- Research article
- Open Access
Transcriptional signatures of BALB/c mouse macrophages housing multiplying Leishmania amazonensis amastigotes
- José Osorio y Fortéa1,
- Emilie de La Llave1,
- Béatrice Regnault2,
- Jean-Yves Coppée2,
- Geneviève Milon1,
- Thierry Lang†1 and
- Eric Prina†1Email author
© Fortéa et al; licensee BioMed Central Ltd. 2009
- Received: 27 August 2008
- Accepted: 20 March 2009
- Published: 20 March 2009
Mammal macrophages (MΦ) display a wide range of functions which contribute to surveying and maintaining tissue integrity. One such function is phagocytosis, a process known to be subverted by parasites like Leishmania (L). Indeed, the intracellular development of L. amazonensis amastigote relies on the biogenesis and dynamic remodelling of a phagolysosome, termed the parasitophorous vacuole, primarily within dermal MΦ.
Using BALB/c mouse bone marrow-derived MΦ loaded or not with amastigotes, we analyzed the transcriptional signatures of MΦ 24 h later, when the amastigote population was growing. Total RNA from MΦ cultures were processed and hybridized onto Affymetrix Mouse430_2 GeneChips®, and some transcripts were also analyzed by Real-Time quantitative PCR (RTQPCR). A total of 1,248 probe-sets showed significant differential expression. Comparable fold-change values were obtained between the Affymetrix technology and the RTQPCR method. Ingenuity Pathway Analysis software® pinpointed the up-regulation of the sterol biosynthesis pathway (p-value = 1.31e-02) involving several genes (1.95 to 4.30 fold change values), and the modulation of various genes involved in polyamine synthesis and in pro/counter-inflammatory signalling.
Our findings suggest that the amastigote growth relies on early coordinated gene expression of the MΦ lipid and polyamine pathways. Moreover, these MΦ hosting multiplying L. amazonensis amastigotes display a transcriptional profile biased towards parasite-and host tissue-protective processes.
- Real Time Quantitative Polymerase Chain Reaction
- Cutaneous Leishmaniasis
- Parasitophorous Vacuole
- Ingenuity Pathway Analysis Software
L. amazonensis are protozoan parasites belonging to the trypanosomatidae family. In natural settings, the L. amazonensis perpetuation relies on blood-feeding sand fly and rodent hosts. The development of promastigotes proceeds within the gut lumen of the sand fly hosts and ends with metacyclic promastigotes. The latter, once delivered into the mammal dermis, differentiate as amastigotes mainly within the resident dermal macrophage (MΦ) acting as bona fide host cells. Following the parasite inoculation and before the development of the more or less transient skin damages that characterize cutaneous leishmaniasis there is an asymptomatic phase lasting for several days or weeks during which the intracellular amastigote progeny expands. This expansion takes place within a compartment named parasitophorous vacuole (PV) that displays properties similar to late endosomes/lysosomes and the size of which grows significantly for Leishmania belonging to the mexicana complex [1, 2]. In this study we sought to analyze the transcriptional signatures of a homogeneous population of MΦ derived in vitro from BALB/c mouse bone marrow CSF-1 dependent progenitors and hosting amastigotes that are actively multiplying. The Affymetrix GeneChip technology was used to compare the gene expression profiles of L. amazonensis amastigotes-hosting bone marrow-derived MΦ and parasite-free ones. This in vitro transcriptomics approach was combined with the Ingenuity biological network analysis to highlight the mouse MΦ biological processes the multiplying L. amazonensis amastigotes rely on within their giant communal PV. Our findings suggest that MΦ hosting multiplying amastigotes contribute to carve a parasite-as well as a host tissue-protective environment.
List of differentially expressed genes between L. amazonensis-harbouring MΦ and parasite-free MΦ.
