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Combinatorial selection of high affinity RNA ligands to live African trypanosomes
Introduction
Materials And Methods
Trypanosomes
Oligodeoxynucleotide and RNA pool synthesis
In vitro selection
Determination of binding parameters
Run-off transcription, 5[prime]-end-labelling and biotinylation
RNA structure determination
Photo-crosslinking of RNA aptamers to living cells
Fluorescence in situ hybridisation
Results
Selection of RNAs that bind to live trypanosomes
Binding efficiencies of the RNA aptamers
RNA structure determination
Identification and localisation of the binding target(s)
Quantitative characterisation of the binding reaction
Binding to other trypanosome strains
Discussion
Acknowledgements
References
Combinatorial selection of high affinity RNA ligands to live African trypanosomes
ABSTRACT
INTRODUCTION
African trypanosomes are unicellular, uniflagellated protozoan parasites. They cause African trypanosomiasis or sleeping sickness, a chronic disease in humans as well as in wild and domestic animals. An estimated 50 000 000 people world wide are at risk of such an infection, and Smith et al. (1) recently estimated a number of about 300 000 newly infected cases/year. Moreover, the disease in domestic animals considerably limits agricultural development in a substantial part of Africa, thus indirectly affecting an even larger number of people (2,3). None of the available therapeutic measures against the various diseases is very effective and therefore novel approaches are needed in the development of drugs against trypanosome infections (4).
African trypanosomes are transmitted by tsetse flies, and as extracellular parasites they multiply within the peripheral blood, the capillary beds and within the tissue fluids of the infected hosts. During this bloodstream life cycle stage, trypanosomes are covered with a layer of approximately 10 000 000 molecules of a glycoprotein species known as variant surface glycoprotein (VSG). VSG molecules have a molecular mass of ~60 kDa, they homodimerise and are glycosylphosphatidylinositol-anchored within the plasma membrane. The VSG surface induces a strong T-cell-independent IgM response as well as a T-cell-dependent B-cell response which elicits VSG-specific IgG (5; reviewed in 6). The parasites, however, evade the host immune system by temporarily expressing different VSG variants (7-9). This phenomenon has been termed antigenic variation and has its molecular basis in the surface presentation of structurally polymorphic N-terminal domains of the different VSG variants. Though the C-termini of the various VSG molecules are structurally conserved, they are buried within the VSG layer and thus not accessible to the humoral immune response (10-12). The trypanosome genome encodes a repertoire of about 1000 different vsg genes, but only one VSG is expressed at a given time. The switching frequency from one variant to the next has been estimated to range from 10-2 to 10-7/cell generation and seems to be a stochastic event (13,14). Thus, the VSG surface acts as an exclusion barrier for larger molecules, such as antibodies, while its variable characteristics cause the inability of the infected host to clear the infection. Besides, the surface changes complicate any vaccination approach.
Although the entire surface of bloodstream stage African trypanosomes is covered by the VSG protein, the coat nevertheless shows a highly dynamic structure. VSG molecules show rapid lateral movement within the cell membrane (15). In addition, other surface components have been identified, including invariant surface glycoproteins (ISGs), receptor complexes and transporter molecules (16-20). Some of these molecules are embedded within the VSG layer and distributed over the entire surface of the trypanosome cell body including the flagellum. Other surface components are localised to the flagellar pocket, an invagination of the plasma membrane around the base of the flagellum which functions as an exo- and endocytosis site (reviewed in 21). Moreover, the trypanosome surface is not an impenetrable casing. Molecules of lower molecular mass, such as the protease trypsin (23 kDa), have been shown to cleave VSG molecules at a site deep within the protein layer (17,22). This suggests the existence of transient molecular cavities within the layer of the VSG homodimers.
In this study, we address the potential of tagging the surface of live bloodstream stage trypanosomes with molecules that bind with high affinity and specificity. If such molecules were small enough to reach and interact with invariant elements of the cell surface, binding would be independent of the expressed VSG and could be used to direct the immune response to the trypanosome surface. In vitro evolution methods in conjunction with combinatorial nucleic acid libraries offer effective strategies for selecting nucleic acid ligands to biological targets. The SELEX (systematic evolution of ligands by exponential enrichment) protocol (23,24) has been widely used to isolate high affinity binders, so-called aptamers, to a variety of biological targets (reviewed in 25) including complex targets such as the membranes of human red blood cells (26).
