plasmodium.bib

@comment{{This file has been generated by bib2bib 1.97}}
@comment{{Command line: bib2bib ../bibli.bib -c 'subject:"plasmodium" or keywords:"plasmodium"' -ob tmp.bib}}
@article{Bozdech2004Antioxidant,
  author = {Bozdech, Z. and Ginsburg, H.},
  title = {Antioxidant defense in {P}lasmodium falciparum - data mining of the
	transcriptome},
  journal = {Malaria {J}ournal},
  year = {2004},
  volume = {3},
  pages = {23},
  number = {1},
  abstract = {The intraerythrocytic malaria parasite is under constant oxidative
	stress originating both from endogenous and exogenous processes.
	{T}he parasite is endowed with a complete network of enzymes and
	proteins that protect it from those threats, but also uses redox
	activities to regulate enzyme activities. {I}n the present analysis,
	the transcription of the genes coding for the antioxidant defense
	elements are viewed in the time-frame of the intraerythrocytic cycle.
	{T}ime-dependent transcription data were taken from the transcriptome
	of the human malaria parasite {P}lasmodium falciparum. {W}hereas
	for several processes the transcription of the many participating
	genes is coordinated, in the present case there are some outstanding
	deviations where gene products that utilize glutathione or thioredoxin
	are transcribed before the genes coding for elements that control
	the levels of those substrates are transcribed. {S}uch insights may
	hint to novel, non-classical pathways that necessitate further investigations.},
  doi = {10.1186/1475-2875-3-23},
  pdf = {../local/Bozdech2004Antioxidant.pdf},
  file = {Bozdech2004Antioxidant.pdf:local/Bozdech2004Antioxidant.pdf:PDF},
  keywords = {microarray plasmodium},
  owner = {vert},
  url = {http://www.malariajournal.com/content/3/1/23}
}
@article{Bozdech2003Transcriptome,
  author = {Bozdech, Z. and Llinas, M. and Pulliam, B. L. and Wong, E. D. and
	Zhu, J. and DeRisi, J. L.},
  title = {The {T}ranscriptome of the {I}ntraerythrocytic {D}evelopmental {C}ycle
	of {P}lasmodium falciparum },
  journal = {P{L}o{S} {B}iology},
  year = {2003},
  volume = {1},
  pages = {e5},
  number = {1},
  abstract = {Plasmodium falciparum is the causative agent of the most burdensome
	form of human malaria, affecting 200-300 million individuals per
	year worldwide. {T}he recently sequenced genome of {P}. falciparum
	revealed over 5,400 genes, of which 60{percnt} encode proteins of
	unknown function. {I}nsights into the biochemical function and regulation
	of these genes will provide the foundation for future drug and vaccine
	development efforts toward eradication of this disease. {B}y analyzing
	the complete asexual intraerythrocytic developmental cycle ({IDC})
	transcriptome of the {HB}3 strain of {P}. falciparum, we demonstrate
	that at least 60{percnt} of the genome is transcriptionally active
	during this stage. {O}ur data demonstrate that this parasite has
	evolved an extremely specialized mode of transcriptional regulation
	that produces a continuous cascade of gene expression, beginning
	with genes corresponding to general cellular processes, such as protein
	synthesis, and ending with {P}lasmodium-specific functionalities,
	such as genes involved in erythrocyte invasion. {T}he data reveal
	that genes contiguous along the chromosomes are rarely coregulated,
	while transcription from the plastid genome is highly coregulated
	and likely polycistronic. {C}omparative genomic hybridization between
	{HB}3 and the reference genome strain (3{D}7) was used to distinguish
	between genes not expressed during the {IDC} and genes not detected
	because of possible sequence variations. {G}enomic differences between
	these strains were found almost exclusively in the highly antigenic
	subtelomeric regions of chromosomes. {T}he simple cascade of gene
	regulation that directs the asexual development of {P}. falciparum
	is unprecedented in eukaryotic biology. {T}he transcriptome of the
	{IDC} resembles a "just-in-time" manufacturing process whereby induction
	of any given gene occurs once per cycle and only at a time when it
	is required. {T}hese data provide to our knowledge the first comprehensive
	view of the timing of transcription throughout the intraerythrocytic
	development of {P}. falciparum and provide a resource for the identification
	of new chemotherapeutic and vaccine candidates.},
  comment = {(JP Vert) The paper that monitors the 48h cell cycle of P. falciparum},
  doi = {10.1371/journal.pbio.0000005},
  pdf = {../local/Bozdech2003Transcriptome.pdf},
  file = {Bozdech2003Transcriptome.pdf:local/Bozdech2003Transcriptome.pdf:PDF},
  keywords = {microarray plasmodium},
  owner = {vert},
  url = {http://dx.doi.org/10.1371/journal.pbio.0000005 }
}
@article{Bozdech2003Expression,
  author = {Bozdech, Z. and Zhu, J. and Joachimiak, M. and Cohen, F. and Pulliam,
	B. and DeRisi, J.},
  title = {Expression profiling of the schizont and trophozoite stages of {P}lasmodium
	falciparum with a long-oligonucleotide microarray},
  journal = {Genome {B}iology},
  year = {2003},
  volume = {4},
  pages = {R9},
  number = {2},
  abstract = {B{ACKGROUND}:{T}he worldwide persistence of drug-resistant {P}lasmodium
	falciparum, the most lethal variety of human malaria, is a global
	health concern. {T}he {P}. falciparum sequencing project has brought
	new opportunities for identifying molecular targets for antimalarial
	drug and vaccine development.{RESULTS}:{W}e developed a software
	package, {A}rray{O}ligo{S}elector, to design an open reading frame
	({ORF})-specific {DNA} microarray using the publicly available {P}.
