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. Author manuscript; available in PMC: 2025 Jul 17.
Published in final edited form as: Cell Syst. 2024 Jul 8;15(7):649–661.e9. doi: 10.1016/j.cels.2024.06.004

Highly parallel production of designer organoids by mosaic patterning of progenitors

Catherine M Porter 1,2,5, Grace C Qian 1,2, Samuel H Grindel 1,2, Alex J Hughes 1,2,3,4,5,6,*
PMCID: PMC11257788  NIHMSID: NIHMS2005778  PMID: 38981488

Summary

Organoids derived from human stem cells are a promising approach for disease modeling, regenerative medicine, and fundamental research. However, organoid variability and limited control over morphological outcomes remain as challenges. One open question is the extent to which engineering control over culture conditions can guide organoids to specific compositions. Here we extend a DNA ‘velcro’ cell patterning approach, precisely controlling the number and ratio of human induced pluripotent stem cell-derived progenitors contributing to nephron progenitor (NP) organoids and mosaic NP/ureteric bud (UB) tip cell organoids within arrays of microwells. We demonstrate long-term control over organoid size and morphology, decoupled from geometric constraints. We then show emergent trends in organoid tissue proportions that depend on initial progenitor cell composition. These include higher nephron and stromal cell representation in mosaic NP/UB organoids vs NP-only organoids and a ‘goldilocks’ initial cell ratio in mosaic organoids that optimizes formation of proximal tubule structures.

Graphical Abstract

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eTOC Blurb

Organ formation depends on close communication among different cell types, which is open to engineering control in organoid models. Using a DNA-based cell patterning technology, we demonstrate that precise control over the initial numbers and ratios of epithelial progenitors modulates tissue composition and morphology in a human kidney organoid example.

Introduction

Kidneys are structurally and compositionally complex organs that remove waste, maintain fluid and biochemical homeostasis, and produce hormones with diverse functions.1 Kidney organoids derived from human induced pluripotent stem cells (hiPSCs) offer an in vitro means of modeling kidney development and disease, conducting drug and genetic screens, and producing renal replacement tissue.26 Long-term, the generation of fully functional tissues for transplantation could benefit the 1 in 10 people globally who suffer from kidney disease.7 To date, many of the more than 26 renal cell types have been differentiated in kidney organoids.3,4,816 Additionally, self-organization alone of differentiating kidney progenitors is capable of creating proximal-to-distal segmentation of nephrons and some branching morphogenesis of ureteric bud (UB) epithelium (the future urinary collection network).13,1720 However, the application of kidney organoids for renal replacement therapy has been hindered by several major roadblocks, such as limited organoid production scale, reproducibility, physiologic structure, connectivity, and functionality.21 Deficits in organoids include insufficient branching of the collecting duct tree, incomplete fusion between UB tips and functional nephrons, and the absence of a single urinary exit path.22

Variability in kidney organoids also poses a barrier to their implementation in drug, phenotypic, and toxicological screens.23 Prior studies predominantly characterized limited reproducibility between batches and in organoids derived from different stem cell lines.16,2427 However, variation in morphogenetic patterning, even within batches, highlights the need to standardize local microenvironments and circumvent limitations in self-assembly outcomes that contribute to unpredictable organization of tissue types within organoids.23 The inherent complexity of the kidney, both structurally and compositionally, is likely a major factor contributing to this variability. For example, mimicking kidney structure and organization in organoids will require the contribution of several progenitor cell populations, which arise from different spatiotemporal origins in vivo,4,17,18,2830 whereas, e.g., gut organoids produce high cell diversity and crypt organization from a single Lgr5+ population.31

Previous approaches to mitigate organoid limitations have focused on controlling biochemical signaling.3,10,19,26 However, their modest success motivates new modes of engineering control over other factors, such as initial cell population size, multi-progenitor composition, and boundary conditions,19,32,33 with advantages recently emerging.2,5,6,11,33 Several studies have demonstrated that controlling size and spatial characteristics of organoids and other pluripotent cell cultures can bias their development toward specific outcomes.3436 Emerging efforts for kidney organoids have begun to demonstrate similar advantages, for example, by miniaturizing kidney organoid production11,33 or standardizing geometric features using bioprinting.6 However, scalable suspension culture methods lack control over initial cell quantities, imparting variability in micro-organoids,5,11 whereas microwell systems rely on geometric confinement to produce single organoids per well.37,38 Thus, no engineering approach has combined precise control of initial size and cell composition (independent of physical boundary conditions), extended culture/imaging, and high throughput.

Here, we modulate organoid outcomes by adjusting the numbers and ratios of kidney progenitors seeded into organoid cultures. We integrate a high-precision, rapid cell patterning technology – photolithographic DNA-Programmed Assembly of Cells (pDPAC)3944 – with a microwell organoid culture system. With pDPAC, we can spatially pattern kidney progenitor cell types in defined numbers and ratios at the onset of tissue culture. Furthermore, implementing pDPAC in a 3D microwell array allows us to set the position and physical boundary conditions on developing organoids. This enables unencumbered expansion of cultures over time in a format suited to long-term tracking of individual organoid development. With the precision afforded by our method, we demonstrate that minor adjustments in initial cell composition alter organoid outcomes, as they bias between different organoid morphologies over time. This rectifies a source of variation in previous organoid protocols that did not precisely control initial cell composition. In our organoids differentiated from hiPSC-derived nephron progenitors (NPs), we observed an increase in proximal tubule and a decrease in distal tubule proportions with increasing organoid size, as controlled by the initial numbers of NPs patterned using pDPAC. In mosaic organoids, distal tubule proportion and organoid endpoint size increased with increasing initial NP:UB tip cell ratio, while proximal tubule proportion peaked at a 1:1 ratio. Our work makes advances that will benefit organoid models of disease, screens, and next-generation tissue assembly strategies for producing replacement renal tissues.

