Algorithm for haplotype inference via galled-tree networks with simple galls

The problem of determining haplotypes from genotypes has gained considerable prominence in the research community. Here the focus is on determining sets of SNP values on individual chromosomes since such information captures the genetic causes of diseases. The most efficient algorithmic tool for haplotyping is based on perfect phylogenetic trees. A drawback of this method is that it cannot be applied in situations when the data contains homoplasies (multiple mutations of the same character) or recombinations. Recently, Song et al. ( 2005 ) studied the two cases: haplotyping via imperfect phylogenies with a single homoplasy and via galled-tree networks with one gall. In Gupta et al. ( 2010 ), we have shown that the haplotyping via galled-tree networks is NP-hard, even if we restrict to the case when every gall contains at most 3 mutations. We present a polynomial algorithm for haplotyping via galled-tree networks with simple galls (each having two mutations) for genotype matrices which satisfy a natural condition which is implied by presence of at least one 1 in each column that contains a 2. In the end, we give the experimental results comparing our algorithm with PHASE on simulated data.     

IARC Database of p53 gene mutations in human tumors and cell lines: updated compilation, revised formats and new visualisation tools.

Since 1989, about 570 different p53 mutations have been identified in more than 8000 human cancers. A database of these mutations was initiated by M. Hollstein and C. C. Harris in 1990. This database originally consisted of a list of somatic point mutations in the p 53 gene of human tumors and cell lines, compiled from the published literature and made available in a standard electronic form. The database is maintained at the International Agency for Research on Cancer (IARC) and updated versions are released twice a year (January and July). The current version (July 1997) contains records on 6800 published mutations and will surpass the 8000 mark in the January 1998 release. The database now contains information on somatic and germline mutations in a new format to facilitate data retrieval. In addition, new tools are constructed to improve data analysis, such as a Mutation Viewer Java applet developed at the European Bioinformatics Institute (EBI) to visualise the location and impact of mutations on p53 protein structure. The database is available in different electronic formats at IARC (http://www.iarc. fr/p53/homepage.htm ) or from the EBI server (http://www.ebi.ac.uk ). The IARC p53 website also provides reports on database analysis and links with other p53 sites as well as with related databases. In this report, we describe the criteria for inclusion of data, the revised format and the new visualisation tools. We also briefly discuss the relevance of p 53 mutations to clinical and biological questions.     

NRMD: Nuclear Receptor Mutation Database

The NRMD is a database for nuclear receptor mutation information. It includes mutation information from SWISS-PROT/TrEMBL, several web-based mutation data resources, and data extracted from the literature in a fully automatic manner. Because it is also possible to add mutations manually, a hundred mutations were added for completeness. At present, the NRMD contains information about 893 mutations in 54 nuclear receptors. A common numbering scheme for all nuclear receptors eases the use of the information for many kinds of studies. The NRMD is freely available to academia and industry as a stand-alone version at: www.receptors.org/NR/.     

The Drosophila STAM gene homolog is in a tight gene cluster, and its expression correlates to that of the adjacent gene ial

Drosophila STAM is a homolog of mammalian STAM genes, which encode Jak associated signal-transducing adapter molecules. A 20-kilobase stretch of genomic DNA at 32B on chromosome arm 2L, which contains Drosophila STAM, has been sequenced. By comparison to cDNAs isolated and characterized, this region contains four tightly clustered genes: ial, mitochondrial porin, and the two newly discovered genes, STAM and DNZ1. Like its mouse and human homologs, STAM bears SH3 and ITAM domains. DNZ1 is a founding member of a sub-family of proteins bearing a DHHC/NEW1 zinc finger domain. Although these four genes are contained in a defined Deficiency overlap interval, no available P-element mutations in the region disrupt any of the genes, and no other discrete mutations in the genes have been identified. Among the four genes, ial and STAM share a common 5' control region, suggesting coordinate expression. Developmental Northern data and embryonic and ovariole expression data show that STAM and ial expression are correlated. The other two genes in the cluster appear to be expressed at constitutive levels throughout development.     

Dominant role of the 5' TAR bulge in dimerization of HIV-1 genomic RNA, but no evidence of TAR-TAR kissing during in vivo virus assembly

