Native human platelet factor 4 (PF4) is a homotetrameric protein (70 residues/subunit) known for its anticoagulant heparin binding activity. 2D 15N--1H HSQC NMR experiments of native PF4 in solution show the presence of conformational heterogeneity consistent with the formation of asymmetric homo-tetramers as observed in the X-ray crystal structure of both human and bovine PF4. A chimeric mutant of PF4 (called PF4-M2) which substitutes the first 11 N-terminal residues for the first eight residues from homologous interleukin-8 forms symmetric homo-tetramers with essentially the same heparin binding activity as native PF4. The solution structure of PF4-M2 has been investigated by using two- and three-dimensional 1H- and 15N-NMR spectroscopy and NOE-restrained simulated annealing molecular dynamics. As with other members of the CXC chemokine family whose structures are known, the PF4-M2 subunit monomer consists of a mostly hydrophobic, triple-stranded antiparallel beta-sheet onto which is folded an amphipathic C-terminal helix and a less periodic N-terminal domain. Although N-terminal substitution with the less acidic interleukin-8 sequence most affects the quarternary structure relative to native PF4 at the AC and AD dimer interfaces, AB dimer stability is weakened as reflected in reduced equilibrium association binding constants.
The structural features of the heterodimeric glycoprotein hormones (LH, FSH, TSH, and hCG) are briefly reviewed. Removal of carbohydrate chains does not reduce binding of the hormones to membrane receptors, but markedly reduces biological responses. The glycopeptides from the hormone do not reduce binding of native hormone to receptors but do reduce biological responses. Newer data concerned with replication of different regions of the peptide chains of these molecules using synthetic peptides are reviewed and presented. These studies indicate that two regions on the common alpha subunit are involved with receptor binding of the LH, hCG, and TSH molecules. These regions are alpha 26 to 46 and alpha 75-92. Two synthetic disulfide loop peptides from the hCG beta subunit beta 38-57 and beta 93-100 also block binding of hCG to its receptor. In addition, the beta 38-57 peptide stimulates testosterone production by Leydig cells. These data indicate that glycoprotein hormone binding to plasma membrane receptors involves a discontinuous site on the hormone that spans both the alpha and beta subunits, and that the alpha subunit sites are similar for several hormones.
Knowledge of an individual’s HLA genotype is essential for modern medical genetics, and is crucial for hematopoietic stem cell and solid-organ transplantation. However, the high levels of polymorphism known for the HLA genes make it difficult to generate an HLA genotype that unambiguously identifies the alleles that are present at a given HLA locus in an individual. For the last twenty years, the histocompatibility and immunogenetics community has recorded this HLA genotyping ambiguity using allele codes developed by the National Marrow Donor Program (NMDP). While these allele codes may have been effective for recording an HLA genotyping result when initially developed, their use today results in increased ambiguity in an HLA genotype, and they are no longer suitable in the era of rapid allele discovery and ultra-high allele polymorphism. Here, we present a text string format capable of fully representing HLA genotyping results. This Genotype List (GL) String format is an extension of a proposed standard for reporting KIR genotype data that can be applied to any genetic data that employs a standard nomenclature for identifying variants. The GL String format employs a hierarchical set of operators to describe the relationships between alleles, lists of possible alleles, phased alleles, genotypes, lists of possible genotypes, and multilocus unphased genotypes, without losing typing information or increasing typing ambiguity. When used in concert with appropriate tools to create, exchange, and parse these strings, we anticipate that GL Strings will replace NMDP allele codes for reporting HLA genotypes.
Platelet factor-4 (PF4) is a 70-residue protein which contains a 3-stranded antiparallel beta-sheet domain on to which is folded a C-terminal alpha-helix and an aperiodic N-terminal region. In this study, three peptides derived from the beta-sheet (residues 24-46 and 38-57) and helix (residues 57-70) domains have been synthesized and studied in aqueous solution by CD and NMR. While peptides 24-46 and 56-70 demonstrate some weak conformational preferences, peptide 38-57 maintains a relatively well-defined, NOE-rich chain reversal sequence, L45-K46-N47-G48-R49-K50, which apparently is stabilized by hydrophobic side-chain interactions from the flanking sequences L41-L45 and I51-L53. Some helix-like conformational populations are noted in the native PF4 I42-A43-T44-L45 beta-strand segment. NOE-based distance geometry calculations yield native-like conformations within the L45-K50 sequence. Among 40 structures, backbone RMS deviations range from 0.5 to 1.2 A, and compared to the same sequence in native PF4, the average RMS deviation is 1.1 A. These results suggest that beta-sheet/turn residues L41-L53 present a folding initiation site on the PF4 folding pathway.
