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First, the signal distribution is shown for each lectin to understand the characteristics of the lectin bead array. A library of lectin-fixed beads (1,000 beads each) was prepared. Fifteen beads were randomly picked from the 1,000 and added to a single tip. A typical chart is shown at the bottom of Figure 1A, representing almost the same signal intensity observed among the 15 beads immobilizing the same lectin. This measurement procedure can be applied to qualify hand-made lectin bead production prior to the use of glycan profiling. For instance, six tips are used for the simultaneous measurement to calculate the coefficient of variation (CV) from the signals on the 90 beads. A typical example is shown in Table 1. When the lectin-fixed beads library was expanded to accommodate 28 different lectins, 25 out of 28 lectins demonstrated high reproducibility with a CV of less than 10%.
Next, the data for a lectin bead array with 15 different lectins are shown. The 15 lectins shown in Table 2 were selected for the lectin bead array. Additionally, 12 polyacrylamide (PAA) mono/di/trisaccharides listed in Table 3 were measured. After assessing the measurement reliability using a dotcoding display on the screen, the raw data were exported from the automated reaction measurement device (see protocol step 4.11), and a graph was created in Excel using the reaction peak values at each saccharide (Figure 4A). These values were then used for principal component analysis to visualize the correlation between the selected 15 lectins and the reacted saccharides (Figure 4B,C). This resulted in a distinct difference in the binding pattern of each lectin against the 12 PAA-sugars shown in Figure 4A. Herein, the validity of each signal is shown to refer to integrated previous lists of lectin and saccharide specificities7,8 (also refer to these specificities in Table 2). As AAL binds to terminal α-Fuc, Sia-Lex, and Lex, automatic glycan analysis confirmed AAL's recognition of fucose-containing molecules (Figure 4A). SSA and MAL (see Table 2 for the full names of lectins and given abbreviations) recognized Siaα2-6Gal/GalNAc and Siaα2-3Gal, respectively. MAL in the bead array can also bind to 3'-O-sulfo-Galβ3GalNAc and LacNAc. This is consistent with previous results analyzed using machine learning7, in which MAL prefers the 3'-O-sulfo-Gal dominantly, whereas LacNAc is not dominant9. RCA120, a Gal-recognizing lectin, strongly reacted with terminal β-Gal, including Lac/LacNAc, and was permitted to bind to Siaα2-6Lac but not Siaα2-3Lac. ECA had reactivity with LacNAc much higher than Lac. WFA had a broader specificity, which recognized not only α/β-GalNAc but also terminal β-Gal as reported7,10. GSL II, which recognizes GlcNAc and a galactosylated tri/tetra-antennary N-glycans, did not bind to any saccharides except for a single GlcNAc among the prepared analytes. GRFT, which recognizes high mannose-type N-glycans, reacted with α-Man. ABA, Jacalin, and MAH have been generally used to detect O-glycans. As ABA prefers the Galβ1-3GalNAcα-Thr/Ser (T) and sialyl-T structures, ABA in the bead array strongly reacted with 3'-O-sulfo-Galβ1-3GalNAc and weakly bound to α-GalNAc. ABA also recognized β-GlcNAc, consistent with the previous reports on binding to agalactosylated N-glycans7. Jacalin has a relatively broader specificity and thus reacted with α-mannose, β-GalNAc, βGal, α-GalNAc, 3'-O-sulfo-Galβ1-3GalNAc. MAH specifically recognized 3'-O-sulfate-Galβ1,3GalNAc as previously reported7. The residual four lectins, NPA, LCA, PHA-L, and PHA-E, recognized the internal structure of N-glycan not included in the prepared PAA saccharides and thus had no affinity with all analytes.
Using the obtained data, the similarity of lectins contributing to the binding to each saccharide can be clarified by plotting them on a principal component analysis graph (Figure 4B). All of the saccharides that contributed to the variance in Figure 4B were represented by eigenvector, a method of statistical analysis in which the contribution ratio is represented by a vector (Figure 4C). It is noteworthy here that the reacted saccharides contribute to each lectin without bias. Lectins do not exhibit specificity for only one type of saccharide. For example, the presence of complex-type glycans is determined by the partial recognition of some glycans within complex-type glycans in humans. Jacalin, which recognizes O-glycans (see the specificities in Table 2), can recognize the 3'suTF structure and α-GalNAc among the saccharides used in this study, and therefore, the 3'suTF and α-GalNAc were plotted (Figure 4C) against the position direction of Jacalin (brown dot) plotted in Figure 4B. WFA can recognize