Biology subjects

Gan, S.

Publications and source records attributed to Gan, S..

21 records · Page 2Linked to original sources

bioRxiv2020

A Heat-labile Enterotoxin B Subunit Mutant (LTB26) of Escherichia coli Enhances Mucosal Immune adjuvanticity via Increased BCR Activity

Although several SARS-COV-2 vaccines have been approved, no one oral live vaccine is available. Here, an oral SARS-COV-2 RBD live vaccine containing LTB26 adjuvant has been developed. BALB/c mice are oral vaccinated with attenuated Salmonella typhimurium SL7207 containing pcDNA3.1-LTB26RBD or pcDNA3.1-RBD plasmids. The result shows that the high level of RBD specific antibody is produced in pcDNA3.1- LTB26RBD treatment. The mechanism indicates that LTB26 enhances RBD antibody production by significantly upregulating the activity of MHC II+ DCs and CD19+CD45+ B cells. LTB26 mutant is derived from heat-labile enterotoxin B subunit (LTB) wild type of Escherichia coli with enhanced immune adjuvanticity. Based on the pre-experiment result that SL7207 interferes the function of LTB26, the purified LTB26 was mixed with purified human rotavirus VP8 antigen to explore the mechanism of adjuvant. The results suggests that LTB26 enhances mucosal immune responses via increased of BCR and MHC II+ expression. Furthermore, LTB26 promotes both Th1 and Th2 cell mediated immunity. Therefore, LTB26 maybe a potent adjuvant for mucosal vaccine development in view of the safety of LTB26 than LT toxin.

immunology↗

bioRxiv2019

The Quantification of Antibody Elements and Receptors subunit expression using qPCR: The Design of VH, VL, CH, CL, FcR subunits primers for a more holistic view of the immune system.

The expression levels of Immunoglobulin elements and their receptors are important markers for health and disease. Within the immunoglobulin locus, the constant regions and the variable region families are associated with certain pathologies, yet a holistic view of the interaction between the expression of the multiple genes remain to be fully characterized. There is thus an important need to quantify antibody elements, their receptors and the receptor subunits in blood (PBMC cDNA) for both screening and detailed studies of such associations. Leveraging on qPCR, we designed primers for all V{kappa} 1-6, VH1-7, V{lambda}1-11, nine CH isotypes, C{kappa}, C{kappa}, C{lambda}1 &3, Fc{varepsilon}RI ,{beta}, and {gamma} subunits, all three Fc{gamma}R and their subunits, and FcR. Validating this on a volunteer PBMC cDNA, we show a qPCR primer set repertoire that can quantify the relative expression of all the above genes to GAPDH housekeeping gene, with implications and uses in both clinical monitoring and research.

immunology↗

bioRxiv2019

PheGWAS: A new dimension to visualize GWAS across multiple phenotypes

MotivationPheGWAS was developed to enhance exploration of phenome-wide pleiotropy at the genome-wide level through the efficient generation of a dynamic visualization combining Manhattan plots from GWAS with PheWAS to create a three-dimensional "landscape". Pleiotropy in sub-surface GWAS significance strata can be explored in a sectional view plotted within user defined levels. Further complexity reduction is achieved by confining to a single chromosomal section. Comprehensive genomic and phenomic coordinates can be displayed. ResultsPheGWAS is demonstrated using summary data from Global Lipids Genetics Consortium (GLGC) GWAS across multiple lipid traits. For single and multiple traits PheGWAS highlighted all eight-eight and sixty-nine loci respectively. Further, the genes and SNPs reported in GLGC were identified using additional functions implemented within PheGWAS. Not only is PheGWAS capable of identifying independent signals but also provide insights to local genetic correlation (verified using HESS) and in identifying the potential regions that share causal variants across phenotypes (verified using colocalization tests). Availability and ImplementationThe PheGWAS software and code are freely available at (https://github.com/georgeg0/PheGWAS). Contacta.doney@dundee.ac.uk, g.z.george@dundee.ac.uk

bioinformatics↗