	falciparum genome sequence. {E}ach gene was represented by one or
	more long 70 mer oligonucleotides selected on the basis of uniqueness
	within the genome, exclusion of low-complexity sequence, balanced
	base composition and proximity to the 3' end. {A} first-generation
	microarray representing approximately 6,000 {ORF}s of the {P}. falciparum
	genome was constructed. {A}rray performance was evaluated through
	the use of control oligonucleotide sets with increasing levels of
	introduced mutations, as well as traditional northern blotting. {U}sing
	this array, we extensively characterized the gene-expression profile
	of the intraerythrocytic trophozoite and schizont stages of {P}.
	falciparum. {T}he results revealed extensive transcriptional regulation
	of genes specialized for processes specific to these two stages.{CONCLUSIONS}:{DNA}
	microarrays based on long oligonucleotides are powerful tools for
	the functional annotation and exploration of the {P}. falciparum
	genome. {E}xpression profiling of trophozoites and schizonts revealed
	genes associated with stage-specific processes and may serve as the
	basis for future drug targets and vaccine development.},
  doi = {10.1186/gb-2003-4-2-r9},
  pdf = {../local/Bozdech2003Expression.pdf},
  file = {Bozdech2003Expression.pdf:local/Bozdech2003Expression.pdf:PDF},
  keywords = {microarray plasmodium},
  owner = {vert},
  url = {http://genomebiology.com/2003/4/2/R9}
}
@article{Daily2007Distinct,
  author = {Daily, J. P. and Scanfeld, D. and Pochet, N. and Le Roch, K. and
	Plouffe, D. and Kamal, M. and Sarr, O. and Mboup, S. and Ndir, O.
	and Wypi, D.j and Levasseur, K. and Thomas, E. and Tamayo, P. and
	Dong, C. and Zhou, Y. and Lander, E. S. and Ndiaye, D. and Wirth,
	D. and Winzeler, E. A. and Mesirov, J. P. and Regev, A.},
  title = {Distinct physiological states of Plasmodium falciparum in malaria-infected
	patients},
  journal = {Nature},
  year = {2007},
  volume = {450},
  pages = {1091--1095},
  number = {7172},
  month = {Dec},
  abstract = {Infection with the malaria parasite Plasmodium falciparum leads to
	widely different clinical conditions in children, ranging from mild
	flu-like symptoms to coma and death. Despite the immense medical
	implications, the genetic and molecular basis of this diversity remains
	largely unknown. Studies of in vitro gene expression have found few
	transcriptional differences between different parasite strains. Here
	we present a large study of in vivo expression profiles of parasites
	derived directly from blood samples from infected patients. The in
	vivo expression profiles define three distinct transcriptional states.
	The biological basis of these states can be interpreted by comparison
	with an extensive compendium of expression data in the yeast Saccharomyces
	cerevisiae. The three states in vivo closely resemble, first, active
	growth based on glycolytic metabolism, second, a starvation response
	accompanied by metabolism of alternative carbon sources, and third,
	an environmental stress response. The glycolytic state is highly
	similar to the known profile of the ring stage in vitro, but the
	other states have not been observed in vitro. The results reveal
	a previously unknown physiological diversity in the in vivo biology
	of the malaria parasite, in particular evidence for a functional
	mitochondrion in the asexual-stage parasite, and indicate in vivo
	and in vitro studies to determine how this variation may affect disease
	manifestations and treatment.},
  doi = {10.1038/nature06311},
  pdf = {../local/Daily2007Distinct.pdf},
  file = {Daily2007Distinct.pdf:Daily2007Distinct.pdf:PDF},
  institution = {Department of Immunology and Infectious Disease, [Harvard School
	of Public Health, 665 Huntington Avenue, Boston, Massachusetts 02115,
	USA.},
  keywords = {plasmodium},
  owner = {jp},
  pii = {nature06311},
  pmid = {18046333},
  timestamp = {2009.04.28},
  url = {http://dx.doi.org/10.1038/nature06311}
}
@article{Doolan2003Identification,
  author = {Denise L Doolan and Scott Southwood and Daniel A Freilich and John
	Sidney and Norma L Graber and Lori Shatney and Lolita Bebris and
	Laurence Florens and Carlota Dobano and Adam A Witney and Ettore
	Appella and Stephen L Hoffman and John R Yates and Daniel J Carucci
	and Alessandro Sette},
  title = {{I}dentification of {P}lasmodium falciparum antigens by antigenic
	analysis of genomic and proteomic data.},
  journal = {Proc. Natl. Acad. Sci. U. S. A.},
  year = {2003},
  volume = {100},
  pages = {9952--9957},
  number = {17},
  month = {Aug},
  abstract = {The recent explosion in genomic sequencing has made available a wealth
	of data that can now be analyzed to identify protein antigens, potential
	targets for vaccine development. Here we present, in the context
	of Plasmodium falciparum, a strategy that rapidly identifies target
	antigens from large and complex genomes. Sixteen antigenic proteins
	recognized by volunteers immunized with radiation-attenuated P. falciparum
	sporozoites, but not by mock immunized controls, were identified.
