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GSE64457
Homo sapiens
22 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Severe septic syndromes deeply impair innate and adaptive immunity. While neutrophils represent the first line of defense against infection, little is known about their phenotype and functions during sepsis-induced immunosuppression. The objective of this study was thus to perform for the first time a global evaluation of neutrophil alterations in immunosuppressed septic patients based on phenotypic, functional and transcriptomic studies. In addition, the potential association of these parameters and deleterious outcomes was assessed.
Publication Title
Marked alterations of neutrophil functions during sepsis-induced immunosuppression.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 77 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We observed robust overexpression of type I interferon (IFN)inducible genes and genomic signatures that indicate T cell and dendritic cell infiltration in lesional skin. Up-regulation of mRNAs for IFN-a subtypes was observed in lesional skin compared with nonlesional skin. Enrichment of mature dendritic cells and 2 type I IFNinducible proteins, STAT1 and ISG15, were observed in the majority of lesional skin biopsies. Concordant overexpression of IFN-c and TNF-ainducible gene signatures occurred at the same disease sites.
Publication Title
Type I interferon: potential therapeutic target for psoriasis?
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 31 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Immune cell infiltration in myositis were by examining microarray expression profiles in muscle biopsies from 31 myositis patients and 5 normal controls.
Publication Title
Genomic signatures characterize leukocyte infiltration in myositis muscles.
Sample Metadata Fields
Sex, Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 116 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The plasma cell signature in autoimmune disease.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Homo sapiens
- 105 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Objective: Production of pathogenic autoantibodies by self-reactive plasma cells (PC) is a hallmark of autoimmune diseases. Investigating the prevalence of PC in autoimmune disease and their relationship with known pathogenic pathways may increase our understanding of the role of PC in disease progression and treatment response. Methods: We developed a sensitive gene expression based method to overcome the challenges of measuring PC using flow cytometry. Whole genome microarray analysis of sorted cellular fractions identified a panel of genes, IGHA, IGJ, IGKC, IGKV, and TNFRSF17, expressed predominantly in PC. The sensitivity of the PC signature score created from the combined expression levels of these genes was assessed through ex vivo experiments with sorted cells. This PC gene expression signature was used for monitoring changes in PC levels following anti-CD19 therapy; evaluating the relationship between PC and other autoimmune disease-related genes; and estimating PC levels in affected blood and tissue from multiple autoimmune diseases. Results: The PC signature was highly sensitive and capable of detecting as few as 300 PCs. The PC signature was reduced over 90% in scleroderma patients following anti-CD19 treatment and this reduction was highly correlated (r = 0.77) with inhibition of collagen gene expression. Evaluation of multiple autoimmune diseases revealed 30-35% of lupus, rheumatoid arthritis, and scleroderma patients with increased PC levels. Conclusion: This newly developed PC signature provides a robust and accurate method to measure PC levels in the clinic. Our results highlight subsets of patients across multiple autoimmune diseases that may benefit from PC depleting therapy.
Publication Title
The plasma cell signature in autoimmune disease.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Objective: Production of pathogenic autoantibodies by self-reactive plasma cells (PC) is a hallmark of autoimmune diseases. Investigating the prevalence of PC in autoimmune disease and their relationship with known pathogenic pathways may increase our understanding of the role of PC in disease progression and treatment response. Methods: We developed a sensitive gene expression based method to overcome the challenges of measuring PC using flow cytometry. Whole genome microarray analysis of sorted cellular fractions identified a panel of genes, IGHA, IGJ, IGKC, IGKV, and TNFRSF17, expressed predominantly in PC. The sensitivity of the PC signature score created from the combined expression levels of these genes was assessed through ex vivo experiments with sorted cells. This PC gene expression signature was used for monitoring changes in PC levels following anti-CD19 therapy; evaluating the relationship between PC and other autoimmune disease-related genes; and estimating PC levels in affected blood and tissue from multiple autoimmune diseases. Results: The PC signature was highly sensitive and capable of detecting as few as 300 PCs. The PC signature was reduced over 90% in scleroderma patients following anti-CD19 treatment and this reduction was highly correlated (r = 0.77) with inhibition of collagen gene expression. Evaluation of multiple autoimmune diseases revealed 30-35% of lupus, rheumatoid arthritis, and scleroderma patients with increased PC levels. Conclusion: This newly developed PC signature provides a robust and accurate method to measure PC levels in the clinic. Our results highlight subsets of patients across multiple autoimmune diseases that may benefit from PC depleting therapy.