α/β-GalNAc among the saccharides used in this study; therefore, α/β-GalNAc in Figure 4C was plotted in the same direction as the WFA plotted in Figure 4B. In contrast, α-GalNAc is plotted between WFA and Jacalin because it is a saccharide structure that Jacalin is capable of binding to easily. All 11 saccharides plotted in this study are consistent with the specificity (saccharide binding) of lectins reported previously7,8, indicating that the proposed method is a reliable measurement method. Furthermore, the eigenvectors corresponding to each saccharide are dispersed, supporting that the 15 lectins were selected with minimal bias to ensure comprehensive coverage in the analysis. Consequently, the tip replenished with these 15 lectins was defined as the standard GlycoBIST-tip (Table 2).
In the more practical example, purified protein products were subjected to the tip measurement (Figure 5). Bovine thyroglobulin, which has an N-glycosylation site and contains complex, hybrid, and high mannose-type N-glycans11, was analyzed. The standard tip indicated increased reactivity of certain lectins to the saccharides8 (please refer to the specificities in Table 2): PHA-E, which recognizes bisecting GlcNAc; GRFT, recognizing mannose-type N-glycans; SSA, recognizing Siaα2-6Gal/GalNAc; RCA120, recognizing lactose and LacNAc; and AAL, recognizing fucose. These glycan structures are present in complex, hybrid, and high mannose-type N-glycans, suggesting that the N-glycan structure of thyroglobulin11 could be effectively evaluated. Furthermore, thyroglobulin treated with sialidase A, an enzyme that digests sialic acid, showed decreased reactivity with SSA, which recognizes sialic acid, and increased reactivity with RCA120, WFA, and ECA, which are more readily recognized after the removal of sialic acids. The presence of O-glycan structures in bovine thyroglobulin has not been previously reported. As expected, there was no recognition of O-glycan in thyroglobulin with or without sialidase treatment in the automatic glycan analysis.
A within-run reproducibility test using the 15 selected lectins is shown to understand the robustness of the measurement (Table 4). For this test, seven standard tips for analytes and an additional tip for negative control were prepared, and all eight tips were measured simultaneously. This procedure was repeated three times in a single day. "Mix Analytes," a combination of analytes that led to obtaining significant signals on all the lectins, were prepared for the quality control of the beads array. The Mix Analytes were formulated by appropriately mixing sialidase-digested erythropoietin (EPO), sialidase- and galactosidase-digested EPO, human IgA, matrix metalloproteinase 3 (MMP3), and thyroglobulin. Each glycoprotein (200 ng) was labeled with 10 µg of biotinylation reagent in PBS containing Triton X-100. If necessary, sialidase and galactosidase treatments were performed as described in the instructions. After digestion, the products were incubated in a heat block at 75 °C for 10 min to inactivate the enzyme. The appropriate amounts of biotinylated glycoproteins (3 ng of EPO, 8 ng of human IgA, 5 ng of MMP3, and 15 ng of thyroglobulin) were mixed immediately before analysis. The measurement results indicated that the maximum CV value was 13.5%, and the average CV for the 15 lectins was 8.2%, demonstrating high reproducibility.
Additionally, a day-to-day reproducibility test is shown to understand variations due to the measurement date (Table 5). Standard tips and Mix Analytes were prepared in advance, and measurements of seven tips were repeated daily for five consecutive days. The results showed that most lectins had a CV of less than 10%. However, some lectins, such as LCA and ECA, exhibited higher CVs. The average CV of the 15 lectins per cycle was up to 7.7%, and the average CV values over 5 days were less than 10%, signifying high reproducibility. It was noted that Jacalin, owing to the self-digestion of MMP3 in the Mix Analyte, demonstrated low temporal reproducibility. Therefore, a more suitable analyte should be identified to replace MMP3.
To understand the stability of lectin-fixed beads, a long-term stability test is shown using these dried lectin-fixed beads (Table 6). Standard tips, assay reagents, and Mix Analytes were prepared in advance, and measurements were performed after 12 months of storage. The aforementioned five types of biotinylated analytes were stored individually and mixed prior to measurement. The results showed that the average CV for the 15 lectins was less than 10%, even up to 12 months after dry storage. This suggests the feasibility of rapid and precise measurements by storing numerous tips (up to 1,000) from the same lot at once.