Using this methodology, we report the isolation of three classes of RNA aptamers that bind to live African trypanosomes. The binding is specific for the infective bloodstream life cycle stage of the parasites, because insect stage trypanosomes are not recognised by the selected RNAs. Individual aptamers are able to bind rapidly to the parasite surface with high affinity and specificity for a single protein located within the flagellar pocket. Although two separate selections with two cloned trypanosome strain variants were performed, the selected aptamers show no variant-specific features and furthermore are capable of binding other, unrelated trypanosome strains.
MATERIALS AND METHODS
Trypanosomes
The bloodstream life cycle stage of Trypanosoma brucei was grown in HMI-9 medium (27) supplemented with 10% (v/v) heat-inactivated bovine foetal calf serum (FCS). Incubation was at 37°C in 5% CO2/95% air. The following strains were used: T.brucei 427-MITat serodeme, variant clones MITat 1.2 and MITat 1.4 (28); AnTat 1.1 (29); ILTAT 1.1 (30). Insect stage trypanosomes were grown at 27°C in SDM-79 medium supplemented with 10% (v/v) FCS (31).
Oligodeoxynucleotide and RNA pool synthesis
DNA oligonucleotides were synthesised by automated solid support chemistry using O-cyanoethyl-N,N-diisopropyl-phosphoramidites. The starting DNA library was a 79mer of sequence gaat-tcagtcggacagcg(N)40gatggacgaatatcgtctccc which contained a central sequence stretch of 40 randomised nucleotides. The DNA was purified by reverse phase liquid chromatography and 1.1 mg were amplified during seven PCR cycles in a total volume of 60 ml using primers A (gcgaagctttaatacgactcactatagggagacgatattcgtccatc) and B (ggtcgagaattcagtcggacagcg). Of the 7.5 mg of double-stranded PCR product, 1.5 mg were transcribed into 2.5 mg RNA (reaction volume 7.5 ml) from which 1.15 mg were used in the first round of each selection. All subsequent RNA pools were transcribed from 50-150 µg of the PCR-generated double-stranded DNA templates in a final volume of 1-1.5 ml. Reactions were performed in the presence of 5 µCi [[alpha]-32P]UTP (3000 Ci/mmol) in 20 mM NaxHyPO4, pH 7.9, 8 mM MgCl2, 20 mM DTT, 4 mM spermidine, containing 1 mM each NTP and 500 U T7 RNA polymerase. The synthesised RNAs were extracted with phenol, precipitated with ethanol and redissolved in a buffer containing 20 mM NaxHyPO4, pH 7.4, 2 mM MgCl2, 130 mM NaCl, 5 mM KCl, 20 mM glucose and 0.2 mM [beta]-mercaptoethanol. A final purification was achieved by size exclusion chromatography on Sephadex G50 columns using the same buffer. Before each round of selection, all RNAs were pre-incubated at 37°C for 30 min.
In vitro selection
Trypanosomes were harvested at a cell density of 1-2 × 106 cells/ml and extensively washed in binding buffer (20 mM NaxHyPO4, pH 7.4, 2 mM MgCl2, 130 mM NaCl, 5 mM KCl, 20 mM glucose, 0.2 mM [beta]-mercaptoethanol). RNA binding was performed in a final volume of 0.5-1.5 ml with 32P-labelled pool RNA (10-20 µM) and either 5 × 108 (rounds 1-7) or 2 × 108 cells/ml (rounds 8-13). After an incubation for 60 min at 30°C, unbound and weakly associated RNAs were washed off by four consecutive washes with 2 ml binding buffer. Trypanosomes and bound RNAs were collected by centrifugation and the bound RNAs recovered by two phenol extractions followed by precipitation with ethanol. Isolated RNA was reverse transcribed (150 µl reaction volume, 10 µg primer B, 100 U M-MuLV RT), amplified by PCR and the resulting DNA templates were transcribed into RNA which was used for the next round of selection. DNA templates from pool 12 were digested with HindIII and EcoRI and cloned into pUC118. Sequences of 53 clones of each selection were determined by dideoxy terminator sequencing.