	Several of these were more antigenic than previously identified and
	well characterized P. falciparum-derived protein antigens. The data
	suggest that immune responses to Plasmodium are dispersed on a relatively
	large number of parasite antigens. These studies have implications
	for our understanding of immunodominance and breadth of responses
	to complex pathogens.},
  doi = {10.1073/pnas.1633254100},
  pdf = {../local/Doolan2003Identification.pdf},
  file = {Doolan2003Identification.pdf:local/Doolan2003Identification.pdf:PDF},
  keywords = {plasmodium},
  pii = {1633254100},
  pmid = {12886016},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1073/pnas.1633254100}
}
@article{Florens2002proteomic,
  author = {Laurence Florens and Michael P Washburn and J. Dale Raine and Robert
	M Anthony and Munira Grainger and J. David Haynes and J. Kathleen
	Moch and Nemone Muster and John B Sacci and David L Tabb and Adam
	A Witney and Dirk Wolters and Yimin Wu and Malcolm J Gardner and
	Anthony A Holder and Robert E Sinden and John R Yates and Daniel
	J Carucci},
  title = {{A} proteomic view of the {P}lasmodium falciparum life cycle.},
  journal = {Nature},
  year = {2002},
  volume = {419},
  pages = {520--526},
  number = {6906},
  month = {Oct},
  abstract = {The completion of the Plasmodium falciparum clone 3D7 genome provides
	a basis on which to conduct comparative proteomics studies of this
	human pathogen. Here, we applied a high-throughput proteomics approach
	to identify new potential drug and vaccine targets and to better
	understand the biology of this complex protozoan parasite. We characterized
	four stages of the parasite life cycle (sporozoites, merozoites,
	trophozoites and gametocytes) by multidimensional protein identification
	technology. Functional profiling of over 2,400 proteins agreed with
	the physiology of each stage. Unexpectedly, the antigenically variant
	proteins of var and rif genes, defined as molecules on the surface
	of infected erythrocytes, were also largely expressed in sporozoites.
	The detection of chromosomal clusters encoding co-expressed proteins
	suggested a potential mechanism for controlling gene expression.},
  doi = {10.1038/nature01107},
  pdf = {../local/Florens2002proteomic.pdf},
  file = {Florens2002proteomic.pdf:local/Florens2002proteomic.pdf:PDF},
  keywords = {plasmodium},
  pii = {nature01107},
  pmid = {12368862},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1038/nature01107}
}
@article{Fraunholz2005Systems,
  author = {M. J. Fraunholz},
  title = {{S}ystems biology in malaria research.},
  journal = {Trends Parasitol.},
  year = {2005},
  volume = {21},
  pages = {393--395},
  number = {9},
  month = {Sep},
  abstract = {A recent publication of genome and expression analyses of the murine
	parasites Plasmodium chabaudi chabaudi and Plasmodium berghei presents
	the state of the art in Plasmodium systems biology. By integrating
	genomics, transcriptomics and proteomics, the authors can classify
	and annotate genes by their expression profiles and can even detect
	evidence of posttranscriptional gene silencing in the murine malaria
	species.},
  doi = {10.1016/j.pt.2005.07.007},
  pdf = {../local/Fraunholz2005Systems.pdf},
  file = {Fraunholz2005Systems.pdf:Fraunholz2005Systems.pdf:PDF},
  keywords = {plasmodium},
  pii = {S1471-4922(05)00194-7},
  pmid = {16043412},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1016/j.pt.2005.07.007}
}
@article{Gardner2002Genome,
  author = {Malcolm J Gardner and Neil Hall and Eula Fung and Owen White and
	Matthew Berriman and Richard W Hyman and Jane M Carlton and Arnab
	Pain and Karen E Nelson and Sharen Bowman and Ian T Paulsen and Keith
	James and Jonathan A Eisen and Kim Rutherford and Steven L Salzberg
	and Alister Craig and Sue Kyes and Man-Suen Chan and Vishvanath Nene
	and Shamira J Shallom and Bernard Suh and Jeremy Peterson and Sam
	Angiuoli and Mihaela Pertea and Jonathan Allen and Jeremy Selengut
	and Daniel Haft and Michael W Mather and Akhil B Vaidya and David
