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Displaying 7 of 7 results for "FCRL3"
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  1. Genetic Risk Variants for Autoimmune Diseases that Influence Gene Expression in Thymus ArrayExpress

    ID: E-GEOD-77052

    Description: vel of significance (P < 2.57x10-5). Five genes (FCRL3, RNASET2, C2orf74, SIRPG and SYS1) displayed cis eQTL signals also in other tissues, while for two loci (NPIPB8 and LOC388814), the eQTL signal appear to be thymus-specific. Since many AID risk variants from GWAS have been subsequently fine-mapped in recent Immunochip projects, we explored the overlap between these novel AID risk variants and the thymic eQTL regions. Moreover, we examined the functional annotation of the seven expression altering SNPs (eSNPs). Our study reveals autoimmune risk variants that act as eQTLs in thymus. We have highlighted functional variants within these genetic regions that potentially can represent causal autoimmune risk variants. Total RNA from 42 human thymic samples were obtained from children undergoing cardiac surgery....

  2. Gene expression analysis of T cell subsets from MS patients undergoing autologous hematopoietic stem cell transplantation reveals significant changes ... ArrayExpress

    ID: E-GEOD-32988

    Description: luated the relative level of expression of STAT3, FcRL3, PDCD1, DGKH, CSNK1L1, L Selectin, CCR7 and PIAS3 that were all modulated after transplantation. We found significantly transcriptional changes in both T cells subsets during the first 2 years post-transplantation, but the analysis of CD8+ T cells revealed more extensive changes of genes involved in effector immune responses. In order to study the transcriptional changes in T cell subsets from MS patients submitted HID/HSCT, immunomagnetically purified CD4+ and CD8+ T-cells from the peripheral blood of 8 patients before transplantation and 4 patients 6 months, 1 year and 2 years after tranplantation, as well as from 4 healthy controls were isolated and processed the microarray assay according Agilent's protocol. The differential expressed genes, molecular characterization and networks analysis were evaluated using robust bioinformatic tools, then the real time PCR was done to validate the 27 immune related-genes....

  3. Gene expression analysis of T cell subsets from MS patients undergoing autologous hematopoietic stem cell transplantation reveals significant changes ... BioProject

    ID: PRJNA146447

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: luated the relative level of expression of STAT3, FcRL3, PDCD1, DGKH, CSNK1L1, L Selectin, CCR7 and PIAS3 that were all modulated after transplantation. We found significantly transcriptional changes in both T cells subsets during the first 2 years post-transplantation, but the analysis of CD8+ T cells revealed more extensive changes of genes involved in effector immune responses. Overall design: In order to study the transcriptional changes in T cell subsets from MS patients submitted HID/HSCT, immunomagnetically purified CD4+ and CD8+ T-cells from the peripheral blood of 8 patients before transplantation and 4 patients 6 months, 1 year and 2 years after tranplantation, as well as from 4 healthy controls were isolated and processed the microarray assay according Agilent's protocol. The differential expressed genes, molecular characterization and networks analysis were evaluated using robust bioinformatic tools, then the real time PCR was done to validate the 27 immune related-genes....
  4. Regulation of normal B cell differentiation and malignant B cell survival by OCT2 (ChIP-Seq) BioProject

    ID: PRJNA315967

    Keywords: Epigenomics

    Access Type: download

    dataset.description: ivation of novel target genes including HIF1a and FCRL3. Finally, by introducing mutations designed to disrupt the OCT2-OCA-B interface we reveal a requirement for this protein-protein interface that might ultimately be exploited therapeutically. Our findings, combined with the predominantly B cell restricted expression of OCT2 and the absence of systemic phenotype in our knockout mice, suggest that an OCT2-targeted therapeutic strategy would be efficacious in both major subtypes of DLBCL whilst avoiding systemic toxicity. Overall design: To identify gene targets of OCT2 and OCA-B, we performed genome-wide chromatin immunoprecipitation analysis (ChIP-Seq) in the HBL1 ABC DLBCL line (n=6). To test whether the T223A mutant isoform alters OCT2 DNA binding, we designed "Biotag" constructs that express either wild type or T223A OCT2 fused to a peptide sequence that can be biotinylated by the bacterial enzyme BirA. We engineered the DLBCL cell line BJAB to express BirA, transduced the cells with the OCT2 Biotag constructs, and performed ChIP-seq (n=3) using streptavidin to purify chromatin bound to these OCT2 isoforms....
  5. Regulation of normal B cell differentiation and malignant B cell survival by OCT2 (expression) BioProject