Publication Title
The plasma cell signature in autoimmune disease.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 86 Downloadable Samples
IlluminaHiSeq2000
Description
Even though small cell lung cancer (SCLC) has entered the age of broad genomic analysis, platinum-based chemotherapy remains the standard care for SCLC. Topotecan is the only approved agent for recurrent or progressive SCLC (1). In the absence of well-defined genomic biomarkers, clinical efficacy signals in genomically distinct subsets of SCLC could have been missed. Serine/Arginine Splicing Factor 1 (SRSF1) is a member of SR protein family. The deleterious consequences of overexpression of the SRSF1 proto-oncogene in human cancers suggest that there are complex mechanisms and pathways underlying SRSF1-mediated transformation (2). Whole exome and transcriptome sequencing of primary tumor SCLC from 99 Chinese patients has identified SRSF1 DNA amplification and mRNA over-expression which predicts poor survival in Chinese SCLC patients. In vitro and in vivo studies have demonstrated that SRSF1 is essential for tumorigenecity of SCLC and plays a key role in DNA repair and chemo-sensitivity. Overall design: We did RNAseq on 79 small cell lung cancer patients'' tumor sample and 7 normal lung tissue. We normalized the RNAseq data and did differential expression analysis. The deleterious consequences of overexpression of the SRSF1 proto-oncogene in human cancers suggest that there are complex mechanisms and pathways underlying SRSF1-mediated transformation.
Publication Title
Genomic Landscape Survey Identifies SRSF1 as a Key Oncodriver in Small Cell Lung Cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 12 Downloadable Samples
- IlluminaHiSeq2500
Description
Stabilin-1/CLEVER-1 is a multidomain protein present in lymphatic and vascular endothelial cells and in M2 immunosuppressive macrophages. Stabilin-1 functions in scavenging, endocytosis and leukocyte adhesion to and transmigration through the endothelial cells. We have analyzed the putative functions of Stabilin-1 in blood monocytes and found that in healthy individuals 60-80% of both CD14+CD16- and CD14+C16+ monocytes, but not CD14dimCD16+ monocytes, expressed Stabilin-1 on the surface. Microarray and RNAseq analysis was performed to get more insight into the effect of Stabilin-1 expression on human monocytes transcriptome. Overall design: The transcriptome of human monocytes transfected with Stabilin-1 siRNA was compared to that of control siRNA transfected monocytes
Publication Title
Monocyte Stabilin-1 Suppresses the Activation of Th1 Lymphocytes.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Illumina mouse-6 v1.1 expression beadchip
Description
Vascular adhesion protein-1 (VAP-1) is an endothelial cell-surface protein. It is also an enzyme posessing semicarbazide-sensitive amine oxidase activity (EC.1.4.3.6). VAP-1 is involved in leukocyte traffic. To study the role of VAP-1 in tumor immunity, we compared gene expression profiles in melanomas growing in VAP-1 -/- mice and their wid-type littermates.
Publication Title
Vascular adhesion protein-1 enhances tumor growth by supporting recruitment of Gr-1+CD11b+ myeloid cells into tumors.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 15 Downloadable Samples
- Illumina HiSeq 2000
Description
Stabilin-1/CLEVER-1 is a multidomain protein present in lymphatic and vascular endothelial cells and in M2 immunosuppressive macrophages. Stabilin-1 functions in scavenging, endocytosis and leukocyte adhesion to and transmigration through the endothelial cells. Overall design: The transcriptome of liver tissue in 2wk old and E17.5 Stab1 knock-out mice was compared to that of corresponding wild type mice
Publication Title
Enhanced Antibody Production in Clever-1/Stabilin-1-Deficient Mice.
Sample Metadata Fields
Age, Specimen part, Subject
View Samples