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Magnetic Resonance Imaging of Tumors Colonized with Bacterial Ferritin-Expressing Escherichia coli

  • Philip J. Hill ,

    Contributed equally to this work with: Philip J. Hill, Jochen Stritzker

    Affiliations Genelux Corporation, San Diego, California, United States of America, School of Biosciences, University of Nottingham, Leicester, United Kingdom

  • Jochen Stritzker ,

    Contributed equally to this work with: Philip J. Hill, Jochen Stritzker

    Affiliations Genelux Corporation, San Diego, California, United States of America, Institute of Biochemistry, Biocenter, Würzburg, Germany, Institute for Molecular Infection Biology, Würzburg, Germany

  • Miriam Scadeng,

    Affiliation University of California San Diego Center for Functional MRI, La Jolla, California, United States of America

  • Ulrike Geissinger,

    Affiliation Genelux Corporation, San Diego, California, United States of America

  • Daniel Haddad,

    Affiliation Institute for Experimental Physics V and MRB Research Center, Würzburg, Germany

  • Thomas C. Basse-Lüsebrink,

    Affiliation Institute for Experimental Physics V and MRB Research Center, Würzburg, Germany

  • Uwe Gbureck,

    Affiliation Department of Functional Materials in Medicine and Dentistry, University of Würzburg, Würzburg, Germany

  • Peter Jakob,

    Affiliation Institute for Experimental Physics V and MRB Research Center, Würzburg, Germany

  • Aladar A. Szalay

    aaszalay@genelux.com

    Affiliations Genelux Corporation, San Diego, California, United States of America, Virchow Center, Biomedical Research, School of Medicine, University of Würzburg, Würzburg, Germany, Institute of Biochemistry, Biocenter, Würzburg, Germany, Institute for Molecular Infection Biology, Würzburg, Germany

Magnetic Resonance Imaging of Tumors Colonized with Bacterial Ferritin-Expressing Escherichia coli

  • Philip J. Hill, 
  • Jochen Stritzker, 
  • Miriam Scadeng, 
  • Ulrike Geissinger, 
  • Daniel Haddad, 
  • Thomas C. Basse-Lüsebrink, 
  • Uwe Gbureck, 
  • Peter Jakob, 
  • Aladar A. Szalay
PLOS
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Abstract

Background

Recent studies have shown that human ferritin can be used as a reporter of gene expression for magnetic resonance imaging (MRI). Bacteria also encode three classes of ferritin-type molecules with iron accumulation properties.

Methods and Findings

Here, we investigated whether these bacterial ferritins can also be used as MRI reporter genes and which of the bacterial ferritins is the most suitable reporter. Bacterial ferritins were overexpressed in probiotic E. coli Nissle 1917. Cultures of these bacteria were analyzed and those generating highest MRI contrast were further investigated in tumor bearing mice. Among members of three classes of bacterial ferritin tested, bacterioferritin showed the most promise as a reporter gene. Although all three proteins accumulated similar amounts of iron when overexpressed individually, bacterioferritin showed the highest contrast change. By site-directed mutagenesis we also show that the heme iron, a unique part of the bacterioferritin molecule, is not critical for MRI contrast change. Tumor-specific induction of bacterioferritin-expression in colonized tumors resulted in contrast changes within the bacteria-colonized tumors.

Conclusions

Our data suggest that colonization and gene expression by live vectors expressing bacterioferritin can be monitored by MRI due to contrast changes.

Introduction

Magnetic Resonance Imaging (MRI) has revolutionized in vivo imaging due to its non-invasive nature, high spatial resolution and extraordinary tissue contrast abilities.

The ability to non-invasively monitor gene expression in vivo in a longitudinal fashion further expands the utility of MRI as a tool in both basic research and ultimately in the clinical setting. For example, the development of reporter gene technologies that provide a readily measurable signal of transcriptional activity enable non-destructive gene expression studies during developmental or disease processes.

Many bacterial strains tested show preferential replication in solid tumors. Using those replication capabilities to develop cancer therapies and/or diagnostics has become an area of growing interest in recent years (see [1], [2], [3], [4], [5] for reviews). Among these are anaerobic bacteria like Bifidobacteria or Clostridia, whose spores germinate in the anoxic/hypoxic regions of tumor tissues prior to replication and show promising results in tumor therapy. In addition to these strict anaerobes, facultative anaerobic bacteria have also been shown to replicate inside solid tumors. Most of the bacteria used in these studies were derived from pathogenic bacteria. In several studies, we and others recently showed that probiotic E. coli Nissle 1917 (EcN) is also able to colonize and exclusively replicate in tumor tissue [6], [7], [8], [9]. In contrast to most tumor-targeting bacteria, probiotic bacteria do not replicate in organs (e.g., spleen and liver), perhaps due to the lack of virulence factors in this strain and lead to ratios exceeding 106∶1 of bacteria in the tumor compared to bacteria in specific organs.

The specificity of tumor-colonizing bacteria makes them suitable as simultaneous therapeutic and diagnostic agents for cancer. Therapeutic effects have already been demonstrated using Clostridia and Salmonella strains [10], [11]. Moreover, when such bacteria are engineered to express therapeutic genes (e.g. toxins, prodrug converting enzymes, therapeutic siRNAs, immunmodulatory molecules) they can elicit enhanced therapeutic effects (reviewed in [12]).

Therefore, for future clinical studies, it will be crucial to reliably detect and monitor the presence of bacteria in tumors (and in deep tissues) without needing to excise the respective tissues. So far, non-invasive optical fluorescence and/or low light imaging [6], [13], [14], [15], as well as SPECT or PET imaging [16], [17], [18] have been used to visualize the presence and distribution of bacteria within tumor-bearing mice. The current optical imaging modalities are, however, limited by light scattering and light extinction in tissues and are, therefore, mainly limited to small animal imaging or near-surface detection. In contrast, radiotracer imaging (e.g., PET) is not limited by tissue depth but shows poor spatial and anatomical resolution. MRI, on the other hand, has the potential to provide much better resolution, but is generally less sensitive.

Ferritins are ubiquitous iron storage proteins found in species ranging from microbes to man [19], [20]. Their function is to maintain a cellular reservoir of iron in a non-toxic, bioavailable form, and to protect the host cell from oxygen and its free radical products [21], [22]. This is achieved via a ferroxidase function that converts Fe2+ to Fe3+, the paramagnetic form of iron responsible for T2 contrast modification in MRI. In MRI transverse relaxation (T2) is shortened by the presence of iron and its reciprocal, known as R2 is directly proportional to iron concentration. Expression of human H-chain ferritin can be used to generate contrast in T2 weighted MRI in vivo [23], [24], [25], [26], [27], [28], [29], [30], [31], causing a local reduction in the signal intensity. The iron loading of human ferritin, which has been intensively studied at different magnetic field strengths, results in changes to the longitudinal (R1 = 1/T1) and transverse (R2 = 1/T2) relaxation rates of water [32], [33]. It has been shown that human ferritin creates a unique linear dependence of R2 on the magnetic field [34], [35].

In bacteria, three types of ferritin-like proteins are recognized: the archetypal ferritins (e.g., ftn), the heme-containing bacterioferritins (e.g., bfr), and the smaller Dps-type ferritins (e.g., fri of Listeria). All of these peptides are capable of forming endogenous nanoparticles consisting of a protein shell surrounding a hydrated iron oxide core of up to 4,500 iron atoms [22].

