Ethan Deitcher, Kirk Trisler, B. Moriarity, Caleb J. Bostwick, Fleur A. D. Leenen, Steven R. Deitcher
{"title":"基于生物信息学的人类 B 细胞受体 (BCR) 刺激相关基因和假定启动子的鉴定","authors":"Ethan Deitcher, Kirk Trisler, B. Moriarity, Caleb J. Bostwick, Fleur A. D. Leenen, Steven R. Deitcher","doi":"10.3390/biomedinformatics4020076","DOIUrl":null,"url":null,"abstract":"Genome engineered B-cells are being developed for chronic, systemic in vivo protein replacement therapies and for localized, tumor cell-actuated anticancer therapeutics. For continuous systemic engineered protein production, expression may be driven by constitutively active promoters. For actuated payload delivery, B-cell conditional expression could be based on transgene alternate splicing or heterologous promotors activated after engineered B-cell receptor (BCR) stimulation. This study used a bioinformatics-based approach to identify putative BCR-stimulated gene promoters. Gene expression data at four timepoints (60, 90, 210, and 390 min) following in vitro BCR stimulation using an anti-IgM antibody in B-cells from six healthy donors were analyzed using R (4.2.2). Differentially upregulated genes were stringently defined as those with adjusted p-value < 0.01 and a log2FoldChange > 1.5. The most upregulated and statistically significant genes were further analyzed to find those with the lowest unstimulated B-cell expression. Of the 46 significantly upregulated genes at 390 min post-BCR stimulation, 6 had average unstimulated expression below the median unstimulated expression at 390 min for all 54,675 gene probes. This bioinformatics-based identification of 6 relatively quiescent genes at baseline that are upregulated by BCR-stimulation (“on-switch”) provides a set of promising promotors for inclusion in future transgene designs and engineered B-cell therapeutics development.","PeriodicalId":72394,"journal":{"name":"BioMedInformatics","volume":"12 11","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bioinformatics-Based Identification of Human B-Cell Receptor (BCR) Stimulation-Associated Genes and Putative Promoters\",\"authors\":\"Ethan Deitcher, Kirk Trisler, B. Moriarity, Caleb J. Bostwick, Fleur A. D. Leenen, Steven R. Deitcher\",\"doi\":\"10.3390/biomedinformatics4020076\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Genome engineered B-cells are being developed for chronic, systemic in vivo protein replacement therapies and for localized, tumor cell-actuated anticancer therapeutics. For continuous systemic engineered protein production, expression may be driven by constitutively active promoters. For actuated payload delivery, B-cell conditional expression could be based on transgene alternate splicing or heterologous promotors activated after engineered B-cell receptor (BCR) stimulation. This study used a bioinformatics-based approach to identify putative BCR-stimulated gene promoters. Gene expression data at four timepoints (60, 90, 210, and 390 min) following in vitro BCR stimulation using an anti-IgM antibody in B-cells from six healthy donors were analyzed using R (4.2.2). Differentially upregulated genes were stringently defined as those with adjusted p-value < 0.01 and a log2FoldChange > 1.5. The most upregulated and statistically significant genes were further analyzed to find those with the lowest unstimulated B-cell expression. Of the 46 significantly upregulated genes at 390 min post-BCR stimulation, 6 had average unstimulated expression below the median unstimulated expression at 390 min for all 54,675 gene probes. This bioinformatics-based identification of 6 relatively quiescent genes at baseline that are upregulated by BCR-stimulation (“on-switch”) provides a set of promising promotors for inclusion in future transgene designs and engineered B-cell therapeutics development.\",\"PeriodicalId\":72394,\"journal\":{\"name\":\"BioMedInformatics\",\"volume\":\"12 11\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BioMedInformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/biomedinformatics4020076\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioMedInformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/biomedinformatics4020076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目前正在开发基因工程 B 细胞,用于慢性、全身性体内蛋白质替代疗法和局部肿瘤细胞驱动的抗癌疗法。对于连续的全身性工程蛋白生产,可通过组成型活性启动子来驱动表达。对于驱动有效载荷的递送,B 细胞条件表达可基于转基因交替剪接或在工程化 B 细胞受体(BCR)刺激后激活的异源启动子。本研究采用了一种基于生物信息学的方法来识别假定的 BCR 刺激基因启动子。使用 R (4.2.2)分析了六名健康供体的 B 细胞在抗 IgM 抗体体外 BCR 刺激后四个时间点(60、90、210 和 390 分钟)的基因表达数据。差异上调基因严格定义为调整后 p 值小于 0.01 且 log2FoldChange > 1.5 的基因。对上调最多且具有统计学意义的基因进行了进一步分析,以找出未刺激 B 细胞表达量最低的基因。在 BCR 刺激后 390 分钟明显上调的 46 个基因中,有 6 个基因的平均未刺激表达量低于所有 54,675 个基因探针 390 分钟未刺激表达量的中位数。这种基于生物信息学的方法鉴定出了 6 个基线相对静止的基因,这些基因在受到 BCR 刺激("开关")时会上调,这为将来的转基因设计和工程 B 细胞疗法的开发提供了一组有前景的启动子。
Bioinformatics-Based Identification of Human B-Cell Receptor (BCR) Stimulation-Associated Genes and Putative Promoters
Genome engineered B-cells are being developed for chronic, systemic in vivo protein replacement therapies and for localized, tumor cell-actuated anticancer therapeutics. For continuous systemic engineered protein production, expression may be driven by constitutively active promoters. For actuated payload delivery, B-cell conditional expression could be based on transgene alternate splicing or heterologous promotors activated after engineered B-cell receptor (BCR) stimulation. This study used a bioinformatics-based approach to identify putative BCR-stimulated gene promoters. Gene expression data at four timepoints (60, 90, 210, and 390 min) following in vitro BCR stimulation using an anti-IgM antibody in B-cells from six healthy donors were analyzed using R (4.2.2). Differentially upregulated genes were stringently defined as those with adjusted p-value < 0.01 and a log2FoldChange > 1.5. The most upregulated and statistically significant genes were further analyzed to find those with the lowest unstimulated B-cell expression. Of the 46 significantly upregulated genes at 390 min post-BCR stimulation, 6 had average unstimulated expression below the median unstimulated expression at 390 min for all 54,675 gene probes. This bioinformatics-based identification of 6 relatively quiescent genes at baseline that are upregulated by BCR-stimulation (“on-switch”) provides a set of promising promotors for inclusion in future transgene designs and engineered B-cell therapeutics development.