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SRP163378
Mus musculus
32 Downloadable Samples
NextSeq 500
Description
Breast tumors are characterized by inherent heterogeneity but the evolving cellular organization of breast tumors through progression remains poorly understood. Individual clones were tracked by combining mouse models of breast cancer with Confetti reporter strains. Expression profiling of individual clones sorted from tumors arising in K5- and Elf5-driven Pten/p53-deficient mice revealed distinct molecular signatures. Overall design: K5-rtTA-IRES-GFP and ElF5-rtTA-IRES-GFP transgenic mice were crossed with TetO-cre (JAX) and R26R-Confetti reporter strains to generate triple genetically modified mice. The mice were treated with medroxyprogesterone acetate (MPA) and dimethylbenz(a)anthracene (DMBA) to induce carcinogenesis. Three K5-driven and five Elf5-driven mammary tumors were selected. Individual live cells from each tumor were FACS sorted by the four Confetti fluorescent markers (to select individual clones) and by CD24 expression (high or low). Cell subsets for the eight tumors, four fluorescent markers and positive or negative CD24 status were profiled by RNA-seq (38 samples in all). Expression was quantified by counting RNA-seq reads at the gene level and (separately) at the exon level.
Publication Title
Intraclonal Plasticity in Mammary Tumors Revealed through Large-Scale Single-Cell Resolution 3D Imaging.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 228 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that anakinra, a recombinant human IL-1 receptor antagonist, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 14 European tertiary referral centers, 69 patients aged 18-35 with T1D, < 12 weeks of symptoms, and standard mixed meal test (MMT) stimulated C-peptide 200 pM were enrolled between January, 2009 and July, 2011 and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 100 mg anakinra (n=35) subcutaneously once daily or placebo (n=34) for 9 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT, and secondary end-points changes in insulin requirements, glycaemia, and inflammatory markers at one, three, six, and nine months. Findings: The study was prematurely terminated due to slow accrual and is closed to follow-up. No interim analysis was performed. Ten patients withdrew in the anakinra and eight in the placebo arm, leaving 25 and 26 patients to be analysed, respectively. There was no statistical difference in adverse event category reporting between arms. Interpretation: Anakinra-treatment in T1D was safe, but the trial failed to meet primary and secondary outcome measures.
Publication Title
Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 187 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Blocking the action of the pro-inflammatory cytokine interleukin-1 (IL-1) reduces beta-cell secretory dysfunction and apoptosis in vitro, diabetes incidence in animal models of Type 1 diabetes mellitus (T1D), and glycaemia via improved beta-cell function in patients with T2D. We hypothesised that canakinumab, a monoclonal antibody to IL-1B, improves beta-cell function in patients with new-onset T1D. Methods: In an individually randomised, two-group parallel trial involving 12 sites in US, 69 patients aged 6-45 with T1D, < 12 weeks of symptoms, and assigned by centralised computer-generated blocked randomisation with locked computer-file concealment to treatment with 2 mg/kg (maximum 300 mg) canakinumab (n=45) or placebo (n=22) monthly for 12 months as add-on to conventional therapy. Participants and care-givers, but not data monitoring unit, were masked to group assignment. The primary end-point was change in the two-hour area-under-the-curve C-peptide response to MMT 12 months.
Publication Title
Interleukin-1 antagonism moderates the inflammatory state associated with Type 1 diabetes during clinical trials conducted at disease onset.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 96 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The cure rate for childhood ALL has improved considerably in part because therapy is routinely tailored to the predicted risk of relapse. Various clinical and laboratory variables are used in current risk-stratification schemes, but many children who fail therapy lack adverse prognostic factors at initial diagnosis. Using gene expression analysis, we have identified genes and pathways in a NCI high-risk childhood B-precursor ALL cohort at diagnosis that may play a role in early blast regression as correlated with the Day 7 marrow status. We have also identified a 47-probeset signature (representing 41 unique genes) that was predictive of long term outcome in our dataset as well as three large independent datasets of childhood ALL treated on different protocols.
Publication Title
Gene expression signatures predictive of early response and outcome in high-risk childhood acute lymphoblastic leukemia: A Children's Oncology Group Study [corrected].