Three-dimensional structures have been deduced for human H-chain, horse spleen, rat liver, Escherichia coli, and bullfrog ferritins, as well as for the bacterioferritin (Bfr) of E. coli, demonstrating high homology between the different ferritin-like proteins [36], [37], [38], [39], [40]. The ferroxidase activity of mammalian ferritins is due to an active site (the ferroxidase center) in the middle of the four-helix bundle of each H-chain subunit where a dinuclear iron species is thought to form [36], [41]. Key amino acid residues in the ferroxidase centers of ferritins are conserved in bacterioferritins, suggesting that Bfr possesses a ferroxidase center similar to that of H-chain ferritins [42], [43]. This suggestion has been confirmed by studies on iron uptake by wild-type Bfr and site-directed mutants of Bfr [44], and is also supported by the presence of a dinuclear metal-binding site at the ferroxidase center in the Bfr crystal structure [40].

The presence of at least seven iron uptake systems in E. coli Nissle 1917 [45], [46] makes this strain an attractive candidate for iron acquisition. Here, we investigate the feasibility of using three different bacterial ferritins as reporter genes in EcN for magnetic resonance imaging in animal studies. We demonstrate that tumors colonized by EcN can be visualized and detected based on enhanced iron accumulation due to bacterial amplification, iron uptake, and iron storage upon exogenous induction using L-arabinose as a non-toxic inducer of gene expression.

Results

Iron accumulation in EcN over-expressing ferritin-like proteins

We evalutated different bacterial ferritin-like proteins as MRI reporter genes. We, therefore, overexpressed the genes for three different ferritins (E. coli ferritin-ftn; E. coli bacterioferritin-bfr; and L. monocytogenes non-heme iron-binding protein-fri) in E. coli Nissle 1917. To determine whether expression of additional iron storage proteins alone leads to increased iron accumulation in the bacteria, we chose to overexpress L. monocytognes fri instead of the structurally related E. coli dps. In contrast to Dps, Fri does not have DNA-binding capacity and, therefore, will not directly affect expression of other genes. Expression of GFP served as a negative control. Each of these genes was initially placed under control of the constitutive Bacillus megaterium xylA promoter (PxylA), which resulted in elevated expression of the target genes in EcN (Fig. 1A). The over-expression of the heme-containing Bfr resulted in a color change of the bacteria (to red) and the presence of the iron storage proteins was confirmed by Coomassie-staining of SDS-PAGE gels.

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Figure 1. Expression of various bacterial ferritin-like proteins in EcN.

A) The over-expression of heme containing Bfr results in a color change of the bacteria (upper picture, left tube). The overexpression of Bfr (18.4 kDa), Fri (18.0 kDa), and Ftn (19.3 kDa) was confirmed by Coomassie-stained SDS-PAGE gels. B) Only minimal effects on bacterial growth were observed when wild-type (wt) EcN or GFP- and bfr-encoding EcN (gfp + bfr) were grown in BHI. Standard deviation (<2%) of measured values is not shown.

https://doi.org/10.1371/journal.pone.0025409.g001

Even though the amount of Bfr reaches up to 35% of the total bacterial protein content, the effect on the bacterial growth (evaluated by optical density measurements at 600 nm) of the GFP and Bfr expressing strain was negligible (Fig. 1B).

Overnight growth of ferritin-expressing bacteria in iron-supplemented brain heart infusion (BHI) broth resulted in augmented iron accumulation in EcN cells. This was shown by quantitative inductively coupled plasma mass spectrometry (ICP-MS) analysis performed on bacterial lysates treated with Proteinase K to release iron atoms from the iron-storage proteins (Fig. 2A). The results indicate that increased iron accumulation occured upon overexpression of all the ferritin-like proteins but that the level of iron accumulation was dependent on the type of ferritin-like protein used. Cultures of Bfr-expressing EcN cells showed a red coloration due to high amounts of heme-containing Bfr (Fig. 1) and stored similar amounts of iron when compared to Ftn- (p = 0.21), but more than Fri- (p<0.01) or GFP-control bacteria (p<0.01). Ftn- and Fri-expressing EcN cells showed 5.9- and 3.6-fold more iron storage than control bacteria (Fig. 2A, grey bars, p<0.01).

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Figure 2. Effects of ferritin-like proteins on iron uptake and R2 relaxation.

A) Iron uptake and the effects on R2 relaxation were determined. Data represent mean (n = 3) plus standard deviation of one representative experiment. Expression of Bfr resulted in the highest iron uptake and the most obvious effects on R2 relaxation. B) Bacterial suspensions were put into wells of agarose-gels and images were obtained using a TR of 4000 ms with varying TEs to determine the R2 relaxation values in A). C) Expression of non-heme containing Bfr did not result in decreased R2 relaxation (p>0.05).

https://doi.org/10.1371/journal.pone.0025409.g002

Quantitative analysis of Coomassie-stained protein gels enabled calculation of the number of ferritin molecules and indirectly facilitated calculation of the average number of iron atoms per molecule of ferritin, using the ICP-MS data. Ftn was found to load the highest number of iron atoms (approx. 75 per holomer), followed by Bfr (approx. 44 iron atoms per holomer). Fri bound the lowest amount of iron atoms (approx. 10 per holomer).

Effects of iron-storage protein expression levels on R2 relaxation rates

In addition to the iron determination experiments, samples were prepared for R2 relaxation measurements. Bacteria were harvested from overnight cultures grown in BHI supplemented with ferrous citrate, washed with phosphate-buffered saline (PBS) and re-suspended in a 1∶1 mix of PBS and OCT embedding medium to prevent bacteria from sedimenting during T2 relaxation rate measurements. Samples were analyzed in a 7T small animal MRI scanner using a spin echo sequence and R2 relaxation rates were determined (Fig. 2A derived from values obtained from images in Fig. 2B). All ferritin overexpressing strains showed a significant increase in transverse relaxation compared to control cultures (p<0.01). Bfr overexpression resulted in the highest negative contrast, followed by Ftn and then Fri (p≤0.01 for all possible comparisons). As Bfr overexpressing EcN accumulated most iron and also showed highest impact on R2 relaxation (see below), all mouse experiments were performed with bfr-encoding EcN.

Enhanced R2 relaxation by Bfr

When diluting Bfr expressing bacteria in wild-type EcN (1∶1 and 1∶3 mix, respectively), the R2 relaxation decreased accordingly (R2-value: 0.9759) as shown in Figure S1. The concentration of bacteria in the agarose gels corresponded to a 40-fold concentrated over-night culture of 2−3×109 cfu/ml resulting in about 1×1011 cfu/ml. Therefore, 1×1011 cfu of the 100% pure Bfr-expressing EcN culture resulted in a T2 relaxation rate of approx. 30, 50% in a T2 relaxation rate of approx. 17 etc.

Furthermore, we found that Bfr had a 50% greater effect upon R2 relaxation than Ftn, even though iron levels in the samples were almost equivalent. Therefore, we decided to investigate whether Bfr was the most suitable reporter, due to the presence of heme iron on the Bfr molecule. Ferritin-like proteins isolated from bacteria may be free of heme or may contain heme, with bacterioferritins containing up to 12 heme molecules per holomer [21].

To determine the effect of the Bfr hemes on R2 relaxivity, we generated Bfr mutants in which the heme binding methionine residue (Met52) [40] was replaced using site-directed mutagenesis with either a leucine (Bfr M52L) or a histidine (Bfr M52H). These mutations resulted in a Bfr lacking heme groups [44]. Furthermore, an additional point mutation L19P was generated to disrupt the first alpha helix of Bfr, resulting in Bfr-expressing strains that did not accumulate additional iron (Fig. 2A).

