s2fieldsofstudy: Biology Medicine

text:
Expression profiles of podocytes exposed to high glucose reveal new insights into early diabetic glomerulopathy

Podocyte injury has been suggested to play a pivotal role in the pathogenesis of diabetic glomerulopathy. To glean insights intomolecular mechanisms underlying diabetic podocyte injury we generated temporal global gene transcript profiles of podocytes exposed to high glucose for a time interval of 1 or 2 weeks using microarrays. A number of genes were altered at both 1 and 2 weeks of glucose exposure compared to controls grown under normal glucose. These included extracellular matrix modulators, cell cycle regulators, extracellular transduction signals and membrane transport proteins. Novel genes that were altered at both one and two weeks of high glucose exposure included Neutrophil gelatinase-associated lipocalin (LCN2 or NGAL, decreased by 3.2 fold at 1 week and by 7.2 fold at 2 weeks), Endothelial lipase (EL, increased by 3.6 fold at 1 week and 3.9 fold at 2 week), and UDP-glucuronosyltransferase 8 (UGT8, increased by 3.9 fold at 1 week and 5.0 fold at 2 weeks). To further validate these results we used real-time PCR from independent podocyte cultures, immunohistochemistry in renal biopsies and immunoblotting on urine specimens from diabetic patients. A more detailed time course revealed changes in LCN2 and EL mRNA levels as early as 6 hours and in UGT8 mRNA levels at 12 hours post-high glucose exposure. EL immunohistochemistry on human tissues showed markedly increased expression in glomeruli and immunoblotting readily detected EL in a subset of urine samples from diabetic nephropathy patients. In addition to previously implicated roles of these genes in ischemic or oxidative stress, our results further support their importance in hyperglycemic podocyte stress and possibly diabetic glomerulopathy pathogenesis and diagnosis in humans.

We have previously found that BMP7 confers podocyte resistance to hyperglycemic injury by restoring major podocyte proteins such as synaptopodin and podocin (19). Identifying new molecular changes and integrating them to known pathways are important inobtaining deeper insights into the mechanism of diabetic nephropathy, early diagnosis and possible new therapies. One approach towards this end is using high throughput methods that detect multiple molecular changes simultaneously. For example, microarray technology enables one tomeasure gene expression in whole genomes to identify new genes and pathways associated with a disease. Microarray studies on whole diabetic kidney and/or on mesangial cells, have found altered gene expression in the early phases of diabetic injury in mice (20)(21)(22)(23)(24). While these studies provide initial insights into early global changes in the diabetic kidney, little is known about the molecular and temporal events occurring specifically in podocytes. Recently, early global changes due to high glucose were reported in podocytes (25). Information regarding the molecular changes in podocytes due to prolonged high glucose exposure will help derive important insights into how these may lead to diabetic nephropathy, a disease that develops over a long time. This will also enhance the possibility of discovering biomarkers that can help discern podocyte dysfunction over broad range of this disease.
The aim of this study was to examine the effect of prolonged high glucose exposure on mRNA expression profiles in mouse podocytes. Using expression microarrays we discovered genes that are strongly and consistently associated with hyperglycemic podocyte stress in a time-course analysis. The in vitro podocyte injury alterations were also detected in renal biopsies and urine samples from patients with diabetic nephropathy suggesting that these may be relevant to the pathogenesis of diabetic glomerular disease in humans.

Cell Culture
Experiments were performed using a thermosensitive SV-40-transfected immortalized mouse podocyte cell line (gift from Peter Mundel, Mount Sinai School of Medicine, New York). Podocytes were cultured in RPMI 1640 supplemented with 10% fetal bovine serum (FBS), 100 U/mL penicillin, and 100 μg/mL streptomycin. Cells were grown at 33° C and treated with 10 U/mL of mouse recombinant -interferon (Sigma, St. Louis, Mo, USA) as previously described (19). At confluence podocytes were maintained on a bed of type I collagen at 37° C for 14 days without γ-interferon to allow differentiation (26). These conditionally immortalized cells were then either exposed to media containing normal glucose (NG) as a control (5.5 mmol/L D-glucose) or High Glucose (HG) (25 mmol/L Dglucose) for 6, 12, 18, 24, 72 hours and one or two weeks. Experiments were performed in duplicate.
To account for the osmotic effect of high glucose, podocytes were starved for 24 hours with media containing mannitol. In this model, 1 week exposure to HG was considered an arbitrary representation of sub-acute HG stress and an arbitrary representation of sustained stress was taken as HG exposure for 2 weeks. Exposure of podocytes to HG from 6-72 hours was performed to study temporal alterations and to independently validate the microarray results.

RNA extraction
Total RNA was extracted with TRIzol reagent according to manufacturer's protocol (Invitrogen Inc.). An additional cleanup step was used by employing an RNeasy Mini Kit (QIAGEN Inc., Valencia, CA, USA). RNA concentration and purity was assessed by spectroscopy (nanodrop) with the A260/A280 ratio in the range 1.77-2.08. RNA samples were used immediately or stored at −80° C for subsequent microarray analysis or for Realtime PCR.

Microarray hybridization and data analysis
Total RNAs (1-5 μg) extracted from podocytes cultured in HG for 1 or 2 weeks and in NG for 2 weeks (in duplicate) were reverse-transcribed into cDNA and biotin-labeled cRNA targets were generated. The cRNA was fragmented and hybridized to Affymetrix GeneChip Mouse Genome 430 2.0 microarrays (Affymetrix, Santa Clara, CA, USA) at the Laboratory of Translational Pathology Microarray Core Facility of Washington University as previously described (27). Quantitative analysis of hybridization patterns and intensities was performed by Affymetrix software, and the resulting data were analyzed by Affymetrix Microarray Suite software (Version 5.0). The entire raw data are available at http:// bioinformatics.wustl.edu. The data were scaled to 1500 units of signal intensity for comparisons across samples and imported into dCHIP for analysis. The data were filtered to exclude genes that were not expressed or did not vary using the coefficient of variation (standard deviation/mean) and percentage of presence calls in the arrays. First, the genes were filtered such that the coefficient of variation across samples was greater than 0.5 and less than 1000 (28,29). Second, only the genes that had a presence call percentage of ≥20% across the arrays were included for analysis. After filtering, a list of 1,790 genes was used to identify differentially expressed genes in the dataset. Using the replicate NG arrays as the baseline (B), the replicate 1W or 2W array experiments (E) were each compared for changes in gene expression using a 3-fold cutoff (B/E or E/B>3), absolute signal difference >100 (B-E or E-B>100) and a presence call percentage of ≥20% in each of the baseline and experimental datasets. The raw signal intensity data for the resulting differentially expressed genes were reviewed and only those genes that showed close agreement between the duplicates were pursued.