Determination of binding parameters
Uniformly 32P-labelled pool RNAs (5 nM, ~20 000 c.p.m.) or RNA aptamers (3-5 nM, 10 000-50 000 c.p.m.) were incubated with T.brucei cells in 100 µl binding buffer at cell densities of1-3 × 108/ml for bloodstream stage cells and 5 × 109/ml for insect stage trypanosomes. After a 30 min incubation at 37°C, the cells were washed (four times with 2 ml binding buffer), collected by centrifugation and the percentage of bound RNA was determined by scintillation counting. Average relative binding efficiencies were calculated from three independent experiments and were normalised to the binding efficiency of pool 1 RNA. Equilibrium dissociation constants were derived from experiments determining the percentage of bound RNA at varying trypanosome cell numbers. Kd values were calculated based on the Scatchard equation r/[A] = n/Kd - r/Kd with the slope of the plot representing -1/Kd; where A is the free RNA, r = B/[cells] and B is bound RNA. The number of binding sites on the trypanosome surface (n) was derived from the x-intercept of the Scatchard plot.
Association rates were determined with uniformly 32P-labelled RNA aptamer 2-16 (0.75 nM, ~50 000 c.p.m.) and varying amounts of T.brucei cells in 50 µl binding buffer at 37°C. Parasite cell densities varied between 2.5 × 107 and 2 × 108/ml corresponding to calculated target concentrations of 3-24 nM (assuming 72 000 targets/cell). Under the conditions of a large excess of one binding partner, a pseudo-first-order rate constant kobs can be determined from kobs = ln 2/t½. RNA aptamers and cells were pre-incubated at 37°C and the binding reaction was started by adding cells to the RNA. Aliquots were taken at time points between 0.5 and 30 min, diluted 1:500 in binding buffer and centrifuged immediately. The percentage of bound and unbound RNA was determined for each time point by scintillation counting and plotted against time.
Run-off transcription, 5[prime]-end-labelling and biotinylation
RNA aptamers were transcribed from linearised plasmid DNA templates using T7 RNA polymerase following standard procedures. DNA templates (1 µg) were transcribed in a buffer containing 20 mM NaxHyPO4, pH 7.9, 8 mM MgCl2, 20 mM DTT, 4 mM spermidine and 1 mM each NTP. Radioactive labelling of the RNAs was achieved by using [[alpha]-32P]UTP (10-50 µCi) and 5 µM UTP in the transcription reaction. The DNA was digested with DNase I and RNA transcripts were phenol extracted and purified from non-incorporated NTPs by size exclusion chromatography. Aptamer RNAs were 5[prime]-end-labelled using alkaline phosphatase and T4 polynucleotide kinase and [[gamma]-32P]ATP according to standard procedures.
Fluorescence labelling of aptamer 2-16 was achieved by tagging the BODIPY TMR-C5 fluorophore (Molecular Probes) to the 5[prime]-end of the RNA. The reaction was performed according to the manufacturers specification and fluorophore-conjugated 2-16 RNA was dissolved in a PBS-based buffer at 0.4 µg/µl.
Biotinylation of aptamer 2-16 was performed by in vitro transcription in a reaction mixture containing 1 mM each GTP, CTP and ATP, 0.05 mM UTP and 5-50 µM biotin-16-UTP (Boehringer Mannheim). RNA transcripts were separated from non-incorporated nucleotides by size exclusion chromatography, precipitated with ethanol and dissolved in a PBS-based binding buffer at 20 ng/µl.
RNA structure determination
Theoretical secondary structures were calculated using the MFold subroutine of the GCG software package based on a free energy minimisation algorithm (Wisconsin Package v.9.1; Genetics Computer Group, Madison, WI). Calculations were performed for 37°C, which is the optimal growth temperature for bloodstream stage trypanosomes. Structure-specific enzymatic probing experiments were performed at limiting enzyme concentrations with cobra venom RNase V1 (0.25 U/ml), RNase T1 (250 U/ml) and RNase A (10 mU/ml). Cleavage reactions were done with 0.3 µg aptamer RNA at 25°C in 20 mM NaxHyPO4, pH 7.4, 2 mM MgCl2, 130 mM NaCl, 5 mM KCl. Samples were analysed on denaturing 12% (w/v) polyacrylamide gels. CD spectra and UV melting curves were recorded as described (32).
Photo-crosslinking of RNA aptamers to living cells
Uniformly 32P-labelled RNA aptamers (5-10 nM) were incubated with T.brucei cells (2-8 × 108/ml) in binding buffer at 37°C for 20 min. Following incubation, the cells were put on ice and irradiated with UV light (254 nm) for 10 min at an energy dose of 0.12 J/cm2. The samples were heat denatured (95°C, 5 min), digested with a cocktail of RNase A, RNase T1 and DNase I (30 min, 37°C) and finally analysed by discontinuous SDS-PAGE. Gels were stained with Coomassie brilliant blue, dried and the 32P-labelled proteins were visualised by autoradiography.