    ID: PRJNA315886

    Keywords: Transcriptome or Gene expression

    Access Type: download

    dataset.description: ivation of novel target genes including HIF1a and FCRL3. Finally, by introducing mutations designed to disrupt the OCT2-OCA-B interface we reveal a requirement for this protein-protein interface that might ultimately be exploited therapeutically. Our findings, combined with the predominantly B cell restricted expression of OCT2 and the absence of systemic phenotype in our knockout mice, suggest that an OCT2-targeted therapeutic strategy would be efficacious in both major subtypes of DLBCL whilst avoiding systemic toxicity. Overall design: Knockdown of OCT2_1196 was tested in ABC DLBCL cell lines (HBL1 n=2, OCI-Ly10 n=3, TMD8 n=2) and GCB DLBCL cell lines (BJAB n=2, HT n=2). Knockdown of OCT2_3410 was tested in ABC DLBCL cell lines (HBL1 n=2, OCI-Ly10 n=4, TMD8 n=2) and GCB DLBCL cell lines (BJAB n=2, HT n=2). Knockdown of OCA-B was tested in ABC DLBCL cell lines (HBL1 n=2, OCI-Ly10 n=2) and GCB DLBCL cell lines (BJAB n=2, HT n=2). Knockdown of OCT2_1196 was tested with and without WT rescue construct in ABC DLBCL cell line (HBL1 n=4). Knockdown of OCT2_3410 was tested with and without WT rescue construct in ABC DLBCL cell line (HBL1 n=4). Knockdown of OCT2_1196 was tested with OCT2 T223A vs. WT rescue construct in ABC DLBCL cell line (HBL1 n=2, SUDHL4 n=4) and GCB DLBCL cell line (BJAB n=4). Mouse kn...
  6. Genetic Risk Variants for Autoimmune Diseases that Influence Gene Expression in Thymus OmicsDI

    ID: E-GEOD-77052

    Date Released: 01-22-2016

    Description: vel of significance (P < 2.57x10-5). Five genes (FCRL3, RNASET2, C2orf74, SIRPG and SYS1) displayed cis eQTL signals also in other tissues, while for two loci (NPIPB8 and LOC388814), the eQTL signal appear to be thymus-specific. Since many AID risk variants from GWAS have been subsequently fine-mapped in recent Immunochip projects, we explored the overlap between these novel AID risk variants and the thymic eQTL regions. Moreover, we examined the functional annotation of the seven expression altering SNPs (eSNPs). Our study reveals autoimmune risk variants that act as eQTLs in thymus. We have highlighted functional variants within these genetic regions that potentially can represent causal autoimmune risk variants. Total RNA from 42 human thymic samples were obtained from children undergoing cardiac surgery....

  7. Gene expression analysis of T cell subsets from MS patients undergoing autologous hematopoietic stem cell transplantation reveals significant changes ... OmicsDI

    ID: E-GEOD-32988

    Date Released: 11-17-2011

    Description: luated the relative level of expression of STAT3, FcRL3, PDCD1, DGKH, CSNK1L1, L Selectin, CCR7 and PIAS3 that were all modulated after transplantation. We found significantly transcriptional changes in both T cells subsets during the first 2 years post-transplantation, but the analysis of CD8+ T cells revealed more extensive changes of genes involved in effector immune responses. In order to study the transcriptional changes in T cell subsets from MS patients submitted HID/HSCT, immunomagnetically purified CD4+ and CD8+ T-cells from the peripheral blood of 8 patients before transplantation and 4 patients 6 months, 1 year and 2 years after tranplantation, as well as from 4 healthy controls were isolated and processed the microarray assay according Agilent's protocol. The differential expressed genes, molecular characterization and networks analysis were evaluated using robust bioinformatic tools, then the real time PCR was done to validate the 27 immune related-genes....


Displaying 7 of 7 results for "FCRL3"