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Following the above protocol results in micro-patterned surfaces, coated with ECM protein/s of interest. We are using these patterns to track neuronal pathfinding.
Generated patterns should be a precise representation of the template. An example is shown in Figure 6 where a digital pattern template (Figure 6A) representing one design unit (Figure 5B), resulted in defined micro-patterns, ranging from 20 to 2 µm width, coated with labeled Fibrinogen (Figure 6B). Using ImageJ, fluorescence intensity measurements were obtained both vertically (Figure 6C) and horizontally (Figure 6E) along the stripe and from a corresponding background region 15 µm above each stripe. The background measurements were subtracted from the pattern measurements for each stripe width.
One limitation of the system is that an edge effect can be observed (Figure 6B, top stripe) when printing features ≥20 µm, with a higher intensity signal at the pattern edges compared to the center (Figure 6D, first peak of fluorescent intensity profile). In our experiments the resolution limit was approximately 2 µm; at this width we observed a significant decrease (by approximately 50%) in fibrinogen fluorescence intensity compared to the intensity of the wider stripes (Figure 6F,G). Patterning using the PRIMO system and the protocol outlined here produced reproducible patterns, with the highest standard deviation of the mean fluorescent intensity measured for the 2 µm width from four individual replicated design units (Figure 6G). Variation within the patterned stripes was also found to be low; the coefficient of variation ranged from 3 to 10%, with the 20 µm and 2 µm stripes having the largest internal variation. This is likely to be a result of the edge effect and the resolution limit of the system, respectively. Note that for these measurements we only measured the intensity at the center of the stripes, to avoid the uneven illumination resulting from the objective used to acquire these images (vignetting, Figure 6E).
Certain experiments may involve questions that require defined protein concentrations, which can be achieved in two ways: 1) varying the protein concentration (Figure 7A,B). Incubation with different concentrations of laminin, results in significantly different fluorescence intensities, increasing with higher protein concentrations (Figure 7B). 2) The laser dose that is used to cleave the anti-adhesive film (PEG) can be varied. Higher laser doses will remove the antifouling film to a greater extent, generating more binding sites for the proteins of interest (Figure 7C,D) resulting in significantly different fluorescence intensities, increasing with higher laser doses (Figure 7D).
Varying the laser dose allows the generation of protein gradients within the same pattern. This is displayed in Figure 8A, where a gradient template was designed using different greyscale levels, from black (no laser power) to white (maximum laser power).
Laser intensity is proportional to the greyscale level of the template (ranging from 0 to 255 in an 8-bit image), generating gradients of UV illumination. The measurement of the fluorescence intensity profile along the gradient stripe is linear in the pattern template (Figure 8B) and in the generated gradient pattern (Figure 8C,D). This is reproducible among all gradient stripes within the same template and gradient pattern (Figure 8B,D). Generation of such gradients is extremely useful and helps to mimic in vivo environments where cells often respond to gradients of bioactive proteins34,35,36,37.
Cells sense changing extracellular environments but assays that enable the study of cell behavior when cells encounter such changes are limited. LIMAP can be used to micro-pattern with multiple proteins in the same micro-well. Examples are shown in Figure 9 where cross-patterns were generated with stripes of fibronectin (horizontal) and laminin (vertical). When creating patterns with multiple proteins, it is crucial to use a blocking step between the first and second protein incubation, to prevent cross-binding of proteins (see step 7). The blocking efficiency may vary depending on the biochemical characteristics of the proteins that are used for coating and we advise testing several blocking buffers including PLL-PEG (0.1 mg/mL) and BSA (1%). To evaluate this cross-binding effect, we performed fluorescence intensity measurements using ImageJ (Figure 9) and we showed that cross-binding can be reduced dramatically, using PLL-PEG buffer (0.1 mg/mL) for fibronectin and laminin cross-patterns (Figure 9D,H).
The generated cross-patterns were used for cellular assays with CAD cells (Figure 10A,B) or rat dorsal-root ganglion (DRG) neurons (Figure 10C). Their neurites (CAD) and axons (DRG) grow along different lines. CAD cells are used as a neuronal model since they show a similar integrin expression profile compared to primary neurons and they still display actin-rich growth cones after 48 h in culture (Figure 10B), making them suitable for pathfinding studies.
In order to investigate the possible cytotoxic effects of the generated micro-patterns towards primary neurons, DRG neurons were isolated and cultured on micro-patterns following a previously published protocol38. The results demonstrate that primary neurons tolerate the micro-patterns environment (Figure 10C). We are currently studying how a variety of ECM proteins influence axonal (neurite) pathfinding. Preliminary proof of concepts found in CAD cells will be further investigated using DRG neurons. In order to validate the quality of generated micro-patterns, it is desirable to image patterns by fluorescence microscopy to ensure the pattern edges are well-defined before proceeding to cell plating. During the imaging process, it is important to ensure the optical adjustment between the microscope and the camera to avoid the peripheral darkening effect (vignetting) which affects the posterior analysis and interpretation of data. Additionally, acquire an image of a pattern-free region using the same exposure times that will be used to image the patterns and subtract this image from the pattern image.
In summary, for good quality micro-pattern generation, it is advisable to assess the protein concentration (Figure 7A,B), laser doses (Figure 7C,D), protein background levels (Figure 6E,F,H) and an efficient blocking step (Figure 9) when using multiple proteins. Conclusively, the quality of the micro-patterns generated with LIMAP is essential in order to obtain reliable and reproducible data from cellular assays.