The lack of heme binding capacity in Bfr M52L and Bfr M52H was readily observed when the bacteria were grown in iron-supplemented BHI overnight. While the Bfr-overexpressing strain showed the typical red color of heme, the heme-negative mutants appeared like wild-type EcN. Nevertheless, the iron uptake and storage was not negatively affected and R2 relaxation rates were not reduced in the absence of heme in Bfr M52L and Bfr M52H (Fig. 2C). However, effects on R2 relaxation and iron storage were abrogated when the helix-disrupting L19P mutation was introduced (p<0.01) (Fig. 2A).

Induction of bacterioferritin in murine tumors colonized by EcN

We recently reported the use of L-arabinose as an exogenous inducer for gene expression in tumor-colonizing EcN [6]. EcN cells carrying a plasmid with the luxABCDE-operon of Photorhabdus luminescens, under control of the PBAD-promoter, were injected into tumor-bearing mice. Light emission from EcN-colonized tumors was observed for about 24 h after systemic administration of L-arabinose, while no light was detected in the absence of L-arabinose. Here, we demonstrated that Bfr-carrying EcN colonize tumors equally well compared to wild-type EcN (data not shown) and used the same L-arabinose dependent promoter system for induction of bfr expression, which was the most promising as a MRI reporter gene. MRI was performed in a 7T small animal scanner (echo time (TE)/repetition time (TR): 30/4000 ms) before injection and after 1 h, and 24 h following intraperitoneal (IP) injection of L-arabinose. One hour after L-arabinose administration, the tumors revealed non-specific darkening around the tumor vasculature by MRI, compared to images of the same animals taken before injection of the inducer (data not shown). This darkening was probably due to osmotic effects caused by the inducer compound. Twenty four hours after inducer injection, the non-specific ‘L-arabinose-effect’ was no longer apparent. Further, a significant contrast increase was observed in tumors colonized with bacteria carrying plasmid DNA with the bfr gene under control of the inducible PBAD promoter (see Figure S2 for a 3D-reconstruction). This high contrast zone, lining the necrotic center of the tumor, was not observed in non-colonized tumors or in tumors colonized with a control EcN strain expressing GFP rather than Bfr (Fig. 3A). Furthermore, the dark zone strongly resembled the bacterial distribution within the tumor, as verified by independent immunofluorescent staining of 100 µm sections of another tumor which also was colonized with the bfr encoding EcN (Fig. 3B).

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Figure 3. Effects of induced Bfr expression on T2 weighted imaging in vivo.

A) Tumor-bearing mice were injected with PBS (no bacteria), an EcN control strain (EcN control), or EcN expressing Bfr upon induction with L-arabinose (EcN PBAD-bfr). Mice were imaged just before, and 24 h after injection of L-arabionse. Only in the Bfr overproducing EcN were distinct dark regions visible 24 h after the inducer was injected. B) Enlarged EcN PBAD-bfr colonized tumor before and 24 h after L-arabinose injection. Arrows point to the dark rim around the necrotic center of the tumor corresponding to immunofluorescent staining of EcN (red) in sections of (a different) tumor (right panels). Actin was stained green.

https://doi.org/10.1371/journal.pone.0025409.g003

Enhanced R2 relaxation in EcN-colonized tumors after bfr induction

We also measured the changes on R2 relaxation 24 h after induction of bfr expression in colonized tumors (Fig. 4). R2 relaxation maps were obtained from images of mice that were scanned with constant TR (4000 ms) but varying TE (10, 20, 40 and 80 ms). While no significant changes were observed in control tumors, the R2 relaxation around the necrotic region of tumors colonized with the bfr-encoding E. coli Nissle 1917 increased dramatically and was comparable to R2 relaxation rates obtained in overnight cultures (Fig. 2A and Fig. 1).

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Figure 4. R2 relaxation maps of tumors obtained before and after induction of protein expression.

Tumor-bearing mice were injected with control bacteria (left) or PBAD-bfr encoding EcN (right). Upper panels: Before, and 24 h after injection of L-arabinose, mice were imaged in a 7T small animal scanner (TE/TR 30/4000 ms:). Lower panels: In addition, images at TE: 10, 20, 40, and 80 ms (TR: 4000 ms) were obtained and used to generate R2 relaxation maps of tumors, which were overlayed on top of the images shown in the upper panels.

https://doi.org/10.1371/journal.pone.0025409.g004

In the tumors the concentration of bacteria was about 1−2×109 cfu/g. In the tumor sections (e.g., Fig. 3B), the bacteria were concentrated in a small area within the tumor mass (about 5% of the total tumor area in Fig. 3B resulting in a local concentration of approx. 3×1010 cfu/g). Furthermore, the bacterial concentration within the bacteria-colonized area was not evenly distributed. Therefore, the concentration of bacteria reached similar levels as those used in the agarose gels (1×1011 cfu/ml) which explains the similar R2-values.

Discussion

The iron storage properties of bacterial ferritin-like proteins have been known for years, yet no detailed investigations have been carried out to ascertain whether they are suitable as MRI reporter genes in vivo. Recent studies successfully tested the potential of magnetotactic bacteria (Magnetospirillum magneticum) or one of their genes (magA) for the detection of tumors [47], [48], as well as the human H-chain ferritin as a reporters for non-invasive MRI of mammalian cells in different applications [23], [24], [25], [26], [27], [28], [29], [30], [31]. Here we report, for the first time, the evaluation of bacterial ferritin-like genes (namely bfr, fri, and ftn) as MRI reporter genes expressed in prokaryotic organisms. We showed that overexpression of bacterial ferritin-like proteins, in general, can be used to significantly affect transverse relaxation in MRI.

When overexpressing the iron-storage proteins, we determined that the iron content of the bacteria significantly increased (up to 6-fold in Bfr-expressing EcN in culture), which is consistent with previous reports on their role as iron-storage proteins. Also, the average number of iron atoms we found per holomer were comparable to earlier reports [49], although we did detect more iron ions in Ftn (75, in contrast to 5–20). These findings might be due to the different growth conditions used or to the fact that more iron storage proteins were expressed in this system (about 35% and 16% of total protein were Bfr and Ftn, respectively, while previously 3–18% and 11–14% were reported [49]).

The most striking structural difference between bacterioferritin and the other ferritin-like proteins is the presence of heme, with up to 12 molecules bound to one 24-mer of Bfr. However, we found that heme-free Bfr-mutants still exhibited the same effects on R2 relaxation rates as wild-type Bfr. Therefore, the presence of heme in Bfr alone is not responsible for the enhanced effect of Bfr on R2 relaxation, compared to other ferritin-like reporters. Differences in the intrinsic mechanisms of iron packaging within the protein shell, even at similar iron concentrations, or the activity of the respective ferroxidase center could account for these findings. The differences in iron load might also explain the effects on R2 relaxation, since changes in iron contents within human ferritin was previously reported to affect longitudinal and transverse relaxation rates [33]. Differences in the structure (e.g. Bfr and Ftn are built of 24-mers, while Fri complexes are made out of 12 monomers) or in the maximal iron uptake capacity (Bfr and Ftn: 2000–3000, and Dps-like 12-mers like Fri: 500 Fe molecules/holomer [50]) did not seem to have marked influence on the generated contrast. Nevertheless, these studies showed that Bfr has the strongest effect on R2 relaxation under the experimental conditions used.

