21 research outputs found

    F Plasmid Conjugative DNA Transfer: THE TraI HELICASE ACTIVITY IS ESSENTIAL FOR DNA STRAND TRANSFER

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    The product of the Escherichia coli F plasmid traI gene is required for DNA transfer via bacterial conjugation. This bifunctional protein catalyzes the unwinding of duplex DNA and is a sequence-specific DNA transesterase. The latter activity provides the site- and strand-specific nick required to initiate DNA transfer. To address the role of the TraI helicase activity in conjugative DNA transfer traI mutants were constructed and their function in DNA transfer was evaluated using genetic and biochemical methods. A traI deletion/insertion mutant was transfer-defective as expected. A traI C-terminal deletion that removed the helicase-associated motifs was also transfer-defective despite the fact that the region of traI encoding the transesterase activity was intact. Biochemical studies demonstrated that the N-terminal domain was sufficient to catalyze oriT-dependent transesterase activity. Thus, a functional transesterase was not sufficient to support DNA transfer. Finally, a point mutant, TraI-K998M, that lacked detectable helicase activity was characterized. This protein catalyzed oriT-dependent transesterase activity in vitro and in vivo but failed to complement a traI deletion strain in conjugative DNA transfer assays. Thus, both the transesterase and helicase activities of TraI are essential for DNA strand transfer

    Structure-Function Analysis of Escherichia coli DNA Helicase I Reveals Non-overlapping Transesterase and Helicase Domains

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    TraI (DNA helicase I) is an Escherichia coli F plasmid-encoded protein required for bacterial conjugative DNA transfer. The protein is a sequence-specific DNA transesterase that provides the site- and strand-specific nick required to initiate DNA strand transfer and a 5' to 3' DNA helicase that unwinds the F plasmid to provide the single-stranded DNA that is transferred from donor to recipient. Sequence comparisons with other transesterases and helicases suggest that these activities reside in the N- and C-terminal regions of TraI, respectively. Computer-assisted secondary structure probability analysis identified a potential interdomain region spanning residues 304-309. Proteins encoded by segments of traI, whose N or C terminus either flanked or coincided with this region, were purified and assessed for catalytic activity. Amino acids 1-306 contain the transesterase activity, whereas amino acids 309-1504 contain the helicase activity. The C-terminal 252 amino acids of the 1756-amino acid TraI protein are not required for either helicase or transesterase activity. Protein and nucleic acid sequence similarity searches indicate that the occurrence of both transesterase- and helicase-associated motifs in a conjugative DNA transfer initiator protein is rare. Only two examples (other than R100 plasmid TraI) were found: R388 plasmid TrwC and R46 plasmid (pKM101) TraH, belonging to the IncW and IncN groups of broad host range conjugative plasmids, respectively. The most significant structural difference between these proteins and TraI is that TraI contains an additional region of approximately 650 residues between the transesterase domain and the helicase-associated motifs. This region is required for helicase activity

    In Silico Derivation of HLA-Specific Alloreactivity Potential from Whole Exome Sequencing of Stem Cell Transplant Donors and Recipients: Understanding the Quantitative Immuno-biology of Allogeneic Transplantation

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    Donor T cell mediated graft vs. host effects may result from the aggregate alloreactivity to minor histocompatibility antigens (mHA) presented by the HLA in each donor-recipient pair (DRP) undergoing stem cell transplantation (SCT). Whole exome sequencing has demonstrated extensive nucleotide sequence variation in HLA-matched DRP. Non-synonymous single nucleotide polymorphisms (nsSNPs) in the GVH direction (polymorphisms present in recipient and absent in donor) were identified in 4 HLA-matched related and 5 unrelated DRP. The nucleotide sequence flanking each SNP was obtained utilizing the ANNOVAR software package. All possible nonameric-peptides encoded by the non-synonymous SNP were then interrogated in-silico for their likelihood to be presented by the HLA class I molecules in individual DRP, using the Immune-Epitope Database (IEDB) SMM algorithm. The IEDB-SMM algorithm predicted a median 18,396 peptides/DRP which bound HLA with an IC50 of <500nM, and 2254 peptides/DRP with an IC50 of <50nM. Unrelated donors generally had higher numbers of peptides presented by the HLA. A similarly large library of presented peptides was identified when the data was interrogated using the Net MHCPan algorithm. These peptides were uniformly distributed in the various organ systems. The bioinformatic algorithm presented here demonstrates that there may be a high level of minor histocompatibility antigen variation in HLA-matched individuals, constituting an HLA-specific alloreactivity potential. These data provide a possible explanation for how relatively minor adjustments in GVHD prophylaxis yield relatively similar outcomes in HLA matched and mismatched SCT recipients.Comment: Abstract: 235, Words: 6422, Figures: 7, Tables: 3, Supplementary figures: 2, Supplementary tables:

    Whole Exome Sequencing to Estimate Alloreactivity Potential Between Donors and Recipients in Stem Cell Transplantation

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    Whole exome sequencing was performed on HLA-matched stem cell donors and transplant recipients to measure sequence variation contributing to minor histocompatibility antigen differences between the two. A large number of nonsynonymous single nucleotide polymorphisms were identified in each of the nine unique donor-recipient pairs tested. This variation was greater in magnitude in unrelated donors as compared with matched related donors. Knowledge of the magnitude of exome variation between stem cell transplant recipients and donors may allow more accurate titration of immunosuppressive therapy following stem cell transplantation.Comment: 12 pages- main article, 29 pages total, 5 figures, 1 supplementary figur

    The Eurasian Modern Pollen Database (EMPD), version 2

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    The Eurasian (née European) Modern Pollen Database (EMPD) was established in 2013 to provide a public database of high-quality modern pollen surface samples to help support studies of past climate, land cover, and land use using fossil pollen. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives throughout the Eurasian region. The EPD is in turn part of the rapidly growing Neotoma database, which is now the primary home for global palaeoecological data. This paper describes version 2 of the EMPD in which the number of samples held in the database has been increased by 60 % from 4826 to 8134. Much of the improvement in data coverage has come from northern Asia, and the database has consequently been renamed the Eurasian Modern Pollen Database to reflect this geographical enlargement. The EMPD can be viewed online using a dedicated map-based viewer at https://empd2.github.io and downloaded in a variety of file formats at https://doi.pangaea.de/10.1594/PANGAEA.909130 (Chevalier et al., 2019)Swiss National Science Foundation | Ref. 200021_16959

    The Eurasian Modern Pollen Database (EMPD), version 2

    Get PDF
    The Eurasian (nee European) Modern Pollen Database (EMPD) was established in 2013 to provide a public database of high-quality modern pollen surface samples to help support studies of past climate, land cover, and land use using fossil pollen. The EMPD is part of, and complementary to, the European Pollen Database (EPD) which contains data on fossil pollen found in Late Quaternary sedimentary archives throughout the Eurasian region. The EPD is in turn part of the rapidly growing Neotoma database, which is now the primary home for global palaeoecological data. This paper describes version 2 of the EMPD in which the number of samples held in the database has been increased by 60% from 4826 to 8134. Much of the improvement in data coverage has come from northern Asia, and the database has consequently been renamed the Eurasian Modern Pollen Database to reflect this geographical enlargement. The EMPD can be viewed online using a dedicated map-based viewer at https://empd2.github.io and downloaded in a variety of file formats at https://doi.pangaea.de/10.1594/PANGAEA.909130 (Chevalier et al., 2019).Peer reviewe

    Whole exome sequencing to estimate alloreactivity potential between donors and recipients in stem cell transplantation.

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    Whole exome sequencing (WES) was performed on stem cell transplant donor-recipient (D-R) pairs to determine the extent of potential antigenic variation at a molecular level. In a small cohort of D-R pairs, a high frequency of sequence variation was observed between the donor and recipient exomes independent of human leucocyte antigen (HLA) matching. Nonsynonymous, nonconservative single nucleotide polymorphisms were approximately twice as frequent in HLA-matched unrelated, compared with related D-R pairs. When mapped to individual chromosomes, these polymorphic nucleotides were uniformly distributed across the entire exome. In conclusion, WES reveals extensive nucleotide sequence variation in the exomes of HLA-matched donors and recipients

    In silico Derivation of HLA-Specific Alloreactivity Potential from Whole Exome Sequencing of Stem-Cell Transplant Donors and Recipients: Understanding the Quantitative Immunobiology of Allogeneic Transplantation.

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    Donor T-cell mediated graft versus host (GVH) effects may result from the aggregate alloreactivity to minor histocompatibility antigens (mHA) presented by the human leukocyte antigen (HLA) molecules in each donor-recipient pair undergoing stem-cell transplantation (SCT). Whole exome sequencing has previously demonstrated a large number of non-synonymous single nucleotide polymorphisms (SNP) present in HLA-matched recipients of SCT donors (GVH direction). The nucleotide sequence flanking each of these SNPs was obtained and the amino acid sequence determined. All the possible nonameric peptides incorporating the variant amino acid resulting from these SNPs were interrogated in silico for their likelihood to be presented by the HLA class I molecules using the Immune Epitope Database stabilized matrix method (SMM) and NetMHCpan algorithms. The SMM algorithm predicted that a median of 18,396 peptides weakly bound HLA class I molecules in individual SCT recipients, and 2,254 peptides displayed strong binding. A similar library of presented peptides was identified when the data were interrogated using the NetMHCpan algorithm. The bioinformatic algorithm presented here demonstrates that there may be a high level of mHA variation in HLA-matched individuals, constituting a HLA-specific alloreactivity potential
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