Human tissue studies
Paraffin-embedded tissue blocks or fresh cryopreserved tissue from renal biopsies from patients (n=8) with diabetic glomerulosclerosis were randomly retrieved from the files of the Department of Pathology and Immunology at Washington University in St. Louis or George M. O'Brien Center for Kidney Disease Research Kidney Translational Research Core at Washington University. All specimens used for research were collected under protocols approved by the Institutional Review Board of Washington University School of Medicine. Light microscopy, routine immunofluorescence and electron microscopy were retrospectively reviewed to ascertain diagnosis. Seven controls consisted of histologically normal non-diabetic kidneys.

Immunohistochemistry
Immunohistochemistry on formalin-fixed paraffin-embedded sections (4μm) was performed using antigen retrieval for 15 minutes (10mM sodium citrate, 0.05% Tween20, pH 6.0) and peroxidase method. Hematoxylin-Eosin was used for counterstaining. For cryopreserved tissue, immunofluorescence was performed on 10 μm sections that were post-fixed in PBS containing 4% paraformaldehyde, washed and blocked with Image-iT TM FX signal enhancer (Invitrogen Inc.) for 30 minutes and then incubated with the primary antibody. The primary and secondary antibodies used were anti-endothelial lipase (1:50, Cayman chemical company Cat# 100030) and biotinylated anti-rabbit (1:200, JacksonImmunoresearch Inc.), respectively. WT1 antibody (1:10, Santa Cruz Biotechnology Inc.) was used to label podocytes in biopsies. The signals were visualized using streptavidin-HRP (1:400, JacksonImmunoresearch Inc.) for paraffin embedded tissue, and with streptavidin-alexa594 (molecular probes) for EL immunofluorescence, and strepatavidin-alexa488 for WT1 immunofluorescence. Slides were incubated with bis-Benzamide (Sigma) for 5 minutes to visualize nuclei. Nikon 80i upright microscope (Nikon) equipped with CoolSnapES camera (photometrics) was used to capture the images and Nikon Elements (Nikon)and Adobe Photoshop (Adobe) softwares were used for image processing.
Immunoblotting SDS-PAGE (10%) was performed on urine specimens (15μl each) of 4 patients with diabetic nephropathy and 3 individuals with no known kidney disease (controls) using standard procedures, The proteins were transferred to PVDF membrane using Bio-Rad semi-dry apparatus. After washing twice with TBS buffer, the PVDF membrane was blocked using 2% non-fat milk and 2% BSA in TBST buffer for 1 hour at room temperature, and then incubated with rabbit anti-endothelial lipase (1:100) and mouse anti-albumin (1:2000, Invitrogen Cat#03-0700) antibodies for 16 hours at 4° C. After washing with TBST, the membranes were incubated for 1 hour at 25° C with IRDye800CW-conjugated goat antirabbit IgG (1:2000, red) and IRDye680-conjugated goat anti-mouse IgG (1:2000, green) secondary antibodies (LI-COR Biosciences). After washing, the respective antigens were visualized on an Odyssey Infrared Imaging System (LI-COR Biosciences) with both 700and 800-nm channels. For confirming specificity of EL antibody different amounts of purified human Albumin (Sigma) ranging from 0.1μg to 50μg were blotted on two separate nitro-cellulose membranes and immunoblotting and detection was performed as described above for albumin and EL.

Statistical Analysis
In real-time PCR experiments a two-way analysis of variance (ANOVA) was used to compare control with experimental groups. Results are shown as the mean ± SD. P< 0.05 was considered statistically significant.

Results
To identify podocyte-specific genes potentially regulated by HG exposure we treated podocytes in culture for one or two weeks with HG and compared their expression profiles with controls grown in NG for two weeks using Affymetrix Mouse Genome 430 2.0 microarrays. A filtered set of 1,790 genes was examined for changes in gene expression. Compared to NG there were 19 transcripts that were significantly downregulated at 1 week of HG exposure (Tables 1 and 2, see methods). These include: brain expressed gene 1 (Bex1), Thyroid hormone receptor interactor 11 (Trip11) and lipocalin 2 (Lcn2). There were 19 transcripts that were up-regulated at 1 week including interleukin 1 receptor-like 1 (Il1rl1), endothelial lipase (Lipg or EL) and UDP galactosyltransferase 8A (Ugt8). Twenty five genes were downregulated in week 2, including Lcn2, matrix metalloproteinase 2 (Mmp2) and Cyclin 1 (Ccni). Thirty two genes were upregulated at 2 weeks in HG treated podocytes including Ugt8 and endothelial lipase (for detailed list and fold changes see Table  1). We next focused on identifying genes that were represented by probesets showing consistent changes in response to HG at both 1 week (arbitrary representation of sub-acute HG stress) and 2 weeks (arbitrary representation of sustained HG stress) in our model. We were interested in this for two reasons. First, these could represent potential biomarkers that remain altered in diabetic glomerular disease. Second, these could provide insights into possible mechanisms underlying HG-mediated podocyte dysfunction. Therefore, we generated a gene list representing intersection of differentially expressed genes at both 1 and 2 weeks of HG compared to NG exposure (Table 3). Of the ten genes that were differentially expressed in both the 1 week and 2 week time points compared to the normal glucose control, only three genes showed consistent changes in probesets across replicates when the raw signal intensity data were examined, and that had defined annotation information. These include neutrophil gelatinase-associated lipocalin (Lcn2 also known as Ngal1) whose expression was decreased in response to high glucose, and endothelial lipase (EL) and UDPglucuronosyltransferase 8 (Ugt8) whose expression levels increased in response to high glucose ( Figure 1).
To further understand the temporal dynamics of these alterations, and independently validate microarray results, we isolated RNA from podocytes exposed to HG at different time intervals (6h, 12h, 18h, 24h, 72h, 1 weeks and 2weeks) and performed RT-PCR for Lcn2, EL and Ugt8 ( Figure 2). Consistent with our microarray data we found that all three genes were modulated by HG. Importantly, Lcn2 levels started to decrease as early as 6 h after HG exposure and were significantly down regulated by HG at 18 hours. By 72h Lcn2 was barely detectable and remained low for the remaining time points of this experiment and up to 1 and 2 weeks (Figure 2a). EL was upregulated as early as 6 hours by HG and increased by 3 and 10 fold at 1 week and 2 weeks, respectively, compared to control (Figure 2b). Ugt8 was upregulated by HG as early as 12 hours and remained elevated at 2 weeks of HG exposure (Figure 2c). These results validate the microarray findings and demonstrate that perturbation in expression of these genes after high glucose exposure was a relatively early event (less than 18 h after HG exposure) and the expression remained downregulated (for Lcn2) or upregulated (for EL and Ugt8) at longer times of HG exposure.
We next determined if the HG responsive genes found from experiments in vitro were also altered in patients with diabetic nephropathy. To obtain a clearer idea at a cell specific level we resorted to immunohistochemistry in kidneys from diabetic or non-diabetic patients (8 diabetic and 7 non-diabetic controls). Among the three differentially expressed genes, we focused on EL2 as Ugt8 antibodies were not available and Lcn2 was barely detectable in podocytes of non-diabetic patients (low abundance expression) thus rendering it unsuitable for detecting any further downregulation in situ in diabetic glomeruli. Consistent with our cell-culture results, we observed markedly higher EL2 expression in podocytes of almost all diabetic nephropathy patients (7 out of 8) compared to those from non-diabetics (normal) (Figure 3). Immunostaining with WT1 and EL antibodies using immunoperoxidase or immunofluorescence methods confirm high expression of EL in podocytes of diabetic glomeruli. Parietal cells of diabetic glomeruli also exhibit high EL immunopositivity compared to controls and non diabetic kidneys, but the significance of this is unclear.
We further examined if these findings can have potential utility in DN diagnosis and performed EL immunoblotting in urine samples from diabetic nephropathy and non-diabetic control patients EL was readily detected in urine of a subset of DN patients (2/4), while none of the control patients (3/3) show EL expression (Fig. 4).