We present an electronic format for exchanging data for HLA and KIR genotyping with extensions for next-generation sequencing (NGS). This format addresses NGS data exchange by refining the Histoimmunogenetics Markup Language (HML) to conform to the proposed Minimum Information for Reporting Immunogenomic NGS Genotyping (MIRING) reporting guidelines (miring.immunogenomics.org). Our refinements of HML include two major additions. First, NGS is supported by new XML structures to capture additional NGS data and metadata required to produce a genotyping result, including analysis-dependent (dynamic) and method-dependent (static) components. A full genotype, consensus sequence, and the surrounding metadata are included directly, while the raw sequence reads and platform documentation are externally referenced. Second, genotype ambiguity is fully represented by integrating Genotype List Strings, which use a hierarchical set of delimiters to represent allele and genotype ambiguity in a complete and accurate fashion. HML also continues to enable the transmission of legacy methods (e.g. site-specific oligonucleotide, sequence-specific priming, and sequence based typing (SBT)), adding features such as allowing multiple group-specific sequencing primers, and fully leveraging techniques that combine multiple methods to obtain a single result, such as SBT integrated with NGS.
Most anti-nicotinic acetylcholine receptor (AChR) antibodies in myasthenia gravis are directed against an immunodominant epitope or epitopes [main immunogenic region (MIR)] on the AChR alpha-subunit. Thirty-two synthetic peptides, corresponding to the complete Torpedo alpha-subunit sequence and to a segment of human muscle alpha-subunit, were used to map the epitopes for 11 monoclonal antibodies (mAbs) directed against the Torpedo and/or the human MIR and for a panel of anti-AChR mAbs directed against epitopes on the alpha-subunit other than the MIR. A main constituent loop of the MIR was localized within residues alpha 67-76. Residues 70 and 75, which are different in the Torpedo and human alpha-subunits, seem to be crucial in determining the binding profile for several mAbs whose binding to the peptides correlated very well with their binding pattern to native Torpedo and human AChRs. This strongly supports the identification of the peptide loop alpha 67-76 as the actual location of the MIR on the intact AChR molecule. Residues 75 and 76 were necessary for binding of some mAbs and irrelevant for others, in agreement with earlier suggestions that the MIR comprises overlapping epitopes. Structural predictions for the sequence segment alpha 67-76 indicate that this segment has a relatively high segmental mobility and a very strong turning potential centered around residues 68-71. The most stable structure predicted for this segment, in both the Torpedo and human alpha-subunits, is a hairpin loop, whose apex is a type I beta-turn and whose arms are beta-strands. This loop is highly hydrophilic, and its apex is negatively charged. All these structural properties have been proposed as characteristic of antibody binding sites. We also localized the epitopes for mAbs against non-MIR regions. Among these, the epitope for a monoclonal antibody (mAb 13) that noncompetitively inhibits channel function was localized within residues alpha 331-351.
The development of next-generation sequencing (NGS) technologies for HLA and KIR genotyping is rapidly advancing knowledge of genetic variation of these highly polymorphic loci. NGS genotyping is poised to replace older methods for clinical use, but standard methods for reporting and exchanging these new, high quality genotype data are needed. The Immunogenomic NGS Consortium, a broad collaboration of histocompatibility and immunogenetics clinicians, researchers, instrument manufacturers and software developers, has developed the Minimum Information for Reporting Immunogenomic NGS Genotyping (MIRING) reporting guidelines. MIRING is a checklist that specifies the content of NGS genotyping results as well as a set of messaging guidelines for reporting the results. A MIRING message includes five categories of structured information – message annotation, reference context, full genotype, consensus sequence and novel polymorphism – and references to three categories of accessory information – NGS platform documentation, read processing documentation and primary data. These eight categories of information ensure the long-term portability and broad application of this NGS data for all current histocompatibility and immunogenetics use cases. In addition, MIRING can be extended to allow the reporting of genotype data generated using pre-NGS technologies. Because genotyping results reported using MIRING are easily updated in accordance with reference and nomenclature databases, MIRING represents a bold departure from previous methods of reporting HLA and KIR genotyping results, which have provided static and less-portable data. More information about MIRING can be found online at miring.immunogenomics.org.
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