生物信息学:HLA序列数据分析。

Reviews in immunogenetics Pub Date : 2000-01-01
E H Rozemuller, M G Tilanus
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引用次数: 0

摘要

在造血细胞移植中,高分辨率HLA分型是选择匹配供体的必要条件。提供最准确和完整的HLA基因型鉴定的高分辨率分型方法是基于序列的分型(SBT)。对于每个被检测的样本,SBT定义了给定HLA位点上两个等位基因编码区的精确核苷酸序列。然后,可以通过计算机序列比较该位点上所有可能的HLA等位基因组合来鉴定样品的潜在基因型。使用SBT来鉴定给定HLA基因的完整核苷酸序列也可以直接检测以前未定义的等位基因。由于不同的HLA等位基因可能因单个核苷酸而不同,因此SBT对HLA基因型的准确定位绝对依赖于对给定样本中每个位置的核苷酸的正确鉴定。然而,杂合样本的自动序列分析可能导致核苷酸在给定位置的模糊分配。此外,模棱两可的分配可能是由于表达不同HLA等位基因的两个不同样本的测序,但其序列谱看起来完全相同。这两种模棱两可的情况都可以通过应用多序列分析(MSA)方法来解决。
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Bioinformatics: analysis of HLA sequence data.

High resolution HLA typing is a requirement for the selection of matched donors in hematopoietic cell transplantation. The high resolution typing method that provides the most accurate and complete identification of HLA genotypes is sequencing-based typing (SBT). For each sample being tested, SBT defines the exact nucleotide sequence of the coding regions of both alleles at a given HLA locus. Identification of the underlying genotype of the sample can then be made by computerized sequence comparison with all possible HLA allele combinations at that locus. The use of SBT to identify the complete nucleotide sequence of a given HLA gene also enables the direct detection of previously undefined alleles. Since different HLA alleles may differ by a single nucleotide, the accurate assignment of an HLA genotype by SBT is absolutely dependent on the correct identification of the nucleotide at each position for a given sample. However, automated sequence analysis of heterozygous samples may result in the ambiguous assignment of nucleotides at a given position. In addition, ambiguous assignments may result from the sequencing of two different samples that express different HLA alleles but whose sequence profiles appear exactly the same. Both of these ambiguous situations can be resolved by the application of the multi-sequence analysis (MSA) method described here.

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NCBI genetic resources supporting immunogenetic research. Storage and utilization of HLA genomic data--new approaches to HLA typing. Identifying cytotoxic T cell epitopes from genomic and proteomic information: "The human MHC project.". Bioinformatics: analysis of HLA sequence data. The IMGT/HLA sequence database.
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