Figure 1: Scheme of micro-patterning techniques: microcontact printing and laser-assisted patterning. (A) Microcontact printing uses a lithographed master with defined micro-features to generate a PDMS stamp which is incubated with the protein of interest. This protein is then transferred (stamped) onto a glass surface, generating protein micro-patterns. (B) Laser-assisted patterning techniques include photopatterning and direct laser patterning. (C) Most photopatterning approaches use a UV light source and a photomask (either in contact with the substrate surface or in the focal plane of the objective) with desired geometries in order to cleave the PEG antifouling surface in specific positions, creating a defined pattern. A subsequent protein incubation step results in protein adsorption only to the laser-cleaved regions. (D) LIMAP is a photopatterning technique which does not require a photomask in contact with the substrate (i.e., a maskless and contactless approach). LIMAP uses a photo-initiator, which is activated by low doses of a laser, cleaving light-exposed regions of PEG. This creates attachment sites for sequential protein adsorption. (E) Direct laser patterning uses high energy light to directly etch the PEG film, allowing protein binding in those etched regions. Please click here to view a larger version of this figure.

Figure 2: Scheme showing a summary of the steps in the micro-patterning protocol. (A) Micro-patterning with one protein involves only one round of micro-patterning (photopatterning and protein incubation) and can be performed in under 8 h. (B) Micro-patterning with multiple proteins requires two sequential rounds of micro-patterning and can be completed in 1-2 days, depending on the number of micro-patterns being prepared. It is possible to go through the B version of the protocol in 1 day of work. Continuous arrows indicate direct flow of steps in the protocol. Discontinuous arrows indicate that there is a significant time gap between one step and the other (see step 6.6 and 9.3). (C) Schematic view of example patterns obtained after one round of micro-patterning (red stripes) or two sequential rounds of micro patterning (red and green stripes). Please click here to view a larger version of this figure.

Figure 3: Pattern template generation is versatile with LIMAP. (A,B) Examples of pattern templates designed with ImageJ (A crossbows, B letters). Shapes drawn in white were projected at maximum laser power and shapes drawn in black were not projected. (C,D) Micro-patterns obtained with LIMAP from templates after incubation with 10 µg/mL fibrinogen (green). (C) Crossbows are 50 µm width and 50 µm height spaced by 75 µm horizontally and 50 µm vertically. (D) Letters are 80 µm width and 85 µm height. Scale bars in C and D represents 50 µm. Please click here to view a larger version of this figure.