Fluorescence in situ hybridisation
Bloodstream stage trypanosomes were harvested at a cell density of 2 × 106/ml and washed in binding buffer (four times). Samples of 2 × 107 parasites were incubated at 37°C with either biotinylated (2 ng/µl) or 5[prime]-BODIPY TMR-C5-labelled aptamer RNA (10 ng/µl) in 40 µl binding buffer. After 20 min the cells were washed (twice with 2 ml binding buffer) to remove unbound RNA and put on ice. Cells were smeared onto micoscope slides, briefly air dried and mounted in ProLong Antifade (Molecular Probes). In the case of biotinylated aptamer preparations, the parasites were further incubated with a 1:100 dilution of a monoclonal Cy[trade]3-conjugated anti-biotin antibody (Dianova). Nuclear and kinetoplast DNAs were stained with Hoechst H-33342 (Molecular Probes). Slides were examined with a digital fluorescense microscope. Images were captured and merged using IP Lab Spectrum 3.1.2c (Scanalytics Inc.). Assembly into figures and false colouring were performed using Adobe® Photoshop 3.0.3 (Adobe® Systems Inc.).
RESULTS
Selection of RNAs that bind to live trypanosomes
For the selection we used a starting pool of 1016 RNA molecules with an estimated complexity of 2 × 1015 unique sequences. The library contained 40 randomised nucleotides flanked by primer binding sites 21 and 24 nt in length, which together restricted the final molecular mass of the selected aptamers to a value around 25-27 kDa. In the case of the protease trypsin, this has been shown to be a molecular size still able to penetrate the VSG layer (22). Two independent selections were performed in parallel using two different T.brucei variant antigen clones as target cells: MITat 1.2, a cell line which stably expresses VSG 221, and MITat 1.4, which express VSG 117 on their surface (28). These two variant strains were further chosen because of steric differences in the VSG packing on the parasite surface: they respond differently when incubated with an anti-ISG75 antibody or with the protease trypsin (17). Lastly, the crystal structure for the N-terminal domain of the MITat 1.2 VSG is known to a resolution of 2.9 Å (33).
Both parasite variants were grown as bloodstream stage trypanosomes and RNA binding was accomplished over a 60 min incubation period. Despite some RNA degradation, a significant amount of full-length RNAs remained intact after the incubation (Fig.
Figure 1. Selective enrichment of RNA ligands that interact with live trypanosomes. (A) Degradation kinetics of 32P-labelled pool 1 RNA (85 nt) upon incubation with either MITat 1.2 or MITat 1.4 trypanosomes. (B) Graphical representation of the percentage of trypanosome-bound RNAs in each round of selection using MITat 1.2 or MITat 1.4 cells. Binding was performed at 30°C using 5 nM RNA and a cell density of 3 × 108 cells/ml. (C) Analytical RNase T1 digestion of different RNA pools from both selections. Uniformly 32P-labelled aptamer pools were digested with RNase T1 at limiting conditions and the resulting hydrolysis products were separated in denaturing polyacrylamide gels and analysed by autoradiography. The appearance of distinct cleavage products (arrowheads) indicate a reduction in the pool complexity and thus an enrichment of a few selected sequences. The very similar digestion pattern in both selection experiments indicates the presence of similar RNA sequences. DNA templates from RNA pools of round 12 were cloned and the sequences of 53 clones from each selection experiment were determined. A majority of these sequences can be grouped into two families (I and II) based on common sequence motifs (Fig. Figure 2. DNA sequences and relative binding efficiencies of all aptamers from both selection experiments. The name of each aptamer is followed by its clone abundance (in parentheses) and the primary sequence of the randomised region. Base complementary sequences are underlined and co-varying nucleotide positions are indicated as capital letters in bold. Relative binding efficiencies were measured for MITat 1.2 and MITat 1.4 cells and were normalised to the binding efficiency of the starting RNA pool, which was set to a value of 1. Standard deviations were estimated from three independent binding experiments. Members of family I (92 out of 106 clones) contain an invariant CGT and a conserved NGC triplet (shaded boxes). Family II members (seven out of 106 clones) contain four repeats of a GGGN box (shaded in grey) located at the 3[prime]-end of the randomised region. Family III members (seven out of 106 clones) show no similarity to either of the two families; three RNAs, however, contain stretches with similar sequences (shaded boxes). Capital