	M A Martin and Alan H Fairlamb and Martin J Fraunholz and David S
	Roos and Stuart A Ralph and Geoffrey I McFadden and Leda M Cummings
	and G. Mani Subramanian and Chris Mungall and J. Craig Venter and
	Daniel J Carucci and Stephen L Hoffman and Chris Newbold and Ronald
	W Davis and Claire M Fraser and Bart Barrell},
  title = {{G}enome sequence of the human malaria parasite {P}lasmodium falciparum.},
  journal = {Nature},
  year = {2002},
  volume = {419},
  pages = {498--511},
  number = {6906},
  month = {Oct},
  abstract = {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.},
  doi = {10.1038/nature01097},
  pdf = {../local/Gardner2002Genome.pdf},
  file = {Gardner2002Genome.pdf:local/Gardner2002Genome.pdf:PDF},
  keywords = {plasmodium},
  pii = {nature01097},
  pmid = {12511928},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1038/nature01097}
}
@article{Hall2005comprehensive,
  author = {Neil Hall and Marianna Karras and J. Dale Raine and Jane M Carlton
	and Taco W A Kooij and Matthew Berriman and Laurence Florens and
	Christoph S Janssen and Arnab Pain and Georges K Christophides and
	Keith James and Kim Rutherford and Barbara Harris and David Harris
	and Carol Churcher and Michael A Quail and Doug Ormond and Jon Doggett
	and Holly E Trueman and Jacqui Mendoza and Shelby L Bidwell and Marie-Adele
	Rajandream and Daniel J Carucci and John R Yates and Fotis C Kafatos
	and Chris J Janse and Bart Barrell and C. Michael R Turner and Andrew
	P Waters and Robert E Sinden},
  title = {{A} comprehensive survey of the {P}lasmodium life cycle by genomic,
	transcriptomic, and proteomic analyses.},
  journal = {Science},
  year = {2005},
  volume = {307},
  pages = {82--86},
  number = {5706},
  month = {Jan},
  abstract = {Plasmodium berghei and Plasmodium chabaudi are widely used model malaria
	species. Comparison of their genomes, integrated with proteomic and
	microarray data, with the genomes of Plasmodium falciparum and Plasmodium
	yoelii revealed a conserved core of 4500 Plasmodium genes in the
	central regions of the 14 chromosomes and highlighted genes evolving
	rapidly because of stage-specific selective pressures. Four strategies
	for gene expression are apparent during the parasites' life cycle:
	(i) housekeeping; (ii) host-related; (iii) strategy-specific related
	to invasion, asexual replication, and sexual development; and (iv)
	stage-specific. We observed posttranscriptional gene silencing through
	translational repression of messenger RNA during sexual development,
	and a 47-base 3' untranslated region motif is implicated in this
	process.},
  doi = {10.1126/science.1103717},
  pdf = {../local/Hall2005comprehensive.pdf},
  file = {Hall2005comprehensive.pdf:local/Hall2005comprehensive.pdf:PDF},
  keywords = {plasmodium},
  pii = {307/5706/82},
  pmid = {15637271},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1126/science.1103717}
}
@article{Khan2005Proteome,
  author = {Shahid M Khan and Blandine Franke-Fayard and Gunnar R Mair and Edwin
	Lasonder and Chris J Janse and Matthias Mann and Andrew P Waters},
  title = {{P}roteome analysis of separated male and female gametocytes reveals
	novel sex-specific {P}lasmodium biology.},
  journal = {Cell},
  year = {2005},
  volume = {121},
  pages = {675--687},
  number = {5},
  month = {Jun},
  abstract = {Gametocytes, the precursor cells of malaria-parasite gametes, circulate
	in the blood and are responsible for transmission from host to mosquito
	vector. The individual proteomes of male and female gametocytes were
	analyzed using mass spectrometry, following separation by flow sorting
	of transgenic parasites expressing green fluorescent protein, in
	a sex-specific manner. Promoter tagging in transgenic parasites confirmed
	the designation of stage and sex specificity of the proteins. The
	male proteome contained 36\% (236 of 650) male-specific and the female
	proteome 19\% (101 of 541) female-specific proteins, but they share
	only 69 proteins, emphasizing the diverged features of the sexes.