ATP-binding cassette, sub-family D (ALD), member 2
acetyl-Coenzyme A carboxylase alpha
acyl-CoA synthetase long-chain family member 3
alcohol dehydrogenase, iron containing, 1
aldo-keto reductase family 1, member A1 (aldehyde reductase)
aldolase 1, A isoform
aldolase 3, C isoform
activating transcription factor 1
activating transcription factor 3
ATPase, H+ transporting, lysosomal V0 subunit a isoform 1
ATPase, H+ transporting, V0 subunit C
ATPase, H+ transporting, V0 subunit D, isoform 2
ATPase, H+ transporting, V1 subunit A1
ATPase, H+ transporting, V1 subunit C, isoform 1
ATPase, H+ transporting, V1 subunit D
ATPase, H+ transporting, V1 subunit G isoform 1
ATPase, H+ transporting, lysosomal, V1 subunit H
antizyme inhibitor 1
bromodomain containing 8
complement component 1, q subcomponent, alpha polypeptide
complement component 1, q subcomponent, beta polypeptide
complement component 3
complement component 4 (within H-2S)
complement component 5a receptor 1
chemokine (C-C motif) receptor 2
chemokine (C-C motif) receptor 3
complement component factor h
FBJ osteosarcoma oncogene
chemokine-like receptor 1
chemokine (C-X3-C) receptor 1
cytochrome P450, family 51
deiodinase, iodothyronine, type II
enolase 2, gamma neuronal
fatty acid binding protein 3
fatty acid binding protein 4
fatty acid binding protein 5
fructose bisphosphatase 1
farnesyl diphosphate farnesyl transferase 1
farnesyl diphosphate synthetase
histocompatibility 2, class II, locus DMa
3-hydroxy-3-methylglutaryl-Coenzyme A reductase
3-hydroxy-3-methylglutaryl-Coenzyme A synthase 1
hydroxysteroid (17-beta) dehydrogenase 7
intercellular adhesion molecule
intercellular adhesion molecule 2
isopentenyl-diphosphate delta isomerase
interferon gamma receptor 1
interleukin 10 receptor, alpha
interleukin 11 receptor, alpha chain 1
interleukin 17 receptor B
interleukin 1 beta
interleukin 1 receptor antagonist
insulin induced gene 1
integrin alpha 4
integrin alpha L
killer cell lectin-like receptor subfamily K, member 1
lactate dehydrogenase 1, A chain
low density lipoprotein receptor
lipase, hormone sensitive
monoamine oxidase A
mitogen activated protein kinase 14 (p38 mapk)
mevalonate (diphospho) decarboxylase
nuclear receptor coactivator 4
nuclear factor of kappa light chain gene enhancer in B-cells inhibitor, alpha
nitric oxide synthase 2, inducible, macrophage
Ornithine decarboxylase 1
procollagen-proline, 2-oxoglutarate 4-dioxygenase (proline 4-hydroxylase), α II polypeptide
phosphofructokinase, liver, B-type
phosphoglycerate kinase 1
pyruvate kinase, muscle
phosphatidic acid phosphatase type 2B
protein S (alpha)
avian reticuloendotheliosis viral (v-rel) oncogene related B
spermidine/spermine N1-acetyl transferase 1
sterol-C5-desaturase (fungal ERG3, delta-5-desaturase) homolog (S. cerevisae)
stearoyl-Coenzyme A desaturase 1
stearoyl-Coenzyme A desaturase 2
serine (or cysteine) peptidase inhibitor, clade G, member 1
solute carrier family 7 (cationic amino acid transporter, y+ system), member 2
suppressor of cytokine signaling 6
sterol regulatory element binding factor 2
StAR-related lipid transfer (START) domain containing 4
toll-like receptor 2
toll-like receptor 7
toll-like receptor 8
toll interacting protein
Though transcriptional changes due to the phagocytic uptake process per se – known to occur mostly within the first 2 hours post particle addition – cannot be completely excluded, the MΦ transcript modulation – detected at 24 h post the amastigote addition – very likely reflects MΦ reprogramming due to the presence of cell cycling amastigotes within giant PV. Indeed, in our experimental conditions, no extracellular amastigotes could be evidenced in the MΦ culture (a) after a brief centrifugation step and (b) one hour contact with adherent MΦ indicating that the phagocytic uptake of L. amazonensis amastigotes is a rapid and efficient process. Furthermore, it is worth mentioning that the size of the amastigote population hosted within the MΦ PV rapidly expands within the first 24 h (Fig. 1A) . Using also mouse bone marrow-derived MΦ as host cells for Leishmania, Gregory and coworkers demonstrated that the gene expression profiles of control MΦ and MΦ that have phagocytosed latex beads 24 h before were very similar. They evidenced a statistically significant difference for only 15 probe sets. None of the 29 corresponding probe sets in the mouse 430 DNA Affymetrix gene chip was present in the list of 1248 modulated probe sets observed in presence of L. amazonensis amastigotes. Thus, these data strongly support our conclusion that the gene expression profile observed 24 h after the phagocytosis of L. amazonensis amastigotes was due to the presence of intracellular cell-cycling parasites.