Discussion
We have employed microarray analysis to delineate potential molecular pathways underlying podocyte injury in diabetic glomerulopathy using an in vitro model and confirmed a subset of the observed in vitro changes in independent time-course experiments and in specimens from humans with diabetic nephropathy. Out of a total of 95 transcripts that were differentially expressed upon HG exposure of 1 or 2 weeks, we found that three remained altered at both 1 and 2 weeks (Lcn2, Ugt8 and EL) suggesting that these are promising candidates as biomarkers or potential contributors to the pathogenesis of diabetic glomerular disease. Time course RT-PCR experiments revealed that changes in mRNAs of these genes occurs shortly after exposure to high glucose and remain altered that may have implications in early and late detection and pathogenesis.
We discovered that Lcn2 expression exhibited a time-dependent decrease in podocytes beginning as early as 6 h after HG treatment. LCN2 is a member of the lipocalinsuperfamily that forms a complex with iron-binding siderophores. This complex plays a role during nephrogenesis by promoting the conversion of renal progenitorsinto tubules (31). Further, it is also highly upregulated in tubular cells after acute kidney injury (32). These results support the idea that upregulation of Lcn2 is important for survival or regeneration after injury from stress. This idea is further supported by the observation that recombinant Lcn2 reduces proximal tubular injury in an ischemia reperfusion injury model by inhibiting apoptosis (33). The decreased expression of Lcn2 observed in our study was unexpected considering its upregulation in other injury models, however, our independent validation using quantitative RTPCR at several time points supported the observed Lcn2 downregulation upon HG exposure . This observation suggests that failure of podocytes to sustain normal or high levels of Lcn2 after HG exposure may be a potential mechanism of podocyte injury and apoptosis induced by HG. LCN2 also binds to matrix metalloproteinase-9(MMP-9) and protects this extracellular matrix remodeling enzymefrom autodegradation (34). Whether reduced expression of LCN2 contributes to glomerular basement membrane (GBM) thickening and extracellular matrix accumulation (hallmark lesions of diabetic glomerulosclerosis) by increasing autodegradation of MMP-9 or other metalloproteinases remains to be seen.
Our discovery of upregulation of Endothelial lipase (EL) in vitro and in human samples have important clinical implications. EL, the most recently discovered member of the lipase gene family is an important negative modulator of high density lipoprotein (HDL). EL is also involved in inflammatory state by promoting monocyte adhesion to the vascular endothelium (35,36). Recent data indicate that HDL inhibits apoptosis, lipid oxidation, cytokine and adhesion molecule production (37). Since in vitro and in vivo studies have linked HDL to both diabetes mellitus and inflammation, it is possible that increased EL in our study of podocyte HG exposure may be a mechanism of HDL-mediated or cytokinemediated effects in diabetic glomerulopathy. Further, HDL is thought of as protective against formation of extrarenal vascular calcifications, a common and serious complication in patients with chronic kidney disease (38). Therefore, it is possible that elevated EL in diabetic glomerulopathy mediates low HDL-associated increased vascular calcifications. Importantly, we demonstrate for the first time that podocytes may be a significant source of EL, a protein normally secreted by vascular endothelial and smooth cells or macrophages (cell types typically not present in the glomerulus), after HG exposure. Because our studies show that EL can be readily detected in human urine samples in a subset of diabetic patients also supports its potential use in diabetic nephropathy diagnosis. Further large scale studies are warranted to determine the diagnostic utility of aberrant EL expression in diabetic and non-diabetic nephropathy at different stages of the disease.
While Lcn2 and EL can be potentially linked to HG mediated changes related to diabetic nephropathy, currently no such information is available for Ugt8. Ugt8 consists of a super family of enzymes that catalyze glucuronidation (39). In particular Ugt8 family catalyzes the transfer of galactose to ceramide, a key enzymatic step in the biosynthesis of galactocerebrosides. Galactocerebrosides are abundant sphingolipids of the myelin membrane of the central and peripheral nervous system (40), and Ugt8 is also present in the kidney during metanephric development (41). Ugt8 deficiency results in a spectrum of neurological symptoms characterized by tremors, ataxia, progressive hindlimb paralysis and vacuole formation in ventral spinal cord (42). Increased ceramide levels have also been shown to increase apoptosis in a number of systems (43). On the other hand, Ugt8 upregulation is associated with increased metastatic potential to lung by specifically enhancing the ability to metastasize to, colonize and survive within the lung (44). It should be noted that podocytes have been touted as neuronal counterparts in the kidney and the increased Ugt8 levels may be protective compensatory response to prevent podocyte degeneration by enhancing their survival, perhaps similar to its role in the nervous system by regulating lipid metabolism. Future studies would be needed to explore a potential relationship of Ugt8 to diabetic glomerulopathy or podocyte function.
In conclusion, our study identified podocyte specific genes that are regulated by acute and sustained HG exposure. While some of these have been previously associated with diabetic glomerulopathy thus validating our strategy, we found several novel ones. We confirmed a subset of these that may cause deranged lipid metabolism and impaired injury response in podocytes and contribute to diabetic nephropathy. Further, we show data for potential application of these in diagnosis of diabetic nephropathy in human specimens. Thus these studies provide new molecular insights into the role of podocytes in diabetic renal disease and support the notion that diabetes with regards to the glomerulus is another podocytopathy (45).     High endothethelial lipase expression in kidney sections from diabetic patients compared to non-diabetic kidneys. Endothelial Lipase (EL) immunostaining was performed on formalinfixed paraffin embedded (A) or cryopreserved biopsies (B) from patients with diabetic nephropathy (8) or non-diabetics (7) (see methods). The primary antibody was omitted in the control panel. All diabetic patients except one had increased EL immunopositivity in podocytes. Representative images from 3 diabetic and 2 non-diabetic patients are shown.