Figure 4: Essential materials for the LIMAP protocol. (A) Stencils used in this protocol are 20 mm diameter, thin circular-shape PDMS pieces (250 µm thickness) containing 4 micro-wells (4 mm diameter each). The volumes used in the micro-wells range from 5 to 20 µL, considerably reducing the amount of reagents and proteins needed for each experiment. (B) 6 well glass bottom dish where stencils have been already placed in each well. Micro-wells contain 20 µL of PBS to make them visible. (C) Calibration dish in which the inner glass well has been marked with a green highlighter, which will be used to calibrate the laser focus. (D) Schematic view of top left well from the 6-well glass bottom dish in B (outlined with dashed red circle). The inner glass bottom well is represented in white and the stencil is shown in grey. The stencil contains 4 micro-wells (numbered 1-4), for the testing of 4 different experimental conditions (e.g., different protein concentrations, pattern geometries, combinations of proteins, etc.). The asterisk represents the micro-well containing the reference pattern. (E) Schematic view of micro-well where a reference pattern has been generated in the top part (arrow with filled arrowhead). This reference pattern is required to obtain the optimal laser focus for patterning (see step 4). Arrow with empty arrowhead indicates the central area of the micro-well, which will be used for subsequent patterning after system calibration. Please click here to view a larger version of this figure.

Figure 5: Software set-up for micro-patterning. (A) Pattern template with parallel stripes designed with ImageJ and saved as an 8-bit Tiff file. (B-D) Schematic view of digital ROIs (regions of interest) that will overlap with the current micro-wells where micro-patterns will be generated. (B) The pattern template to be used (length 1824 pixel=415 µm, width 1140 pixel=260 µm) is selected on Leonardo and is projected on the ROI as a design unit (red stripes in the black dashed rectangle), which will cover approximately 0.1 mm2 of the micro-well area. The design unit is replicated in 4 columns and 4 lines in the Replication menu (template configuration), creating a pattern across the micro-well. NOTE the space among the columns. (C) To pattern continuous stripes, the spacing between columns has to be adjusted. In this case, to achieve an overlap among design units the spacing between columns is set in the replication menu as Negative spacing, -20 µm. (D) In order to pattern multiple proteins in the same micro-well, an accurate alignment of the patterns is required. During the software set-up step (step 5), upload all desired pattern templates simultaneously. On the Actions list, select only the specific actions to be patterned during each patterning round and deselect the rest of the actions (step 5.12, 5.13 and 8.2). Please click here to view a larger version of this figure.

Figure 6: Analysis of pattern variability using LIMAP. (A) Pattern template designed with ImageJ used to micro-pattern four stripes of varying width (20, 10, 5, 2 µm, from top to bottom). (B) Micro-pattern obtained after incubation with 10 µg/mL of fluorescently-labeled fibrinogen (green). (C) Intensity measurements along a vertical line crossing the stripes of the micro-pattern. (D) Vertical fluorescence intensity profile obtained from measurement in (C). NOTE that at larger widths (20 µm) there is a variation in the vertical profile caused by the accumulation of protein at the edges of the stripe, resulting in two distinct fluorescence intensity peaks (edge effect). This effect is only seen in stripe widths ≥20 µm. (E) Intensity measurements along the depicted horizontal lines (fluorescence and background). (F) Horizontal fluorescence intensity profiles obtained from measurements in (E). (G) Graph showing the mean intensity for each stripe width, measured from four individual replicated design units (inter-pattern variation). NOTE the reduced protein adsorption to patterns of 2 µm stripe width. (H) The variation within the patterned stripes (coefficient of variation) was low for all stripe widths, ranging from 3 to 10%. Data in G and H shown as mean ± SD. Statistical analysis in G and H was performed using one-way ANOVA (Kruskal-Wallis) non-parametric test with multiple comparisons. P value is <0.001 for ** significance. Please click here to view a larger version of this figure.

