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accession-icon GSE42765
MLLT10 gene recombinations in pediatric T-Acute Lymphoblastic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MLLT10, a 24 exons gene at 10p12, is known in leukemogenesis as partner of MLL or PICALM and recently NAP1L1. We identified HNRNPH1 and DDX3X, genes involved in RNA processing, as new MLLT10 partners in 2 cases of pediatric NOTCH1 positive T-ALL. HNRNPH1/5q35 encodes for a member of the ubiquitously expressed heterogeneous nuclear ribonucleoprotein (hnRNP) subfamily of RNA binding protein. DDX3X/Xp11.3, belongs to the big family of RNA helicases with a DEAD box domain.

Publication Title

New MLLT10 gene recombinations in pediatric T-acute lymphoblastic leukemia.

Sample Metadata Fields

Disease

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accession-icon GSE57338
RNA-Seq Identifies Novel Myocardial Gene Expression Signatures of Heart Failure [microarray]
  • organism-icon Homo sapiens
  • sample-icon 313 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We have utilized the RNA-Seq technology to identify genes with distinct expression patterns between failing and non-failing hearts. In an era of next-generation sequencing studies, our study demonstrates how knowledge gained from a small set of samples with accurately measured gene expressions using RNA-Seq can be leveraged as a complementary strategy to discern the genetics of complex disorders.

Publication Title

RNA-Seq identifies novel myocardial gene expression signatures of heart failure.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE42641
A Top-down Systems Analysis Identifies an Innate Feed-forward Inflammatory Circuit Leading to Lethal Influenza Infection
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE42639
Transcriptomic comparison of 5 cell types during lethal and non-lethal influenza infection
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Transcriptomic comparison of 5 cell types during lethal and non-lethal influenza infection and further use of these signatures in a top-down systems analysis investigating the relative pathogenic contributions of direct viral damage to lung epithelium vs. dysregulated immunity during lethal influenza infection.

Publication Title

A systems analysis identifies a feedforward inflammatory circuit leading to lethal influenza infection.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE28750
Development and Validation of a Novel Molecular Biomarker Diagnostic Test for the Early Detection of Sepsis
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE70216
Differential gene expression to VEGF in aorta from wild-type and C17S PKARI knock-in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Angiogenesis is essential for tissue development, wound healing and tissue perfusion, with its dysregulation linked-to tumorigenesis, rheumatoid arthritis and heart disease. Here we show pro-angiogenic stimuli couple to NADPH oxidase-dependent generation of oxidants that catalyse an activating intermolecular-disulphide between regulatory-RI subunits of protein kinase A (PKA), which stimulates PKA-dependent ERK signalling. This is crucial to blood vessel growth as 'redox-dead' Cys17Ser RI knock-in mice fully resistant to PKA disulphide-activation have deficient angiogenesis in models of hind limb ischaemia and tumour-implant growth. Disulphide-activation of PKA represents a new therapeutic target in diseases with aberrant angiogenesis.

Publication Title

Deficient angiogenesis in redox-dead Cys17Ser PKARIα knock-in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE55170
Infection of Myeloid Angiogenic Cells (MACs) with Bartonella henselae (B.h.) induces a chord formation phenotype in vitro.
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Myeloid Angiogenic Cells (MACs) were infected with the intracellular, bacterial pathogen Bartonella henselae (B.h.). Infected cells were seeded onto Matrigel coated plates. While uninfected cells showed no phenotypic changes and died over time, infected cells showed strong phenotypic changes and developed into complex 2D chord networks over the course of long term culture (eg 49d). To examine the changes in gene expression associated with the development of the B.h.dependent chord formation phenotype, RNA was isolated from MACs shortly after isolation (d4) and from cells of the chord structures (+B.h. Matrigel). As primary endothelial cells are also know to form chord networks when cultured on Matrigel, a sample of human umbilical vein endothelial cells (HUVECs) cultured on Matrigel for 12hr was also included in the analysis as a control.

Publication Title

Reprogramming of myeloid angiogenic cells by Bartonella henselae leads to microenvironmental regulation of pathological angiogenesis.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP170747
Deciphering the 'm6A code' via quantitative profiling of m6A at single-nucleotide resolution [II]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

N6-methyladenosine (m6A) is the most abundant modification on mRNA, and is implicated in critical roles in development, physiology and disease. A major challenge in the field has been the inability to quantify m6A stoichiometry and the lack of antibody-independent methodologies for interrogating m6A. Here, we develop MASTER-seq for systematic quantitative profiling of m6A at single nucleotide resolution, building on differential cleavage by an RNAse at methylated sites. MASTER-seq permitted validation and de novo discovery of m6A sites, calibration of the performance of antibody based approaches, and quantitative tracking of m6A dynamics in yeast gametogenesis and mammalian differentiation. We discover that m6A stoichiometry is 'hard-coded' in cis via a simple and predictable code. This code accounts for ~50% of the variability in methylation levels and allows accurate prediction of m6A loss/acquisition events across evolution. MASTER-seq will allow quantitative investigation of m6A regulation in diverse cell types and disease states. Overall design: 10 samples were analyzed: EBS WT and Metll3 -/- with two replicates each and ESC WT and Mettld -/- with three replicates

Publication Title

Deciphering the "m<sup>6</sup>A Code" via Antibody-Independent Quantitative Profiling.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP170748
De novo detection of m6A modification in Saccharomyces cerevisiae at single nucleotide resolution
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

N6-methyladenosine (m6A) is the most abundant modification on mRNA, and is implicated in critical roles in development, physiology and disease. A major challenge in the field has been the inability to quantify m6A stoichiometry and the lack of antibody-independent methodologies for interrogating m6A. Here, we develop MASTER-seq for systematic quantitative profiling of m6A at single nucleotide resolution, building on differential cleavage by an RNAse at methylated sites. MASTER-seq permitted validation and de novo discovery of m6A sites, calibration of the performance of antibody based approaches, and quantitative tracking of m6A dynamics in yeast gametogenesis and mammalian differentiation. We discover that m6A stoichiometry is 'hard-coded' in cis via a simple and predictable code. This code accounts for ~50% of the variability in methylation levels and allows accurate prediction of m6A loss/acquisition events across evolution. MASTER-seq will allow quantitative investigation of m6A regulation in diverse cell types and disease states. Overall design: 8 samples are analyzed: IP and background for IME4 mutant and WT with 2 biological replicates for each condition

Publication Title

Deciphering the "m<sup>6</sup>A Code" via Antibody-Independent Quantitative Profiling.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP071739
Changes in RNA expression in human oral cavity carcinoma cells as a result of LDB1 reduction
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

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

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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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Developed by the Childhood Cancer Data Lab

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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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