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accession-icon SRP156577
RNA sequencing of genetically engineered mouse model lung tumors and normal mouse lung.
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Genetically engineered mouse models (GEMM) of cancer are powerful tools to study multiple aspects of caner biology. We developed a novel GEMM for lung squamous cell carcinoma (LSCC) by genetically combining overexpression of Sox2 with loss of Lkb1: Rosa26LSL-Sox2-IRES-GFP;Lkb1fl/fl (SL). We compared gene expression profiles of SL lung tumors with normal mouse lung tissue, mouse lung adenocarcinoma (LADC) tumors from KrasLSL-G12D/+;Trp53fl/fl (KP), mouse LSCC tumors from Lkb1fl/fl;Ptenfl/fl (LP) model as well as Lenti-Sox2-Cre Lkb1fl/fl. Overall design: Tumors were isolated from formalin-fixed paraffin-embedded (FFPE) tissue samples by microdissection and nucleic acid isolation was performed followed by single-read or paired-end RNA sequencing.

Publication Title

The Lineage-Defining Transcription Factors SOX2 and NKX2-1 Determine Lung Cancer Cell Fate and Shape the Tumor Immune Microenvironment.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP156576
Single-cell RNA-sequencing of tumor associated neutrophils and control peripheral blood neutrophils in a novel lung squamous cell carcinoma mouse model
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor-associated neutrophils (TANs) can be conditioned to become “N2” pro-tumorigenic neutrophils in the tumor microenvironment. TANs have been shown to acquire N2 features and promote multiple aspects of tumor growth in mouse models of many cancers, including non-small cell lung cancer. We developed a novel mouse model for lung squamous cell carcinoma (LSCC): Rosa26LSL-Sox2-IRES-GFP;Nkx2-1fl/fl;Lkb1fl/fl (SNL). SNL mice develop tumors with short latency of ~3 months and SNL tumors have high neutrophil infiltration similar to other LSCC mouse models. We employed this novel model and single-cell RNA-sequencing to profile TANs in SNL lung tumors in comparison to peripheral blood neutrophils (PBNs) from tumor-bearing SNL mice. Overall design: Flow cytometry sorted neutrophils (CD45+CD11B+LY6G+) from freshly isolated SNL lung tumors or peripheral blood from tumor-bearing mice were single-cell RNA sequenced with 10X Genomics.

Publication Title

The Lineage-Defining Transcription Factors SOX2 and NKX2-1 Determine Lung Cancer Cell Fate and Shape the Tumor Immune Microenvironment.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP092906
Comparison of gene expression patterns of two SCLC genetically-engineered mouse models; Rb1 floxed, Trp53 floxed, LSL-Myc T58A-IRES-Luc vs. Rb1 floxed, Trp53 floxed, Rbl2 (p130) floxed
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Myc expression cooperates with Rb1 and Trp53 loss in mouse lungs to generate rapid, aggressive, highly metastatic and neuroendocrine-low tumors that are similar to human variant subset of SCLC with high NEUROD1 expression. Targeted drug screening reveals that mouse and human MYC-driven SCLC are vulnerable to Aurora kinase inhibition in combination with chemotherapy in vivo. Overall design: Tumor formation is induced by infecting the conditional Rb1 fl/fl; Trp53 fl/fl, LSL-Myc (T58A) and Rb1 fl/fl; Trp53 fl/fl, p130 fl/fl GEMMs with adenoviruses with Cgrp promoter driving Cre recombinase. The tumors were macro-dissected from lungs. RNA was extracted from fresh or flash frozen tumors and subjected to single end RNA sequencing.

Publication Title

MYC Drives Progression of Small Cell Lung Cancer to a Variant Neuroendocrine Subtype with Vulnerability to Aurora Kinase Inhibition.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE18300
Hypoxia related splice variants in HNSCC
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The identifcation of alternatively spliced transcript variants specific to particular biological processes in tumours should increase our understanding of cancer. Hypoxia is an important factor in cancer biology and associated splice variants may present new markers to help with planning treatment. A method was developed to analyse alternative splicing in exon array data, using probeset multiplicity to identify genes with changes in expression across their loci, and a combination of the splicing index and a new metric based on the variation of reliability weighted fold changes to detect changes in the splicing patterns. The approach was validated on a cancer/normal sample dataset in which alternative splicing events had been confirmed using RT-PCR. We then analysed ten head and neck squamous cell carcinomas using exon arrays and identified differentially expressed splice variants in five samples with high versus five with low levels of hypoxia-associated genes (Winter et al, 2007; Cancer Res 67:3441-9). The analysis identified a splice variant of LAMA3 (Laminin 3), LAMA3-A, known to be involved in tumour cell invasion and progression. The full-length transcript of the gene (LAMA3-B) did not appear to be hypoxia-associated. The results were confirmed using qualitative real time PCR. In a series of 59 prospectively-collected head and neck tumours (Winter et al, 2007; Cancer Res 67:3441-9), expression of LAMA3-A had prognostic significance whereas LAMA3-B did not. This work illustrates the potential for alternatively spliced transcripts to act as biomarkers of disease prognosis with improved specificity for particular tissues or conditions over assays which do not discriminate between splice variants.