Figure 7: The effect of variations in laser power and protein concentration for protein adsorption efficiency. (A) The PLL-PEG surface was laser-cleaved with a constant laser dose (1390 mJ/mm2) and incubated with the indicated concentrations of fluorescently-labeled laminin (magenta). (B) Quantification of fluorescence intensity of the laminin stripes in (A). (C) The different indicated laser doses were applied followed by incubation with the same concentration (10 µg/mL) of fluorescently-labeled fibronectin (green). (D) Quantification of fluorescence intensity of the fibronectin stripes in (C) showing that higher laser doses correlate to higher levels of adsorbed protein. All measurements are background subtracted. Sample numbers are indicated at the bottom of columns; data is shown as mean ± SEM. Statistical analysis was performed using non-parametric Mann-Whitney test with two-tailed calculation. P-value is <0.0001 for **** significance. Please click here to view a larger version of this figure.

Figure 8: Generation of a protein concentration gradient within a micro-pattern. (A) Gradient pattern template in greyscale. (B) Fluorescence intensity profile measured from (A). (C) Pattern obtained with LIMAP from pattern template in (A) after incubation with 10 µg/mL of fluorescently-labeled fibronectin (green). (D) Fluorescence intensity profile of n = 3 stripes and background represented as mean ± SEM, showing the linear increase in intensity of the protein gradient. Please click here to view a larger version of this figure.

Figure 9: The cross-binding effect when patterning several proteins sequentially. (A-C, E-G) Cross-patterns with 10 µm stripes of fluorescently-labeled fibronectin (cyan, horizontal) and fluorescently-labeled laminin (magenta, vertical). (A-C) Samples treated with BSA blocking buffer. (E-F) Samples treated with PLL-PEG for blocking unspecific binding sites (step 7). (A,E) Merged fluorescence channels showing both fibronectin and laminin. (B,F) Image showing fibronectin only. (C,G) Image showing laminin only. For C, note the presence of laminin also on horizontal fibronectin positive stripes which is due to the ineffective blocking of unoccupied binding sites with BSA. For G, note that blocking with PLL-PEG prevents efficiently binding of laminin to the fibronectin stripes. (D,H) Fluorescence intensity profiles obtained from indicated measurements (diagonal yellow line) in A and E, respectively. Please click here to view a larger version of this figure.

Figure 10: Cross-patterns to investigate neurite/axon pathfinding. (A-C) Cross-patterns with 10 µm stripes of fluorescently-labeled fibronectin (cyan, horizontal) and fluorescently-labeled laminin (magenta, vertical). (A,B) Fluorescent images of CAD cells with neurites growing along the micro-patterns. To visualize neurites, cells were cultured for 48 h, fixed with 4% PFA and stained for tubulin (A) or tubulin and actin (B). (C) Rat dorsal-root ganglion (DRG) neurons with axons growing along the micro-patterns. To visualize axons, DRG neurons were cultured for 72 h, fixed with 4% PFA and stained for tubulin. Please click here to view a larger version of this figure.

Figure 11: Examples of common negative results obtained when generating micro-patterns with LIMAP. (A-C) Sub-optimal patterned stripes of 10 µg/mL fluorescently-labeled fibrinogen (green) obtained under different circumstances. (A) The micro-well dried out during pattern generation. Note the high levels of fluorescence in the background (arrow) and the presence of PBS crystals (asterisks). (B) The stitching between the stripes was not properly adjusted during software set-up resulting in discontinuous stripes with gaps (arrow) among design units (see step 3.4.7). (C) The laser focus was sub-optimal causing diffused stripes (arrows) which do not represent the actual stripe widths of the pattern template, which should be 20, 10, 5, 2 µm from top to bottom, as in (B). Please click here to view a larger version of this figure.