Results

To decouple organoid size from boundary constraints, we adapted a precise and rapid cell patterning technology, pDPAC,3944 to a microwell format suited to long-term organoid culture (Fig. 1A,B). We targeted three design opportunities: 1) precise hiPSC-derived progenitor cell number and compositional control, 2) transition of 2D patterns to self-organized 3D spheroids open to continued differentiation, and 3) sequestering individual organoids in optically-accessible microwells through 15+ day culture periods, enabling imaging and preventing aggregation (Fig. 1A,B, Fig. S1). A key advance was to follow transient 2D cell patterning on the culture substrate with a transition to 3D culture/differentiation. We achieve 2D patterning via single-stranded DNA (ssDNA) photolithographically bound with high spatial precision to a photoactive polyacrylamide (PPA) substrate on a glass slide; ssDNA spot diameters in the range of 10–200 μm were within 22% ± 25% of their nominal diameters on the corresponding photolithography mask and within 5% coefficient of variation (CV) for a given diameter (Fig. S2). We incorporate complementary lipid-conjugated ssDNAs into cell membranes by passive insertion such that they are transiently displayed on cell membranes.41,43 Base-pairing between cell- and PPA substrate-bound ssDNAs thereby creates temporary adhesions for cell patterning. Multiple orthogonal ssDNA sequences can be serially patterned for multiplexing cell populations.

Fig. 1: Overview of integrated cell patterning and microwell system, with validation of long-term compositional modulation via precise control over initial cell number and ratio.

Fig. 1:

(A) Schematic of PA gel cell patterning substrate, photopatterned with adhesive ssDNA, and non-adhesive PDMS microwell overlays and their assembly in standard chamber slide format for 8-plex microwell cultures. (B) Schematic of assay for example of hiPSC-derived SIX2+ NP lineage patterning and differentiation to nephron organoids. (C) 3D rendering of example ssDNA feature and associated microwell, with rhodamine-methacrylamide co-monomer incorporated into the non-adhesive PA coating for visualization. (D) Left, montage of fluorescence micrographs of representative MDCK cell patterns over a range in ssDNA spot sizes. The montage is a composite with the brightfield channel processed with ‘find edges’ in FIJI to emphasize cell contours. Right, box and whisker plot of patterned cell numbers by spot diameter (n ≥ 9 spots per condition), along with Poisson distribution expected for passive microwell seeding, modeled using λ = mean of experiment distribution and n = 200 random Poisson-distributed numbers. (E) Montage of representative micrographs of MDCK cell patterning on dual ssDNA patterns and corresponding cell number histogram (mean ± S.D., n = 10 patterns per area ratio). (F) Left, sum slices projection micrograph montage of representative condensed 3D mosaic spheroids created from the 2D MDCK cell patterns in (E) after 72 hours in culture. Right, histogram of sum of H2B-FP marker areas in 10 μm step confocal planes over the range of ssDNA patterning area ratios (mean ± S.D., n ≥ 6 patterns per area ratio).

In order to sequester 3D cultures long-term, we integrated microwells with our system. To create microwell walls, sheets of conical PDMS through-hole arrays were fabricated by replica micromolding. These were passivated with a polyacrylamide brush layer and registered and adhered to DNA micropatterns to within 15.7 μm ± 10.3 μm (mean ± S.D., n = 16 patterns within microwells) (Fig. 1C, Fig. S3, Movie S1, STAR Methods). Each array was positioned to be compatible with a removable 4 × 2 culture chamber overlay, which divided each slide into 8 independent culture chambers (Fig. 1A). During preliminary validation, we found that microwell arrays did not interfere with Madin-Darby canine kidney cell (MDCK) patterning, retained low non-specific cell adhesion properties, and minimized subsequent spheroid spreading/migration (Fig. S4, STAR Methods). pDPAC increased precision in patterned cell number for a 200 μm spot size from 11% to 4.5% CV relative to that predicted by Poisson loading (Fig. 1D). After patterning, MDCKs formed 3D spheroids spontaneously within ~6 hours, with 2% Matrigel increasing aggregation efficiency. Confocal imaging and growth curves showed that spheroid size was predicted by ssDNA pattern diameter 1–3 days after the transition to 3D culture (Fig. S4B,C). When orthogonal ssDNA strands were used to pattern independent MDCK populations, cell number ratio was modulated in a manner dependent upon pattern area ratio, and differences in spheroid composition were retained 72 hr after the 3D transition (Fig. 1E,F, Fig. S5, Movie S2). We verified that using multiple unique ssDNA strands to pattern ratios of the two MDCK populations in juxtaposition (‘multiplexed’) gave an advantage in precision over patterning of premixed cells at different ratios using a single ssDNA (‘mixed’, Fig. S6). We counted MDCK-VFP and MDCK-iRFP cells prior to mixing them in a 1:1 ratio and patterning them on 200 μm × 200 μm square patterns of a single ssDNA. Although we achieved comparable median cell ratios, we found that variance was 8x higher in the mixed group and 7x higher in a model of Poisson-distributed loading relative to the multiplexed group. Together, these data validated precise 2D cell patterning on ssDNA and a transition into 3D spheroids of controlled size and composition that persisted after extended culture.

We next tackled kidney organoid culture, starting first with the production of nephron organoids from varying initial quantities of hiPSC-derived NPs. We differentiated SIX2+ NPs15,45 (Fig. 2A,B) lacking mature lineage marker expression prior to patterning (Fig. S7). Patterning NPs in microwells using pDPAC, we triggered a 2D-to-3D transition by cleaving ssDNA tethers using DNase and then continued differentiation. Cells successfully condensed into single organoids within ~4 hr (Fig. 2B, Movie S3) in the presence of 1% Matrigel. 233 of 240 wells (97%) contained single organoids and only 3 (1.3%) were empty at the differentiation endpoint. In contrast, after 6 days, cells that had been passively seeded by gravity typically formed multiple rather than single organoids in a cell-density dependent manner (Fig. S8). This validates that NPs aggregate with nearby neighbors, which can be decoupled from persistent geometric constraint and accomplished by achieving close cell-cell proximity on ssDNA islands.

Fig. 2: Initial nephron progenitor number biases the emergence of cell types along the early nephron proximal-distal axis.