L. amazonensis amastigotes set up an optimal sub cellular niche
Modulation of MΦ genes encoding vacuolar proton ATPase sub-units
Within their host cells, L. amazonensis amastigotes are known to multiply efficiently in the acidic environment of the MΦ PV . In presence of amastigotes, we observed an up-regulation of the gene expression of eight isoforms of the V0 and V1 sub-units of the MΦ vacuolar proton ATPase (atp6V0a1, atp6V0c, atp6V0d2, atp6V1a, atp6V1c1, atp6V1d, atp6V1g1 and atp6V1h: +1.27 < FC < +2.32) . This could contribute to the sustained acidification of the PV lumen which has been shown to be important at least for the optimal amastigote nutrient acquisition [6, 7].
Coordinated modulation of MΦ lipid metabolism
The expression of several genes involved in the fatty acid biosynthesis pathway was also up-regulated with the modulation of ppap2b (+ 8.53), scd1 (+ 2.68), scd2 (+ 2.45) and acsl3 (+ 2.09). Moreover, genes encoding fatty acid binding proteins that play a role in fatty acid uptake and transport were up-regulated (fabp3: + 2.29, fabp4: + 6.42 and fabp5: + 1.57). Extracellular lipolysis was down-modulated (lipe: -2.20, lpl: -1.44 and apoc2: -1.63), while intracellular catabolism of triglycerides mediated via mgll was up-regulated (+ 3.40). Fatty acid transport to peroxisome was diminished with abcd2 down-modulation (-2.11). Since this was not described neither for L. major nor L. donovani , this could be unique for the L. mexicana complex, all sub-species of which multiply within giant communal PV . Indeed, previous experimental work performed with L. mexicana [12, 13], which is very close to L. amazonensis (both share the same distinctive feature to multiply within a communal PV), has shown that amastigotes could take advantage of the MΦ sterol biosynthesis pathway to produce ergosterol.
These data were in agreement with the sterol biosynthesis machinery of the MΦ host cell being exploited by the cell-cycling amastigotes for both their own cell membrane sterols, in particular ergosterol and the PV membrane sterol-dependent remodelling. Indeed, cholesterol availability might play a role in the formation of the PV lipid rafts  that could be involved in the control of fusion events leading to the sustained remodelling of the huge communal PV membrane where the aforementioned proton pump components are regularly delivered.
Modulation of MΦ polyamine metabolism
ODC1-antizyme plays a role in the regulation of polyamine synthesis by binding to and inhibiting ODC1. The transcript abundance of azin1 encoding ODC1-antizyme inhibitor-1 was higher (+ 1.96) when amastigotes were present, so that this inhibitor might prevent antizyme-mediated ODC1 degradation. Of note, ornithine could also be generated from proline by p4ha2 (+ 2.27), and putrescine from spermine and spermidine by the successive action of sat1 (+ 1.47) and maoa (+ 2.56). Spermidine synthase (srm) and spermine synthase (sms), two enzymes catalyzing the reverse reactions leading to the formation of spermine from putrescine, were not detected with Affymetrix (5% threshold), although their transcript abundance decreased in presence of amastigotes (-1.22 and -1.38, respectively; see Additional file 1). No gene expression modulation was detected with Affymetrix for nos2 (5% threshold) that encodes a competing enzyme for arginine substrate leading to the production of microbe-targeting nitric oxide derivatives (fluorescence intensity was below the background level, see Additional file 1), and only a slight up-regulation was detected with RTQPCR (+ 1.28) (Table 1). The present data further extend former observations [15, 16], and highlight a coordinated gene expression modulation that sustains a metabolic flux leading to the biosynthesis of putrescine from arginine and proline via ornithine, and from spermine and spermidine.