letters indicate nucleotides from the 5[prime] and 3[prime] PBS involved in base pairing. aThe sequence includes five clones with one or two base changes. bThe sequence includes one clone with a single base change. Relative binding efficiencies for all aptamers were determined using both parasite variant strains as targets (Fig. To gain insight into the folding details of the three aptamer families, we computed energy-minimised secondary structures for all RNA sequences. In addition, selected aptamers were experimentally probed with single- and double-strand-specific RNases and analysed by CD spectroscopy and UV melting. The combination of all data resulted in a secondary structure model for the family I RNAs consisting of a hairpin loop as shown in Figure Figure 3. Structure models for family I (A) and family II aptamers (B) derived from sequence comparison and enzymatic probing data of 5[prime]-32P-labelled 2-16 RNA (family I) or 5[prime]-32P-labelled 4-29 aptamer (family II). Sequences derived from the constant 5[prime] and 3[prime] primer binding sites (PBS) are represented as shaded lines. Nucleotide accessibilities for the various enzymes used for the structure probing are given in the legend below the drawing. For the family I aptamers a pseudoknotted structure can be formed (A, right) involving a sequence stretch of the 3[prime] PBS which is supported by several of the RNase V1 hydrolysis sites. The repetitive GGGN sequence motifs of the family II aptamers are likely to fold into a G-quartet structure (34,35) as shown in Figure To identify the binding target(s) on the parasite surface, we performed zero distance photo-crosslinking experiments. A representative set of results is shown in Figure Figure 4. Photo-crosslinking and quantitative characterisation of the binding reaction of aptamer 2-16. (A) Gel separation of UV-crosslinking products of uniformly 32P-labelled aptamer 2-16 with MITat 1.2 cells in the absence (- comp.) or presence (+ comp.) of a 100-fold molar excess of unlabelled 2-16 RNA or tRNA (+ tRNA). (B) (Left) UV-crosslinking of aptamer 2-16 to bloodstream form (BF) MITat 1.2 and MITat 1.4 cells or to insect stage cells (procyclic cell form, PCF). (Right) Coomassie-stained SDS-PAGE gel showing the separation of a trypanosome whole cell lysate and purified VSG protein. Molecular masses are given in kDa. The specificity of the two crosslinks was tested in competition experiments with homologous and heterologous RNA competitors (Fig. As expected from the binding data, aptamer 2-16 could be crosslinked to the same 42 kDa target in both MITat 1.2 and MITat 1.4 cells (Fig. To localize the 42 kDa binding target on the trypanosome surface we monitored the binding of aptamer 2-16 by in situ fluorescence microscopy. Direct staining with a fluorophore-conjugated 2-16 RNA preparation as well as indirect staining with a fluorophore-coupled antibody against biotinylated 2-16 RNA gave identical results. The bound RNA localised to a punctated area proximal to the kinetoplast (Fig. Figure 5. Trypanosome-bound aptamer 2-16 localises to the flagellarpocket. In situ fluorescence microscopy of bloodstream stage trypanosomes(MITat 1.4) incubated with biotinylated 2-16 RNA and immunodecorated with a Cy[trade]3-conjugated anti-biotin antibody (yellow). Counter-staining with Hoechst H-33342 (pink) indicates the nucleus and kinetoplast. Phase contrast images of two trypanosome cells in different orientations are shown, merged with the fluorescence images in false colour. Arrowheads indicate the punctated staining due to binding of the aptamer. The area coincides with the flagellar pocket of the cells as indicated in the line drawing to the right. As above, we used aptamer 2-16 for a quantitative analysis of the binding reaction. The dissociation constant for the interaction of 2-16 RNA with either MITat 1.2 or MITat 1.4 cells was determined in a Scatchard analysis. Varying concentrations of the radioactively labelled RNA (0.1-250 nM) were incubated with a constant number of parasite cells (5 × 108 cells/ml). The resulting binding curve (Fig. The association rate of aptamer 2-16 to the surface of the parasites was determined under pseudo-first-order conditions, equivalent to a large excess of cell surface target (25 nM) over aptamer RNA (0.75 nM). Figure All aptamers were unable to distinguish between the two MITat strain variants that were used in the two selections. This raised the question whether other, non-MITat trypanosomes could also be recognised. Thus, we determined the binding efficiency of the selected RNAs to two additional T.brucei strains, the well-characterised pleomorphic strains