Fig. 2:

(A) Patterning and differentiation timeline. (B) Left, immunofluorescence of SIX2EGFP progenitors prior to pDPAC. Middle, montage of brightfield examples after cell patterning for ssDNA feature diameters ø. Images were processed with ‘find edges’ in FIJI to emphasize cell contours. Right, frames from Movie S3 showing 2D to 3D transition. (C) Left, timepoints of representative organoids formed from 2D patterns of different ø. Middle, representative growth curves (n = 10 organoids per group). Right, organoid montage at day 23 timepoint. (D) Representative confocal immunofluorescence sections of organoids at day 25 endpoint. Organoids were manually segmented and arranged as a montage on a black background for clarity. Inset, detail of organoid and cell lineages. (E) Similar organoid from cells differentiated for 7 rather than 10 days in monolayer prior to patterning. LOH: loop of Henle. (F) Top, segmentation scheme for cell types in day 25 organoids. Bottom, plot of organoid composition (ratio of cell type area to total area of all cell types measured, mean ± S.D., 3–7 slices per n = 10 organoids per ø, Tukey’s multiple comparisons test, *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001).

To determine if the initial cell number could be used to gain control over organoid size and cell composition, we patterned NPs on ssDNA features with diameters ø of 200–500 μm. After 15 days of differentiation, projected organoid area faithfully reflected differences in initial pattern diameter (Fig. 2C). We wondered if the starting pattern size would also change differentiation outcomes. Organoids expressed markers for podocytes (NPHS1/nephrin), proximal tubule (LTL), medial/loop of Henle (SLC12A1), distal tubule (ECAD+ LTL−), and connecting segment (GATA3) nephron cell types (Fig. 2D,E) and surrounding stromal-like cells (MEIS1/2/3, Fig. S9) at the endpoint. Our culture system was compatible with varying protocols, e.g. shortening differentiation from 10 to 7 days before pDPAC and applying a CHIR pulse (Fig. 2E), which tends to distalize organoids.19 Additionally, it was compatible with NPs derived from a different cell line, PENN123i-SV20 hiPSCs46 (Fig. S10). We segmented day 25 immunofluorescence z-stacks and quantified cross-sectional areas for podocytes, proximal tubule, and distal tubule (Fig. 2F, Fig. S11). The starting pattern size impacted organoid composition. In particular, the representation of proximal tubule as a % of all non-stromal structures significantly increased from 40% ± 8.6% to 61% ± 7.3% from pattern size ø of 200 to 500 μm (mean ± S.D., n = 10 organoids per ø). We observed similar trends in nephron segmentation in a replicate experiment, in which we supplemented medium with 10 ng/ml recombinant human Laminin-521 instead of 1% Matrigel during the lifting and aggregation phase of the NPs (Fig. S12). Thus, micropatterning control of initial nephron progenitor number offers control over organoid size, which affects cell differentiation.

Our data thus far suggested that pDPAC was compatible with 2D patterning, 3D aggregation, and differentiation of the NP lineage toward multiple kidney cell types. We next recognized an opportunity to leverage the multiplexed patterning capabilities of pDPAC to produce mosaic organoids by co-patterning both hiPSC-derived NPs and UB tip cells (Fig. 3A), mimicking their juxtaposition in vivo.47 We focused on these two cell types because reciprocal regulation of NP and UB cell populations through non-autonomous cues appears to be crucial to setting kidney size and nephron endowment during kidney morphogenesis.4851 UB tip cells were trans-differentiated from distal nephron cells15 (Fig. S13A), forming ruffled epithelial organoids with appropriate expression of GATA3, RET (Fig. 3B), and additional markers (ECAD, cytokeratin) consistent with UB identity15 (Fig. S13B). We conducted a viability assay after patterning UB tip cells on ssDNA spots with diameters ø 500 μm (Fig. S13C). Among patterned cells, 99.2% ± 0.4% were viable post pDPAC (mean ± S.D., n = 5 patterns of UB tip cells, STAR Methods). We then created mosaic organoids ranging in initial ssDNA area ratios (1:5, 1:2, 1:1, 2:1, 5:1), directing independent adhesion of NPs and UB tip cells to a constant 300 μm square pattern (Fig. 3C). Patterned cell ratios differed from nominal ssDNA area ratios by only 11.0% ± 5.2% (mean ± S.D., n ≥ 4 patterns per ratio) (Fig. S14). Mosaic NP/UB tip cell patterns created with pDPAC successfully condensed into 3D spheroids within 24–48 hours after DNase treatment (Fig. 3C). Next, we scanned culture parameters to find suitable induction/culture conditions for mosaic NP/UB organoids (STAR Methods). When NPs were exposed to a 60 min, 7 μM CHIR pulse prior to pDPAC, NP and UB populations sorted, forming ‘core-shell’ morphologies mimicking the in vivo interface (Fig. 3C) and the self-organization of dissociated mouse embryonic kidney cells.52,53 However, without the CHIR pulse, sorting was inverted, and NPs formed cores (Fig. 3C). A shift in NP cadherin expression via canonical WNT signaling could explain the change in cell sorting outcome as dictated by differential adhesion.5456 Our data demonstrate successful integration of distinct hiPSC-derived progenitor lineages into mosaic organoids after cell patterning.

Fig. 3: NP/UB tip cell mosaic organoids model the nephrogenic niche interface and grow in a ratio dependent manner.

Fig. 3:

(A) Patterning and differentiation timeline. (B) Confocal micrographs of GATA3+ RET+ UB tip cell organoids. (C) Montage of representative fluorescently labeled UB tip cell and NP co-patterns, and transition to 3D culture +/− NP CHIR-pulse prior to patterning. Right, schematic of in vivo niche geometry and signaling (UE, ureteric epithelium). (D) Left, time-point images of example mosaic organoids formed from 2D patterns of different NP:UB cell ratios. Right, representative growth curves (n ≥ 6 organoids per group). (E) Example NP-only and UB tip cell-only organoid controls, Left, over time, and Right, at culture day 25.

We next sought to understand the long-term influence of initial cell ratio on organoid morphology and composition. We started by tracking the growth of mosaic organoids, collecting brightfield images every 2–3 days throughout culture in microwells. Mosaic organoid growth increased with increasing NP:UB tip cell ratio, implying higher proliferation of NPs relative to UB (Fig. 3D). NP-only control organoids grew steadily compared to UB-only controls, which formed cystic structures that inflated, deflated, and fragmented (Fig. 3E). Substrate-adherent, stromal-like cells were found in mosaic NP/UB tip cell organoids and NP-only controls but not in UB-only controls (Fig. 3E). Regardless of starting ratio, mosaic organoids displayed a phase of reducing area between day 23 and 25 post cell patterning, likely due to tissue compaction.57 These data demonstrate the effect of starting kidney progenitor ratio on organoid growth and long-term viability.

