Cftr altered expression of genes important in intestinal homeostasis and oncogenic signaling pathways. The results identified potential roles of Cftr in up- or down-regulating major gene clusters that belong to groups of immune response, ion channel, intestinal stem cell and other growth regulators.

Publication Title

CFTR is a tumor suppressor gene in murine and human intestinal cancer.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE99021
Blood transcriptional signatures for disease progression in a rat model of osteoarthritis
  • organism-icon Rattus norvegicus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.1 ST Array (ragene21st)

Description

Biomarkers of osteoarthritis (OA) that can accurately diagnose the disease at the earliest stage would significantly support efforts to develop treatments for prevention and early intervention. The different stages of disease progression are described by the complex pattern of transcriptional regulations. The dynamics in pattern alterations were monitored in each individual animal during the time-course of OA progression.

Publication Title

Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis.

Sample Metadata Fields

Treatment

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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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