ILTAT 1.1 (30) and AnTat 1.1 (29). Binding efficiencies of aptamers from all three families were determined and normalised to the binding of pool 1 RNA (Table 1). Although both strains showed a 5- to 10-fold higher non-specific affinity for RNA (compared to the two MITat variants), pool 12 RNA still bound 3-4 times stronger to these two strains than pool 1 RNA. This clearly indicated that RNA species were selected that also have an affinity for the ILTAT and AnTat trypanosomes. Individual members of family I and family III bound 3-9 times stronger than pool 1 RNA and the G-quartet structures of family II showed a 10- to 25-fold stronger binding. These binding strengths result in 10-30% of the RNAs bound to the parasite surface, which are comparable values to the binding efficiencies to the MITat 1.2 and MITat 1.4 parasites. We demonstrate the isolation of high affinity ligands from a combinatorial RNA library to the surface of live African trypanosomes. The selection was performed with bloodstream stage trypanosomes which represent the infective life cycle stage of the parasite. Three RNA ligand families were isolated. A major group containing almost 90% of all selected RNAs was characterised by an invariant CGU sequence in addition to a highly conserved NGC base triplet. The molecules were shown to adopt an irregular hairpin structure with the invariant CGU sequence in a bulged out, single-stranded conformation and the conserved NGC sequence located within the loop of the hairpin. This likely indicates sequence-specific contacts to the binding target, especially in the case of the invariant CGU (see below). Family II aptamers share the potential of folding into G-quartet structures. Since several other selection/amplification experiments have resulted in G-quartet nucleic acid ligands (36-40), it is not clear whether this reflects a concealed selection pressure towards very stable RNA structures inherent to the SELEX protocol. However, a comparison of the RNase stability of representative RNAs of all three aptamer families in comparison to the stability of the initial RNA pool showed no significant differences (data not shown). Therefore, RNA stability was not the main selection criterion in the two experiments. Figure 6. (A) Determination of the dissociation constant (Kd) for the binding reaction between aptamer 2-16 and MITat 1.2 cells. (Insert) Binding curve using varying concentrations of 2-16 RNA at a constant cell density of 5 × 108 cells /ml. (Main) Scatchard analysis of the binding data. The slope of the curve represents -1/Kd, while from the x-intercept the number/concentration of target molecules can be derived. (B) Determination of the association rate of aptamer 2-16 (0.8 nM) with MITat 1.2 cells (2 × 108 cells/ml) under pseudo-first-order conditions. Values within the 0-20 min time frame are fitted according to a first-order equation, giving a pseudo-first-order rate constant (kobs) of 0.06 min-1. (Insert) Determination of kobs at different target cell densities. The slope of the curve represents kass. Assuming a target number of 72 000 molecules/cell, kass was calculated to be 4.3 × 104 M-1 s-1. Table 1. All aptamers can be subgrouped into high and low affinity binders. Differences between the two groups could only be manifested in the case of the family I RNAs. Strong binders are likely to adopt a stable pseudoknot structure which involves in part the conserved NGC base triplet of the hairpin loop sequence. However, further experiments are required to substantiate this hypothesis. In the case of the other two families, the binding strength differences must be due to other structural criteria. Among several possibilities, the length of the individual stem structures, a possible coaxial stacking of the helices and/or the spacing between conserved elements might account for this effect. Nevertheless, all tested RNAs specifically crosslink to the same 42 kDa protein which is present on the surface of both the MITat 1.2 and MITat 1.4 parasites. This is surprising for two reasons. First, given the complexity of the cell surface, one might have expected the selection of aptamers to different surface targets similar to what has been described by Morris et al. (26), using human erythrocyte ghosts. Second, none of the aptamers interacts with the most abundant polypeptide on the trypanosome surface, the VSG protein. Although we cannot exclude the possibility that the 42 kDa protein displays an epitope dominance as described by others (41-43), we attribute both phenomena to the unique situation of the trypanosome cell surface. The VSG layer is not only acting as a physical barrier, it also