To analyze the effects of NP:UB tip cell ratio on endpoint composition, we performed confocal immunofluorescence analysis of day 26 mosaic and control organoids (Fig. 4). We used markers of ureteric epithelium (UE)/connecting segment (GATA3+ ECAD+), Calbindin1+ tissue (CALB1+), distal tubule (ECAD+ LTL− GATA3−), proximal tubule (LTL+), and podocytes (NPHS1+). Through manual image segmentation, we found that only 1 of 10 organoids derived from an initial NP:UB tip cell patterning ratio of 1:5 produced NP-derived proximal tubule, distal tubule, or podocytes (Fig. 4C, Fig. S15). Moving to a 1:2 initial NP:UB tip cell ratio rescued nephron structure formation in 9 of 10 organoids, suggesting that a minimum number or ratio of NPs is required for nephrogenesis. The proportion of proximal tubule structures increased and then decreased with increasing initial NP cell ratio (Fig. 4C, Fig. S15B), peaking at 1:1. This suggests a ‘goldilocks’ NP:UB tip cell ratio that maximizes proximal tubule. Since no such peak was found in NP-only organoids, this indicates an interaction between NP cell-autonomous and non-autonomous cues from the UB or UB-derived cells in proximal tubule induction.19,58 Distal tubule monotonically increased with increasing initial NP:UB tip cell ratio, while GATA3+ ECAD+ connecting segment/UE structures decreased (Fig. 4C, S15B). Together, these data show that modulating the initial ratio of NPs:UB tip cells in mosaic organoids shifts the representation of epithelial tissue types along the proximal-distal axis.

Fig. 4: NP/UB tip cell mosaic organoids trigger cell ratio-dependent emergent patterning.

Fig. 4:

(A) Representative confocal immunofluorescence sections of organoids at day 26 endpoint. Organoids were manually segmented and arranged as a montage on a black background for clarity. (B) Example endpoint UB-only and NP-only controls, immunostained, segmented, and montaged as in (A). (C) Mosaic organoid composition (ratio of cell type area to total area of all cell types measured) vs NP:UB cell pattern area ratios (mean ± S.D., 1–8 slices per n = 10 organoids per ratio, Tukey’s multiple comparisons test, *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001). (D) Example Calbindin+ (CALB1+) structures, with rare connections to (3/50 organoids) or juxtaposition to (3/50 organoids) distal nephron structures. Arrowheads denote connected (top) and unconnected (bottom) junctions.

We saw no significant differences in the proportion of CALB1+ structures and only minor differences in representation of podocytes across all starting ratios (Fig. S15). While not specific to UE in vivo, CALB1 is highly upregulated there throughout development.15,30,59,60 In developing human embryonic kidneys, specificity of CALB1 to UE has been shown to extend through gestational week 28.60,61 Furthermore, in previous hiPSC-derived mosaic NP/UB organoids, CALB1+ structures were derived exclusively from UB cells and not from SIX2+ NPs.60 Therefore, it is highly likely that CALB1+ structures in our mosaic organoids are also UB-derived. In rare instances (3/50 organoids), we observed complete in vivo-like connection of CALB1+ structures with GATA3+ ECAD+ connecting segment/UE, along with proper distal-to-proximal segmentation. We observed an equivalent number of CALB1+ structures juxtaposed but not contiguous with GATA3+ ECAD+ structures (Fig. 4D). In controls, CALB1+ structures were not observed, implying that NP and UB interaction is required for CALB1 upregulation. Overall, our results demonstrate emergent inductive phenomena in mosaic NP/UB tip cell organoids. These include changes in cell state of presumptive UB-derived tissues and some connectivity/juxtaposition of these tissues to distal nephron structures.

The interaction of NPs and UB tip cells also altered the organization and volume of mature epithelialized structures and stromal-like populations. Tight conglomerates of multiple tubules with proximal or distal identities formed in NP-only organoids. However, in mosaic organoids, individual tubules were separated by stromal-like cells and were often spatially aligned, either radially or laterally (Fig. S16A). We quantified the interdigitation of stromal-like cells between epithelialized structures in mosaic and NP-only organoids. To size-match the final organoid area for comparison, we selected NP-only organoids originally patterned on 500 μm ssDNA spots and mosaic organoids with a nominal 2:1 NP:UB tip cell patterning ratio. We then manually segmented the epithelialized structures in the approximate midplane of each organoid. We calculated the organoid solidity, defined as the collective area of the epithelialized structures divided by the area of their convex hull (Fig. S16). We found that NP-only organoids had a solidity of 0.88 ± 0.06, whereas mosaic organoid solidity was lower at 0.62 ± 0.07 (mean ± S.D., n = 10 organoids for each condition). This result indicates higher separation of individual epithelial structures by interdigitating stromal-like cells in mosaic organoids. Moreover, in some ratios of mosaic organoids that were provided fewer NPs than NP-only organoids, areas of nephron structures were larger. For example, organoids differentiated from NPs patterned on ssDNA spots with an area of 7.07 × 104 μm2 (ø = 300 μm) had 6.90 × 104 μm2 ± 2.36 × 104 μm2 (mean ± S.D., n = 10 organoids) of nephron structures, whereas mosaic organoids with NP:UB tip cell ratio of 1:1 patterned on a smaller ssDNA area of 4.50 × 104 μm2 had higher areas of these nephron structures, totaling 8.75 × 104 μm2 ± 2.57 × 104 μm2 (Fig. S17A). This result implies expansion of the cap mesenchyme population and/or higher proliferation of committed NP progeny62 in mosaic organoids where UB cells are present. Expansion of the stromal-like population was even higher in mosaic organoids compared to NP-only organoids (Fig. S17B). The stromal-like population comprised 55.6% ± 9.2% (mean ± S.D., n = 40, 10 organoids per ø) of the segmented areas of the NP-only organoids, whereas it comprised 80.9% ± 5.3% (mean ± S.D., n = 50, 10 organoids per ratio) in mosaic NP/UB tip cell organoids. In both cases, stroma increased proportionally with overall organoid size such that there were no significant differences in stromal proportions across all NP-only or mosaic organoid conditions, although we observed a minor decreasing trend in NP-only organoids (Fig. S17C). Our data suggest that inductive cell-cell interactions in mosaic NP/UB tip cell organoids synergistically increase organoid growth, predominantly in a stromal compartment that interdigitates between epithelial structures.