L. amazonensis amastigotes set up an optimal dermis niche
Decreased expression of genes involved in the entry of non leishmanial micro-organisms as well as in the sensing and processing of microbial molecules
Several genes involved in classical and alternate complement component pathways were down-regulated (c1qa, c1qb, serping1, c3, c4b, cfh, c5ar1 and pros1: -2.80 < FC < -1.35) as well as some genes of the Toll-like receptor signalling pathway (tlr2, tlr7, tlr8, cd14, mapk14, c-fos and nfkbia: -3.11 < FC < -1.61. Furthermore, the negative regulator tollip also was up-regulated (+ 1.69). These pathways are known to contribute to the entry of micro-organisms and the sensing/processing of microbial molecules. In presence of the intracellular cell-cycling amastigotes these biological processes would be restricted, if not prevented. Indeed, it is conceivable that non-Leishmania micro-organisms or microbial molecules might trigger a different MΦ transcriptional program that could interfere with the one already set up by L. amazonensis amastigotes for their multiplication. Nevertheless, it has recently been demonstrated that the other L. amazonensis developmental stage, the promastigote, was still able to enter MΦ already hosting amastigotes, to transform into amastigote and to multiply efficiently within the PV .
The above data suggested that L. amazonensis amastigotes were able to control MΦ expression of the early complement components, the proteolytic products of which are known to be pro-inflammatory. This complement component pathway down-modulation was also recently described for human MΦ housing L. major parasites . The down-modulation of the Toll-like receptor pathway also suggested prevention of the inflammatory process signalling. At this stage, although some anti-inflammatory genes were not up-modulated (il10: -2.97 and il10ra: -2.16) the gene expression modulation for the majority of the listed genes involved in inflammatory processes showed that the presence of cell-cycling amastigotes imposed an immune unbalance favouring the shaping of a counter-inflammatory and safe dermis niche for these parasites (il1rn, il1b, il11ra1, il17rb, il18, socs6, cd200, nfkbia, relB, c-fos and anxA1, an inhibitor of phospholipase A2 mediated-inflammation: 1.41 < | FC | < 4.19).
Decreased expression of genes involved in the chemokine-dependent MΦ traffic
The down-modulation of the expression of genes encoding chemokine receptors (ccr2, ccr3, cx3cr1 and cmklr1: -2.65 < FC < -1.83) suggested that amastigote-harbouring MΦ were less responsive to chemo-attractant gradients and thus less amenable to enter into the afferent lymphatics. This is consistent with the dominant residence of L. amazonensis-hosting MΦ in the skin. In favour of this possible reduced emigration of MΦ from the dermis niche was the down-regulation of itga4 (-2.06) encoding an integrin shown to contribute to the lymphatic adhesion/transmigration . It is beyond the scope of this article to discuss about more than a dozen of chemokine receptor ligands the gene expression of which was modulated (see Additional file 1). Indeed, the interpretation is not that straightforward because of the complexity of their partial overlapping functions and/or common receptors.
Decreased expression of genes involved in the cellular communication with leukocytes prone to display parasite-damaging functions
The modulation of several transcripts indicated a prevention of MΦ communication with leukocytes that could be rapidly recruited such as NK lymphocytes, and T-lymphocytes. For instance, H60 is one of the ligand able to efficiently activate NK-lymphocytes by binding to the NKG2D receptor (encoded by klrk1). In presence of amastigotes, the h60 MΦ expression was down-modulated (-2.07), suggesting the prevention of this "immune synapse" by which parasitized MΦ and NK lymphocytes can communicate. Interestingly, NKG2D receptor engagement by H60 ligand in MΦ, that normally leads to the production of MΦ leishmanicidal molecules such as NO and TNF-α , could be impaired in MΦ hosting amastigotes since the expression of klrk1 gene was also down-modulated (-1.72). Besides, the gene expression of the co-stimulatory molecule CD86 was reduced (-1.83), while that of the inhibitory receptor CD274 (also referred to as B7-H1) was increased (+ 1.93). In addition, the transcript abundance of the co-stimulatory molecules ICAM1 (-1.75), ICAM2 (-1.85) and LFA-1 (or integrin-alpha L, – 2.0) was also reduced. The down-modulation of several genes involved in antigen presentation by MHC class II molecules was recently discussed for human MΦ housing L. major parasites . This data suggested plausible reduced effectiveness of this other "immune synapse" involving TCR-dependent signalling by which MΦ and T-lymphocytes can communicate. Consistent with this was the reduced transcription level in MΦ hosting L. amazonensis amastigotes of h-2ma (-1.88) and of ifngr1 (-1.83 FC) that encodes the receptor for IFNγ, a cytokine secreted by both activated NK- and T-lymphocytes and involved upstream the MHC class II gene up-regulation.