Induction of Bfr in EcN-colonized tumors provided unequivocal evidence for the utility of the bfr gene as a reporter. In the tumor regions colonized by EcN, we saw significant effects on contrast in T2-weighted images 24 h after administration of the inducer L-arabinose. The contrast change very strongly resembled the characteristic distribution of E. coli in tumors that could be observed in Fig. 3B as well as in previous publications by us and others [6], [8], [51], [52]. The yet unexplained L-arabinose effect early after administration, maybe due to osmotic effects resulting in unspecific darkening in some regions of the tumor. Furthermore, unspecific darkening was observed in the central region of some tumors (e.g., in the control tumors in Fig. 3) but these do not correlate with the bacterial distribution and are also visible in non-colonized tumors. Despite those effects, we are convinced that expression of Bfr offers great utility in MRI-based visualization of bacterial infections, as well as for colonization of tumors in deep tissues. Alternatively, constitutive overexpression of Bfr could provide a marker protein to track the movement of bacteria in complex systems by MRI, for example, in non-invasively monitoring bacterial distribution within tissues. Moreover, tumor-colonizing bacteria expressing bfr or similar genes under control of externally activated promoters could be used to efficiently locate tumors and metastases by comparing images generated pre- and post- gene induction and during cancer therapy. Also, it is likely that the described approach will be applicable to the study of intercranial as well as peripheral tumors given that L-arabinose can readily cross the blood brain barrier [53], [54]. The L-arabinose uptake in the brain has been shown to be competitively inhibited by glucose, suggesting that the transfer to the brain is mediated by glucose transporters as has been reported for similar transporters from erythrocytes and adipose tissue [55], [56]. In contrast to the recently described PET-imaging approach taking advantage of the endogenously expressed E. coli thymidine-kinase [18], the described system lacks the potential to quantify the number of bacteria within the tumor tissue and is dependent on the overexpression of bacterioferritin. Therefore, it cannot be used for imaging natural infections. However, the spatial resolution using MRI is much better when compared to PET. In addition, the L-arabinose inducible system allows imaging before and after contrast change which is not possible with the described PET-procedure. Therefore, both systems do have their advantages and limitations thus making a combination of both modalities desirable.

The use of ferritin-like molecules as reporter proteins may affect the iron homeostasis in the host organism. High levels of ferritin in the cytoplasm could potentially reduce the amount of free Fe2+ ions and, therefore, derepress iron uptake systems. In bacteria, this could result in the induction of siderophore biosynthesis and other iron-scavenging systems such as heme and transferrin-binding proteins. However, in most bacteria, when inside a mammalian host, the low free-iron availability acts as a signal to upregulate these systems. Moreover, any augmentation of iron uptake is likely to result in increased iron storage, which could increase the sensitivity of the Bfr reporter system. In these studies, we observed only minor differences in bacterial growth in cultures (Fig. 1B) and no differences in colonization of tumors between EcN and its derivatives (data not shown), which express either GFP alone or Bfr and GFP together. This indicates that Bfr expression has no detrimental effect on the bacterial physiology.

In conclusion, we propose that the use of bacterioferritin expression is not limited to tumor detection using bacteria alone. Although not experimentally tested, we think that bfr, carried by oncolytic viruses, would also enable the clinical monitoring of therapeutic efficacy of these biological therapies. However, the iron uptake into the virus infected cells must be guaranteed (e.g., by co-expression of a transferrin receptor). The expression of bacterioferritin in pathogenic organisms could also help to analyze and characterize infection processes in deep tissues of live (larger) animals in real time with high spatial resolution. Furthermore, the bacterioferritin-expressing live vectors could be equipped with additional reporter genes (e.g., luciferases or PET reporter genes), enabling multi-modality imaging approaches that combine the high spatial resolution of MRI with the high sensitivity of optical and/or PET imaging.

Materials and Methods

Ethics statement

All animal experiments were carried out in accordance with protocols approved by the Institutional Animal Care and Use Committee (IACUC) of Explora BIOLABS, located in San Diego Science Center (San Diego, USA) (protocol number: EB08-003), the IACUC of the University of California, San Diego (San Diego, USA) (protocol numbers: R06041 and R08335), and/or the “Regierung von Unterfranken” (Würzburg, Germany) (protocol number AZ 55.2-2531.01-17/08).

Bacterial strains and plasmids

Plasmid-cured E. coli Nissle 1917 (EcN) was transformed with plasmids indicated in Table 1. Primer sequences for PCRs used to construct the plasmids can be found in Table S1.

For construction of pBR322DEST(inv), the ccdB gene for negative selection and the chloramphenicol resistance gene cmR for counterselection, flanked by attR3 and attR4 recombination sites, were PCR amplified from pDESTR4-R3 using ccdBf ClaI and ccdBr ClaI primers, digested with ClaI, ligated with ClaI restricted and calf intestinal alkaline phosphatase treated pBR322. The mixture was then transformed into E. coli ccdB Survival T1R. Orientation of the insert was confirmed by PstI digest and agarose gel electrophoresis. In pBR322DEST, attR4 is closer to the β-Lactamase of pBR322 and, in pBR322DESTinv, the attR3 site is closer.

The ferritin entry-clone plasmids pENTR-bfr, pENTR-ftn, and pENTR-fri were constructed as follows: Each of the three open reading frames was PCR-amplified with the appropriate attB1F and attB2R primers, using genomic DNA (EcN for bfr and ftn; L. monocytogenes for fri) as a template, followed by a BP-recombination into pDONR221, according to the instructions of the manufacturer (Invitrogen, Carlsbad, USA). For construction of plasmids pENTR-bfrM52L, pENTR-bfrM52H, and pENTR-bfrL19P, point mutations were inserted using recombinant PCR. The 5′-end of the gene was PCR-amplified using pENTR-bfr as a template and primers bfr-attB1F and bfr-M52L-rev, bfr-M52H-rev, or bfr-L19P-rev while the 3′-end was amplified using bfr-attB2R and bfr-M52L-for, bfr-M52H-for, or bfr-L19P-for. In a second PCR, the 5′- and 3′-end products were mixed and bfr-attB1F and attB2R were used as primers. The resulting PCR fragment was used for a BP-recombination into pDONR221.

The plasmids pBR322DEST-PBAD-bfr-GFP, pBR322DESTinv-PxylA-bfr-GFP, pBR322DESTinv-PxylA-ftn-GFP, and pBR322DESTinv-PxylA-fri-GFP were obtained after 3-way LR-recombination performed as described in the Multisite Gateway® three vector construction kit protocol of the manufacturer (Invitrogen, Carlsbad, USA). We chose to use pBR322 as plasmid backbone as this plasmid was the most stable plasmid that we tested in EcN both in culture as well as in tumor bearing mice (data not shown).

NMR and MRI imaging of E. coli cells and E. coli colonized tumors

Twenty ml of overnight cultures of EcN strains grown in BHI supplemented with 150 µM ferrous citrate were washed twice and resuspended in 20 ml PBS. During the second wash, the amount of bacteria per ml was adjusted so that each suspension had identical optical densities at 600 nm.