Taken together, these data show that initial NP:UB tip cell ratio in mosaic kidney organoids modulates compositional outcomes through emergent inductive phenomena. Adjusting epithelial progenitor ratios shifts the representation of total nephron tissue, cell types along the proximal-distal axis, and epithelial vs stromal tissues, while enabling some higher-order connectivity between UB and NP-derived structures.

Discussion

Our modified pDPAC system integrates precision cell patterning with microwells for long-term 3D culture. We observed various trends in emergent organoid morphology and composition based on initial progenitor patterning parameters. In NP-derived organoids, we first found positive correlations between progenitor number, organoid size, and the relative representation of proximal tubule tissue after differentiation. Meanwhile, in mosaic NP/UB tip cell organoids, we observed positive correlations between NP:UB tip cell ratio, final organoid size, and proportion of distal tubule. We also observed a ‘goldilocks’ 1:1 NP:UB tip cell ratio that optimized formation of proximal tubule structures, as well as a distinctive separation and alignment of individual epithelialized structures in mosaic vs NP-only organoids. These data may be consistent with a recent study that suggests proximal tubule cell identity is favored in organoids that undergo extended mesodermal patterning prior to nephrogenesis.19 To demonstrate this, Vanslambrouck et al. prolonged the culture of differentiating NPs in monolayer under exposure to exogenous WNT agonist CHIR, NOTCH inhibitor DAPT, and BMP7, expanding the SIX2+ metanephric population. In turn, this NP population more frequently contributed to proximal rather than distal tubules in nephron organoids. Here in our mosaic organoids, cues provided to NPs by UB tip cells may have similarly maintained and expanded the metanephric population prior to nephrogenesis. This resulted in the highest proximal tubule proportion at the 1:1 NP:UB tip cell ratio, which was countered by an increase in distal tubule proportion with increasing NP:UB tip cell ratio. However, further investigation is needed to fully understand the underlying mechanism of these results.

In other organoid models, high homogeneity is possible when starting from controlled aggregates of a single progenitor cell type, such as in formation of gut organoids from Lgr5+ stem cells.63 However, formation of the kidney in vivo requires non-autonomous interactions between several progenitor populations (UB tip cells, NPs, and interstitial/stromal progenitors) with separate developmental origins.2830 This likely explains the failure of kidney organoids to recreate all early kidney cell types in the same protocol.19,29,64 The field has therefore turned to co-culture models that combine several progenitors,3,15,17,18 which formed our rationale to tightly control progenitor number and composition in our work with mosaic organoids. The balance between proliferation and differentiation within NPs in the cap mesenchyme is tightly dependent on reciprocal cues exchanged with nearby UB tips.49,50 For example, Cebrian et al. genetically ablated a fraction of GDNF-expressing cap mesenchyme cells in mouse embryonic kidneys and found a self-correcting mechanism in which the branching rate of UB epithelium reduced to maintain a constant proportion of cap mesenchyme cells to UE tips.48 In our in vitro cultures of mosaic organoids, we did not observe UB branching or high proliferation of UB tip cells upon co-culture with NPs, in keeping with previous work.15 Rather, the higher expansion of nephron structures that occurred in the presence of UB tip cells indicates that at least part of the self-correction effect in vivo may operate through a mechanism of NP and/or committed NP progeny proliferation independent of a feedback through UB branching rate.

While we successfully modulated morphogenetic and compositional outcomes of the nephrogenic niche, our inability to do the same for the UB compartment – as well as a lack of efficient presumptive connectivity between these two niches – suggests several areas for future development. Ongoing studies to pinpoint differences in cell diversity and maturity between organoids and fetal kidneys may outline additional cell intrinsic or microenvironmental factors that must be added to guided differentiation approaches. Similarly, improved directed differentiation efforts may finally create the full complement of progenitors needed to reconstitute the kidney, in particular, human kidney stromal cell lineages.65 Exerting engineering control in the timing and spatial assembly of different progenitors66 may improve the potential for kidney organoids to achieve long-range organization, beyond that accessible by self-organization. For instance, in future work we will leverage the multiplexing capabilities and custom patterning of pDPAC to assay more complex initial 2D cell geometries that, once transitioned to 3D, adopt more physiologically-inspired tissue shapes and spatial organization.41 These could include 2D configurations that result in 3D branched or elongated morphologies, predictably break symmetry, and/or precisely adjust the quantity and relative positions of different cell compartments within organoids. Concurrently, new synthetic biology approaches, such as reporter iPSC lines45 and optogenetic control of cell biophysical or signaling properties,67,68 may be useful to monitor and drive a higher diversity of collective cell dynamics that functionally integrate tissue populations.

We have advanced precision cell patterning for 3D organoid culture to improve throughput, imaging accessibility, and size homogeneity, while offering new capabilities for control over morphogenetic outcome. Our work expands upon cell aggregation by centrifugation, agitation, or seeding in microwells,2,4,11,33,63 which lack precise control over organoid size and composition, and cell patterning in 2D that lacks a transition to 3D self-organization.34 We contribute an integrated ssDNA-based cell patterning and long-term microwell culture platform that is compatible with hiPSC-derived cell lineages. Our technology offers opportunities for automation and tracking that enable studies of growth, cell sorting, segmentation, and fusion of different structures/cell populations. These advances enable controlled initial conditions and downstream screens applicable to diverse organoid and synthetic embryo systems.

STAR Methods

RESOURCE AVAILABILITY

Lead contact

  • Further information and requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Alex J. Hughes (ajhughes@seas.upenn.edu).

Materials availability

  • This study did not generate new unique reagents.

Data and code availability

  • All data reported in this paper will be shared by the lead contact upon request.

  • This paper does not report original code.

  • Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

EXPERIMENTAL MODEL AND SUBJECT DETAILS

Cell lines

Madin-Darby canine kidney cells (MDCKs, female) expressing H2B-VFP or H2B-iRFP (nuclear green and red fluorescence, respectively) were generated in earlier work by lentiviral transduction and maintained as previously described.43,44 Briefly, cells were passaged using 0.25% Trypsin (Thermo Fisher Scientific, 25300056) and cultured at 37°C and 5% CO2 in T-175 flasks (Corning) in minimum essential medium (MEM, with Earle’s Salts and L-glutamine, Corning, 10-010-CM), 1x pen/strep (100 IU mL–1 penicillin, and 100 μg mL–1 streptomycin, 100x stock, Invitrogen, 15140122), and 10% fetal bovine serum (Corning, 35-010-CV).

Nephron progenitor (NP) and ureteric bud (UB) tip cells were derived from human hiPSCs similarly to previous reports.11,15,64 SIX2EGFP reporter hiPSCs45 or PENN123i-SV20 hiPSCs46 were maintained at 37°C and 5% CO2 on plates coated with Matrigel (hESC-qualified, Corning, 354277) in mTeSR Plus (STEMCELL Technologies, 100-0276) with 1x pen/strep and passaged every 3–4 days using Gentle Cell Dissociation Reagent (STEMCELL Technologies, 100-0485) for clump passaging, or Accutase (Thermo Fisher Scientific, A1110501) for single-cell passaging. Genomic integrity was confirmed by molecular karyotyping through the Induced Pluripotent Stem Cell Core, Penn Institute for Regenerative Medicine.

PENN123i-SV20 (male) was obtained from the University of Pennsylvania iPSC Core Facility. Distribution of this cell line was supported by U01TR001810 from the NIH. The SIX2EGFP reporter hiPSCs (SIX2-T2A-EGFP, male, parental line CRL-2429 from ATCC) were obtained from Murdoch Children’s Research Institute/Washington University Kidney Translational Research Center and Division of Nephrology.

hiPSC-derived NPs

hiPSCs were lifted and dissociated to single-cell suspension with Accutase at 37°C, counted with a hemocytometer and seeded at 65,000 cells per well in a 6-well culture plate coated with rhLaminin-521 (Thermo Fisher Scientific, A29249). The following day, induction of intermediate mesoderm began using 7 μM CHIR99021 (R&D Systems, 4423), a WNT agonist, in TeSR-E6 medium (STEMCELL Technologies, 05946) with 1x pen/strep for 5 days. Media was then swapped to 200 ng ml−1 FGF9 (R&D Systems, 273-F9–025) and 1 μg ml−1 heparin (Sigma-Aldrich, H4784) in TeSR-E6 with 1x pen/strep for 5 days to induce NPs. On day 10, cells were dissociated with Accutase at 37°C to single-cell suspension, diluted 5x with TeSR-E6, and pelleted at 200 g for 3 min.

hiPSC-derived UB tip cells

UB tip cells were trans-differentiated from NP cultures derived similarly to the above, except with two adjustments thought to favor anterior intermediate mesoderm from which the ureteric epithelium derives in vivo and/or more distal nephron cell identity.15 Specifically, the CHIR step was reduced to 3 days, and 200 ng ml−1 FGF9 was replaced with 600 ng ml−1 FGF2 (R&D Systems, 233-GMP-01M) for 4 days. Cells were then dissociated with TrypLE (Thermo Fisher Scientific, A1285901) at 37°C to single-cell suspension, diluted 5x with TeSR-E6 containing 1x pen/strep and pelleted at 300 g for 2.5 min. Media was aspirated and cells resuspended as a dense slurry in residual media. 2 μl of this slurry were spotted onto 0.4 μm polyester transwell membranes in 6-well plates, with 4 spots (organoids) per membrane. Organoids received a CHIR pulse by culturing at the air-liquid interface for 1 hr in the presence of 7 μM CHIR99021 in TeSR-E6 medium with 1x pen/strep in the lower transwell compartment (1.2 ml well−1). Media was swapped to TeSR-E6 supplemented with 1x pen/strep, 600 ng ml−1 FGF2, and 1 μg ml−1 heparin for 5 days, and then to TeSR-E6 supplemented with 1x pen/strep and 0.1 μM TTNPB (a retinoic acid analogue, Tocris Bioscience, 0761) for 13 days.

To begin transdifferentiation, day 20–25 organoids were dissociated with 200 μl 1:1 TrypLE:Accutase per organoid, occasionally agitating by gentle vortexing and trituration. The suspension was then diluted 5x with TeSR-E6 medium, pelleted for 3 min at 300 g, and resuspended at 6 × 106 cells ml−1 in 200 ng/ml FGF2, 3 μM CHIR99021, 0.1 μM TTNPB, 10 μM Y-27632 (Tocris Bioscience, 1254), 100 ng ml−1 GDNF, and 1x pen/strep (‘UB medium’). At least 6 × 105 cells (in 100 μl media) were then plated per well of a 6-well polyester Transwell plate. 1.2 ml of 1:1 Growth Factor Reduced Matrigel (GFR-Matrigel, Corning, 354230):UB medium were added on top of each transwell, and 2.3–2.5 ml of UB medium were added to each basolateral compartment. For passaging, Matrigel was first digested using 3 ml of dispase per well (PluriSTEM Dispase-II, 1 mg/mL, Sigma-Aldrich, SCM133) and incubated for 10 min in a 15 ml conical tube at 37°C, vortexing gently at 5 min intervals. 9 ml of TeSR-E6 medium with 1x pen/strep was then added and the mixture was pelleted at 500 g for 5 min. Partially degraded Matrigel was then aspirated off and the pellet subjected to continued dissociation with 2 ml of 1:1 TrypLE:accutase at 37°C for 15–25 min with periodic gentle vortexing. 10 ml of DPBS with 2% FBS was added and cells were pelleted at 500 g for 3 min, followed by resuspension as before and Transwell plating. At least one passage was required to obtain a 99% pure UB population, since UB propagation was favored over off-target cells in UB medium.15 Freezing medium for cell storage consisted of 10% DMSO, 40% knockout serum replacement (Thermo Fisher Scientific, 10828010) 50% TesR-E6, and 10 μM Y-27632.

