Recent successes illustrate the role of mass spectrometry-based proteomics as an indispensable tool for molecular and cellular biology and for the emerging field of systems biology. These include the study of protein-protein interactions via affinity-based isolations on a small and proteome-wide scale, the mapping of numerous organelles, the concurrent description of the malaria parasite genome and proteome, and the generation of quantitative protein profiles from diverse species. The ability of mass spectrometry to identify and, increasingly, to precisely quantify thousands of proteins from complex samples can be expected to impact broadly on biology and medicine.

Mass spectrometry-based proteomics

The identification of orthologous groups is useful for genome annotation, studies on gene/protein evolution, comparative genomics, and the identification of taxonomically restricted sequences. Methods successfully exploited for prokaryotic genome analysis have proved difficult to apply to eukaryotes, however, as larger genomes may contain multiple paralogous genes, and sequence information is often incomplete. OrthoMCL provides a scalable method for constructing orthologous groups across multiple eukaryotic taxa, using a Markov Cluster algorithm to group (putative) orthologs and paralogs. This method performs similarly to the INPARANOID algorithm when applied to two genomes, but can be extended to cluster orthologs from multiple species. OrthoMCL clusters are coherent with groups identified by EGO, but improved recognition of "recent" paralogs permits overlapping EGO groups representing the same gene to be merged. Comparison with previously assigned EC annotations suggests a high degree of reliability, implying utility for automated eukaryotic genome annotation. OrthoMCL has been applied to the proteome data set from seven publicly available genomes (human, fly, worm, yeast, Arabidopsis, the malaria parasite Plasmodium falciparum, and Escherichia coli). A Web interface allows queries based on individual genes or user-defined phylogenetic patterns (http://www.cbil.upenn.edu/gene-family). Analysis of clusters incorporating P. falciparum genes identifies numerous enzymes that were incompletely annotated in first-pass annotation of the parasite genome.

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OrthoMCL: identification of ortholog groups for eukaryotic genomes.

The newest version of MUMmer easily handles comparisons of large eukaryotic genomes at varying evolutionary distances, as demonstrated by applications to multiple genomes. Two new graphical viewing tools provide alternative ways to analyze genome alignments. The new system is the first version of MUMmer to be released as open-source software. This allows other developers to contribute to the code base and freely redistribute the code. The MUMmer sources are available at http://www.tigr.org/software/mummer.

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Versatile and open software for comparing large genomes

A statistical model is presented for computing probabilities that proteins are present in a sample on the basis of peptides assigned to tandem mass (MS/MS) spectra acquired from a proteolytic digest of the sample. Peptides that correspond to more than a single protein in the sequence database are apportioned among all corresponding proteins, and a minimal protein list sufficient to account for the observed peptide assignments is derived using the expectation−maximization algorithm. Using peptide assignments to spectra generated from a sample of 18 purified proteins, as well as complex H. influenzae and Halobacterium samples, the model is shown to produce probabilities that are accurate and have high power to discriminate correct from incorrect protein identifications. This method allows filtering of large-scale proteomics data sets with predictable sensitivity and false positive identification error rates. Fast, consistent, and transparent, it provides a standard for publishing large-scale protein identif...

/pdf/a-statistical-model-for-identifying-proteins-by-tandem-mass-6y78mauwol.pdf

A statistical model for identifying proteins by tandem mass spectrometry.

The parasite Plasmodium falciparum is responsible for hundreds of millions of cases of malaria, and kills more than one million African children annually. Here we report an analysis of the genome sequence of P. falciparum clone 3D7. The 23-megabase nuclear genome consists of 14 chromosomes, encodes about 5,300 genes, and is the most (A + T)-rich genome sequenced to date. Genes involved in antigenic variation are concentrated in the subtelomeric regions of the chromosomes. Compared to the genomes of free-living eukaryotic microbes, the genome of this intracellular parasite encodes fewer enzymes and transporters, but a large proportion of genes are devoted to immune evasion and host-parasite interactions. Many nuclear-encoded proteins are targeted to the apicoplast, an organelle involved in fatty-acid and isoprenoid metabolism. The genome sequence provides the foundation for future studies of this organism, and is being exploited in the search for new drugs and vaccines to fight malaria.

/pdf/genome-sequence-of-the-human-malaria-parasite-plasmodium-1d9r2ld5m6.pdf

Genome sequence of the human malaria parasite Plasmodium falciparum

Episomal transformation of Plasmodium berghei.

The genetic manipulation of malaria parasites is a rapidly emerging technology that offers great promise for the investigation of many aspects of infection. Currently it is possible to transform avian, rodent, primate as well as human parasites, the latter three on a stable, drug selectable basis. This review focuses on the history of the development of the technology, current abilities and future perspectives.

The development of and perspectives for genetic engineering of malaria parasites.

SUMMARY: We determined the small subunit (18S) ribosomal RNA sequence of the dimorphic fungus Blastomyces dermatitidis. The sequence was compared to that of fourteen other eukaryotic organisms, ten of which were higher fungi, and an evolutionary tree was constructed based on these sequences. B. dermatitidis aligned most closely with the Ascomycetes Neurospora crassa and Podospora anserina, in agreement with previous phylogenetic analysis based on morphological criteria. Phase-specific cDNA clones derived by reverse transcription of RNA isolated from the yeast and mycelial phases of B. dermatitidis were also sequenced. The 18S ribosome sequence was found to be the same in both phases. Heterogeneity was found at both the genomic and RNA level at position 1352.

/pdf/small-subunit-ribosomal-rna-of-blastomyces-dermatitidis-ojzoqb1zda.pdf

Small subunit ribosomal RNA of Blastomyces dermatitidis: sequence and phylogenetic analysis.

A rationalization of the effects of anti-oestrogens and oestrogens on uterine RNA synthesis in the immature rat

The invention relates to the production of new Plasmodium mutants which are defective in the expression of the protein P36p. These mutants are unable to cause malaria, yet they can be used as vaccine, giving long lasting protection against infections with wild-type Plasmodium.

Andrew P. Waters

Papers

Episomal transformation of Plasmodium berghei.

The development of and perspectives for genetic engineering of malaria parasites.

Small subunit ribosomal RNA of Blastomyces dermatitidis: sequence and phylogenetic analysis.

A rationalization of the effects of anti-oestrogens and oestrogens on uterine RNA synthesis in the immature rat

Plasmodium mutant and vaccines including the mutant