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accession-icon GSE19592
DUSP1/MKP1 promotes angiogenesis, invasion and metastasis in non-small cell lung cancer
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

DUSP1 is involved in different cellular pathways including cancer cell proliferation, angiogenesis, invasion and resistance to chemotherapy. To understand more about the cellular responses regulated by DUSP1 in NSCLC cells, we interfered DUSP1 expression in the NSCLC cell line H460 and studied the changes in gene expression differentially regulated by this phosphatase.

Publication Title

DUSP1/MKP1 promotes angiogenesis, invasion and metastasis in non-small-cell lung cancer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP070499
Odd skipped-related 1 (Osr1) identifies a population of embryonic fibro-adipogenic progenitors regulating myogenesis during limb development
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We sequenced total RNAs that were extracted from Osr1-expressing cells isolated by FACS-sorting from E13.5 limbs of two heterozygous (Osr1 GCE/+) and two homozygous (Osr1 GCE/GCE) mouse embryos. Overall design: Gene expression profiling of Osr1-expressing cells at E13.5

Publication Title

Odd skipped-related 1 identifies a population of embryonic fibro-adipogenic progenitors regulating myogenesis during limb development.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE67627
Gene expression of normal and ASCC1-mutant skin fibroblasts after serum starvation and serum challenge
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

In order to investigate the genes that might be regulated by the activating signal cointegrator 1 (ASC-1) complex we performed an expression analysis using the GeneChip Human Gene 2.0 ST Array (Affymetrix)

Publication Title

Mutations in Subunits of the Activating Signal Cointegrator 1 Complex Are Associated with Prenatal Spinal Muscular Atrophy and Congenital Bone Fractures.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE107509
Gene expression profiling of subclinical acute kidney rejection
  • organism-icon Homo sapiens
  • sample-icon 656 Downloadable Samples
  • Technology Badge Icon 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
accession-icon GSE107503
Gene expression profiling of subclinical acute kidney rejection I
  • organism-icon Homo sapiens
  • sample-icon 529 Downloadable Samples
  • Technology Badge Icon 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
accession-icon GSE107506
Gene expression profiling of subclinical acute kidney rejection II
  • organism-icon Homo sapiens
  • sample-icon 127 Downloadable Samples
  • Technology Badge Icon 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
accession-icon GSE63998
Microarray analysis of Mef2c deficient and control bone marrow pre-B and pro-B cells
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MEF2C protects bone marrow B-lymphoid progenitors during stress haematopoiesis.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP159017
Interactions between Roseburia intestinalis and diet modulate atherogenesis in a murine model
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: Humans with metabolic and inflammatory diseases frequently harbor lower levels of butyrate-producing bacteria in their gut. However, it is not known whether variation in the levels of these organisms is causally linked with disease development and whether diet modifies the impact of these bacteria on health. Results: We use germ-free apolipoprotein E-deficient mice colonized with synthetic microbial communities that differ in their capacity to generate butyrate to demonstrate that Roseburia intestinalis interacts with dietary components to (i) impact gene expression in the intestine, directing metabolism away from glycolysis and toward fatty acid utilization, (ii) improve intestinal barrier function, (iii) lower systemic inflammation and (iv) ameliorate atherosclerosis. Furthermore, intestinal administration of butyrate improves gut barrier function and reduces atherosclerosis development. Conclusions: Altogether, our results illustrate how modifiable diet-by-microbiota interactions impact cardiovascular disease, and suggest that interventions aimed at increasing the representation of butyrate-producing bacteria may provide protection against atherosclerosis. Overall design: Intestinal mRNA profiles of gnotobiotic ApoE KO mice colonized with "core" community or "core plus Roseburia intestinalis" were generated by deep sequencing using Illumina HiSeq.

Publication Title

Interactions between Roseburia intestinalis and diet modulate atherogenesis in a murine model.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE63996
Microarray analysis of Mef2c deficient and control bone marrow pre-B cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression of mice bone marrow pre-B cells from both control and Vav-Cre Mef2cfl/fl mice (9 months old)

Publication Title

MEF2C protects bone marrow B-lymphoid progenitors during stress haematopoiesis.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE63997
Microarray analysis of Mef2c deficient and control bone marrow pro-B cells
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression of mice bone marrow pro-B cells from both control and Vav-Cre Mef2cfl/fl mice (9 months old)

Publication Title

MEF2C protects bone marrow B-lymphoid progenitors during stress haematopoiesis.

Sample Metadata Fields

Age, Specimen part

View Samples

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)

fund-icon Fund the CCDL

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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