METHOD DETAILS

Gels for single-stranded DNA photopatterning

Photoactivatable polyacrylamide (PPA) gels were fabricated on glass slides as previously described.43 Briefly, according to manufacturer guidelines, SU-8 2025 photoresist (Kayaku Advanced Materials Inc., NC9981681) was coated at a thickness of 30 μm onto mechanical-grade silicon wafers (University Wafer) using a digital spin coater (INSTRAS Scientific, SCK-300P). The wafer was soft baked on a hotplate (Fisher Scientific, SP88857200) at 65°C for 1 min and 95°C for 4 min. After cooling, a Mylar mask, printed with a double-rail pattern at 20,000 d.p.i. (CAD/Art Services), was laid onto SU-8-coated wafers and exposed for 30s to 365 nm UV light from a mounted LED (ThorLabs M365LP1, ACL7560U, SM3V10) at 10 mW/cm2, as measured by a light meter (Thorlabs PM100D, S120VC). The Mylar mask was designed to pattern photoresist rails that would run the 75 mm edges of standard glass slides, creating a 30 μm gap between the slide and the silicon wafer for molding of a PA gel layer. Wafers were baked at 65°C for 1 min and 95°C for 3 min after exposure, allowed to cool to RT, developed in an SU-8 developer solution (Kayaku Advanced Materials Inc., NC9901158), and washed with isopropanol, followed by acetone. Two milliliters of hydrophobic dichlorodimethylsilane (DCDMS, Sigma-Aldrich, 440272) were deposited on wafers in vacuo for 15 min. Silanized wafers were washed thoroughly with deionized (DI) water and dried under a compressed airstream. Between PA gel fabrications, silicon wafers were washed with 0.1% Triton X-100 (Fisher Scientific, BP151) in DI water, followed by DI water.

Plain 75 × 25 mm glass microscope slides (Corning, 2947-75×25) were rinsed in 0.1% Triton in DI water to remove surface grease and dried under an airstream. Slides were silanized with 3-(Trimethoxysilyl)propyl methacrylate (Sigma-Aldrich, 440159-100ML) to create a monolayer of methacrylate functional groups according to established protocols.72 Silanized slides were placed, functionalized-side-down, on patterned silicon wafers and manually aligned with their 75 mm edges against SU-8 rails. PA gel precursor solutions were made out of the following: 7% T (w/v% total acrylamides), made from a 30% T, 2.7% C (w/w% of the cross-linker N,N-methylenebisacrylamide) stock (Sigma-Aldrich, A3699); 3 mM benzophenone-methacrylamide (N-[3-[(4-benzoylphenyl) formamido]propyl] methacrylamide, BPMAC, PharmAgra) from a 100 mM stock in DMSO, 0.06% SDS (Bio-Rad, 161-0301), 0.06% Triton, 0.06% ammonium persulfate (APS, Sigma-Aldrich, A3678), 0.06% tetramethylethylenediamine (TEMED, Sigma-Aldrich, T9281), 1x DPBS (Ca2+/Mg2+-free, Thermo Fisher Scientific, 14-200-075), and DI water. Partial precursors were made of acrylamides and DPBS and degassed in vacuo in an ultrasonic bath (Thermo Fisher Scientific, 15-337-411) for 1 min. Detergents SDS and Triton were added, followed by BPMAC, and finally, APS and TEMED catalysts. Using a standard 200 μl pipette, ~150 μl of precursor solution were then injected into the gap between the methacrylate-functionalized glass slide and silicon wafer. Precursor spread through the gap for ~30 s, and the slide was slid along the length of the rails to allow any remaining bubbles to escape through its 25 mm ends. Excess precursor was removed using a Kimwipe, ensuring flush contact of the slide with the SU-8 rails. The slide was then left alone for 25 min to allow for additional PA polymerization. Following polymerization, 2 ml of DPBS were pipetted against one 25 mm slide edge; at this side, the slide was carefully levered from wafer using a razor blade, with DPBS wicking beneath the gel to aid release. Fabricated slides were stored in DPBS at 4°C for up to 1 week before single-stranded DNA (ssDNA) was photopatterned.

Photomasks for ssDNA patterning

CAD files for ssDNA spot and square array patterns were designed in LayoutEditor (juspertor GmbH), then finalized and converted to Heidelberg format files in BEAMER software (GenISys). Custom 5”×5” photomasks were fabricated in a cleanroom facility: Spot/square arrays were exposed on blank chrome-on-quartz masks using a DWL 66+ laser lithography system (Heidelberg Instruments) to direct write on 0.5 μm thick coatings of IP3500 positive photoresist (Shipley). Masks were developed in CD-26 solvent (Shipley), washed in DI water, and dried under compressed nitrogen gas. Areas of exposed/patterned chromium were removed with chromium etchant (Sigma). Masks were again washed in DI water and dried under compressed nitrogen gas. Then, remaining resist was stripped by submerging masks in MICROPOSIT Remover 1165 (Shipley) for 3 min at 60°C. Masks were rinsed with acetone and IPA and air-dried.

