Project description:Activation of NFkB pathway by CARD11 Cy3-labelled untreated sample and Cy5-labelled treated sample were hybridized to a Lymphochip microarray.
Project description:In order to investigate the molecular mechanism of CARD11 in immune cell system, we applied the RNA-seq analysis using RNA isolated from WT and CARD11 mutant (E134G and K215M) mouse spleen B cells. By comparing the transcriptome files, we found some different expressed gene involved in due to the CARD11 point mutation and in vitro RT-PCR had confirmed this result.
Project description:We describe the use of saturation genome editing to measure the effects of CARD11 variants on protein function, splicing and lymphoma cell survival. We find the results to predict the clinical effects of the variants.
Project description:E.coli K-12 W3110 was grown in LB medium and harvested at each time point. And time series microarray experiments were performed based on reference desgin. In reference design, the control sample is collected at one representative time point. Combining with data from sequential design, more acculate and reliable expression series could be collected. Keywords: Reference design
Project description:The immune system plays a critical role in inflammation by initiating responses to infection or tissue damage. NF-κB pathway plays a key role in inflammation and innate immunity, as well as other cellular activities. Furthermore, dysregulation of this well-choreographed pathway has been observed in many diseases, including cancer. CARD11 is a key molecule in the BCL-10, MALT1 (CBM) complex which is involved in transducing the signal downstream of the NF-κB pathway. This study aims to understand how overexpression of CARD11 adversely affects the prognosis in colorectal cancer (CRC) as it progresses towards aggressive form of the disease and the role that CARD11 plays in modulating the immune response across the different stages of CRC. To identify some of the cellular pathways activated as a result of CARD11, whole tran-scriptomics analysis was carried comparing the transcriptomic profile of CARD11-overexpressed HCT-116 and HT-29 CRC cell lines with empty vector-transfected cell lines as well as comparing adenoma and carcinoma CRC patients with CARD11- and CARD11+ expression. The whole tran-scriptomics and bioinformatics analysis results strongly suggested that CARD11 appears to play a key role in CRC progression. Absolute Gene Set Enrichment Analysis (absGSEA) on HCT-116 transcriptomics data showed that CARD11 overexpression promotes cell growth, and tissue re-modeling as well as enhancing the cell’s immune response. Some of the underlying genes in-volved in such processes through co-expression with CARD11 include EP300, KDM5A, HIF1A, NFKBIZ, and DUSP1. Results for HT-29 showed that CARD11 overexpression induces chemotaxis and ECM organization pathways through co-expression of IL1RN, MDK, and SPP1 as well as var-ious chemokines including CXCL1, CXCL3 and CCL22 which were shown to contribute to the more invasive stage of CRC. For patients, the adenoma patients include genes related to tumour immune microenvironment such as IL6ST, genes related to collagen family as well as other genes related to transition to CRC such as GLI3 and PIEZO2. While carcinoma patients show dramatic increase in the expression of MAPK8IP2 in CARD11+ carcinoma patients in addition to other genes related to cancer processes including EMB, EPHB6, and CPEB4. Taken together, the results show that CARD11 overexpression contributes to the progression of CRC through modu-lation of various tumour immune microenvironment pathways and activation of cancer path-ways possibly via the dysregulation of NF-κB. To our knowledge, this is probably the first study that investigates the role of CARD11 in CRC and the genes and pathways associated with CARD11 overexpression may provide insights into the early diagnostic and possible therapeutic targets for CRC.
Project description:E.coli K-12 W3110 was grown in LB medium and harvested at each time point. And time-series microarray experiments were performed based on Sequential Design. In Sequential Design, the control sample is set to closest previous time point so that adjacent time points are compared directly. Combining with data from reference design, more accurate and reliable expression series could be collected. Keywords: timecourse