Publication Title

Exon array analysis of head and neck cancers identifies a hypoxia related splice variant of LAMA3 associated with a poor prognosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE49355
Specific extracellular matrix remodeling signature of colon hepatic metastases [HG-U133A]
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To identify genes implicated in metastatic colonization of the liver in colorectal cancer, we collected pairs of primary tumors and hepatic metastases before chemotherapy in 13 patients. We compared mRNA expression in the pairs of patients to identify genes deregulated during metastatic evolution. We then validated the identified genes using data obtained by different groups. The 33-gene signature was able to classify 87% of hepatic metastases, 98% of primary tumors, 97% of normal colon mucosa, and 95% of normal liver tissues in six datasets obtained using five different microarray platforms. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment.

Publication Title

Specific extracellular matrix remodeling signature of colon hepatic metastases.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE61140
Expression data from mouse arthritis tarsal joints
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Pathological bone changes differ considerably between inflammatory arthritic diseases, and most studies have focused on bone erosion. Collagen Induced Arthritis (CIA) is a model for Rheumatoid Arthritis, which, in addition to bone erosion, demonstrates bone formation at the time for clinical manifestations. The objective of this study was to use the CIA model to study bone remodelling by performing a gene expression profiling time-course study on the CIA model.

Publication Title

Kinetics of gene expression and bone remodelling in the clinical phase of collagen-induced arthritis.

Sample Metadata Fields

Specimen part

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accession-icon SRP136693
Celll type specific gene expression from healthy human lung tissue infected with mycobacterium tuberculosis (ILC).
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

We have investigated the initial responses in human lung tissue explants to Mtb infection, focusing primarily on gene expression patterns in different tissue resident innate cell types Overall design: Cells sorted from uninfected and infected lung tissue (24 hrs. post infection)

Publication Title

<i>Mycobacterium tuberculosis</i> Invasion of the Human Lung: First Contact.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP136694
Celll type specific gene expression from healthy human lung tissue infected with mycobacterium tuberculosis (innate).
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

We have investigated the initial responses in human lung tissue explants to Mtb infection, focusing primarily on gene expression patterns in different tissue resident innate cell types Overall design: Cells sorted from uninfected and infected lung tissue (24 hrs. post infection)

Publication Title

<i>Mycobacterium tuberculosis</i> Invasion of the Human Lung: First Contact.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE26050
Gene Expression Profiling of Peripheral Blood Mononuclear Cells from Children With Active Hemophagocytic Lymphohistiocytosis
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Familial hemophagocytic lymphohistiocytosis (FHL) is a rare, genetically heterogeneous autosomal recessive immune disorder that results when the critical regulatory pathways that mediate immune defense mechanisms and the natural termination of immune/inflammatory responses are disrupted or overwhelmed. In order to advance the understanding of FHL, we performed gene expression profiling of peripheral blood mononuclear cells (PBMCs) from 11 children with untreated FHL. Total RNA was isolated and gene expression levels were determined using microarray analysis. Comparisons between patients with FHL and normal pediatric controls (n = 30) identified 915 down-regulated and 550 up-regulated genes with 2.5-fold difference in expression (P = 0.05). The expression of genes associated with natural killer cell functions, innate and adaptive immune responses, pro-apoptotic proteins, and B- and T-cell differentiation were down-regulated in patients with FHL. Genes associated with the canonical pathways of IL-6, IL-10 IL-1, IL-8, TREM1, LXR/RXR activation, and PPAR signaling and genes encoding of anti-apoptotic proteins were overexpressed in patients with FHL. This, first study of genome-wide expression profiling in children with FHL demonstrates the complexity of gene expression patterns, which underly the immunobiology of FHL.

Publication Title

Gene expression profiling of peripheral blood mononuclear cells from children with active hemophagocytic lymphohistiocytosis.

Sample Metadata Fields

Specimen part

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accession-icon SRP072919
Merkel cell polyomavirus small T antigen promotes pro-glycolytic metabolic perturbations required for transformation
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Merkel cell polyomavirus (MCPyV) is an etiological agent of Merkel cell carcinoma (MCC), a highly aggressive skin cancer. The MCPyV small tumor antigen (ST) is required for maintenance of MCC and can transform normal cells. To gain insight into cellular perturbations induced by MCPyV ST, we performed transcriptome analysis of normal human fibroblasts with inducible expression of ST. MCPyV ST dynamically alters the cellular transcriptome with increased levels of glycolytic genes, including the monocarboxylate lactate transporter SLC16A1 (MCT1). Extracellular flux analysis revealed increased lactate export reflecting elevated aerobic glycolysis in ST expressing cells. Inhibition of MCT1 activity suppressed the growth of MCC cell lines and impaired MCPyV-dependent transformation of IMR90 cells. Both NF-?B and MYC have been shown to regulate MCT1 expression. While MYC was required for MCT1 induction, MCPyV-induced MCT1 levels decreased following knockdown of the NF-?B subunit RelA, supporting a synergistic activity between MCPyV and MYC in regulating MCT1 levels. Several MCC lines had high levels of MYCL and MYCN but not MYC. Increased levels of MYCL was more effective than MYC or MYCN in increasing extracellular acidification in MCC cells. Our results demonstrate the effects of MCPyV ST on the cellular transcriptome and reveal that transformation is dependent, at least in part, on elevated aerobic glycolysis. Overall design: Expression of MCPyV ST or GFP was induced in IMR90 fibroblasts, and triplicate RNA samples were extracted and sequenced every 8 hours for a total of 96 hours

Publication Title

Merkel Cell Polyomavirus Small T Antigen Promotes Pro-Glycolytic Metabolic Perturbations Required for Transformation.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
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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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