shows dynamic properties which enhance its protective function. VSG-bound antibodies, for instance, have been shown to be eliminated from the trypanosome surface by a rapid endocytotic turnover of the entire VSG layer through the flagellar pocket (44,45). Thus, any VSG-bound RNA was probably removed during the selection via this recycling reaction and, consequently, stable surface binding might have been restricted to the less abundant invariable surface elements. Since the binding of the aptamers is restricted to the flagellar pocket of the parasites it is tempting to speculate that the 42 kDa protein might be ESAG 7, a subunit of the transferrin receptor. ESAG 7 has a molecular mass of 42 kDa, is located within the flagellar pocket and is exclusively expressed during the bloodstream life cycle stage of the parasite (46,47). In contrast, we estimated a copy number of about 70 000 molecules/trypanosome cell for the 42 kDa protein which is above the reported value of 2-3 × 103 copies for the transferrin receptor (reviewed in 48). Thus, further experiments must be conducted to confirm this hypothesis, in addition to experiments that address the fate of the RNA after binding to the flagellar pocket. Lastly, we cannot exclude the possibility that next to the interaction with the 42 kDa protein additional contact points between the aptamer and the trypanosome surface exist. Yang et al. (49) recently reported the selection of G-quartet DNA ligands with cellobiose. This opens up the possibility that the G-quartet RNAs of family II interact, at least in part, with a carbohydrate moiety. The trypanosome surface is abundantly glycosylated (50) and thus sugar residues could contribute to the RNA binding domain. Three additional features of the aptamers are worth discussing. First, none of the RNAs bind to insect stage trypanosomes. This is likely to indicate that the surface target is bloodstream stage specific. Alternatively, the binding target might be accessible only in bloodstream stage cells because of steric and/or surface charge differences of the two life cycle stages. Second, none of the aptamers are capable of discriminating between the two parasite strain variants used in the selection scheme. This demonstrates that the aptamer/trypanosome interaction is independent of the particular VSG variant expressed on the trypanosome surface. Third, two unrelated trypanosome strains are also recognised by the aptamers. This may suggest that the selected RNAs can be applied to a greater range of trypanosome strains, provided the target protein is sterically accessible. In summary, the selection of high affinity nucleic acid ligands presented in this study extends the range of applications of the SELEX methodology to living cells as binding targets. The identified RNA aptamers show high affinity binding and specificity for a single protein and as such they have the potential to be used as diagnostic as well as therapeutic tools. Their ability to bind to an invariant element on the trypanosome surface opens up the possibility of side-stepping the antigenic variation of the VSG coat. Binding to the flagellar pocket, the main site for endo- and exocytosis events, might further allow for a specific targeting of toxic components to intracellular compartments of the parasite. We thank U. F. Müller for discussion and input in the quantification of the binding data. E. Weyher-Stingl is thanked for her help recording the CD spectra, M. Engstler and M. Boshart for providing T.brucei strains and F. Melchior for providing access to her digital imaging facility. P. Overath, G. A. M. Cross and A. S. Paul are thanked for critically reviewing the manuscript. We acknowledge the contributions of H. H. Shu during the early phase of the project, the secretarial help of A. Kohlhuber and the purification of VSG by M. Worbs. Metabion is thanked for expert oligodeoxynucleotide synthesis. The work was supported by a grant from the German Research Foundation (DFG) to H.U.G.
Binding efficiencies of the RNA aptamers
RNA structure determination
Identification and localisation of the binding target(s)
Quantitative characterisation of the binding reaction
Binding to other trypanosome strains
DISCUSSION
Aptamer family
RNA
AnTat 1.1
ILTAT 1.1
Pool 1
1
1
Pool 12
3.1 ± 0.2
3.7 ± 0.6
Family I
2-11
5.3 ± 2.6
8.3 ± 3.0
2-16
2.4 ± 0.5
3.5 ± 1.5
4-25
6.5 ± 2.2
9.7 ± 1.1
4-13
6.0 ± 0.3
7.0 ± 0.4
Family II
2-5
11.4 ± 3.7
14.4 ± 3.7
2-10
17.1 ± 4.0
21.2 ± 12.0
4-29
17.7 ± 3.0
24.7 ± 4.8
Family III
2-18
3.9 ± 1.3
6.6 ± 1.6
2-29
4.0 ± 0.9
5.1 ± 1.4
4-19
6.0 ± 2.1
8.2 ± 0.4
ACKNOWLEDGEMENTS
REFERENCES
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