The pellet derived from this suspension was resuspended in 500 µl PBS/OCT (1:1 mixture), loaded into wells of an agarose gel (5% agarose in degassed water), and overlayed with 5% agarose in water. The gel was then imaged in a 7T small animal MRI machine (GE Medical Systems, Brooksville, Florida, USA) to calculate the T2 changes in the gels (TE/TR 10–160/4000 ms, Matrix 256×128 slice thickness 0.3 mm, 3 averages). Alternatively, 250 µl of the suspension was added to 0.3 ml PCR-tubes and analyzed (multi spin echo sequence with TE/TR 20–320/1400 ms, slice thickness 2 mm, 2 averages, matrix 256×256, and field of view 60×40 mm2) in a 7T small animal scanner (Bruker, Ettlingen, Germany).

For tumor models, BALB/c mice were obtained from Harlan (Indianapolis, Indiana, or Borchen, Germany). Five- to six-week-old female mice were injected s.c. with 3.3×104 murine 4T1 mammary cancer cells (ATCC: CRL-2539) re-suspended in 100 µl PBS. The authentication of cells were analyzed by microscopy and growth in immunocompetent BALB/c mice. For colonization studies, bacteria were grown in 5 ml of LB-broth containing 100 µg ml−1 ampicillin to an optical density of 0.4 at 600 nm (approx. 2×108 CFU/ml). The cells were washed twice in PBS, then diluted to 1×107 CFU ml−1. One hundred µl aliquots of the suspension were injected into the lateral tail veins of 4T1 tumor-bearing BALB/c mice 14 days after cell implantation. MRI of the tumor-bearing mice began 3 days after inoculation with bacteria. Following pre-induction scans, 200 µl of 25% L-arabinose was administered i.p. Mice were scanned 1 h and 24 h after arabinose administration. The mice were imaged under 1.5% Isoflurane anesthesia in a 7T small animal MRI machine. (GE Medical Systems MW) (TE/TR 10–80/4000 ms, Matrix 256×128, slice thickness 0.3 mm, Bandwidth 31.25, 3 averages.) T2 changes in the tumors were calculated using an in-house Matlab script and the T2 values were pseudocolored. Anatomical images were also acquired for the overlay using the same matrix. Imaging parameters: TE/TR 30/4000 ms, 6 averages.

Localization of bacteria in colonized tumors by 3D image reconstruction

The data obtained from MRI were processed using ImageJ 1.37v and Amira V3.0. The tumor regions were manually segmented in each individual axial slice. The segmented data were used to generate three-dimensional surfaces. To visualize changes in the iron content within the tumor, the dark regions, presumably corresponding to the iron-loaded bacteria, were segmented automatically. Within each slice, all signal intensities from 0 to 40% of the mean grey level in the water phantom next to the tumor were selected. The water phantom was used as reference to eliminate variations in the signal intensities caused by the inhomogeneity of the coil. This approach was verified by comparing the mean grey level of the lightest region of the tumor with the mean grey level of the water phantom, showing that the ratios stay constant (data not shown). Low signal intensities at the tumor surface were omitted, since the bacteria are located at the border of necrotic and living tumor tissue within the tumor [6].

Histology and fluorescence microscopy

Histology and fluorescence microscopy were performed essentially as described previously [6]. In brief, tumors were excised, snap-frozen in liquid N2, fixed, washed in PBS and embedded in 5% w/v low melt agarose (AppliChem, Darmstadt, Germany) in PBS.

Tissue sections were cut with a vibratome at a thickness of 100 µm and permeabilized in PBS containing 0.3% Triton X-100 for one hour. Sections were incubated for 12 to 15 h at room temperature with FITC-labeled Phalloidin (1∶200; Sigma, Taufkirchen, Germany) and biotinylated anti-E.coli antibodies (1∶200; Sigma, Taufkirchen, Germany). After several rinses with PBS, sections were incubated for 5 h with Cy3-labelled streptavidin, again rinsed with PBS, incubated for 1 h in 60% (v/v) glycerol in PBS, and mounted with 80% (v/v) glycerol in PBS.

Specimens were examined with the Stereo-Fluorescence microscope (MZ16 FA, Leica, Heerbrugg, Switzerland) that is equipped with a digital CCD camera (DC500, Leica). Digital images (1300×1030 pixel color images) were processed with Photoshop 7.0 (Adobe Systems) and merged to yield pseudo-colored pictures.

Protein determination and iron uptake studies

For in vitro iron uptake studies, bacteria were grown at 37°C overnight in brain heart infusion broth (BHI), supplemented with 150 µM ferrous citrate and 100 µg ml−1 ampicillin. Twenty ml of overnight cultures were washed twice and resuspended in 20 ml ddH2O.

One ml of the suspension was concentrated tenfold and the protein content was determined using the Bradford assay (BioRad, Hercules, CA, USA). For SDS-PAGE, 10 µg protein samples were mixed with Laemmli buffer, incubated at 96°C for 5 min, then loaded onto a 15% SDS-polyacrylamide gel and electrophoresed at 200 mA prior to staining with Coomassie Blue. The percentage of ferritin-like proteins in the samples was determined using densitometry of the stained gels, which allowed the estimation of the quantity of ferritin-like molecules in the bacteria.

The remaining bacteria were harvested, resuspended in 2 ml ddH2O containing 10 µg Proteinase K, and incubated at 37°C for 24 h. Nitric acid (63%, 0.5 ml) was added to the cleared solution and the samples incubated on ice for 2 h. Following filtration through a 0.2 µm filter (Millipore), samples were analyzed by Inductively Coupled Plasma Mass Spectrometry (Varian, Darmstadt, Germany) to determine iron concentration as 57Fe against standard solutions (Merck, Darmstadt, Germany) of 500 and 1000 ppb Fe2+. Samples with higher concentration than 1000 ppb were diluted with double-distilled water to be within the calibration range.

Once the additional number of iron atoms in ferritin-like protein expressing strains compared to control strains was determined, the average number of iron ions within each holomer was calculated. For this calculation, an assumption was made that the additional iron was solely stored in the overexpressed proteins.

Supporting Information

Figure S1.

T2 relaxation rate is dependent on the concentration of Bfr overexpressing EcN. Bfr overexpressing EcN were diluted in control (GFP-expressing) EcN and T2 relaxation rates were determined (Data represent mean (n = 3) +/− standard deviation of one representative experiment). T2 relaxation rates showed linear correlation (R2-value of 0.9759) with the concentration of Bfr-overexpressing EcN.

https://doi.org/10.1371/journal.pone.0025409.s001

(TIF)

Figure S2.

Three-dimensional reconstruction of the EcN PBAD-bfr colonized tumor from Fig. 3 before and 24 h after L-arabinose injection. The surface of the tumor is transparent while dark voxels appear yellow (before L-arabinose injection) or red (after L-arabinose). The upper images show the 3D-reconstrcution of the tumor together with the plane that is shown in Fig. 3A. In the middle the same 3D-reconstruction is shown without the pictures from Fig. 3A. The lower images show the same tumor but from another angle.

https://doi.org/10.1371/journal.pone.0025409.s002

(TIF)

Table S1.

Primer sequences used in this study.

https://doi.org/10.1371/journal.pone.0025409.s003

(DOCX)

Acknowledgments

The authors wish to thank Joanna Perthen for assistance with Matlab scripts for data processing of the in vivo R2 maps and Andrea Feathers for editorial assistance.

Author Contributions

Conceived and designed the experiments: PJH JS MS U. Geissinger DH AAS. Performed the experiments: PJH JS MS U. Geissinger DH TCB U. Gbureck. Analyzed the data: PJH JS MS DH TCB. Contributed reagents/materials/analysis tools: PJH JS MS TCB PJ. Wrote the paper: PJH JS AAS.

