以生物信息学方法评估尽管 RHD 外显子正常但仍存在弱 D、Del 或 D- 表型的样本中的 GATA1 调控区域

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Eunike C. McGowan, Ping Chun Wu, Å. Hellberg, G. Lopez, Catherine A. Hyland, Martin L Olsson
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引用次数: 0

摘要

导言:目前已确认的血型抗原有 360 多种,但有些抗原,如 RhD,由于基因非编码区的核苷酸变异导致剪接或调控机制异常,从而导致抗原表达量减少。本研究旨在评估生物信息学预测的 RHD 基因中的 GATA1 结合调控基团,这些基团适用于 RhD 抗原表达较弱或明显阴性但 RHD 外显子正常的样本。研究方法将公开的开放染色质区域数据与 RHD 中的 GATA1 候选基团进行叠加。从RHD外显子正常的弱D、Del或D-样本(n = 13)中提取基因组DNA,通过定量PCR方法确认RHD的基因型。然后,扩增 RHD 启动子、内含子 1 和内含子 2 区域,进行 Sanger 测序,以检测 GATA1 候选基序的潜在破坏。电泳迁移试验(EMSA)用于评估 GATA1 的结合情况。荧光素酶测定用于评估转录活性。结果:生物信息学分析在样本的启动子、内含子 1 和内含子 2 中确定了六个 GATA1 候选基团中的五个。荧光素酶测定显示,内含子1和内含子2中的GATA1基调只有在出现R2单倍型变异(rs675072G>A)时才会增强转录。在 13 个样本中,有 12 个样本的 GATA1 基序是完整的。在一个具有 Del 表型的样本中,新型 RHD c.1-110A>C 变异破坏了启动子中的 GATA1 基序,EMSA 中缺乏 GATA1 超位移和荧光素酶检测中 73% 的转录活性证明了这一点。两个样本是 D+/D- 嵌合体。结论通过生物信息学预测,发现了一种新型 DEL 等位基因 RHD c.1-110A>C,它破坏了近端启动子中的 GATA1 基序。尽管本文调查的大多数样本仍无法解释其原因,但我们提供的 GATA1 靶点可能有利于未来的 RHD 调控研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Bioinformatically Initiated Approach to Evaluate GATA1 Regulatory Regions in Samples with Weak D, Del, or D– Phenotypes Despite Normal RHD Exons
Introduction: With over 360 blood group antigens in systems recognized, there are antigens, such as RhD, which demonstrate a quantitative reduction in antigen expression due to nucleotide variants in the non-coding region of the gene that result in aberrant splicing or a regulatory mechanism. This study aimed to evaluate bioinformatically predicted GATA1-binding regulatory motifs in the RHD gene for samples presenting with weak or apparently negative RhD antigen expression but showing normal RHD exons. Methods: Publicly available open chromatin region data were overlayed with GATA1 motif candidates in RHD. Genomic DNA from weak D, Del or D– samples with normal RHD exons (n = 13) was used to confirm RHD zygosity by quantitative PCR. Then, RHD promoter, intron 1, and intron 2 regions were amplified for Sanger sequencing to detect potential disruptions in the GATA1 motif candidates. Electrophoretic mobility shift assay (EMSA) was performed to assess GATA1-binding. Luciferase assays were used to assess transcriptional activity. Results: Bioinformatic analysis identified five of six GATA1 motif candidates in the promoter, intron 1 and intron 2 for investigation in the samples. Luciferase assays showed an enhancement in transcription for GATA1 motifs in intron 1 and for intron 2 only when the R2 haplotype variant (rs675072G>A) was present. GATA1 motifs were intact in 12 of 13 samples. For one sample with a Del phenotype, a novel RHD c.1–110A>C variant disrupted the GATA1 motif in the promoter which was supported by a lack of a GATA1 supershift in the EMSA and 73% transcriptional activity in the luciferase assay. Two samples were D+/D– chimeras. Conclusion: The bioinformatic predictions enabled the identification of a novel DEL allele, RHD c.1–110A>C, which disrupted the GATA1 motif in the proximal promoter. Although the majority of the samples investigated here remain unexplained, we provide GATA1 targets which may benefit future RHD regulatory investigations.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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