The Affymetrix GeneChip technology has allowed – for many cell lineages – the global analysis of several thousand transcripts simultaneously to be carried out in a robust fashion . The remarkable coordination of gene expression as well as coherent biological interaction networks displayed by MΦ subverted as host cells by the multiplying L. amazonensis amastigotes allow highlighting the power of this technology at two different levels: (a) the amastigote-hosting MΦ transcriptional features per se and (b) the features of MΦ hosting cell-cycling amastigotes which would have been captured within the dermal environment. Further in vivo quantitative analysis will have to be set up for validating or not the present transcriptional profile at early stage after the first wave of amastigote multiplication in the ear dermis of naïve BALB/c mice. Overall, the gene expression profile of MΦ hosting amastigotes did not strictly fall into either of the MΦ "activation" profiles, as it was also the case for L. chagasi . Nevertheless, consistent with the multiplication of the amastigote developmental stage, some overlap with features of the alternative MΦ activation could be observed, such as the up-regulation of arg2 and il1rn, and the down-regulation of cd14 (-1.73 FC).
In addition to the conversion of the MΦ arginine metabolism from a parasite-damaging pathway to a parasite-supportive one, the most clear-cut and novel output of the present analysis was the up-regulation of the MΦ fatty acid biosynthesis pathway. Coupled to the polyamine biosynthesis the MΦ lipids could not only be a source of nutrients for the amastigotes but could also contribute to the PV unique membrane features [2, 23]. Lipids could not only influence the PV membrane curvature but also coordinate the recruitment and retention of key protein export to the PV where multiplying amastigotes are known to be attached . This makes it conceivable that the multiplying amastigotes could take up trophic resources and sense non-trophic signals.
We have highlighted a promising set of transcripts accounting for the BALB/c mouse macrophage reprogrammed as cell-cycling amastigote hosting cells. We do not ignore that transcript modulation changes revealed by microarray analysis could be uncoupled to changes revealed by proteomic and phosphoproteomic analysis. We did not explore how these mRNA changes manifest at the level of the proteome but the present genomewide data will provide a unique resource (a) against which to compare any proteomic/phosphoproteomic data (b) to allow identifying novel small compounds displaying static or cidal activity towards cell-cycling amastigotes hosted within the macrophage PV. Indeed the readout assay we designed allows high content imaging in real time of (a) the amastigotes (b) the amastigotes-hosting PV as well as the macrophages per se  and can be up-scaled for high throughput screening of small compound libraries.
Mice, MΦ and amastigotes
Swiss nu/nu and BALB/c mice were used (following National Scientific Ethics Committee guidelines) for L. amazonensis (LV79, MPRO/BR/1972/M1841) amastigote propagation and bone marrow-derived MΦ preparation, respectively. Four amastigotes per MΦ were added. Parasite-harbouring MΦ (>98%) and parasite-free ones were cultured at 34°C either for 24 h for transcriptomic studies or for different time periods for microscopy analyses .
Kinetic study of the intracellular amastigote population size
At different time points post amastigote addition, MΦ cultures were processed for immunofluorescence and phase contrast microscopy. Briefly, MΦ cultures on coverslips were fixed, permeabilized, incubated with the amastigote-specific mAb 2A3.26 and Texas Red-labelled conjugate, stained with Hoechst 33342 and mounted in Mowiol for observation under an inverted microscope as previously described . Ratios of amastigotes per MΦ (between 200 and 700 MΦ nuclei being counted) were calculated and expressed as mean numbers of amastigotes per MΦ at each time point.
