Objective:Screening of hypertrophic cardiomyopathy-related signature genes and analysis of immune cell infiltra-tion characteristics by bioinformatics methods.Methods:The dataset was downloaded from the GEO database,and multiple algo-rithms in R language were used to analyze differentially expressed genes,construct weighted gene co-expression networks to obtain clinical relevance module,screen core genes,identify signature genes,identify signature gene prognosis efficacy and perform func-tional enrichment to explore immune cell infiltration.Results:A total of 117 differential genes and a core module containing 32 genes were screened,and 19 core genes were obtained.Among them,ABCA5,DNAJC16,LGALS14,MGAT4A,SLC30A8 were identified as signature genes.Statistically significant changes in the levels of macrophages,eosinophils,and plasmacytoid dendritic cells in the plasma of patients with hypertrophic cardiomyopathy compared with healthy controls were observed(P<0.05).Conclusion:The char-acteristic genes ABCA5,DNAJC16,LGALS14,MGAT4A and SLC30A8 may serve as prognosis markers for hypertrophic cardiomyop-athy,immune cells such as macrophages and eosinophils may be involved in the occurrence and development of hypertrophic cardio-myopathy.

Objective:Screening of hypertrophic cardiomyopathy-related signature genes and analysis of immune cell infiltra-tion characteristics by bioinformatics methods.Methods:The dataset was downloaded from the GEO database,and multiple algo-rithms in R language were used to analyze differentially expressed genes,construct weighted gene co-expression networks to obtain clinical relevance module,screen core genes,identify signature genes,identify signature gene prognosis efficacy and perform func-tional enrichment to explore immune cell infiltration.Results:A total of 117 differential genes and a core module containing 32 genes were screened,and 19 core genes were obtained.Among them,ABCA5,DNAJC16,LGALS14,MGAT4A,SLC30A8 were identified as signature genes.Statistically significant changes in the levels of macrophages,eosinophils,and plasmacytoid dendritic cells in the plasma of patients with hypertrophic cardiomyopathy compared with healthy controls were observed(P<0.05).Conclusion:The char-acteristic genes ABCA5,DNAJC16,LGALS14,MGAT4A and SLC30A8 may serve as prognosis markers for hypertrophic cardiomyop-athy,immune cells such as macrophages and eosinophils may be involved in the occurrence and development of hypertrophic cardio-myopathy.

Development of controllable hypermutable cells can greatly benefit understanding and harnessing microbial evolution. However, there have not been any similar systems developed for Clostridium, an important bacterial genus. Here we report a novel two-step strategy for developing controllable hypermutable cells of Clostridium acetobutylicum, an important and representative industrial strain. Firstly, the mutS/L operon essential for methyldirected mismatch repair (MMR) activity was inactivated from the genome of C. acetobutylicum to generate hypermutable cells with over 250-fold increased mutation rates. Secondly, a proofreading control system carrying an inducibly expressed mutS/L operon was constructed. The hypermutable cells and the proofreading control system were integrated to form a controllable hypermutable system SMBMutC, of which the mutation rates can be regulated by the concentration of anhydrotetracycline (aTc). Duplication of the miniPthl-tetR module of the proofreading control system further significantly expanded the regulatory space of the mutation rates, demonstrating hypermutable Clostridium cells with controllable mutation rates are generated. The developed C. acetobutylicum strain SMBMutC2 showed higher survival capacities than the control strain facing butanol-stress, indicating greatly increased evolvability and adaptability of the controllable hypermutable cells under environmental challenges.
Butanols ; pharmacology ; Cell Engineering ; methods ; Clostridium acetobutylicum ; cytology ; drug effects ; genetics ; physiology ; DNA Methylation ; genetics ; DNA Mismatch Repair ; genetics ; Evolution, Molecular ; Genome, Bacterial ; genetics ; MutS DNA Mismatch-Binding Protein ; genetics ; Mutation ; Operon ; genetics ; Stress, Physiological ; drug effects ; genetics