	Of all the malaria life-cycle stages analyzed, the male gametocyte
	has the most distinct proteome, containing many proteins involved
	in flagellar-based motility and rapid genome replication. By identification
	of gender-specific protein kinases and phosphatases and using targeted
	gene disruption of two kinases, new sex-specific regulatory pathways
	were defined.},
  doi = {10.1016/j.cell.2005.03.027},
  pdf = {../local/Khan2005Proteome.pdf},
  file = {Khan2005Proteome.pdf:local/Khan2005Proteome.pdf:PDF},
  keywords = {plasmodium},
  pii = {S0092-8674(05)00299-0},
  pmid = {15935749},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1016/j.cell.2005.03.027}
}
@article{LaCount2005protein,
  author = {Douglas J LaCount and Marissa Vignali and Rakesh Chettier and Amit
	Phansalkar and Russell Bell and Jay R Hesselberth and Lori W Schoenfeld
	and Irene Ota and Sudhir Sahasrabudhe and Cornelia Kurschner and
	Stanley Fields and Robert E Hughes},
  title = {{A} protein interaction network of the malaria parasite {P}lasmodium
	falciparum.},
  journal = {Nature},
  year = {2005},
  volume = {438},
  pages = {103--107},
  number = {7064},
  month = {Nov},
  abstract = {Plasmodium falciparum causes the most severe form of malaria and kills
	up to 2.7 million people annually. Despite the global importance
	of P. falciparum, the vast majority of its proteins have not been
	characterized experimentally. Here we identify P. falciparum protein-protein
	interactions using a high-throughput version of the yeast two-hybrid
	assay that circumvents the difficulties in expressing P. falciparum
	proteins in Saccharomyces cerevisiae. From more than 32,000 yeast
	two-hybrid screens with P. falciparum protein fragments, we identified
	2,846 unique interactions, most of which include at least one previously
	uncharacterized protein. Informatic analyses of network connectivity,
	coexpression of the genes encoding interacting fragments, and enrichment
	of specific protein domains or Gene Ontology annotations were used
	to identify groups of interacting proteins, including one implicated
	in chromatin modification, transcription, messenger RNA stability
	and ubiquitination, and another implicated in the invasion of host
	cells. These data constitute the first extensive description of the
	protein interaction network for this important human pathogen.},
  doi = {10.1038/nature04104},
  pdf = {../local/LaCount2005protein.pdf},
  file = {LaCount2005protein.pdf:local/LaCount2005protein.pdf:PDF},
  keywords = {plasmodium},
  pii = {nature04104},
  pmid = {16267556},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1038/nature04104}
}
@article{Lasonder2002Analysis,
  author = {Edwin Lasonder and Yasushi Ishihama and Jens S Andersen and Adriaan
	M W Vermunt and Arnab Pain and Robert W Sauerwein and Wijnand M C
	Eling and Neil Hall and Andrew P Waters and Hendrik G Stunnenberg
	and Matthias Mann},
  title = {{A}nalysis of the {P}lasmodium falciparum proteome by high-accuracy
	mass spectrometry.},
  journal = {Nature},
  year = {2002},
  volume = {419},
  pages = {537--542},
  number = {6906},
  month = {Oct},
  abstract = {The annotated genomes of organisms define a 'blueprint' of their possible
	gene products. Post-genome analyses attempt to confirm and modify
	the annotation and impose a sense of the spatial, temporal and developmental
	usage of genetic information by the organism. Here we describe a
	large-scale, high-accuracy (average deviation less than 0.02 Da at
	1,000 Da) mass spectrometric proteome analysis of selected stages
	of the human malaria parasite Plasmodium falciparum. The analysis
	revealed 1,289 proteins of which 714 proteins were identified in
	asexual blood stages, 931 in gametocytes and 645 in gametes. The
	last two groups provide insights into the biology of the sexual stages
	of the parasite, and include conserved, stage-specific, secreted
	and membrane-associated proteins. A subset of these proteins contain
	domains that indicate a role in cell-cell interactions, and therefore
	can be evaluated as potential components of a malaria vaccine formulation.
	We also report a set of peptides with significant matches in the
	parasite genome but not in the protein set predicted by computational
	methods.},
  doi = {10.1038/nature01111},
  pdf = {../local/Lasonder2002Analysis.pdf},
  file = {Lasonder2002Analysis.pdf:local/Lasonder2002Analysis.pdf:PDF},
  keywords = {plasmodium},
  pii = {nature01111},
  pmid = {12368862},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1038/nature01111}
}
@article{LeRoch2003Discovery,
  author = {Le Roch, K. G. and Zhou, Y. and Blair, P. L. and Grainger, M. and
	Moch, J. K. and Haynes, J. D. and De la Vega, P. and Holder, A. A.
	and Batalov, S. and Carucci, D. J. and Winzeler, E. A.},
  title = {Discovery of Gene Function by Expression Profiling of the Malaria
	Parasite Life Cycle},
  journal = {Science},
  year = {2003},
  volume = {301},
  pages = {1503-1508},
  number = {5639},
  abstract = {The completion of the genome sequence for {P}lasmodium falciparum,
	the species responsible for most malaria human deaths, has the potential
	to reveal hundreds of new drug targets and proteins involved in pathogenesis.
	{H}owever, only approximately 35% of the genes code for proteins
	with an identifiable function. {T}he absence of routine genetic tools
	for studying {P}lasmodium parasites suggests that this number is
	unlikely to change quickly if conventional serial methods are used
	to characterize encoded proteins. {H}ere, we use a high-density oligonucleotide
	array to generate expression profiles of human and mosquito stages
	of the malaria parasite's life cycle. {G}enes with highly correlated
	levels and temporal patterns of expression were often involved in
	similar functions or cellular processes.},
  doi = {10.1126/science.1087025},
  pdf = {../local/LeRoch2003Discovery.pdf},
  file = {LeRoch2003Discovery.pdf:LeRoch2003Discovery.pdf:PDF},
  keywords = {microarray plasmodium},
  owner = {vert},
  url = {http://www.sciencemag.org/cgi/content/full/301/5639/1503}
}
@article{Llinas2006Comparative,
  author = {Llin{\'a}s, M. and Bozdech, Z. and Wong, E. D. and Adai, A. T. and
	DeRisi, J. L.},
  title = {{C}omparative whole genome transcriptome analysis of three {P}lasmodium
	falciparum strains.},
  journal = {Nucleic Acids Res.},
  year = {2006},
  volume = {34},
  pages = {1166--1173},
  number = {4},
  abstract = {Gene expression patterns have been demonstrated to be highly variable
	between similar cell types, for example lab strains and wild strains
	of Saccharomyces cerevisiae cultured under identical growth conditions
	exhibit a wide range of expression differences. We have used a genome-wide
	approach to characterize transcriptional differences between strains
	of Plasmodium falciparum by characterizing the transcriptome of the
	48 h intraerythrocytic developmental cycle (IDC) for two strains,
	3D7 and Dd2 and compared these results to our prior work using the
	HB3 strain. These three strains originate from geographically diverse
	locations and possess distinct drug sensitivity phenotypes. Our goal
	was to identify transcriptional differences related to phenotypic
	properties of these strains including immune evasion and drug sensitivity.