References

  1. 1. Morrissey D, O'Sullivan GC, Tangney M (2010) Tumour targeting with systemically administered bacteria. Curr Gene Ther 10: 3–14.D. MorrisseyGC O'SullivanM. Tangney2010Tumour targeting with systemically administered bacteria.Curr Gene Ther10314
  2. 2. Van Mellaert L, Barbe S, Anne J (2006) Clostridium spores as anti-tumour agents. Trends Microbiol 14: 190–196.L. Van MellaertS. BarbeJ. Anne2006Clostridium spores as anti-tumour agents.Trends Microbiol14190196
  3. 3. Vassaux G, Nitcheu J, Jezzard S, Lemoine NR (2006) Bacterial gene therapy strategies. J Pathol 208: 290–298.G. VassauxJ. NitcheuS. JezzardNR Lemoine2006Bacterial gene therapy strategies.J Pathol208290298
  4. 4. Ryan RM, Green J, Lewis CE (2006) Use of bacteria in anti-cancer therapies. Bioessays 28: 84–94.RM RyanJ. GreenCE Lewis2006Use of bacteria in anti-cancer therapies.Bioessays288494
  5. 5. Taniguchi S, Fujimori M, Sasaki T, Tsutsui H, Shimatani Y, et al. (2010) Targeting solid tumors with non-pathogenic obligate anaerobic bacteria. Cancer Sci 101: 1925–1932.S. TaniguchiM. FujimoriT. SasakiH. TsutsuiY. Shimatani2010Targeting solid tumors with non-pathogenic obligate anaerobic bacteria.Cancer Sci10119251932
  6. 6. Stritzker J, Weibel S, Hill PJ, Oelschlaeger TA, Goebel W, et al. (2007) Tumor-specific colonization, tissue distribution, and gene induction by probiotic Escherichia coli Nissle 1917 in live mice. Int J Med Microbiol. J. StritzkerS. WeibelPJ HillTA OelschlaegerW. Goebel2007Tumor-specific colonization, tissue distribution, and gene induction by probiotic Escherichia coli Nissle 1917 in live mice.Int J Med Microbiol
  7. 7. Stritzker J, Hill PJ, Gentschev I, Szalay AA (2010) Myristoylation negative msbB-mutants of probiotic E. coli Nissle 1917 retain tumor specific colonization properties but show less side effects in immunocompetent mice. Bioeng Bugs 1: 139–145.J. StritzkerPJ HillI. GentschevAA Szalay2010Myristoylation negative msbB-mutants of probiotic E. coli Nissle 1917 retain tumor specific colonization properties but show less side effects in immunocompetent mice.Bioeng Bugs1139145
  8. 8. Stritzker J, Weibel S, Seubert C, Gotz A, Tresch A, et al. (2010) Enterobacterial tumor colonization in mice depends on bacterial metabolism and macrophages but is independent of chemotaxis and motility. Int J Med Microbiol 300: 449–456.J. StritzkerS. WeibelC. SeubertA. GotzA. Tresch2010Enterobacterial tumor colonization in mice depends on bacterial metabolism and macrophages but is independent of chemotaxis and motility.Int J Med Microbiol300449456
  9. 9. Loessner H, Leschner S, Endmann A, Westphal K, Wolf K, et al. (2009) Drug-inducible remote control of gene expression by probiotic Escherichia coli Nissle 1917 in intestine, tumor and gall bladder of mice. Microbes Infect 11: 1097–1105.H. LoessnerS. LeschnerA. EndmannK. WestphalK. Wolf2009Drug-inducible remote control of gene expression by probiotic Escherichia coli Nissle 1917 in intestine, tumor and gall bladder of mice.Microbes Infect1110971105
  10. 10. Wall DM, Srikanth CV, McCormick BA (2010) Targeting tumors with salmonella Typhimurium- potential for therapy. Oncotarget 1: 721–728.DM WallCV SrikanthBA McCormick2010Targeting tumors with salmonella Typhimurium- potential for therapy.Oncotarget1721728
  11. 11. Pawelek JM, Low KB, Bermudes D (2003) Bacteria as tumour-targeting vectors. Lancet Oncol 4: 548–556.JM PawelekKB LowD. Bermudes2003Bacteria as tumour-targeting vectors.Lancet Oncol4548556
  12. 12. Leschner S, Weiss S (2010) Salmonella-allies in the fight against cancer. J Mol Med 88: 763–773.S. LeschnerS. Weiss2010Salmonella-allies in the fight against cancer.J Mol Med88763773
  13. 13. Riedel CU, Monk IR, Casey PG, Morrissey D, O'Sullivan G C, et al. (2007) An improved luciferase tagging system for Listeria monocytogenes allows real-time monitoring in vivo and in vitro. Appl Environ Microbiol. CU RiedelIR MonkPG CaseyD. MorrisseyC. O'Sullivan G2007An improved luciferase tagging system for Listeria monocytogenes allows real-time monitoring in vivo and in vitro.Appl Environ Microbiol
  14. 14. Yu YA, Shabahang S, Timiryasova TM, Zhang Q, Beltz R, et al. (2004) Visualization of tumors and metastases in live animals with bacteria and vaccinia virus encoding light-emitting proteins. Nat Biotechnol 22: 313–320.YA YuS. ShabahangTM TimiryasovaQ. ZhangR. Beltz2004Visualization of tumors and metastases in live animals with bacteria and vaccinia virus encoding light-emitting proteins.Nat Biotechnol22313320
  15. 15. Zhao M, Yang M, Ma H, Li X, Tan X, et al. (2006) Targeted therapy with a Salmonella typhimurium leucine-arginine auxotroph cures orthotopic human breast tumors in nude mice. Cancer Res 66: 7647–7652.M. ZhaoM. YangH. MaX. LiX. Tan2006Targeted therapy with a Salmonella typhimurium leucine-arginine auxotroph cures orthotopic human breast tumors in nude mice.Cancer Res6676477652
  16. 16. Soghomonyan SA, Doubrovin M, Pike J, Luo X, Ittensohn M, et al. (2005) Positron emission tomography (PET) imaging of tumor-localized Salmonella expressing HSV1-TK. Cancer Gene Ther 12: 101–108.SA SoghomonyanM. DoubrovinJ. PikeX. LuoM. Ittensohn2005Positron emission tomography (PET) imaging of tumor-localized Salmonella expressing HSV1-TK.Cancer Gene Ther12101108
  17. 17. Bettegowda C, Foss CA, Cheong I, Wang Y, Diaz L, et al. (2005) Imaging bacterial infections with radiolabeled 1-(2′-deoxy-2′-fluoro-beta-D-arabinofuranosyl)-5-iodouracil. Proc Natl Acad Sci U S A 102: 1145–1150.C. BettegowdaCA FossI. CheongY. WangL. Diaz2005Imaging bacterial infections with radiolabeled 1-(2′-deoxy-2′-fluoro-beta-D-arabinofuranosyl)-5-iodouracil.Proc Natl Acad Sci U S A10211451150
  18. 18. Brader P, Stritzker J, Riedl CC, Zanzonico P, Cai S, et al. (2008) Escherichia coli Nissle 1917 Facilitates Tumor Detection by Positron Emission Tomography and Optical Imaging. Clinical Can Res. P. BraderJ. StritzkerCC RiedlP. ZanzonicoS. Cai2008Escherichia coli Nissle 1917 Facilitates Tumor Detection by Positron Emission Tomography and Optical Imaging.Clinical Can Res