The 5' untranslated region of HIV-1 genomic RNA (gRNA) contains two stem-loop structures that appear to be equally important for gRNA dimerization: the 57-nucleotide 5' TAR, at the very 5' end, and the 35-nucleotide SL1 (nucleotides 243-277). SL1 is well-known for containing the dimerization initiation site (DIS) in its apical loop. The DIS is a six-nucleotide palindrome. Here, we investigated the mechanism of TAR-directed gRNA dimerization. We found that the trinucleotide bulge (UCU24) of the 5' TAR has dominant impacts on both formation of HIV-1 RNA dimers and maturation of the formed dimers. The ΔUCU trinucleotide deletion strongly inhibited the first process and blocked the other, thus impairing gRNA dimerization as severely as deletion of the entire 5' TAR, and more severely than deletion of the DIS, inactivation of the viral protease, or most severe mutations in the nucleocapsid protein. The apical loop of TAR contains a 10-nucleotide palindrome that has been postulated to stimulate gRNA dimerization by a TAR-TAR kissing mechanism analogous to the one used by SL1 to stimulate dimerization. Using mutations that strongly destabilize formation of the TAR palindrome duplex, as well as compensatory mutations that restore duplex formation to a wild-type-like level, we found no evidence of TAR-TAR kissing, even though mutations nullifying the kissing potential of the TAR palindrome could impair dimerization by a mechanism other than hindering of SL1. However, nullifying the kissing potential of TAR had much less severe effects than ΔUCU. By not uncovering a dimerization mechanism intrinsic to TAR, our data suggest that TAR mutations exert their effect 3' of TAR, yet not on SL1, because TAR and SL1 mutations have synergistic effects on gRNA dimerization.     

LDLR Database (second edition): new additions to the database and the software, and results of the first molecular analysis.

Mutations in the LDL receptor gene (LDLR) cause familial hypercholesterolemia (FH), a common autosomal dominant disorder. The LDLR database is a computerized tool that has been developed to provide tools to analyse the numerous mutations that have been identified in the LDLR gene. The second version of the LDLR database contains 140 new entries and the software has been modified to accommodate four new routines. The analysis of the updated data (350 mutations) gives the following informations: (i) 63% of the mutations are missense, and only 20% occur in CpG dinucleotides; (ii) although the mutations are widely distributed throughout the gene, there is an excess of mutations in exons 4 and 9, and a deficit in exons 13 and 15; (iii) the analysis of the distribution of mutations located within the ligand-binding domain shows that 74% of the mutations in this domain affect a conserved amino-acid, and that they are mostly confined in the C-terminal region of the repeats. Conversely, the same analysis in the EGF-like domain shows that 64% of the mutations in this domain affect a non-conserved amino-acid, and, that they are mostly confined in the N-terminal half of the repeats. The database is now accessible on the World Wide Web at http://www.umd.necker.fr     

Keio Mutation Database for eye disease genes (KMeyeDB).

A database of mutations in human eye disease genes has been constructed. This KMeyeDB employs a database software MutationView which provides graphical data presentation and analysis as a smooth user-interface. Currently, the KMeyeDB contains mutation data of 16 different genes for 18 eye diseases. The KMeyeDB is accessible through http://mutview.dmb.med.keio.ac.jp with advanced internet browsers.     

The androgen receptor gene mutations database.

The androgen receptor gene mutations database is a comprehensive listing of mutations published in journals and meetings proceedings. The majority of mutations are point mutations identified in patients with androgen insensitivity syndrome. Information is included regarding the phenotype, the nature and location of the mutations, as well as the effects of the mutations on the androgen binding activity of the receptor. The current version of the database contains 149 entries, of which 114 are unique mutations. The database is available from EMBL (NetServ@EMBL-Heidelberg.DE) or as a Macintosh Filemaker file (mc33001@musica.mcgill.ca).     

p53 gene mutation: software and database.

A large number of different mutations in the tumor suppressor gene p53 gene have been identified in all types of cancer. As of September 1995, this database contains over 4200 mutations. This substantial increase since our previous report can enable epidemiological analyses which were not previously possible. In order to capture all these new data, the software permitting analysis has been improved. This report describes the various improvements since first release of the database.     

Resistance of Russian isolates of Neisseria gonorrhoeae to fluoroquinolones

Fluoroquinolones still belong to the drugs of choice in the treatment of uncomplicated gonorrhea. At the same time, there have been more data on the spreading N. gonorrhoeae strains resistant to fluoroquinolones. A variety of mechanisms, like modification of the target of antibiotic's action (point mutations in genes gyrA and parC), a decreasing permeability of the bacterial cell membrane (amino-acid changes Por protein) and a growing efflux of antibiotic (mutations in the promoter or in the coding region of mtrR) mediate in the shaping resistance of the drugs. The MIC values for four fluoroquinolone-series antibiotics were determined and the gyrA, parC, por and mtrR genes were examined for resistance-responsible mutations in 32 studied clinical strains of N. gonorrhoeae. Strains with high resistance to fluoroquinolones were detected; 3 of them had no common changes in GyrA or ParC, however, amino acid changes and mutations were detected in Por protein and promoter or gene mtrR encoding region, respectively. The paper contains priority data on the detection (in Russia) of N. gonorrhoeae strains with high resistance to fluoroquinolones. Involvement of different mechanisms in the process of resistance shaping is discussed. The results are of practical importance for planning the antibacterial therapy of gonorrhoeae; they point out the need in regional testing of resistance in the N. gonorrhoeae population encountered in Russia.     

