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GSE45550
Rattus norvegicus
36 Downloadable Samples
Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Spinal cord injury (SCI) is one of the most disabling health problems facing adults today. Locomotor training has been shown to induce substantial recovery in muscle size and muscle function in both transected and contusion injury animal models of SCI.
Publication Title
Transcriptional Pathways Associated with Skeletal Muscle Changes after Spinal Cord Injury and Treadmill Locomotor Training.
Sample Metadata Fields
Time
View Samples- Homo sapiens
- 69 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We have identified the molecular (transcriptional) signatures associated with muscle remodeling in response to rehabilitation in a patient cohort. Subjects with a closed malleolus fracture treated conservatively with 6 weeks of cast immobilization are recruited. Then subjects are enrolled in a 6 weeks structured rehabilitation program focusing on progressive resistance training of the ankle plantar flexor muscles. Phenotypic measurements are performed before (pre-rehab), during (mid-rehab, 3 weeks) and immediately after (post-rehab, 6 weeks) the rehabilitation intervention. The maximal cross-sectional area (muscle size) and peak torque (muscle strength) are quantified using isometric and isokinetic tests in combination with 3D-magnetic resonance imaging. Ankle plantar flexor muscle size and strength measurements are also performed on the uninvolved limb (serves as a control) at 4 months post-immobilization. Measurements are also acquired from the contralateral leg, which serves as an internal control.
Publication Title
Molecular signatures of differential responses to exercise trainings during rehabilitation.
Sample Metadata Fields
Sex, Time
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To elucidate the mechanism(s) underlying the synergistic interaction between ETV6 and NFKB1, we analyzed the genome-wide transcriptional consequences of single and double knock-downs of the two TFs in U251 cells.
Publication Title
Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Leukemia is a complex malignancy with hundreds of distinct mutations associated with disease development. Studies have shown that oncogenes cooperate to promote leukemia transformation, however, the downstream effectors of this cooperation are largely unknown.
Publication Title
Gene sets identified with oncogene cooperativity analysis regulate in vivo growth and survival of leukemia stem cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 1 Downloadable Sample
Illumina HiSeq 2000
Description
Isoform quantification results for B6 mouse using Bowtie and RSEM. Overall design: ~400 islets were isolated and pooled from two B6 mice. Whole islet RNA was isolated using Rneasy purification columns (Qiagen), quantified (Nanodrop) and integrity verified (Agilent) prior to sequencing. ~94M total paired-end RNA-Seq reads were sequenced.
Publication Title
The Transcription Factor Nfatc2 Regulates β-Cell Proliferation and Genes Associated with Type 2 Diabetes in Mouse and Human Islets.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 656 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Development and clinical validity of a novel blood-based molecular biomarker for subclinical acute rejection following kidney transplant.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 529 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Sub-clinical acute rejection (subAR) in kidney transplant recipients (KTR) leads to chronic rejection and graft loss. Non-invasive biomarkers are needed to detect subAR. 307 KTR were enrolled into a multi-center observational study. Precise clinical phenotypes (CP) were used to define subAR. Differential gene expression (DGE) data from peripheral blood samples paired with surveillance biopsies were used to train a Random Forests (RF) model to develop a gene expression profile (GEP) for subAR. A separate cohort of paired samples was used to validate the GEP. Clinical endpoints and gene pathway mapping were used to assess clinical validity and biologic relevance. DGE data from 530 samples (130 subAR) collected from 250 KTR yielded a RF model: AUC 0.85; 0.84 after internal validation with bootstrap resampling. We selected a predicted probability threshold favoring specificity and NPV (87% and 88%) over sensitivity and PPV (64% and 61%, respectively). We tested the locked model/threshold on a separate cohort of 138 KTR undergoing surveillance biopsies at our institution (rejection 42; no rejection 96): NPV 78%; PPV 51%; AUC 0.66. Both the CP and GEP of subAR within the first 12 months following transplantation were independently associated with worse graft outcomes at 24 months, including de novo donor-specific antibody (DSA). Serial GEP tracked with response to treatment of subAR. DGE data from both cohorts mapped to gene pathways indicative of allograft rejection.
Publication Title
Development and clinical validity of a novel blood-based molecular biomarker for subclinical acute rejection following kidney transplant.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 127 Downloadable Samples
- Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Sub-clinical acute rejection (subAR) in kidney transplant recipients (KTR) leads to chronic rejection and graft loss. Non-invasive biomarkers are needed to detect subAR. 307 KTR were enrolled into a multi-center observational study. Precise clinical phenotypes (CP) were used to define subAR. Differential gene expression (DGE) data from peripheral blood samples paired with surveillance biopsies were used to train a Random Forests (RF) model to develop a gene expression profile (GEP) for subAR. A separate cohort of paired samples was used to validate the GEP. Clinical endpoints and gene pathway mapping were used to assess clinical validity and biologic relevance. DGE data from 530 samples (130 subAR) collected from 250 KTR yielded a RF model: AUC 0.85; 0.84 after internal validation with bootstrap resampling. We selected a predicted probability threshold favoring specificity and NPV (87% and 88%) over sensitivity and PPV (64% and 61%, respectively). We tested the locked model/threshold on a separate cohort of 138 KTR undergoing surveillance biopsies at our institution (rejection 42; no rejection 96): NPV 78%; PPV 51%; AUC 0.66. Both the CP and GEP of subAR within the first 12 months following transplantation were independently associated with worse graft outcomes at 24 months, including de novo donor-specific antibody (DSA). Serial GEP tracked with response to treatment of subAR. DGE data from both cohorts mapped to gene pathways indicative of allograft rejection.
Publication Title
Development and clinical validity of a novel blood-based molecular biomarker for subclinical acute rejection following kidney transplant.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
While the hypothalamo-pituitary-adrenal axis (HPA) activates a general stress response by increasing glucocorticoid (Gc) synthesis, biological stress resulting from infections triggers the inflammatory response through production of cytokines. The pituitary gland integrates some of these signals by responding to the pro-inflammatory cytokines IL6 and LIF and to a negative Gc feedback loop. The present work used whole-genome approaches to define the LIF/STAT3 regulatory network and to delineate cross-talk between this pathway and Gc action. Genome-wide ChIP-chip identified 3 449 STAT3 binding sites, whereas 2 396 genes regulated by LIF and/or Gc were found by expression profiling. Surprisingly, LIF on its own changed expression of only 85 genes but the joint action of LIF and Gc potentiated the expression of more than a thousand genes. Accordingly, activation of both LIF and Gc pathways also potentiated STAT3 and GR recruitment to many STAT3 targets. Our analyses revealed an unexpected gene cluster that requires both stimuli for delayed activation: 83% of the genes in this cluster are involved in different cell defense mechanisms. Thus, stressors that trigger both general stress and inflammatory responses lead to activation of a stereotypic innate cellular defense response.
Publication Title
Regulatory network analyses reveal genome-wide potentiation of LIF signaling by glucocorticoids and define an innate cell defense response.
Sample Metadata Fields
Specimen part, Time
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We used microarrays to detail the global programme of gene expression in embryonic stem cells, early differentiated embrioid bodies and effect of short-term ATRA treatment.
Publication Title
Activation of retinoic acid receptor signaling coordinates lineage commitment of spontaneously differentiating mouse embryonic stem cells in embryoid bodies.
Sample Metadata Fields
Cell line
View Samples