Figure 1: Schemes of the "bead array in a single tip" instrument and analysis method. (A) Scheme of automatic glycan profiling system. Lectin-fixed beads can be dried and stored in tips. When tips and cartridges containing reagents like HRP-labeled anti-streptavidin antibody (SA-HRP) are set in the measuring instrument (automated reaction measurement device) and activated, the tip functions as an autopipette. The chemiluminescence detection scanner at the instrument's rear quantifies signals from eight tips simultaneously. Quantitative data are displayed as dot codes on the instrument's touchscreen for rapid confirmation of measurement results. The lower section shows the results of measuring 90 beads with the same lectin. The measurement results are transported from the instrument and graphed by the individual researcher. (B) Scheme of the detection method used in this experiment. Target proteins are pre-biotinylated and detected using SA-HRP. Please click here to view a larger version of this figure.

Figure 2: Images of materials and setup for automatic glycan profiling with the automated reaction measurement device. (A) Depiction of lectin-fixing beads being packed into a tip. Picking up the beads with antistatic tweezers on the antistatic mat and filling the tip with the beads. (B) Pinching the tip with a nipper. A slight upper portion of the top bead is squeezed. (C) A nipper for crimping the tips. The plastic (yellow circle) is pinched to prevent them from snipping completely. (D) Arrangement of materials used in the automated reaction measurement device. a: tips, b: tube containing analytes, and c: cartridges containing liquid should be inserted in place, respectively. In the waste box, the reacted tips are collected after measurement. The box can be removed. Please click here to view a larger version of this figure.

Figure 3: Touch screen for machine manipulation. (A) The self-diagnostic program starts automatically when the power is turned on. (B) The HOME screen displays "Assay," "Maintenance," and "History". (C-G) Operation of the "Assay" mode. Assay method selection (C). Multiple protocols can be registered in advance. Input of sample (analyte) order (D). Selecting the type of the tip (E). Confirmation of the assay method settings (F) and starting the assay from the "Start Assay" screen (G). (H-N) Representation of the result in "History." Lectin dotcode (H) displayed after assay completion or from "History" mode. A scan chart of 15 lectins is displayed on the screen for all samples (I) or for each sample (J). The scan chart is displayed as a bar graph (K). Bar charts for other lanes can be selected from the drop-down "Lane" list. Bar graph comparing eight lanes of samples per lectin (L). Other lectins can be selected from the dropdown "Lectin" list. Table showing quantitative values (M). Record of the executed measurement method (N). Please click here to view a larger version of this figure.

Figure 4: Evaluation of reactivity with PAA saccharides in the automatic glycan profiling system. (A) A graph depicting the reactivity of lectins with various PAA saccharides was adjusted for negative control values. (B) Principal component analysis based on the data in (A). (C) Eigenvectors from the analysis in (B). Compatible analysis software was used for parts (B) and (C). Please click here to view a larger version of this figure.

Figure 5: Verification of GlycoBIST reactivity using purified bovine thyroglobulin protein. Sample preparation without treatment was conducted under the same digestion conditions as the buffer alone, excluding the addition of sialidase A. Please click here to view a larger version of this figure.
Table 1: Repeatability test with lectin-fixed beads. The repeatability of reactivity for 28 lectins was evaluated. Analytes were reacted with each tip. EPO: erythropoietin, PSA: prostate-specific antigen, Tf: transferrin, M2BP: Mac-2 binding protein, hIgG: human IgG, MMP3: matrix metalloproteinase 3, (Sia+): sialidase A-digested analytes, (Sia+, Gal+): sialidase A and galactosidase-digested analytes, Ab: antibody. DSA: Datura stramonium agglutinin, HypninA2: Hypnea japonica agglutinin, WGA: wheat germ agglutinin, UDA: Urtica dioica agglutinin, BPL: Bauhinia purpurea lectin, Orysata: Oryza sativa lectin, LSL-N: Laetiporus sulphureus lectin N-terminal domain, SNA: Sambucus nigra lectin, BanLec: banana lectin, MPA: Maclura pomifera agglutinin, TxLC-I: Tulipa gesneriana agglutinin, AOL: Aspergillus oryzae lectin, ACG: Agrocybe cylindracea galectin. CV: coefficient of variation. Please click here to download this Table.
Table 2: List of lectins constituting the standard tipfor automatic glycan profiling. Please click here to download this Table.
Table 3: PAA saccharides used as standards for automatic glycan profiling system. Please click here to download this Table.
Table 4: Results of the within-run reproducibility test. CV: coefficient of variation. Please click here to download this Table.
Table 5: Results of the between-day reproducibility test. CV: coefficient of variation. Please click here to download this Table.
Table 6: Results of the long-term stability test. CV: coefficient of variation. Please click here to download this Table.