Context-dependent mutations predominate in an engineered high-affinity single chain antibody fragment

A mutational analysis of the femtomolar-affinity anti-fluorescein antibody 4M5.3, compared to its wild-type progenitor, 4-4-20, indicates both context-dependent and -independent mutations are responsible for the 1800-fold affinity improvement. 4M5.3 was engineered from 4-4-20 by directed evolution and contains 14 mutations. The seven mutations identified as present in each of 10 final round affinity maturation clones were studied here. Affinities of the 4-4-20 single mutant addition and 4M5.3 single site reversion mutants were compared. These experiments identified four mutations, of these seven, that were context-dependent in their contribution to higher affinity. A simplified mutant containing only these seven mutations was created to analyze complete double mutant cycles of selected sets of mutations. Specific mutational sets studied included the ligand contact mutations, the heavy chain CDR3 mutations, the heavy chain CDR3 mutations plus the neighboring residue at site H108, and the early and late acquired mutations on the directed evolution pathway. The heavy chain CDR3 mutational set and the ligand-contacting mutations were shown to provide -1.4 and -2.0 kcal/mol, respectively, of the total -3.5 kcal/mol change in free energy of binding of the seven-site consensus mutant. The mutations acquired late in the directed evolution rounds provided much of the change in free energy without the earlier acquired mutations (-3.1 kcal/mol of the total -3.5 kcal/mol). Prior structural data and electrostatic calculations presented several hypotheses for the higher affinity contributions, some of which are supported by these mutational data.     

WT1 exon 1 deletion/insertion mutations in Wilms tumor patients, associated with di- and trinucleotide repeats and deletion hotspot consensus sequences.

The WT1 gene is known to play a role in at least some cases of Wilms tumor (WT). The first exon of the gene is highly GC rich and contains many short tandem di- and trinucleotide repeats, interrupted direct repeats, and CCTG (CAGG) motifs that have been identified as hotspots for DNA deletions. We have analyzed 80 WT patient samples for mutations in the first exon of WT1, either by SSCP analysis of the first 131 bp of the coding portion of WT1 exon 1 or by size analysis of a PCR product encompassing the coding region of exon 1 in addition to flanking noncoding regions. We report here the occurrence of somatic and germ-line deletion and insertion mutations in this portion of the gene in four WT patients. The mutations are flanked by short direct repeats, and the breakpoints are within 5 nt of a CCTG (CAGG) sequence. These data suggest that a distinctive mutational mechanism, previously unrecognized for this gene, is important for the generation of DNA mutations at the WT1 locus.     

The snRNP E protein multigene family contains five pseudogenes with common mutations.

Sequence data from three previously-uncharacterized members of the snRNP E protein multigene family suggest that each is a non-transcribed processed pseudogene, even though one clone has the potential to code for a full-length protein with greater than 90% similarity to previously-characterized E protein cDNAs. Each of the newly-analyzed family members is without introns, contains a tract of polyadenylic acid residues, and is flanked by short direct repeats. In addition, the three sequences all contain point mutations that distinguish them from the E protein coding sequence. Seven point mutations are common to the three sequences described here and to two previously-described E protein pseudogenes. Although all of these mutations are transitions, only 5 of 7 could have been generated by deamination of methylated cytosines in inactive genes. Thus, the common mutations in the pseudogenes suggest an origin other than the expressed gene that we have described. Allelic variants for two of the pseudogenes were detected and repetitive elements are located near four of the five E protein pseudogenes that have been characterized.     

Disease-associated mutations prevent GPR56-collagen III interaction

GPR56 is a member of the adhesion G protein-coupled receptor (GPCR) family. Mutations in GPR56 cause a devastating human brain malformation called bilateral frontoparietal polymicrogyria (BFPP). Using the N-terminal fragment of GPR56 (GPR56(N)) as a probe, we have recently demonstrated that collagen III is the ligand of GPR56 in the developing brain. In this report, we discover a new functional domain in GPR56(N), the ligand binding domain. This domain contains four disease-associated mutations and two N-glycosylation sites. Our study reveals that although glycosylation is not required for ligand binding, each of the four disease-associated mutations completely abolish the ligand binding ability of GPR56. Our data indicates that these four single missense mutations cause BFPP mostly by abolishing the ability of GPR56 to bind to its ligand, collagen III, in addition to affecting GPR56 protein surface expression as previously shown.     

The Human PAX6 Mutation Database.

The Human PAX6 Mutation Database contains details of 94 mutations of the PAX6 gene. A Microsoft Access program is used by the Curator to store, update and search the database entries. Mutations can be entered directly by the Curator, or imported from submissions made via the World Wide Web. The PAX6 Mutation Database web page at URL http://www.hgu.mrc.ac.uk/Softdata/PAX6/ provides information about PAX6, as well as a fill-in form through which new mutations can be submitted to the Curator. A search facility allows remote users to query the database. A plain text format file of the data can be downloaded via the World Wide Web. The Curation program contains prior knowledge of the genetic code and of the PAX6 gene including cDNA sequence, location of intron/exon boundaries, and protein domains, so that the minimum of information need be provided by the submitter or Curator.