	We find that the highly streamlined transcriptome is remarkably well
	conserved among all three strains, and differences in gene expression
	occur mainly in genes coding for surface antigens involved in parasite-host
	interactions. Our analysis also detects several transcripts that
	are unique to individual strains as well as identifying large chromosomal
	deletions and highly polymorphic regions across strains. The majority
	of these genes are uncharacterized and have no homology to other
	species. These tractable transcriptional differences provide important
	phenotypes for these otherwise highly related strains of Plasmodium.},
  doi = {10.1093/nar/gkj517},
  keywords = {plasmodium},
  pii = {34/4/1166},
  pmid = {16493140},
  timestamp = {2007.10.04},
  url = {http://dx.doi.org/10.1093/nar/gkj517}
}
@article{Puijalon2004Malaria,
  author = {O. Mercereau-Puijalon},
  title = {Malaria research in the post-genomic era},
  journal = {J. Soc. Biol.},
  year = {2004},
  volume = {198},
  pages = {193--197},
  number = {3},
  abstract = {Genomic sequence determination of Plasmodium falciparum and other
	species of the genus, as well as that of Anopheles gambiae, and human,
	rat and mouse genome sequencing have completely changed the landscape
	of fundamental research about malaria. These data should urgently
	be exploited, in order to develop new tools to combat the disease:
	new drugs, fine dissection of the cascade of events following infection
	of the various vector species and vertebrate host, analysis of the
	complex interaction leading to the pathology or, inversely, contributing
	to sustained protection. Powerful population biology tools are now
	available, allowing to investigate genetic exchanges within natural
	population and to identify factors structuring parasitic and vector
	populations. Nevertheless, important impediments persist, including
	the complexity of experimental systems and the unclear relevance
	of animals models. Numerous challenges are to be faced; they call
	upon a more efficient organisation of research efforts in the systematic
	explorations using the powerful novel post-genomic technologies,
	as well as the development of new tools and experimental models required
	by functional genomics and integrative biology.},
  keywords = {plasmodium},
  pmid = {15662935},
  timestamp = {2006.04.13}
}
@article{Shock2007Whole-genome,
  author = {Shock, J. L. and Fischer, K. F. and DeRisi, J. L.},
  title = {Whole-genome analysis of mRNA decay in Plasmodium falciparum reveals
	a global lengthening of mRNA half-life during the intra-erythrocytic
	development cycle.},
  journal = {Genome Biol.},
  year = {2007},
  volume = {8},
  pages = {R134},
  number = {7},
  abstract = {BACKGROUND: The rate of mRNA decay is an essential element of post-transcriptional
	regulation in all organisms. Previously, studies in several organisms
	found that the specific half-life of each mRNA is precisely related
	to its physiologic role, and plays an important role in determining
	levels of gene expression. RESULTS: We used a genome-wide approach
	to characterize mRNA decay in Plasmodium falciparum. We found that,
	globally, rates of mRNA decay increase dramatically during the asexual
	intra-erythrocytic developmental cycle. During the ring stage of
	the cycle, the average mRNA half-life was 9.5 min, but this was extended
	to an average of 65 min during the late schizont stage of development.