GeneChip hybridization and data analysis
Total RNA were extracted from MΦ (RNeasy+ Mini-Kit, Qiagen), their quality control (QC) and concentration were determined using NanoDrop ND-1000 micro-spectrophotometer and their integrity was assessed  using Agilent-2100 Bioanalyzer (RNA Integrity Numbers ≥ 9). Hybridizations were performed following the Affymetrix protocol http://www.affymetrix.com/support/downloads/manuals/expression_analysis_technical_manual.pdf. MIAME-compliant data are available through ArrayExpress and GEO databases http://www.ebi.ac.uk/microarray-as/ae/, accession: E-MEXP-1595; http://0-www.ncbi.nlm.nih.gov.brum.beds.ac.uk/projects/geo/, accession: GSE11497). Based on AffyGCQC program QC assessment , hybridizations of biological duplicates were retained for downstream analysis. Raw data were pre-processed to obtain expression values using GC-RMA algorithm . Unreliable probe-sets called "absent" by Affymetrix GCOS software http://www.affymetrix.com/support/downloads/manuals/data_analysis_fundamentals_manual.pdf for at least 3 GeneChips out of 4 were discarded, as well as probe-sets called "absent" once within samples plus once within controls. LPE tests  were performed to identify significant differences in gene expression between parasite-free and parasite-harbouring MΦ. Benjamini-Hochberg (BH) multiple-test correction  was applied to control for the number of false positives with an adjusted 5% statistical significance threshold. A total of 1,248 probe-sets showing significant differential expression were input into Ingenuity Pathway Analysis software v5.5.1 http://www.ingenuity.com to perform a biological interaction network analysis. Although a cross-hybridization study was performed by Gregrogy and coworkers (11) on a mouse U74av2 DNA Affymetrix gene chip (12,488 transcripts) with RNA from Leishmania donovani, it was important to also assess the absence of significant cross-hybridization in our experimental conditions. To this end, we compared the gene chip data obtained with MΦ RNA alone with those obtained with the same RNA preparation spiked with different amount of L. amazonensis RNA. Our data showed that L. amazonensis RNA did not interfere with mouse RNA hybridization onto GeneChips (data not shown). Indeed, fold-change values for a technical replicate of mouse RNA were not significantly different from those observed for mouse RNA spiked with up to 10% of L. amazonensis RNA taking the non-spiked mouse RNA as reference (one-sample one-sided Student's t-test P-values < 5% for all 45,101 probe-sets, the 1,248 significantly modulated probe-sets, the probe-sets of the 107 genes in Table 1 and the probe-sets of the 13 genes in Figure 3). Therefore, the observed over-expressions were not due to cross-hybridization between the mouse and the amastigote transcripts, thus providing valid information about the reprogramming of MΦ hosting cell-cycling amastigotes.
Real-time quantitative PCR
RTQPCR were performed on cDNA from various biological samples including those used for the hybridizations using a LightCycler®480 (Roche Diagnostics). Primer sequences are available upon request. Gene expression analysis using qBase  allowed determining the normalized relative quantities between parasite-free and parasite-harbouring MΦ.
This research has received generous financial support from the Fonds Dédié Sanofi-Aventis/Ministère de l'Enseignement Supérieur et de la Recherche "Combattre les Maladies Parasitaires" (PI E. Prina, Co-PI T. Lang), from Institut Pasteur and from Programme de Recherche Pestis (PI E. Carniel, Co-PI G. Milon). We are grateful to Dr. R. Nunnikhoven for his gift that allowed purchasing the Affymetrix core facility and to Roche for providing us with the LightCycler-480.