  19. 19. Harrison PM, Hempstead PD, Artymiuk PJ, Andrews SC (1998) Structure-function relationships in the ferritins. Met Ions Biol Syst 35: 435–477.PM HarrisonPD HempsteadPJ ArtymiukSC Andrews1998Structure-function relationships in the ferritins.Met Ions Biol Syst35435477
  20. 20. Andrews SC, Arosio P, Bottke W, Briat JF, von Darl M, et al. (1992) Structure, function, and evolution of ferritins. J Inorg Biochem 47: 161–174.SC AndrewsP. ArosioW. BottkeJF BriatM. von Darl1992Structure, function, and evolution of ferritins.J Inorg Biochem47161174
  21. 21. Carrondo MA (2003) Ferritins, iron uptake and storage from the bacterioferritin viewpoint. Embo J 22: 1959–1968.MA Carrondo2003Ferritins, iron uptake and storage from the bacterioferritin viewpoint.Embo J2219591968
  22. 22. Theil EC (1987) Ferritin: structure, gene regulation, and cellular function in animals, plants, and microorganisms. Annu Rev Biochem 56: 289–315.EC Theil1987Ferritin: structure, gene regulation, and cellular function in animals, plants, and microorganisms.Annu Rev Biochem56289315
  23. 23. Cohen B, Dafni H, Meir G, Harmelin A, Neeman M (2005) Ferritin as an endogenous MRI reporter for noninvasive imaging of gene expression in C6 glioma tumors. Neoplasia 7: 109–117.B. CohenH. DafniG. MeirA. HarmelinM. Neeman2005Ferritin as an endogenous MRI reporter for noninvasive imaging of gene expression in C6 glioma tumors.Neoplasia7109117
  24. 24. Cohen B, Ziv K, Plaks V, Israely T, Kalchenko V, et al. (2007) MRI detection of transcriptional regulation of gene expression in transgenic mice. Nat Med 13: 498–503.B. CohenK. ZivV. PlaksT. IsraelyV. Kalchenko2007MRI detection of transcriptional regulation of gene expression in transgenic mice.Nat Med13498503
  25. 25. Deans AE, Wadghiri YZ, Bernas LM, Yu X, Rutt BK, et al. (2006) Cellular MRI contrast via coexpression of transferrin receptor and ferritin. Magn Reson Med 56: 51–59.AE DeansYZ WadghiriLM BernasX. YuBK Rutt2006Cellular MRI contrast via coexpression of transferrin receptor and ferritin.Magn Reson Med565159
  26. 26. Genove G, DeMarco U, Xu H, Goins WF, Ahrens ET (2005) A new transgene reporter for in vivo magnetic resonance imaging. Nat Med 11: 450–454.G. GenoveU. DeMarcoH. XuWF GoinsET Ahrens2005A new transgene reporter for in vivo magnetic resonance imaging.Nat Med11450454
  27. 27. Hasegawa S, Furukawa T, Saga T (2010) Molecular MR imaging of cancer gene therapy: ferritin transgene reporter takes the stage. Magn Reson Med Sci 9: 37–47.S. HasegawaT. FurukawaT. Saga2010Molecular MR imaging of cancer gene therapy: ferritin transgene reporter takes the stage.Magn Reson Med Sci93747
  28. 28. Ono K, Fuma K, Tabata K, Sawada M (2009) Ferritin reporter used for gene expression imaging by magnetic resonance. Biochem Biophys Res Commun 388: 589–594.K. OnoK. FumaK. TabataM. Sawada2009Ferritin reporter used for gene expression imaging by magnetic resonance.Biochem Biophys Res Commun388589594
  29. 29. Aung W, Hasegawa S, Koshikawa-Yano M, Obata T, Ikehira H, et al. (2009) Visualization of in vivo electroporation-mediated transgene expression in experimental tumors by optical and magnetic resonance imaging. Gene Ther 16: 830–839.W. AungS. HasegawaM. Koshikawa-YanoT. ObataH. Ikehira2009Visualization of in vivo electroporation-mediated transgene expression in experimental tumors by optical and magnetic resonance imaging.Gene Ther16830839
  30. 30. Liu J, Cheng EC, Long RC, Yang SH, Wang L, et al. (2009) Noninvasive monitoring of embryonic stem cells in vivo with MRI transgene reporter. Tissue Eng Part C Methods 15: 739–747.J. LiuEC ChengRC LongSH YangL. Wang2009Noninvasive monitoring of embryonic stem cells in vivo with MRI transgene reporter.Tissue Eng Part C Methods15739747
  31. 31. Kim HS, Cho HR, Choi SH, Woo JS, Moon WK (2010) In vivo imaging of tumor transduced with bimodal lentiviral vector encoding human ferritin and green fluorescent protein on a 1.5T clinical magnetic resonance scanner. Cancer Res 70: 7315–7324.HS KimHR ChoSH ChoiJS WooWK Moon2010In vivo imaging of tumor transduced with bimodal lentiviral vector encoding human ferritin and green fluorescent protein on a 1.5T clinical magnetic resonance scanner.Cancer Res7073157324
  32. 32. Brooks RA, Vymazal J, Goldfarb RB, Bulte JW, Aisen P (1998) Relaxometry and magnetometry of ferritin. Magn Reson Med 40: 227–235.RA BrooksJ. VymazalRB GoldfarbJW BulteP. Aisen1998Relaxometry and magnetometry of ferritin.Magn Reson Med40227235
  33. 33. Vymazal J, Zak O, Bulte JW, Aisen P, Brooks RA (1996) T1 and T2 of ferritin solutions: effect of loading factor. Magn Reson Med 36: 61–65.J. VymazalO. ZakJW BulteP. AisenRA Brooks1996T1 and T2 of ferritin solutions: effect of loading factor.Magn Reson Med366165
  34. 34. Gossuin Y, Muller RN, Gillis P (2004) Relaxation induced by ferritin: a better understanding for an improved MRI iron quantification. NMR Biomed 17: 427–432.Y. GossuinRN MullerP. Gillis2004Relaxation induced by ferritin: a better understanding for an improved MRI iron quantification.NMR Biomed17427432
  35. 35. Vymazal J, Brooks RA, Zak O, McRill C, Shen C, et al. (1992) T1 and T2 of ferritin at different field strengths: effect on MRI. Magn Reson Med 27: 368–374.J. VymazalRA BrooksO. ZakC. McRillC. Shen1992T1 and T2 of ferritin at different field strengths: effect on MRI.Magn Reson Med27368374
  36. 36. Lawson DM, Artymiuk PJ, Yewdall SJ, Smith JM, Livingstone JC, et al. (1991) Solving the structure of human H ferritin by genetically engineering intermolecular crystal contacts. Nature 349: 541–544.DM LawsonPJ ArtymiukSJ YewdallJM SmithJC Livingstone1991Solving the structure of human H ferritin by genetically engineering intermolecular crystal contacts.Nature349541544
  37. 37. Ford GC, Harrison PM, Rice DW, Smith JM, Treffry A, et al. (1984) Ferritin: design and formation of an iron-storage molecule. Philos Trans R Soc Lond B Biol Sci 304: 551–565.GC FordPM HarrisonDW RiceJM SmithA. Treffry1984Ferritin: design and formation of an iron-storage molecule.Philos Trans R Soc Lond B Biol Sci304551565