Abbreviations
(A) Immunoperoxidase staining (brown) with anti-EL antibodies show increased EL expression (red arrows) in podocytes and parietal cells of diabetic compared to non-diabetic glomeruli. (scale bar = 50 μm). The high power images on the right (scale bar = 10 μm) are adjacent sections from a diabetic kidney stained with anti-EL or anti-WT-1 (as a podocyte marker) that show colocalization of EL (red arrowheads) and WT-1 (dark brown nuclear staining) in same cells (asterisks) supporting that EL and WT-1 are expressed in the podocytes. (B) EL immunofluorescence (red) on non-diabetic and diabetic kidney tissues also shows increased EL expression in diabetic glomeruli (lower panel), compared to nondiabetic glomeruli (upper panel). Control shows no glomerular staining. WT1 (green nuclear, arrowheads) immunostaining confirms that EL-expressing cells (arrows, cytoplasm) are podocytes. (scale bar = 50 μm). The tubulointerstitial staining is non-specific as it is present in controls in both A and B. Endothelial Lipase is readily detected in urine of diabetic nephropathy patients. (a) Immunoblot analysis for Endothelial Lipase (57KDa) (EL) and Albumin (67KDa) in urine samples of diabetic (lanes A, H, I and K) and non-diabetic controls (lanes E, F, and J). High levels of EL (green) are detected in urine samples of two diabetic patients (H and I).
Controls show no EL excretion. Albumin (red) was detected in all samples. The lower panel shows distinct migration of EL and Albumin. (b) EL antibody does not cross react with albumin. Dot blot pattern of EL and Albumin immunostaining to different amounts of purified human albumin protein shows no immunostaining with EL antibody further confirming that EL detection is specific.


extfieldsofstudy: Biology Medicine

text:
Galectin‐3, a marker for vacuole lysis by invasive pathogens

Shigella bacteria invade macrophages and epithelial cells and following internalization lyse the phagosome and escape to the cytoplasm. Galectin‐3, an abundant protein in macrophages and epithelial cells, belongs to a family of beta‐galactoside‐binding proteins, the galectins, with many proposed functions in immune response, development, differentiation, cancer and infection. Galectins are synthesized as cytosolic proteins and following non‐classical secretion bind extracellular beta‐galactosides. Here we analysed the localization of galectin‐3 following entry of Shigella into the cytosol and detected a striking phenomenon. Very shortly after bacterial invasion, intracellular galectin‐3 accumulated in structures in vicinity to internalized bacteria. By using immuno‐electron microscopy analysis we identified galectin‐3 in membranes localized in the phagosome and in tubules and vesicles that derive from the endocytic pathway. We also demonstrated that the binding of galectin‐3 to host N‐acetyllactosamine‐containing glycans, was required for forming the structures. Accumulation of the structures was a type three secretion system‐dependent process. More specifically, existence of structures was strictly dependent upon lysis of the phagocytic vacuole and could be shown also by Gram‐positive Listeria and Salmonella sifA mutant. We suggest that galectin‐3‐containing structures may serve as a potential novel tool to spot vacuole lysis.

Introduction
Invading pathogens need to evade the immune system in order to maintain replication within the host. Shigella serves as an example of such a pathogen whereas bacterial invasion is mediated by the type three secretion system (TTSS) that is activated upon contact with the host cell and injects effector proteins to the cell cytoplasm (Enninga et al., 2005). Following internalization, bacteria lyse the phagosome by TTSS activity. This process is poorly understood due to the lack of reliable markers for vacuole lysis, but is a critical step to the bacteria that can avoid phagosome-lysosome fusion and start replicating in the cytoplasm and spreading from cell to cell. At the same time it is a turning point to the host initiating a response following the sensing of a foreign entity inside the cell. This response is initiated as signalling occurring already at the phagosome, e.g. by intracellular receptors such as Nods leading to the activation of inflammatory gene expression (reviewed in Herskovits et al., 2007;Phalipon and Sansonetti, 2007;Kufer et al., 2008;Schroeder and Hilbi, 2008). In an attempt to analyse this inflammatory cellular program following infection, we compared the transcriptome of the intestine of infected and non-infected newborn mice. Interestingly, one protein induced after Shigella flexneri infection was galectin-3 (T. Pedron and P. Sansonetti, unpublished).
Galectin-3, also known as Mac-2, is a member of an ancient protein family, the galectins, defined by conserved sequence elements and affinity for b-galactose-containing carbohydrates (Houzelstein et al., 2004;Leffler et al., 2004). The galectins are small soluble proteins that, of special relevance here, are synthesized as cytosolic proteins, without a signal peptide. However, they may also be targeted to the nucleus, enter intracellular vesicles or be secreted by a non-classical (non-ER-Golgi) pathway (Hughes, 1999;Menon and Hughes, 1999;Delacour et al., 2007). Consequently, a surprising array of functional activities have been reported including nuclear, cytosolic, intravesicular and extracellular activities (Ochieng et al., 2004;Patterson et al., 2004;Ashery et al., 2006;Toscano et al., 2007;Rabinovich et al., 2007). Since the b-galactoside-containing glycoconjugates are typically not found in the cytosol or nucleus, but only in vesicles, on the cell surface and extra cellularly, a galectin needs to cross a membrane (by non-classical secretion) to reach them. Their subsequent interaction and cross-linking has been suggested to determine targeting to specific parts of the plasma membrane (Delacour et al., 2007), residence time of specific receptors at the cell surface (Lau et al., 2007;Stanley, 2007), or extracellular transmembrane signalling that may modulate cell activation, differentiation and survival .
On a larger functional scale, galectins were suggested to be cytokine/chemokine-like molecules  and active players in the inflammatory response (Rabinovich et al., 2002;Rubinstein et al., 2004). Galectin-3 is found in many tissues, mainly in epithelial and myeloid cells and involved in many functions (Dumic et al., 2006). A proinflammatory role was suggested based on experiments in vitro and in vivo using galectin-3 null mutant mice (Colnot et al., 1998;Hsu et al., 2000, reviewed in Liu andHsu, 2007). During infection processes, galectin-3 was suggested to be a potential PRR (Pathogen Recognition Receptor) based on its binding to certain bacterial, parasite and fungal products (Sato and Nieminen, 2004), especially those containing b-galactose but also others. Interestingly, galectin-3 was proposed to be also a potential danger signal based on its ability to be passively released upon cellular damage from many cells found at the site of infection and on its ability to be actively secreted from inflammatory macrophages (Sato and Nieminen, 2004;Liu and Hsu, 2007;McClung et al., 2007).
The induction of galectin-3, a cytosolic protein that may reach the extracellular space, by Shigella, an invasive pathogen that reaches the cytosol, raises the questions of where and how they meet. To address this, we took a cell biology approach to carefully look at galectin-3 at the cellular level following Shigella infection. We report here the rapid recruitment of the galectin-3 protein to lysed vacuoles following the invasion of both Gram-negative and -positive bacteria to the cell. Galectin-3 does not interact directly with the bacteria, but apparently with b-galactose-containing glycoconjugates of the lysed vacuole membrane.
We discuss the importance of this phenomenon to be used in further host-pathogen studies.