	Thus, a major determinant of mRNA decay rate appears to be linked
	to the stage of intra-erythrocytic development. Furthermore, we found
	specific variations in decay patterns superimposed upon the dominant
	trend of progressive half-life lengthening. These variations in decay
	pattern were frequently enriched for genes with specific cellular
	functions or processes. CONCLUSION: Elucidation of Plasmodium mRNA
	decay rates provides a key element for deciphering mechanisms of
	genetic control in this parasite, by complementing and extending
	previous mRNA abundance studies. Our results indicate that progressive
	stage-dependent decreases in mRNA decay rate function are a major
	determinant of mRNA accumulation during the schizont stage of intra-erythrocytic
	development. This type of genome-wide change in mRNA decay rate has
	not been observed in any other organism to date, and indicates that
	post-transcriptional regulation may be the dominant mechanism of
	gene regulation in P. falciparum.},
  doi = {10.1186/gb-2007-8-7-r134},
  institution = {Department of Biochemistry and Biophysics, University of California
	San Francisco, 1700 4th Street, San Francisco, California 94158-2330,
	USA.},
  keywords = {plasmodium},
  owner = {jp},
  pii = {gb-2007-8-7-r134},
  pmid = {17612404},
  timestamp = {2009.01.21},
  url = {http://dx.doi.org/10.1186/gb-2007-8-7-r134}
}
@article{Sinden2004proteomic,
  author = {R. E. Sinden},
  title = {A proteomic analysis of malaria biology: integration of old literature
	and new technologies.},
  journal = {Int. J. Parasitol.},
  year = {2004},
  volume = {34},
  pages = {1441--1450},
  number = {13-14},
  month = {Dec},
  abstract = {The genomic revolution has brought a new vitality into research on
	Plasmodium, its insect and vertebrate hosts. At the cellular level
	nowhere is the impact greater than in the analysis of protein expression
	and the 'assembly' of the supramolecular machines that together comprise
	the functional cell. The repetitive phases of invasion and replication
	that typify the malaria life cycle, together with the unique phase
	of sexual differentiation provide a powerful platform on which to
	investigate the 'molecular machines' that underpin parasite strategy
	and stage-specific functions. This approach is illustrated here in
	an analysis of the ookinete of Plasmodium berghei. Such analyses
	are useful only if conducted with a secure understanding of parasite
	biology. The importance of carefully searching the older literature
	to reach this understanding cannot be over-emphasised. When viewed
	together, the old and new data can give rapid and penetrating insights
	into what some might now term the 'Systems-Biology' of Plasmodium.},
  doi = {10.1016/j.ijpara.2004.10.005},
  pdf = {../local/Sinden2004proteomic.pdf},
  file = {Sinden2004proteomic.pdf:local/Sinden2004proteomic.pdf:PDF},
  keywords = {plasmodium},
  pii = {S0020-7519(04)00210-3},
  pmid = {15582521},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1016/j.ijpara.2004.10.005}
}
@article{Winzeler2006Applied,
  author = {E. A Winzeler},
  title = {{A}pplied systems biology and malaria.},
  journal = {Nat. Rev. Microbiol.},
  year = {2006},
  volume = {4},
  pages = {145--151},
  number = {2},
  month = {Feb},
  abstract = {One of the goals of systems-biology research is to discover networks
	and interactions by integrating diverse data sets. So far, systems-biology
	research has focused on model organisms, which are well characterized
	and therefore suited to testing new methods. Systems biology has
	great potential for use in the search for therapies for disease.
	Here, the potential of systems-biology approaches in the search for
	new drugs and vaccines to treat malaria is examined.},
  doi = {10.1038/nrmicro1327},
  pdf = {../local/Winzeler2006Applied.pdf},
  file = {Winzeler2006Applied.pdf:local/Winzeler2006Applied.pdf:PDF},
  keywords = {plasmodium},
  pii = {nrmicro1327},
  pmid = {16362033},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1038/nrmicro1327}
}
@article{Young2005Plasmodium,
  author = {Jason A Young and Quinton L Fivelman and Peter L Blair and Patricia
	de la Vega and Karine G Le Roch and Yingyao Zhou and Daniel J Carucci
	and David A Baker and Elizabeth A Winzeler},
  title = {{T}he {P}lasmodium falciparum sexual development transcriptome: a
	microarray analysis using ontology-based pattern identification.},
  journal = {Mol. Biochem. Parasitol.},
  year = {2005},
  volume = {143},
  pages = {67--79},
  number = {1},
  month = {Sep},
  abstract = {The sexual stages of malarial parasites are essential for the mosquito
	transmission of the disease and therefore are the focus of transmission-blocking
	drug and vaccine development. In order to better understand genes
	important to the sexual development process, the transcriptomes of
	high-purity stage I-V Plasmodium falciparum gametocytes were comprehensively
	profiled using a full-genome high-density oligonucleotide microarray.
	The interpretation of this transcriptional data was aided by applying
	a novel knowledge-based data-mining algorithm termed ontology-based
	pattern identification (OPI) using current information regarding
	known sexual stage genes as a guide. This analysis resulted in the
	identification of a sexual development cluster containing 246 genes,
	of which approximately 75\% were hypothetical, exhibiting highly-correlated,
	gametocyte-specific expression patterns. Inspection of the upstream
	promoter regions of these 246 genes revealed putative cis-regulatory
	elements for sexual development transcriptional control mechanisms.