  38. 38. Hempstead PD, Hudson AJ, Artymiuk PJ, Andrews SC, Banfield MJ, et al. (1994) Direct observation of the iron binding sites in a ferritin. FEBS Lett 350: 258–262.PD HempsteadAJ HudsonPJ ArtymiukSC AndrewsMJ Banfield1994Direct observation of the iron binding sites in a ferritin.FEBS Lett350258262
  39. 39. Trikha J, Waldo GS, Lewandowski FA, Ha Y, Theil EC, et al. (1994) Crystallization and structural analysis of bullfrog red cell L-subunit ferritins. Proteins 18: 107–118.J. TrikhaGS WaldoFA LewandowskiY. HaEC Theil1994Crystallization and structural analysis of bullfrog red cell L-subunit ferritins.Proteins18107118
  40. 40. Frolow F, Kalb AJ, Yariv J (1994) Structure of a unique twofold symmetric haem-binding site. Nat Struct Biol 1: 453–460.F. FrolowAJ KalbJ. Yariv1994Structure of a unique twofold symmetric haem-binding site.Nat Struct Biol1453460
  41. 41. Lawson DM, Treffry A, Artymiuk PJ, Harrison PM, Yewdall SJ, et al. (1989) Identification of the ferroxidase centre in ferritin. FEBS Lett 254: 207–210.DM LawsonA. TreffryPJ ArtymiukPM HarrisonSJ Yewdall1989Identification of the ferroxidase centre in ferritin.FEBS Lett254207210
  42. 42. Andrews SC, Findlay JB, Guest JR, Harrison PM, Keen JN, et al. (1991) Physical, chemical and immunological properties of the bacterioferritins of Escherichia coli, Pseudomonas aeruginosa and Azotobacter vinelandii. Biochim Biophys Acta 1078: 111–116.SC AndrewsJB FindlayJR GuestPM HarrisonJN Keen1991Physical, chemical and immunological properties of the bacterioferritins of Escherichia coli, Pseudomonas aeruginosa and Azotobacter vinelandii.Biochim Biophys Acta1078111116
  43. 43. Grossman MJ, Hinton SM, Minak-Bernero V, Slaughter C, Stiefel EI (1992) Unification of the ferritin family of proteins. Proc Natl Acad Sci U S A 89: 2419–2423.MJ GrossmanSM HintonV. Minak-BerneroC. SlaughterEI Stiefel1992Unification of the ferritin family of proteins.Proc Natl Acad Sci U S A8924192423
  44. 44. Andrews SC, Le Brun NE, Barynin V, Thomson AJ, Moore GR, et al. (1995) Site-directed replacement of the coaxial heme ligands of bacterioferritin generates heme-free variants. J Biol Chem 270: 23268–23274.SC AndrewsNE Le BrunV. BaryninAJ ThomsonGR Moore1995Site-directed replacement of the coaxial heme ligands of bacterioferritin generates heme-free variants.J Biol Chem2702326823274
  45. 45. Grosse C, Scherer J, Koch D, Otto M, Taudte N, et al. (2006) A new ferrous iron-uptake transporter, EfeU (YcdN), from Escherichia coli. Mol Microbiol 62: 120–131.C. GrosseJ. SchererD. KochM. OttoN. Taudte2006A new ferrous iron-uptake transporter, EfeU (YcdN), from Escherichia coli.Mol Microbiol62120131
  46. 46. Grozdanov L, Raasch C, Schulze J, Sonnenborn U, Gottschalk G, et al. (2004) Analysis of the genome structure of the nonpathogenic probiotic Escherichia coli strain Nissle 1917. J Bacteriol 186: 5432–5441.L. GrozdanovC. RaaschJ. SchulzeU. SonnenbornG. Gottschalk2004Analysis of the genome structure of the nonpathogenic probiotic Escherichia coli strain Nissle 1917.J Bacteriol18654325441
  47. 47. Benoit MR, Mayer D, Barak Y, Chen IY, Hu W, et al. (2009) Visualizing implanted tumors in mice with magnetic resonance imaging using magnetotactic bacteria. Clin Cancer Res 15: 5170–5177.MR BenoitD. MayerY. BarakIY ChenW. Hu2009Visualizing implanted tumors in mice with magnetic resonance imaging using magnetotactic bacteria.Clin Cancer Res1551705177
  48. 48. Zurkiya O, Chan AW, Hu X (2008) MagA is sufficient for producing magnetic nanoparticles in mammalian cells, making it an MRI reporter. Magn Reson Med 59: 1225–1231.O. ZurkiyaAW ChanX. Hu2008MagA is sufficient for producing magnetic nanoparticles in mammalian cells, making it an MRI reporter.Magn Reson Med5912251231
  49. 49. Hudson AJ, Andrews SC, Hawkins C, Williams JM, Izuhara M, et al. (1993) Overproduction, purification and characterization of the Escherichia coli ferritin. Eur J Biochem 218: 985–995.AJ HudsonSC AndrewsC. HawkinsJM WilliamsM. Izuhara1993Overproduction, purification and characterization of the Escherichia coli ferritin.Eur J Biochem218985995
  50. 50. Andrews SC, Robinson AK, Rodriguez-Quinones F (2003) Bacterial iron homeostasis. FEMS Microbiol Rev 27: 215–237.SC AndrewsAK RobinsonF. Rodriguez-Quinones2003Bacterial iron homeostasis.FEMS Microbiol Rev27215237
  51. 51. Weibel S, Stritzker J, Eck M, Goebel W, Szalay AA (2008) Colonization of experimental murine breast tumours by Escherichia coli K-12 significantly alters the tumour microenvironment. Cell Microbiol 10: 1235–1248.S. WeibelJ. StritzkerM. EckW. GoebelAA Szalay2008Colonization of experimental murine breast tumours by Escherichia coli K-12 significantly alters the tumour microenvironment.Cell Microbiol1012351248
  52. 52. Westphal K, Leschner S, Jablonska J, Loessner H, Weiss S (2008) Containment of tumor-colonizing bacteria by host neutrophils. Cancer Res 68: 2952–2960.K. WestphalS. LeschnerJ. JablonskaH. LoessnerS. Weiss2008Containment of tumor-colonizing bacteria by host neutrophils.Cancer Res6829522960
  53. 53. Buschiazzo PM, Terrell EB, Regen DM (1970) Sugar transport across the blood-brain barrier. Am J Physiol 219: 1505–1513.PM BuschiazzoEB TerrellDM Regen1970Sugar transport across the blood-brain barrier.Am J Physiol21915051513
  54. 54. Eidelberg E, Fishman J, Hams ML (1967) Penetration of sugars across the blood-brain barrier. J Physiol 191: 47–57.E. EidelbergJ. FishmanML Hams1967Penetration of sugars across the blood-brain barrier.J Physiol1914757
  55. 55. Henderson PJ, Maiden MC (1990) Homologous sugar transport proteins in Escherichia coli and their relatives in both prokaryotes and eukaryotes. Philos Trans R Soc Lond B Biol Sci 326: 391–410.PJ HendersonMC Maiden1990Homologous sugar transport proteins in Escherichia coli and their relatives in both prokaryotes and eukaryotes.Philos Trans R Soc Lond B Biol Sci326391410
  56. 56. Foley JE, Cushman SW, Salans LB (1978) Glucose transport in isolated rat adipocytes with measurements of L-arabinose uptake. Am J Physiol 234: E112–119.JE FoleySW CushmanLB Salans1978Glucose transport in isolated rat adipocytes with measurements of L-arabinose uptake.Am J Physiol234E112119