Galectin-3 accumulates in structures in vicinity of intracellular bacteria
Galectin-3 localization was first analysed in different epithelial cell types infected or not with Shigella flexneri virulent strain, M90T (Fig. 1A). In uninfected cells, the galectin-3 protein was diffusely distributed in the nucleus and cytoplasm, as shown previously in other cell types (Dumic et al., 2006). Strikingly, upon infection of Caco-2 cells with Shigella, M90T, for 60 min, we observed a massive recruitment of galectin-3 around the intracellular bacteria (Fig. 1A). Infection of Caco-2 cells for shorter times (20-60 min) gave the same results (data not shown). The same phenomenon appeared in two other types of epithelial cells, HeLa (Fig. 1B) and MDCK (data not shown) infected with Shigella, M90T, for 30 min. Phalloidin staining of HeLa cells illustrated normal actin architecture when galectin-3 recruitment occurred. Detailed inspection of bacteria in HeLa cells showed that galectin-3 did not colocalize with bacteria, but rather localized in structures near internalized bacteria (Fig. 1B, inset). We named these structures galectin-3-containing structures (G3CS).
Since macrophages are initial targets of Shigella entry and may express high levels of galectin-3, we examined the emergence of G3CS also in this cell type. Indeed, 20 min post infection of J774 macrophages (or raw 264.7 macrophages, data not shown) we could detect G3CS (Fig. 1C). We could also demonstrate that recruitment of G3CS in vicinity to the bacteria occurred in primary bone marrow-derived macrophages (data not shown), hence not restricting the phenomenon only to macrophage cell lines. By carefully inspecting individual intracellular bacteria in various cells we could detect diverse types of G3CS that were sometimes, but not always, polar, i.e. localized to one end of the bacteria.
Galectins have in common a conserved b-galactoside binding site, but vary in fine specificity for larger saccharides due to differences in neighbouring sites (Leffler et al., 2004), which gives the vastly different affinity for natural glycoproteins as demonstrated by Cederfur et al., (2008). Therefore, it was of interest to see if another galectin could also be recruited to bacteria and we thus analysed the localization of galectin-7 during Shigella infection in J774 macrophages. No recruitment of this protein to bacteria was seen (data not shown), demonstrating that G3CS acquisition was not shared between these two galectins.

Time-course of G3CS acquisition in J774 macrophages
To analyse timing and kinetics of G3CS appearance, we examined a synchronized infection during 5-60 min post infection of J774 cells (see Experimental procedures). We defined a bacterium positive for G3CS if it had at least one G3CS in its close vicinity. As shown in Fig previously shown to cause apoptosis in macrophages (Zychlinsky et al., 1992), we wanted to verify the amount of apoptotic cells during this time-course. As shown if Fig. 2B, TUNEL staining demonstrated that the cells were not apoptotic at least 25 min post infection (note that there were no TUNEL-positive cells 15 min time post infection, except for one occasional cell marked by an arrow). We could identify apoptotic cells 60 min post infection (60 min image in Fig. 2A, which shows about 50% apoptotic cells). Thus, during 25 min, in not yet apoptotic cells, there was an active recruitment of the galectin-3 protein to about half of the population of intracellular bacteria. This result shows that the process of galectin-3 reorganization was rapid following internalization of the bacteria and not the result of an apoptotic process.
To further demonstrate the nature and evolvement of structures, we analysed the time-course samples by confocal microscopy. The images in Fig. 2C demonstrate a typical evolving process of G3CS in J774 macrophages infected with Shigella M90T. Five minutes after infection, galectin-3 localized in vesicular structures throughout the Negative control Positive control

Tunel 5min Tunel 15min Tunel 25min Tunel 60min
Galectin-3 and phagosome lysis 533 cell with only occasional close to bacteria. Fifteen minutes after infection, G3CS started being recruited close to bacteria and 60 min post infection G3CS evolved to tubular structures sometimes reaching the size of a bacterium (arrow).

Galectin-3 protein is localized to membranes of the phagosome and the endocytic pathway
In order to better understand the nature and the possible function of intracellular galectin-3 structures beyond IF imaging, we performed immuno-electron microscopy (EM) analysis of J774 macrophages infected for 20-40 min with Shigella M90T strain. At this time point about half of the bacteria recruited G3CS ( Fig. 2A). As can be seen in Fig. 3A, after 20 min infection of J774 macrophages, galectin-3 labelling was localized at the limiting membrane of bacteria containing vacuoles (phagosomes) ( Fig. 3A and B, arrowheads) and in tubular structures connected to the phagosome (Fig. 3B, arrow). Figure 3C, showing cells infected for 40 min, illustrates a phagosome membrane that is less preserved along with an increased size of tubules (arrows), similar to what was seen by IF. It was not clear to us whether the labelled membranes derived from the phagosome itself or from the starting of a fusion with other cellular compartments. We thus tested if the structures derived from the endocytic pathway. To this end, we labelled the cells with BSA-gold followed by bacterial infection for 20 min. As shown in Fig. 3D and E, we could see structures labelled with BSA-gold (5 nm gold particles) and with galectin-3 (10 nm gold particles) (arrow, Fig. 3E), structures that were labelled only by the galectin-3 protein (arrows, Fig. 3D) and structures labelled by only BSA-gold (arrowheads, Fig. 3E). Our immuno-electron microscopy analysis thus shows that a subset of the G3CS derived from phagosome membranes and from tubules/vesicles intersecting with the endocytic pathway.

The lectin activity of galectin-3 and a host glycoconjugate are both required for assembly of G3CS
We next wanted to know whether the lectin activity of galectin-3 was required for the assembly of G3CS. To this end, we utilized an SKBR3 breast cancer cell line that does not express endogenous galectin-3 (Ruebel et al., 2005) and stably expressing either GFP-galectin-3 or GFP-galectin-3 R186S mutant. This mutated galectin-3 has lost its ability to bind LacNAc residues, the predominant galectin-3 binding site in cell surface glycoproteins, yet the point mutation did not disrupt the structure of galectin-3 protein as the protein retained its ability to bind lactose (Cumpstey et al., 2007;Delacour et al., 2007) and also its cytosolic localization was normal (Fig. 4A). As shown in Fig. 4A, GFP-G3CS could be identified in vicinity to the bacteria showing that the GFP did not interfere with the assembly of G3CS. Unlike SKBR3 cells complemented with galectin-3-GFP showing GFP-G3CS in vicinity to the bacteria, cells complemented with GFP-galectin-3 R186S mutant did not demonstrate any G3CS (Fig. 4A). This result shows that the lectin activity of galectin-3 was essential to form G3CS. We thus assumed that a putative glycosylated molecule was required for the assembly of G3CS. To verify if it might be a host molecule, we utilized a CHO Lec1 mutated in the Mgat1 gene that encodes b1,2-N-acetylglucosaminyltransferase I (GlcNAc-TI). These cells fail to add galactose to N-linked saccharides, resulting in the lack of both complex and hybrid N-glycans (Robertson et al., 1978;Chaney and Stanley, 1986;Puthalakath et al., 1996;Chen and Stanley, 2003) and do not bind exogenous galectin-3 to their surface (Patnaik et al., 2006). As shown in Fig. 4B, panel i, CHO parental cells exhibited, as all other galectin-3 expressing cell types, G3CS in vicinity to internalized Shigella M90T bacteria. However, no G3CS could be identified in infected CHO Lec1 mutant cells (Fig. 4B, panel ii). Similar results were obtained with the MDCK-RCA r cell line (data not shown), which is deficient in galactose linked to macromolecules because of a lower UDP-Gal transport rate into the Golgi apparatus (Brandli et al., 1988;Olczak and Guillen, 2006), resulting in deficient interaction with galectin-3 (Delacour et al., 2007). These results show that formation of G3CS following Shigella infection requires galactose-containing host N-linked glycans.

Type three secretion system is required for the acquisition of G3CS
We hypothesized that a bacterial molecule could be involved in recruiting the G3CS. We assumed it might be lipopolysaccharide (LPS) as it was previously shown that galectin-3 could bind LPS of Pseudomonas aeruginosa, Klebsiella pneumoniae and Salmonella minnesota R7 (Mey et al., 1996;Gupta et al., 1997). However, several correlative data argued against the involvement of LPS in G3CS recruitment: (i) the same G3CS appeared following infection with a galU mutant, which does not possess any LPS O antigen repetitive subunits (Sandlin et al., 1995); (ii) recombinant galectin-3 did not show binding to Shigella in vitro; and (iii) no significant colocalization between LPS and galectin-3 was observed in EM double immunolabelling for galectin-3 and LPS (data not shown). In order to verify if there was a bacterial effector implicated in the formation of G3CS, we tested the ability of a non-virulent strain of Shigella, BS176, lacking the virulence plasmid, to recruit intracellular G3CS. As this strain is non-invasive in epithelial cells, we took an advantage of the phagocytic capacity of J774 macrophages and tested this strain for acquiring of G3CS in these cells. As can be seen in Fig. 5A, we could not observe any G3CS in the vicinity of the non-virulent Shigella strain. In order to verify which protein encoded by the virulence plasmid was required for the recruitment of G3CS, we tested the ability of nine different Shigella mutants to acquire the structures: mxiE, a transcription factor mutant, icsB, ospF, icsA and ipgD, mutants involved in various host signalling pathways and mxiD, ipaB, ipaC and ipaD, mutants involved in the TTSS assembly (Schroeder and Hilbi, 2008). All the first five mutants demonstrated the same level of recruited G3CS in infected cells (data not shown). The four mutants deficient in the TTSS did not show any G3CS recruitment following infection ( Fig. 5B and data not shown). This group included mxiD mutant that did not have any functional TTSS, ipaD mutant impaired in secretion of IpaB and IpaC and ipaB or ipaC mutants required for the formation of the translocon inserted in the host membrane.
Rescue of ipaB and ipaC mutants with plasmids expressing IpaB or IpaC, respectively, restored the recruitment of G3CS to infected cells (Fig. 5B). Thus, these results show that acquisition the G3CS was dependent upon having a functional TTSS along with its translocon. Furthermore, our data suggest that it was rather the activity of the entire TTSS apparatus rather than a single effector triggering for the formation of G3CS.

G3CS are recruited during vacuole lysis in J774 macrophages
Effectors encoded by theTTSS of Shigella are required both for the process of invasion and vacuole lysis (Maurelli et al., 1985;Page et al., 1999;Schuch et al., 1999). We thus wondered whether it was invasion or vacuole lysis step in which the TTSS activation was required for acquiring the G3CS. To discriminate between these two possibilities, we wanted to uncouple invasion and vacuole lysis. To this end, we utilized an ipaC null mutant recomplemented by recombinant IpaC containing a fragment of 14 amino acids inserted between residues N351 and S352 (Barzu et al., 1997). This ipaC/IpaC351 strain was shown to be non-invasive in epithelial cells and yet retained the ability to lyse the vacuole when phagocytosed by macrophages (Barzu et al., 1997). As shown in Fig. 6A, mutant ipaC/IpaC351 recruited G3CS following internalization of the bacteria (arrows), indicating that TTSS-induced vacuole lysis was necessary and sufficient for the process of recruitment. Note that G3CS could not be seen with parental ipaC null mutant (Fig. 5B). In order to confirm the requirement of vacuole lysis for the formation of the G3CS, we actively induced vacuole lysis, following passive internalization by using an ipaC null mutant that was complemented by IpaC expressed from a plasmid containing an IPTG-inducible lac promoter (pHI3) (Page et al., 1999). The experimental procedure is depicted on Fig. 6B. In this experiment J774 macrophages were infected with mutant strain ipaC/pHI3. Following 20 min of bacterial infection, extracellular bacteria were carefully washed and infected cells were incubated with IPTG to induce the lac promoter, leading to intravacuolar induction of IpaC expression and functional assembly of the TTSS translocon. As can be seen in Fig. 6B, cells grown without IPTG did not display any G3CS in proximity to internalized bacteria similarly to ipaC null mutant (Fig. 5B), whereas cells grown with IPTG showed bacteria recruiting G3CS (arrows). These data confirm that the formation of G3CS was concomitant with the process of vacuole lysis.

Both Listeria and Salmonella sifA mutant recruit G3CS
We were interested in finding out whether other intracellular bacterial pathogens, both Gram-positive and -negative could recruit galectin-3 structures. We found that Listeria, which also lyses the phagocytic vacuole, induced formation of G3CS in J774 macrophages (Fig. 7A). Moreover, a hly mutant of Listeria monocytogenes, unable to lyse the phagocytic vacuole (Gedde et al., 2000), did not induce recruitment of G3CS (Fig. 7A). This result, combined with the results shown in Fig. 6, demonstrates that lysis of the vacuole with either a Gram-positive or a Gram-negative bacterium was sufficient for recruitment of G3CS in infected cells.
Unlike Listeria and Shigella, Salmonella bacteria that remain in a phagocytic vacuole used as a replicative niche (Garcia-Del Portillo et al., 2008). However, a sifA mutant is able to lyse the phagocytic vacuole and to replicate in Galectin-3 and phagosome lysis 537 Fig. 6. G3CS appear at the step of vacuole lysis. Fluorescence microscopy of J774 macrophages infected by S. flexneri M90T mutants inducing or not the activity of TTSS. A. ipac/IpaC351 S. flexneri strain (Barzu et al., 1997) was used to infect J774 macrophages for 20 min. B. Upper panel, a cartoon describing the different stages of the experiment. Lower panel, immunofluorescence images of the experiment. ipaC/pHI3 S. flexneri strain (Page et al., 1999) was used to infect J774 macrophages for 20 min followed by addition of IPTG (200 mM) and gentamicin (50 mg ml -1 ) for 1 h at 37°C, to induce IpaC expression. the cytosol (Beuzon et al., 2000;. As shown in Fig. 7B, sifA mutant was able to recruit G3CS, while Salmonella wild-type bacteria was not. A small amount of intracellular Salmonella bacteria (about 5%) recruiting galectin-3 structures could be explained by the ability of a small amount of bacteria to lyse the vacuole (Beuzon et al., 2000;Brumell et al., 2002). Therefore, it is likely that the capacity to lyse the vacuole rather than the nature of the pathogen dictates the formation of G3CS.

Discussion
In this manuscript we show that galectin-3 accumulates in the vicinity of invading bacteria, both Gram-positive and Gram-negative, that lyse their phagocytic vacuole, but not in the vicinity of bacteria that do not lyse their phagocytic vacuole. The G3CS appeared in epithelial and macrophages cell lines and also in primary cells. More than half of intracellular Shigella (65%) were G3CS-positive according to our immuno-electron microscopy analysis in J774 macrophages. Our EM data showed that the G3CS localized to the membranes deriving from the phagosome and to a network of tubules and vesicles intersecting with the endocytic pathway. The direct localization of galectin-3 within the endocytic pathway has not been shown before. However, several previous studies correlated galectin-3 with the endocytic pathway. It has been previously shown in a proteomic analysis that galectin-3 was a part of phagosomal proteins . Also, proteomic mapping of exosomes revealed that galectin-3 was one of the proteins appearing in these vesicles of endosomal origin (Thery et al., 2001). Last, galectin-3 was shown to interact with the two lysosomal/ late endosomallysosomal proteins, Lamp1 and Lamp2 (Dong and Hughes, 1997;Sarafian et al., 1998).
Galectin-3 probably does not bind Shigella directly. First, galectin-3 did not bind Shigella in vitro (data not shown). Second, our EM data suggest that galectin-3 was localized in the phagosome and in tubules and vesicles fused with it and not in close vicinity to the bacteria (Fig. 3). In addition, we showed that galectin-3 was recruited both by Gram-positive and Gram-negative bacteria. If galectin-3 indeed bound to bacteria, the interaction might have been with two different molecules in two types of pathogens. It seems to us less likely that this was the case and we favour an explanation in which galectin-3 was recruited to the phagosome without the need for direct interaction with the bacteria. Further experiments are required to study the manner of galectin-3 recruitment to the phagosome, either from the cytosol, in a similar manner to its recruitment to the plasma membrane in K-Ras4B signalling (Elad-Sfadia et al., 2004;Ashery et al., 2006) or from exocytosis of endomembranes to the phagocytic cup (Lee et al., 2007).
The G3CS appearing after bacteria internalization were visualized by galectin-3 labelling, yet we suspect that other molecule/s also participated in forming them. Our results show that LacNAc containing host N-linked glycans were likely to be required for galectin-3 incorporation within the structures. When we used an R186S galectin-3 mutant that had no LacNAc-binding activity, no G3CS could be seen following infection by Shigella. Moreover, CHO-Lec1 cell line, deficient in LacNAc-addition to N-linked glycans also showed no G3CS following infection (Fig. 4), whereas wild-type CHO cells and Lec2 cells deficient in sialylation did (data not shown). These results also correlate with the ability of the wild-type and Lec2, but not Lec1 CHO cells to bind externally added galectin-3, reflecting their glycan repertoire (Patnaik et al., 2006). Consequently, it seems reasonable that the G3CS contained a complex of at least galectin-3 and a host N-glycosylated protein. We should stress that the fact we could not identify G3CS by using gsl3 labelling in certain experiments cannot lead to the conclusion that corresponding structures did not exist. The formation, or not, of structures should be tested after finding at least one additional molecule labelling the structures and this remains to be further studied.

Nature of G3CS
It has been proposed that upon binding to oligosaccharides, the non-lectin domains of galectin-3 molecules may interact with one another, leading to their oligomerization. These oligomerized galectin-3 molecules are known as clusters or lattices that cross-link ligands on the cell surface (Massa et al., 1993;Ahmad et al., 2004). G3CS may be, in fact, such intracellular multivalent clusters of galectin-3 molecules interacting within themselves and with other protein/s yet to be identified. G3CS are likely to be lattices as they gradually grow and gain more galectin-3 labelling (Figs 2 and 3). The formation of these intracellular lattices may be triggered by the binding of N-glycan/s that is/are required to the formation of G3CS (Fig. 4). What may be the source of these N-glycan/s? We propose that these are cell-surface N-linked glycans that are exposed to the cytosolic compartment due to phagosome lysis, which is essential to the formation of G3CS (Figs 6 and 7). Binding of these cell-surface N-linked glycans to galectin-3 may trigger the formation of clusters of G3CS in a similar manner to extracellular clusters (Nieminen et al., 2007). Extracellular and plasma membrane galectin-3-containing lattices are functionally important for the turnover of cell surface receptors and the regulation of signalling in unique membrane microdomains (Furtak et al., 2001;Elad-Sfadia et al., 2004;Partridge et al., 2004;Chen et al., 2007;Nieminen et al., 2007). Clustered membrane microdomains resulting from Galectin-3 and phagosome lysis 539 the binding of galectin lattices to certain glycoproteins serve as a preferential location of signalling (Pace et al., 1999;Brewer et al., 2002). In a similar manner, lattices of G3CS within the phagosome may serve as a platform for assembly of other proteins and the occurrence of signalling. Indeed, Dupont et al. (2009) could observe that following infection, the lysed membranes labelled by galectin-3 underwent polyubiquitinqtion and then activation of the inflammosome, stress response and cell death signalling within the phagosome. Further studies are required to verify possible roles or a possible role of galectin-3 in such signalling.

