Expert consensus on the resolution level of the methods for HLA genotyping / 中国输血杂志

Human leukocyte antigen (HLA) genotyping has been widely used in establishing the database of the donors for hematopoietic stem cell, HLA matching selection between the donor and recipient, establishing the database of platelet donors with known HLA genotype, diagnosis of HLA association with diseases, genetics study and other scientific research. With the increasing number of HLA alleles and the development of HLA genotyping technology, there are some controversy in the definition of resolution for HLA genotyping, the description of the results for HLA genotyping between donor and recipient and the determination of HLA matching level. In order to improve the normalization of the definition and interpretation of HLA genotyping resolution, this expert consensus is formulated by many experts from the fields of HLA genotyping in the laboratory and clinical transplantation according to the relevant domestic and foreign literature and clinical practice. The definition of the resolution of HLA genotyping, the methods of HLA genotyping, the description of the results between donor and recipient and HLA matching determination are summarized, which will further standardize HLA genotyping technology and ensure the accuracy of the results for HLA genotyping.

Identification of Trichinella taxa by ITS-1 amplicon next-generation sequencing with an improved resolution for detecting underrepresented genotypes in mixed natural infections.

BACKGROUND: Amplicon-based next-generation sequencing (NGS) has rapidly gained popularity as a powerful method for delineating taxa in complex communities, including helminths. Here, we applied this approach to identify species and genotypes of zoonotic nematodes of the Trichinella genus. A known limitation of the current multiplex PCR (mPCR) assay recommended by the International Commission on Trichinellosis is that it does not differentiate Trichinella nativa from T. chanchalensis. METHODS: The new assay entails deep sequencing of an amplified variable fragment of the ribosomal cistron's (rDNA) internal transcribed spacer 1 using the Illumina platform. The assay was evaluated using first-stage larvae (L1) of select laboratory strains of various Trichinella taxa mixed in known proportions and then validated using archived L1 from 109 wildlife hosts. The species/genotypes of these L1 isolates from wildlife were previously determined using mPCR. RESULTS: NGS data analysis for Trichinella laboratory strains selected as representative of North American fauna revealed a sequence representation bias. Trichinella pseudospiralis, a non-encapsulated species, was the most underrepresented when mixed with T. spiralis, T. murrelli, T. nativa and Trichinella T6 in equal quantities. However, five L1 of T. pseudospiralis were readily revealed by NGS in a mix with 2000 L1 of T. nativa (1:400 ratio). From naturally infected wildlife, all Trichinella taxa revealed by mPCR were also identified by NGS in 103 of 107 (96.3%) samples amplified on both assays. NGS identified additional taxa in 11 (10.3%) samples, whereas additional taxa were revealed by mPCR in only four (3.7%) samples. Most isolates comprised single or mixed infections of T. nativa and Trichinella T6. On NGS, T. chanchalensis (T13) was detected in combination with Trichinella T6 in a wolverine (Gulo gulo) and in combination with T. nativa and Trichinella T6 in a marten (Martes americana) from the Northwest Territories, Canada. CONCLUSIONS: This new NGS assay demonstrates strong potential as a single assay for identifying all recognised Trichinella taxa as well as improved sensitivity for detecting under-represented and novel genotypes in mixed infections. In addition, we report a new host record for T. chanchalensis in American marten.

An Improved Technique for Genotyping the ABCB1 Gene Variant of Exon 21.

The Multidrug Resistance protein (ABCB1, MDR1) is involved in the transport of xenobiotics and antiretroviral drugs. Some variants of the ABCB1 gene are of clinical importance; among them, exon 12 (c.1236C>T, rs1128503), 21 (c.2677G>T/A, rs2032582), and 26 (c.3435C>T, rs1045642) have a high incidence in Caucasians. Several protocols have been used for genotyping the exon 21 variants, such as allele-specific PCR-RFLP using adapted primer to generate a digestion site for several enzymes and automatic sequencing to detect the SNVs, TaqMan Allele Discrimination assay and High-Resolution Melter analysis (HRMA). The aim was to describe a new approach to genotype the three variants c.2677G>T/A for the exon 21 doing only one PCR with the corresponding primers and the digestion of the PCR product with two restriction enzymes: BrsI to identify A allele and BseYI to differentiate between G or T. An improvement of this methodology was also described. The proposal technique here described is demonstrated to be very efficient, easy, fast, reproducible, and cost-effective.

Simultaneous Screening of SARS-CoV-2 Omicron and Delta Variants Using High-Resolution Melting Analysis.

A novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strain, the Omicron variant (Pango lineage B.1.1.529), was identified in South Africa in late September 2021. This variant has multiple spike protein deletions and mutations, with 15 amino acid substitutions detected in the receptor-binding domain (RBD). These RBD substitutions are hypothesized to increase infectivity and reduce antibody affinity, which is supported by recent data showing that the Omicron variant spreads faster than the Delta variant (Pango lineage B.1.617.2). Thus, this increase in infectivity should lead to Omicron being the dominant variant and developing screening tests that discriminate between Omicron and Delta variants is urgently needed. In this study, we successfully developed a novel screening assay using high-resolution melting analysis, in which two genotypes at G446/L452 and S477/T478 RBD were determined (G446S/L452 and S477N/T478K for Omicron; G446/L452R and S477/T478K for Delta). Using synthetic DNA fragments, we confirmed both melting point and melting peak shape of the RBD Omicron variant was distinguishable from those of wild-type and the Delta variant. Although this study was conducted without clinical samples, these results suggest that our high-resolution melting (HRM)-based genotyping method can readily identify the Omicron and Delta variants. This simple method should contribute to the rapid identification of SARS-CoV-2 variants and thus prevent potential widespread infection and inflow of the Omicron variant.

A rapid screening assay for L452R and T478K spike mutations in SARS-CoV-2 Delta variant using high-resolution melting analysis.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission has been reported worldwide and novel SARS-CoV-2 variants continue to emerge. A novel SARS-CoV-2 strain, the Delta variant (B.1.617.2), is spreading worldwide. The Delta variant has reportedly high infectivity and immune evasion potency. In June 2021, the World Health Organization categorized it as a variant of concern (VOC). Therefore, it is vital to develop tests that can exclusively identify the Delta variant. Here, we developed a rapid screening assay to detect characteristic mutations observed in the Delta variant using high-resolution melting (HRM) analysis. In this assay, we determined L452R and T478K, among which T478K is an identifier of the Delta variant since L452R is seen in other strains (Kappa and Epsilon variants). Additionally, nested PCR-based HRM analysis, which involved RT-PCR (1st PCR) and HRM analysis (2nd PCR), was developed to improve the specificity and sensitivity. Our method discriminated between the L452R mutant and wild-type L452. In addition, HRM analysis distinguished the T478K mutant from the wild-type T478. Seven clinical samples containing the Delta variant were successfully identified as L452R/T478K mutants. These results indicate that this HRM-based genotyping method can identify the Delta variant. This simple method should contribute to rapid identification of the Delta variant and the prevention of infection spread.

Development of a genotyping platform for SARS-CoV-2 variants using high-resolution melting analysis.

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus causing coronavirus disease 2019 (COVID-19), has been expanding globally since late 2019. SARS-CoV-2, an RNA virus, has a genome sequence that can easily undergo mutation. Several mutated SARS-CoV-2 strains, including those with higher infectivity than others, have been reported. To reduce SARS-CoV-2 transmission, it is crucial to trace its infection sources. Here, we developed a simple, easy-to-use genotyping method to identify SARS-CoV-2 variants using a high-resolution melting (HRM) analysis. METHODS: We investigated five mutation sites, A23403G, G25563T, G26144T, T28144C, and G28882A, which are known strain determinants according to GISAID clades (L, S, V, G, GH, and GR). RESULTS: We first employed synthetic DNA fragments containing the five characteristic sites for HRM analysis. All sequences clearly differentiated wild-type from mutant viruses. We then confirmed that RNA fragments were suitable for HRM analysis following reverse transcription. Human saliva did not negatively affect the HRM analysis, which supports the absence of a matrix effect. CONCLUSIONS: Our results indicate that this HRM-based genotyping method can identify SARS-CoV-2 variants. This novel assay platform potentially paves the way for accurate and rapid identification of SARS-CoV-2 infection sources.

Extended ORF8 Gene Region Is Valuable in the Epidemiological Investigation of Severe Acute Respiratory Syndrome-Similar Coronavirus.

Severe acute respiratory syndrome coronavirus (SARS-CoV) was discovered as a novel pathogen in the 2002-2003 SARS epidemic. The emergence and disappearance of this pathogen have brought questions regarding its source and evolution. Within the genome sequences of 281 SARS-CoVs, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and SARS-related CoVs (SARSr-CoVs), a ~430 bp genomic region (from 27 701 bp to 28 131 bp in AY390556.1) with regular variations was investigated. This ~430 bp region overlaps with the ORF8 gene and is prone to deletions and nucleotide substitutions. Its complexity suggested the need for a new genotyping method for coronaviruses related to SARS-similar coronaviruses (SARS-CoV, SARSr-CoV, and SARS-CoV-2). Bat SARSr-CoV presented 3 genotypes, of which type 0 is only seen in bat SARSr-CoV, type I is present in SARS in the early phase, and type II is found in all SARS-CoV-2. This genotyping also shows potential usage in distinguishing the SARS-similar coronaviruses from different hosts and geographic areas. This genomic region has important implications for predicting the epidemic trend and studying the evolution of coronavirus.

Familial clustering of mice consistent to known pedigrees enabled by the genome profiling (GP) method.

Familial clustering without any prerequisite knowledge becomes often necessary in Behavioral Science, and forensic studies in case of great disasters like Tsunami and earthquake requiring body-identification without any usable information. However, there has been no well-established method for this purpose although conventional ones such as short tandem repeats (STR) and single nucleotide polymorphism (SNP), which might be applied with toil and moil to some extent. In this situation, we could find that the universal genome distance-measuring method genome profiling (GP), which is made up of three elemental techniques; random PCR, micro-temperature gradient gel electrophoresis (µTGGE), and computer processing for normalization, can do this purpose with ease when applied to mouse families. We also confirmed that the sequencing approach based on the ccgf (commonly conserved genetic fragment appearing in the genome profile) was not completely discriminative in this case. This is the first demonstration that the familial clustering can be attained without a priori sequence information to the level of discriminating strains and sibling relationships. This method can complement the conventional approaches in preliminary familial clustering.