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 404 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Patients with cytogenetically normal acute myeloid leukemia (CN-AML) show heterogeneous treatment outcomes. We used gene expression profiling to develop a gene signature that predicts overall survival (OS) in CN-AML. Based on data from 163 patients treated in the German AMLCG 1999 trial and analyzed on oligonucleotide microarrays, we used supervised principal component analysis to identify 86 probe sets (representing 66 different genes) which correlated with OS, and defined a prognostic score based on this signature. When applied to an independent cohort of 79 CN-AML patients, this continuous score remained a significant predictor for OS (hazard ratio [HR], 1.85; P=0.002), EFS (HR, 1.73; P=0.001), and RFS (HR, 1.76; P=0.025). It kept its prognostic value in multivariate analyses adjusting for age, FLT3 ITD and NPM1 status. In a validation cohort of 64 CN-AML patients treated on CALGB study 9621, the score also predicted OS (HR, 4.11; P<0.001), EFS (HR, 2.90; P<0.001), and RFS (HR, 3.14, P<0.001) and retained its significance in a multivariate model for OS. In summary, we present a novel gene expression signature that offers additional prognostic information for patients with CN-AML.
Publication Title
An 86-probe-set gene-expression signature predicts survival in cytogenetically normal acute myeloid leukemia.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 77 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)
Description
The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.
Publication Title
Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 53 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Rhabdoid tumors (RT) are aggressive tumors characterized by genetic loss of SMARCB1 (SNF5, INI-1), a component of the SWI/SNF chromatin remodeling complex. No effective treatment is currently available. This study seeks to shed light on the SMARCB1-mediated pathogenesis of RT and to discover potential therapeutic targets. Global gene expression of 10 RT was compared with 12 cellular mesoblastic nephromas, 16 clear cell sarcomas of the kidney, and 15 Wilms tumors. 114 top genes were differentially expressed in RT (p<0.001, fold change >2 or <0.5). Among these were down-regulation of SMARCB1 and genes previously associated with SMARCB1 (ATP1B1, PTN, DOCK4, NQO1, PLOD1, PTP4A2, PTPRK). 28/114 top differentially expressed genes were involved with neural or neural crest development and were all sharply down-regulated. This was confirmed by Gene Set Enrichment Analysis (GSEA). Neural and neural crest stem cell marker proteins SOX10, ID3, CD133 and Musashi were negative by immunohistochemistry, whereas Nestin was positive. Decreased expression of CDKN1A, CDKN1B, CDKN1C, CDKN2A, and CCND1 was identified, while MYC-C was upregulated. GSEA of independent gene sets associated with bivalent histone modification and polycomb group targets in embryonic stem cells demonstrated significant negative enrichment in RT. Several differentially expressed genes were associated with tumor suppression, invasion and metastasis, including SPP1 (osteopontin), COL18A1 (endostatin), PTPRK, and DOCK4. We conclude that RTs arise within early progenitor cells during a critical developmental window in which loss of SMARCB1 directly results in repression of neural development, loss of cyclin dependent kinase inhibition, and trithorax/polycomb dysregulation.
Publication Title
Rhabdoid tumor: gene expression clues to pathogenesis and potential therapeutic targets.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 35 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)
Description
The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.
Publication Title
Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 42 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
The clinical and cytogenetic features associated with T-cell acute lymphoblastic leukemia (T-ALL) are not predictive of early treatment failure. Based on the hypothesis that microarrays might identify patients who fail therapy, we used the Affymetrix U133 Plus 2.0 chip and prediction analysis of microarrays (PAM) to profile 50 newly diagnosed patients who were treated in the Children's Oncology Group (COG) T-ALL Study 9404. We identified a 116-member genomic classifier that could accurately distinguish all 6 induction failure (IF) cases from 44 patients who achieved remission; network analyses suggest a prominent role for genes mediating cellular quiescence. Seven genes were similarly upregulated in both the genomic classifier for IF patients and T-ALL cell lines having acquired resistance to neoplastic agents, identifying potential target genes for further study in drug resistance. We tested whether our classifier could predict IF within 42 patient samples obtained from COG 8704 and, using PAM to define a smaller classifier for the U133A chip, correctly identified the single IF case and patients with persistently circulating blasts. Genetic profiling may identify T-ALL patients who are likely to fail induction and for whom alternate treatment strategies might be beneficial.
Publication Title
Identification of genomic classifiers that distinguish induction failure in T-lineage acute lymphoblastic leukemia: a report from the Children's Oncology Group.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 43 Downloadable Samples
- Illumina HiSeq 2000
Description
The Adar1 deaminase inactive mutant mouse tissue samples were obtain from the Walkley lab as described in http://www.ncbi.nlm.nih.gov/pubmed/26275108. We performed mmPCR-seq on the samples and measured the editing levels of. Overall design: Fetal mRNA profiles of E12.5 wild type (WT) and ADAR E861A mutant mice were generated by deep sequencing using Illumina HiSeq 2000.
Publication Title
Dynamic landscape and regulation of RNA editing in mammals.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples