A RHAG point mutation selectively disrupts Rh antigen expression

Single molecule distribution of RhD binding epitopes on ultraflat erythrocyte ghosts

The Rh blood group system plays a key role in transfusion and organ transplant medicine. The complex transmembrane Rh polypeptides RhD and RhCE carry numerous antigens, including the extremely immunogenic D antigen. The Rh polypeptides form multimolecular Rh complexes with certain transmembrane and skeletal proteins, with so far only incompletely understood physiological functions. Determination of the energy landscape of individual Rh binding epitopes towards their specific interaction partners as well as their localization across the red blood cell (RBC) membrane requires single molecule approaches including large area high resolution recognition imaging. Atomic force microscopy based molecular recognition force spectroscopy in combination with single molecule recognition imaging fulfills these requirements. For unbiased single molecule results, nano-mechanical influences due to cell elasticity have to be eliminated. This is realized by generation of ultra flat erythrocyte ghosts on a solid support. We developed a protocol for the preparation of complete ultraflat erythrocyte ghosts and determined the molecular binding behaviour of different anti-D antibodies towards their binding epitopes on RhD positive and negative erythrocytes. Performing optimized topography and recognition imaging at 16 Mpixel resolution allowed localisation of individual RhD molecules at the single molecule level across an entire RBC. A map of Rh antigens across integer ultraflat RBC ghosts was generated with nanometer resolution. Here we show a homogeneous distribution on rim and dimple regions with comparable receptor densities. Furthermore, differences in the energy landscape between specific monoclonal antibodies were determined at the single molecule level.

Complete RHD next-generation sequencing: establishment of reference RHD alleles

The Rh blood group system (ISBT004) is the second most important blood group after ABO and is the most polymorphic one, with 55 antigens encoded by 2 genes, RHD and RHCE This research uses next-generation sequencing (NGS) to sequence the complete RHD gene by amplifying the whole gene using overlapping long-range polymerase chain reaction (LR-PCR) amplicons. The aim was to study different RHD alleles present in the population to establish reference RHD allele sequences by using the analysis of intronic single-nucleotide polymorphisms (SNPs) and their correlation to a specific Rh haplotype. Genomic DNA samples (n = 69) from blood donors of different serologically predicted genotypes including R₁R₁ (DCe/DCe), R₂R₂ (DcE/DcE), R₁R₂ (DCe/DcE), R₂R_Z (DcE/DCE), R₁r (DCe/dce), R₂r (DcE/dce), and R₀r (Dce/dce) were sequenced and data were then mapped to the human genome reference sequence hg38. We focused on the analysis of hemizygous samples, as these by definition will only have a single copy of RHD For the 69 samples sequenced, different exonic SNPs were detected that correlate with known variants. Multiple intronic SNPs were found in all samples: 21 intronic SNPs were present in all samples indicating their specificity to the RHD*DAU0 (RHD*10.00) haplotype which the hg38 reference sequence encodes. Twenty-three intronic SNPs were found to be R₂ haplotype specific, and 15 were linked to R₁, R₀, and R_Z haplotypes. In conclusion, intronic SNPs may represent a novel diagnostic approach to investigate known and novel variants of the RHD and RHCE genes, while being a useful approach to establish reference RHD allele sequences.