- Antoine JC, Prina E, Lang T, Courret N: The biogenesis and properties of the parasitophorous vacuoles that harbour Leishmania in murine macrophages. Trends Microbiol. 1998, 6 (10): 392-401.View ArticlePubMedGoogle Scholar
- Courret N, Frehel C, Gouhier N, Pouchelet M, Prina E, Roux P, Antoine JC: Biogenesis of Leishmania-harbouring parasitophorous vacuoles following phagocytosis of the metacyclic promastigote or amastigote stages of the parasites. J Cell Sci. 2002, 115 (Pt 11): 2303-2316.PubMedGoogle Scholar
- Provenzano M, Mocellin S: Complementary techniques: validation of gene expression data by quantitative real time PCR. Adv Exp Med Biol. 2007, 593: 66-73.View ArticlePubMedGoogle Scholar
- Antoine JC, Jouanne C, Lang T, Prina E, de Chastellier C, Frehel C: Localization of major histocompatibility complex class II molecules in phagolysosomes of murine macrophages infected with Leishmania amazonensis. Infect Immun. 1991, 59 (3): 764-775.PubMed CentralPubMedGoogle Scholar
- Lukacs GL, Rotstein OD, Grinstein S: Determinants of the phagosomal pH in macrophages. In situ assessment of vacuolar H(+)-ATPase activity, counterion conductance, and H+ "leak". J Biol Chem. 1991, 266 (36): 24540-24548.PubMedGoogle Scholar
- Burchmore RJ, Barrett MP: Life in vacuoles – nutrient acquisition by Leishmania amastigotes. Int J Parasitol. 2001, 31 (12): 1311-1320.View ArticlePubMedGoogle Scholar
- McConville MJ, de Souza D, Saunders E, Likic VA, Naderer T: Living in a phagolysosome; metabolism of Leishmania amastigotes. Trends Parasitol. 2007, 23 (8): 368-375.View ArticlePubMedGoogle Scholar
- Shin DJ, Osborne TF: Thyroid hormone regulation and cholesterol metabolism are connected through Sterol Regulatory Element-Binding Protein-2 (SREBP-2). J Biol Chem. 2003, 278 (36): 34114-34118.View ArticlePubMedGoogle Scholar
- Lund EG, Kerr TA, Sakai J, Li WP, Russell DW: cDNA cloning of mouse and human cholesterol 25-hydroxylases, polytopic membrane proteins that synthesize a potent oxysterol regulator of lipid metabolism. J Biol Chem. 1998, 273 (51): 34316-34327.View ArticlePubMedGoogle Scholar
- Ikonen E: Cellular cholesterol trafficking and compartmentalization. Nat Rev Mol Cell Biol. 2008, 9 (2): 125-138.View ArticlePubMedGoogle Scholar
- Gregory DJ, Sladek R, Olivier M, Matlashewski G: Comparison of the effects of Leishmania major or Leishmania donovani infection on macrophage gene expression. Infect Immun. 2008, 76 (3): 1186-1192.PubMed CentralView ArticlePubMedGoogle Scholar
- Hart DT, Lauwers WJ, Willemsens G, Bossche Vanden H, Opperdoes FR: Perturbation of sterol biosynthesis by itraconazole and ketoconazole in Leishmania mexicana mexicana infected macrophages. Mol Biochem Parasitol. 1989, 33 (2): 123-134.View ArticlePubMedGoogle Scholar
- Roberts CW, McLeod R, Rice DW, Ginger M, Chance ML, Goad LJ: Fatty acid and sterol metabolism: potential antimicrobial targets in apicomplexan and trypanosomatid parasitic protozoa. Mol Biochem Parasitol. 2003, 126 (2): 129-142.View ArticlePubMedGoogle Scholar
- Dermine JF, Duclos S, Garin J, St-Louis F, Rea S, Parton RG, Desjardins M: Flotillin-1-enriched lipid raft domains accumulate on maturing phagosomes. J Biol Chem. 2001, 276 (21): 18507-18512.View ArticlePubMedGoogle Scholar
- Roberts SC, Tancer MJ, Polinsky MR, Gibson KM, Heby O, Ullman B: Arginase plays a pivotal role in polyamine precursor metabolism in Leishmania. Characterization of gene deletion mutants. J Biol Chem. 2004, 279 (22): 23668-23678.View ArticlePubMedGoogle Scholar