Galectin-3 as a tool to spot vacuole lysis
What was clear from our observations with bacteria was that disruption of the vacuole by the TTSS in the case of Shigella, by haemolysin in the case of Listeria and by the absence of sifA protein of Salmonella was essential for the visualization of G3CS (Fig. 7). Moreover, the appearance of the structures could be induced upon activation of the TTSS resulting in vacuole lysis (Fig. 6B). While galectin-3 by itself was not required for vacuole lysis (data not shown), the G3CS were recruited only when there was a lysis process. When the vacuole was not lysed, both by Shigella and Listeria mutants, there was no G3CS recruitment. Furthermore, most Salmonella bacteria, which do not lyse the vacuole, did not recruit G3CS. We thus conclude that when G3CS were present, there was a certain extent of vacuole lysis. Our EM experiments cannot prove whether or not a vacuole was lysed and additional experiments are required to verify the exact timing of G3CS appearance during the process of the vacuole lysis. G3CS could be seen as early as about 5 min after Shigella infection of J774 macrophages. We do not know what was the extent of vacuole lysis at this time point and this question was further studied by using a novel assay to spot vacuole lysis. The results indeed showed that Shigella lysed the vacuole in less than 10 min and that G3CS are recruited to ruptured vacuoles fast after the beginning of the lysis, which points to the rapid dynamics of the process (K. Ray, et al., accepted). Our finding that 65% of the bacteria recruit G3CS means that these bacteria are most likely free in the cytoplasm. The other 35% may be in the process of vacuole lysis, not yet recruiting G3CS or that for some reason may not have lysed the vacuole. This last hypothesis can be further studied using the galectin-3 labelling and the novel assay for vacuole lysis proposed by K. Ray et al. (accepted).
If galectin-3 was indeed recruited upon vacuole lysis, then how could one explain its recruitment to phagosomes containing Mycobacterium (Beatty et al., 2002)? Indeed, this study showed binding to Mycobacterium phosphatidylinositolmannosides (PIMs) in vitro, yet this interaction was not demonstrated in vivo within the phagosome. Mycobacterium species are known to reside in the phagosome, yet there are reports of Mycobacterium marinum, motile in the cytoplasm (Stamm et al., 2003), of Mycobacterium tuberculosis free in the cytoplasm (McDonough et al., 1993) or performing cell-to-cell spread in tissue culture (Byrd et al., 1998). Consequently, it might be conceivable that galectin-3 was recruited to disrupted or partially disrupted vacuoles also in the case of Mycobacterium species.
Vacuole lysis is a process not yet fully understood, as compared with other stages in bacteria life cycle, such as invasion. This is partly due to the lack of markers associated with a disrupted, but not intact, phagosome. Currently, the methods for identifying vacuole rupture include EM analysis, usage of antibiotic markers and in the case of motile bacteria, such as Shigella and Listera, the appearance of actin comet tail (Sansonetti et al., 1986;Gouin et al., 1999;Paetzold et al., 2007). This actin tail is associated with bacteria that lysed the vacuole and are free in the cytoplasm. Both the usage of EM studies and antibiotics incorporation cannot be used in high throughput studies. The appearance of actin tails is a late phenomenon, observed long after the vacuole had been lysed. There is a need for a reliable marker associated with the immediate process of vacuole lysis. We propose that galectin-3 can serve as such a marker. Examples for high-throughput assays may be screening mutants unable to lyse the vacuole with the purpose of identifying bacterial and host molecules essential for this process as well as studying host signalling before and after vacuole lysis. To our knowledge, this is the first cellular marker that can be used for these kinds of studies.

Infection experiments
Infection of cells by Shigella was performed as described (Adam et al., 1996). Briefly, 16 h before the experiment, cells were plated at a density of 2-5 times 10 5 cells per well onto a 12-well plate containing 14 mm glass coverslips. Bacteria were grown in TCS (Difco) overnight until mid-exponential phase, centrifuged and resuspended in cell culture media (DMEM or RPMI). Cells were washed with media three times and incubated with media without serum for 3-4 h. Bacteria were centrifuged at 5000 g for 5 min, washed and resuspended in DMEM or RPMI. Bacteria were added to cells with a multiplicity of infection (moi) of 100-150 bacteria per cell. To synchronize infection, cells and bacteria were centrifuged at 700 g for 10 min at 25°C, using a Rotixa/RP swinging-bucket centrifuge equipped with tray holders (Hettich). Samples were incubated for 20-30 min at 37°C to allow bacterial invasion and then washed with PBS. For prolonged infections (over 30 min), infected cells were incubated with gentamicin (50 mg ml -1 ) at 37°C. Listeria infection was performed in a similar manner as described previously (Mengaud et al., 1996).
Salmonella wild-type 12 023 and sifA mutant were diluted at 1/30 from overnight culture in new broth TCS for 3 h 30 min with agitation. Infection was performed at moi 100/1 for 15 min in CO2 37°C, washed once with DMEM then incubate in DMEM 10% fetal calf serum and gentamicine 100 mg ml -1 for 1 h. Cells were washed once more and incubated for 5 h in DMEM 10% fetal calf serum and gentamicine 16 mg ml -1 .

Immunofluorescence analysis
Infected cells on glass coverslips were fixed with 3.7% paraformaldehyde in PBS for 30 min, washed in PBS and neutralized with 0.1 M glycine in PBS for 5 min. The cells were then permeabilized with 0.5% (v/v) Triton X-100 in PBS for 2 min and saturated in 0.2% gelatin for 5 min. The cells were then incubated with specific mono-or polyclonal antibodies diluted in PBS. Galectin-3 was immunostained using a specific monoclonal anti-galectin-3 M3/38 antibody used at 1/100 dilution (kindly given by Dr M.Benhamou, INSERM U699, Faculté de Médecine Xavier Bichat, Paris) or Mouse monoclonal anti-Galectin-3 antibody (BD Transduction 556904) used at 1/100 dilution. Bacteria were immunostained using anti-rabbit polyclonal S. flexneri LPS antibody (A. Phalipon, Institute Pasteur, Paris) used at 1/200 dilution. Salmonella serum anti-rabbit AgO at 1/300.

EM experiments
A total of 2.5 ¥ 10 5 J774 cells were grown overnight in 10 cm plates. A coverslip was always included to verify efficiency of infection by IF in every experiment. Infection was performed in a similar manner to infection followed by IF. Cells were fixed either 4% PFA or with 2% PFA and 0.1% glutaraldehyde FA in 0.1 M phosphate buffer pH 7.4 for 3 h at room temperature. Processing of cells for ultrathin cryosectioning and immunolabelling was done as described previously (Slot et al., 1991). Species specific secondary antibodies conjugated to gold were purchased from British Biocell (Cardiff, UK). For BSA-gold experiments, BSA-gold conjugated to 5 nm colloidal gold (UMC Utrecht, the Netherlands) was used at a final absorbance of 5 at 520 nm. J774 macrophages were incubated for 2 h at 37°C in RPMI-1640-Glutamax without FCS. A volume of 170 ml of BSA-gold was added to 5 ml medium and cells were incubated for 30 min at 37°C. Following incubation, cells were washed 3 times with warm medium (RPMI-1640-Glutamax) and incubated with medium containing 1% BSA for 10 min. Infection was performed in a similar manner to infection followed by IF. Cells were then fixed in the same manner described above.
USA) for wild-type and mutant CHO cells the members of PMM for critical discussions and Yuning Qian and Emma Salomonsson for valuable help and input. We thank the Microscopy platform of the Lille Pasteur campus for access to instruments and technical advices. I.P. was supported by an INSERM 'Poste Vert' postdoctoral fellowship and in part by Fondation pour la Recherche Médicale and 'Chateaubriand' fellowships. P.J.S. is a Howard-Hughes Medical Institute Scholar. The part of the work from Frank Lafont and Nicolas Dupont was supported by grants from the Ministère de la Recherche et des Technlogies -programme Chaire d'Excellence (042466) to F.L., and from the National Research Agency (ANR-05-MIIM-013). The part of the work from Hakon Leffler was sponsored by the Swedish Foundation for Strategic Research and the Swedish Research council.