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SRP061412
Homo sapiens
8 Downloadable Samples
IlluminaHiSeq2000
Description
RANK-positive and RANK-negative luminal progenitor cells were isolated by FACS from histologically normal human breast tissue from wild-type human donors. RNA-seq gene expression profiling was used to find differentially expressed genes between the RANK-positive and RANK-negative cell populations. Overall design: Cells were isolated from 4 human patients. A paired analysis was used to compare RANK-positive and RANK-negative cells within patients.
Publication Title
RANK ligand as a potential target for breast cancer prevention in BRCA1-mutation carriers.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Illumina HiSeq 2500
Description
The transcriptional profile of Kras;Rank +/+ and Kras;Rank fl/fl mouse primary pneumocytes were determined by mRNA sequencing and uncovered differences in their molecular signatures including genes involved in cell-cell junction, mitosis, mitochondrial homeostasis, TCA cycle and respiratory electron transport Overall design: Transcriptome comparison of primary pneumocytes purified from Kras;Rank+/+ and Kras;Rankfl/fl mice treated with Rankl ex vivo
Publication Title
RANK rewires energy homeostasis in lung cancer cells and drives primary lung cancer.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 157 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The Collaborative Cross (CC) recombinant inbred panel was conceived as an ideal resource for mammalian system genetics. The pre-CC is a proof-of-concept experiment involving CC lines that have undergone at least five generations of inbreeding. Siblings from these lines were each involved in one of four distinct phenotyping arms, then genotyped on a high-density Affymetrix platform. The genetic profile of these emerging lines reveals high diversity, balanced allele frequencies, and well-distributed recombination all ideal qualities for a mapping panel. We have mapped white spot, a discrete trait; body weight, a highly polygenic complex trait; and more than 11,000 liver gene expression traits. These analyses provide a glimpse of the potential mapping power and resolution of the CC.
Publication Title
Genetic analysis of complex traits in the emerging Collaborative Cross.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Human skin-derived precursor cells (hSKP) are a post natal stem cell population isolated from the dermis. These cells acquire hepatic characteristics upon differentiation with hepatogenic factors. Differentiated hSKP show characteristics of hepatocyte precursor cells and respond to hepatotoxic compounds in a comparable way as human hepatocyte cultures.
Publication Title
In vitro assessment of drug-induced liver steatosis based on human dermal stem cell-derived hepatic cells.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 41 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Introduction: Sepsis is a complex immunological response to infection characterized by early hyperinflammation followed by severe and protracted immunosuppression, suggesting that a multi-marker approach has the greatest clinical utility for early detection, within a clinical environment focused on SIRS differentiation. Pre-clinical research using an equine sepsis model identified a panel of gene expression biomarkers that define the early aberrant immune activation. Thus, the primary objective was to apply these gene expression biomarkers to distinguish patients with sepsis from those who had undergone major open surgery and had clinical outcomes consistent with systemic inflammation due to physical trauma and wound healing.
Publication Title
Development and validation of a novel molecular biomarker diagnostic test for the early detection of sepsis.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- IlluminaHiSeq2500
Description
The study was designed to identify differential expressed genes between human oral cavity carcinoma cell lines with and without LDBI knockout Overall design: Three parental human oral cavity carcinoma cell lines were used as control, LDB1 was knocked out in the three parent cell lines to create KO cell lines.
Publication Title
LIM-Only Protein 4 (LMO4) and LIM Domain Binding Protein 1 (LDB1) Promote Growth and Metastasis of Human Head and Neck Cancer (LMO4 and LDB1 in Head and Neck Cancer).
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Human skin-derived precursor cells (hSKP) are a stem cell population that represents key candidates for cell based-therapy. Inflammation, however, is often present in situations where cellular replacement therapy is required. These inflammatory conditions, and more specifically the presence of the cytokine interferon (IFN)-, might result in an increase of MHC class II antigens in hSKP-derived grafts and facilitate their rejection.
Publication Title
Human skin-derived precursor cells are poorly immunogenic and modulate the allogeneic immune response.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Drosophila melanogaster
- 28 Downloadable Samples
- Illumina HiSeq 2500
Description
Y-chromosome aneuploidy strains were generated for 2 distinct Y chromosomes (Ycongo and Yohio), and expression profile analyzed by RNA-seq. Overall design: CONTRAST 1: X^X (control) vs X^XYohio; CONTRAST 2: X^X (control) vs X^XYcongo; CONTRAST 3: X^Y (control) vs X^YYohio; CONTRAST 4: X^Y (control) vs X^YYcongo.
Publication Title
The Y Chromosome Modulates Splicing and Sex-Biased Intron Retention Rates in <i>Drosophila</i>.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples- Homo sapiens
- 105 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Background: Systemic inflammation is a whole body reaction that can have an infection-positive (i.e. sepsis) or infection-negative origin. It is important to distinguish between septic and non-septic presentations early and reliably, because this has significant therapeutic implications for critically ill patients. We hypothesized that a molecular classifier based on a small number of RNAs expressed in peripheral blood could be discovered that would: 1) determine which patients with systemic inflammation had sepsis; 2) be robust across independent patient cohorts; 3) be insensitive to disease severity; and 4) provide diagnostic utility. The overall goal of this study was to identify and validate such a molecular classifier. Methods and Findings: We conducted an observational, non-interventional study of adult patients recruited from tertiary intensive care units (ICU). Biomarker discovery was conducted with an Australian cohort (n = 105) consisting of sepsis patients and post -surgical patients with infection-negative systemic inflammation. Using this cohort, a four-gene classifier consisting of a combination of CEACAM4, LAMP1, PLA2G7 and PLAC8 RNA biomarkers was identified. This classifier, designated SeptiCyte Lab, was externally validated using RT-qPCR and receiver operating characteristic (ROC) curve analysis in five cohorts (n = 345) from the Netherlands. Cohort 1 (n=59) consisted of unambiguous septic cases and infection-negative systemic inflammation controls; SeptiCyte Lab gave an area under curve (AUC) of 0.96 (95% CI: 0.91-1.00). ROC analysis of a more heterogeneous group of patients (Cohorts 2-5; 249 patients after excluding 37 patients with infection likelihood possible) gave an AUC of 0.89 (95% CI: 0.85-0.93). Disease severity, as measured by Sequential Organ Failure Assessment (SOFA) score or the Acute Physiology and Chronic Health Evaluation (APACHE) IV score, was not a significant confounding variable. The diagnostic utility o f SeptiCyte Lab was evaluated by comparison to various clinical and laboratory parameters that would be available to a clinician within 24 hours of ICU admission. SeptiCyte Lab was significantly better at differentiating sepsis from infection-negative systemic inflammation than all tested parameters, both singly and in various logistic combinations. SeptiCyte Lab more than halved the diagnostic error rate compared to PCT in all tested cohorts or cohort combinations. Conclusions: SeptiCyte Lab is a rapid molecular assay that may be clinically useful in the management of ICU patients with systemic inflammation.
Publication Title
A Molecular Host Response Assay to Discriminate Between Sepsis and Infection-Negative Systemic Inflammation in Critically Ill Patients: Discovery and Validation in Independent Cohorts.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 5 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A systems analysis identifies a feedforward inflammatory circuit leading to lethal influenza infection.
Sample Metadata Fields
Sex, Specimen part
View Samples