- Wanasen N, MacLeod CL, Ellies LG, Soong L: L-arginine and cationic amino acid transporter 2B regulate growth and survival of Leishmania amazonensis amastigotes in macrophages. Infect Immun. 2007, 75 (6): 2802-2810.PubMed CentralView ArticlePubMedGoogle Scholar
- Real F, Pouchelet M, Rabinovitch M: Leishmania (L.) amazonensis: fusion between parasitophorous vacuoles in infected bone-marrow derived mouse macrophages. Exp Parasitol. 2008, 119 (1): 15-23.View ArticlePubMedGoogle Scholar
- Guerfali FZ, Laouini D, Guizani-Tabbane L, Ottones F, Ben-Aissa K, Benkahla A, Manchon L, Piquemal D, Smandi S, Mghirbi O, Commes T, Marti J, Dellagi K: Simultaneous gene expression profiling in human macrophages infected with Leishmania major parasites using SAGE. BMC Genomics. 2008, 9: 238-PubMed CentralView ArticlePubMedGoogle Scholar
- Johnson LA, Jackson DG: Cell traffic and the lymphatic endothelium. Ann N Y Acad Sci. 2008, 1131: 119-133.View ArticlePubMedGoogle Scholar
- Diefenbach A, Jamieson AM, Liu SD, Shastri N, Raulet DH: Ligands for the murine NKG2D receptor: expression by tumor cells and activation of NK cells and macrophages. Nat Immunol. 2000, 1 (2): 119-126.View ArticlePubMedGoogle Scholar
- Shi L, Reid LH, Jones WD, Shippy R, Warrington JA, Baker SC, Collins PJ, de Longueville F, Kawasaki ES, Lee KY, Luo Y, et al: The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements. Nat Biotechnol. 2006, 24 (9): 1151-1161.View ArticlePubMedGoogle Scholar
- Rodriguez NE, Chang HK, Wilson ME: Novel program of macrophage gene expression induced by phagocytosis of Leishmania chagasi. Infect Immun. 2004, 72 (4): 2111-2122.PubMed CentralView ArticlePubMedGoogle Scholar
- Steinberg BE, Grinstein S: Pathogen destruction versus intracellular survival: the role of lipids as phagosomal fate determinants. J Clin Invest. 2008, 118 (6): 2002-2011.PubMed CentralView ArticlePubMedGoogle Scholar
- Osorio y Fortea J, Prina E, de La Llave E, Lecoeur H, Lang T, Milon G: Unveiling pathways used by Leishmania amazonensis amastigotes to subvert macrophage function. Immunol Rev. 2007, 219: 66-74.View ArticlePubMedGoogle Scholar
- Prina E, Roux E, Mattei D, Milon G: Leishmania DNA is rapidly degraded following parasite death: an analysis by microscopy and real-time PCR. Microbes Infect. 2007, 9 (11): 1307-1315.View ArticlePubMedGoogle Scholar
- Schroeder A, Mueller O, Stocker S, Salowsky R, Leiber M, Gassmann M, Lightfoot S, Menzel W, Granzow M, Ragg T: The RIN: an RNA integrity number for assigning integrity values to RNA measurements. BMC Mol Biol. 2006, 7: 3-PubMed CentralView ArticlePubMedGoogle Scholar
- Osorio y Fortéa J, Prina E, Lang T, Milon G, Davory C, Coppee JY, Regnault B: Affygcqc: a web-based interface to detect outlying genechips with extreme studentized deviate tests. J Bioinform Comput Biol. 2008, 6 (2): 317-334.View ArticlePubMedGoogle Scholar
- Wu Z, Irizarry RA, Gentleman R, Martinez-Murillo F, Spencer F: A Model-Based Background Adjustment for Oligonucleotide Expression Arrays. J Am Stat Assoc. 2004, 99 (9): 909-917.View ArticleGoogle Scholar
- Jain N, Thatte J, Braciale T, Ley K, O'Connell M, Lee JK: Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays. Bioinformatics. 2003, 19 (15): 1945-1951.View ArticlePubMedGoogle Scholar
- Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B-Stat Methodol. 1995, 27: 289-300.Google Scholar
- Hellemans J, Mortier G, De Paepe A, Speleman F, Vandesompele J: qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data. Genome Biol. 2007, 8 (2): R19-PubMed CentralView ArticlePubMedGoogle Scholar
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