	Furthermore, OPI analysis was extended using current annotations
	provided by the Gene Ontology Consortium to identify 380 statistically
	significant clusters containing genes with expression patterns characteristic
	of various biological processes, cellular components, and molecular
	functions. Collectively, these results, available as part of a web-accessible
	OPI database (http://carrier.gnf.org/publications/Gametocyte), shed
	light on the components of molecular mechanisms underlying parasite
	sexual development and other areas of malarial parasite biology.},
  doi = {10.1016/j.molbiopara.2005.05.007},
  pdf = {../local/Young2005Plasmodium.pdf},
  file = {Young2005Plasmodium.pdf:local/Young2005Plasmodium.pdf:PDF},
  keywords = {plasmodium},
  pii = {S0166-6851(05)00162-3},
  pmid = {16005087},
  timestamp = {2006.04.13},
  url = {http://dx.doi.org/10.1016/j.molbiopara.2005.05.007}
}
@article{Young2005Using,
  author = {J. A. Young and E. A. Winzeler},
  title = {{U}sing expression information to discover new drug and vaccine targets
	in the malaria parasite {P}lasmodium falciparum.},
  journal = {Pharmacogenomics},
  year = {2005},
  volume = {6},
  pages = {17--26},
  number = {1},
  month = {Jan},
  abstract = {The recent completion of the malaria parasite Plasmodium falciparum
	genome has opened the door for applying a variety of genomic-based
	systems biology approaches that complement existing gene-by-gene
	methods of investigation. Transcriptomic analyses of P.falciparum
	using DNA microarrays has allowed for the rapid elucidation of gene
	function, parasite drug response, and invivo expression profiles,
	as well as general mechanisms guiding the parasite life cycle that
	are vital to disease pathogenesis. The results of these studies have
	identified promising novel gene targets for the development of new
	drug and vaccine therapies.},
  keywords = {plasmodium},
  pii = {PGS060105},
  pmid = {15723602},
  timestamp = {2006.04.13}
}
@comment{{jabref-meta: selector_author:}}
@comment{{jabref-meta: selector_journal:Adv. Drug Deliv. Rev.;Am. J. Hu
m. Genet.;Am. J. Pathol.;Ann. Appl. Stat.;Ann. Math. Statist.;Ann. N. 
Y. Acad. Sci.;Ann. Probab.;Ann. Stat.;Artif. Intell. Med.;Bernoulli;Bi
ochim. Biophys. Acta;Bioinformatics;Biometrika;BMC Bioinformatics;Br. 
J. Pharmacol.;Breast Cancer Res.;Cell;Cell. Signal.;Chem. Res. Toxicol
.;Clin. Cancer Res.;Combinator. Probab. Comput.;Comm. Pure Appl. Math.
;Comput. Chem.;Comput. Comm. Rev.;Comput. Stat. Data An.;Curr. Genom.;
Curr. Opin. Chem. Biol.;Curr. Opin. Drug Discov. Devel.;Data Min. Know
l. Discov.;Electron. J. Statist.;Eur. J. Hum. Genet.;FEBS Lett.;Found.
 Comput. Math.;Genome Biol.;IEEE T. Neural Networ.;IEEE T. Pattern. An
al.;IEEE T. Signal. Proces.;IEEE Trans. Inform. Theory;IEEE Trans. Kno
wl. Data Eng.;IEEE/ACM Trans. Comput. Biol. Bioinf.;Int. J. Comput. Vi
sion;Int. J. Data Min. Bioinform.;Int. J. Qantum Chem.;J Biol Syst;J. 
ACM;J. Am. Soc. Inf. Sci. Technol.;J. Am. Stat. Assoc.;J. Bioinform. C
omput. Biol.;J. Biol. Chem.;J. Biomed. Inform.;J. Cell. Biochem.;J. Ch
em. Inf. Comput. Sci.;J. Chem. Inf. Model.;J. Clin. Oncol.;J. Comput. 
Biol.;J. Comput. Graph. Stat.;J. Eur. Math. Soc.;J. Intell. Inform. Sy
st.;J. Mach. Learn. Res.;J. Med. Chem.;J. Mol. BIol.;J. R. Stat. Soc. 
Ser. B;Journal of Statistical Planning and Inference;Mach. Learn.;Math
. Program.;Meth. Enzymol.;Mol. Biol. Cell;Mol. Biol. Evol.;Mol. Cell. 
Biol.;Mol. Syst. Biol.;N. Engl. J. Med.;Nat. Biotechnol.;Nat. Genet.;N
at. Med.;Nat. Methods;Nat. Rev. Cancer;Nat. Rev. Drug Discov.;Nat. Rev
. Genet.;Nature;Neural Comput.;Neural Network.;Neurocomputing;Nucleic 
Acids Res.;Pattern Anal. Appl.;Pattern Recognit.;Phys. Rev. E;Phys. Re
v. Lett.;PLoS Biology;PLoS Comput. Biol.;Probab. Theory Relat. Fields;
Proc. IEEE;Proc. Natl. Acad. Sci. USA;Protein Eng.;Protein Eng. Des. S
el.;Protein Sci.;Protein. Struct. Funct. Genet.;Random Struct. Algorit
hm.;Rev. Mod. Phys.;Science;Stat. Probab. Lett.;Statistica Sinica;Theo
r. Comput. Sci.;Trans. Am. Math. Soc.;Trends Genet.;}}
@comment{{jabref-meta: selector_keywords:biogm;biosvm;breastcancer;cgh;
chemogenomics;chemoinformatics;csbcbook;csbcbook-ch1;csbcbook-ch2;csbc
book-ch3;csbcbook-ch4;csbcbook-ch5;csbcbook-ch6;csbcbook-ch7;csbcbook-
ch8;csbcbook-ch9;csbcbook-mustread;dimred;featureselection;glycans;her
g;hic;highcontentscreening;image;immunoinformatics;kernel-theory;kerne
lbook;lasso;microarray;ngs;nlp;plasmodium;proteomics;PUlearning;rnaseq
;segmentation;sirna;}}
@comment{{jabref-meta: selector_booktitle:Adv. Neural. Inform. Process 
Syst.;}}

This file was generated by bibtex2html 1.97.