Patterning of ssDNA on PA gels for pDPAC

Oligos (IDT, 5’-T20-X20-3’) were patterned on photoactivatable PA gels attached to glass slides. Two oligos were used: “F,” where X20 is 5’-AGAAGAAGAACGAAGAAGAA-3’ and “G,” where X20 is 5’-AGCCAGAGAGAGAGAGAGAG-3’. In a glove box (Bel-Art, H50028-2001) filled with an atmosphere of medical-grade nitrogen, PPA gels were dried under a nitrogen stream. For each slide, a 400 μl solution of 0.25 mM (for MDCK patterning) or 0.375 mM (for hiPSC-derived cells) oligo in 1x DPBS was degassed, moved into the glove box, and sparged with a nitrogen stream for ~30s. The oligo solution was pipetted onto the patterned chrome side of a photomask, and the slide was laid – gel-side-down – onto the liquid bead of oligo solution; starting at an ~45-degree angle, the slide was carefully lowered from one edge to the other, allowing the oligo solution to wick across the PPA gel without introducing bubbles. After manually aligning the slide above the mask pattern and letting it rest for ~1 min, excess oligo solution was removed with a Kimwipe, immobilizing the slide to the mask. The slide-mask sandwich was removed from the glove box, flipped, and exposed to 254 nm light in a UV oven (Spectrolinker XL-1000 UV Crosslinker, Spectronics Corporation) for 2 min at ~9 mW/cm2. After 254 nm UV light exposure, 2 mL of 0.1% SDS in DI water were pipetted against one 25 mm slide edge, and the slide was carefully levered from the mask using a razor blade. To remove unadhered oligo, the slide was then soaked for 10 hr in 15 mL of 0.1% SDS in DPBS in a 15-cm petri dish. Fresh solution was used to rinse once more for 20 min, followed by two 20 min washes in DPBS only to remove SDS. In the case of patterning a second oligo, UV exposure to pattern the first oligo was reduced to 110 s, and the slide was dried under an airstream following wash steps. The alignment fiducial marks of the first oligo (G) were stained with a 0.2 μM solution of a custom, fluorescently-tagged complementary oligo (5’-/56-FAM/CTCTCTCTCTCTCTCTGGCT-3’, IDT) in DPBS for 10 min and rinsed in a petri dish of DPBS for 5 min prior to drying and application of the second oligo (F) in nitrogen. Upon removal of the slide-mask sandwich from the glove box, the slide was manually aligned on the second mask pattern to the stained oligo G fiducial marks under a 470 nm blue light using an inverted microscope (Eclipse Ts2-FL, Nikon) (Fig. S5B). Following 2 min UV light exposure to pattern F oligo, the slide was again carefully levered from the mask and free F oligo was removed through the previously described washing steps. The slide was stored in fresh DPBS at 4°C and dried under an airstream prior to the attachment of polydimethylsiloxane (PDMS) microwells.

PDMS microwell fabrication

PDMS sheets patterned with through-holes were molded using 3D-printed pillar arrays. Conical frustum pillar arrays were designed in SOLIDWORKS 3D CAD software such that their positions coincided with the layout of the 8 chambers of cell culture slides (MatTek, CCS-8) as well as ssDNA patterns. The arrays were then printed in grey resin (Formlabs, RS-F2-GPGR-04) by a 3D printer (Formlabs Form 3), at a printing resolution of 25 μm. Pillar arrays were post-processed by rinsing in 100% isopropanol (Form Wash instrument, Formlabs), removing from supports, and drying for at least 1 hr. To reduce bowing of the mold, curing processes of UV exposure and baking were done separately. The mold was exposed to UV in a Form Cure instrument (Formlabs) without heat. It was then placed under a glass slide and 500-g weight (Troemner, 61055S) and baked for 24 hr at 60°C. To remove any residual uncured resin in the mold, which could inhibit PDMS curing, it was soaked in isopropanol for 15+ hr and dried.

PDMS sheets were then molded against 3D printed pillar arrays. A 10:1 base to catalyst solution of PDMS silicone rubber (Sylgard 184, Ellsworth Adhesives, 2065622) prepolymer was thoroughly mixed and degassed in a vacuum chamber. Approximately 3 ml of PDMS prepolymer were poured onto the pillar array. A metal spatula was used to spread and level the prepolymer. The tops of the pillars were blown with a gentle airstream.73 PDMS was baked at 40°C (Heratherm IMH100 Advanced Microbiological Incubator, Thermo Fisher Scientific, 51028067) for 48 hr. Following curing, the tops of pillar arrays were firmly rubbed to remove any residual PDMS; a microporous cosmetic sponge was soaked in isopropanol and wrung out, then used to wipe the tops of the pillars. PDMS sheets were then demolded and washed in 100% isopropanol for 24 hr and air-dried. Before reuse, pillar arrays were rinsed with 100% isopropanol.

PDMS microwell passivation

Similar to published methods,7477 PA was grafted onto PDMS through-hole sheets to passivate against nonspecific cell and protein adhesion during culture. Dry PDMS sheets were placed on a glass microscope slide. Each sheet was then plasma-treated with a hand-held high frequency generator (Electro-Technic Products, Inc., Model BD 10A) in a raster motion for 30 seconds on each side and submerged for 15 min in a 10% v/v solution of 3-(Trimethoxysilyl)propyl methacrylate in acetone. Sheets were then soaked in a 5% w/v solution of benzophenone (Sigma-Aldrich, B9300-25G-A) in acetone for 15 min. In a nitrogen atmosphere, PDMS sheets were flipped on glass slides to remove excess solution and thoroughly dried under nitrogen. They were placed on a slide, top-side (larger through-hole diameter) up. Approximately 1.5 mL of a degassed and nitrogen-sparged solution of 15% w/v acrylamide monomer (Fisher Scientific, BP170-500) in DI water was pipetted onto PDMS sheets. A quartz slide (Thermo Fisher Scientific, AA42297KG) was laid on the PDMS sheets. The quartz-PDMS-glass sandwich was exposed to 254 nm light in a UV oven for 10 min. PDMS sheets were then washed alternately in 70% ethanol, DI water, and 70% ethanol again for 30 min each, and air-dried.

PDMS microwell adhesion to PA gels

The DNA-patterned PA gel was dried under an airstream. The four corners and center of each chamber pattern were stained with a solution of 20x SYBR Gold (Invitrogen, S11494) in DI water for 10 min. To remove non-adhered SYBR, the slide was soaked in a petri dish of DPBS for 10 min and air-dried.

For alignment and attachment of PDMS sheets to the PA base gel, the side of each PDMS sheet, which was not cast directly against the 3D-printed mold (i.e., smaller through-hole diameter side), was plasma-treated for 1.5 min in a raster pattern with a hand-held high frequency generator. The PDMS sheet was immediately submerged in DI water. The PDMS sheet was transferred, plasma-treated side down, onto the PA gel in the approximate region of a chamber’s array of ssDNA patterns. SYBR-stained DNA patterns were illuminated using collimated, 470 nm blue LED light (Thorlabs, COP1-A and M470L4) mounted on a ring stand and visualized through a stereo microscope (Nikon, SMZ800N). Before the water dried, a stainless steel probe (Fine Science Tools, 10140-04) was used to manually align each PDMS through-hole sheet, so that DNA patterns were centered in each microwell. The PDMS sheets immobilized upon complete evaporation of DI water. Once each PDMS sheet had been aligned and adhered, a small piece of aluminum foil was laid on the PPA/PDMS microwell slide, followed by a large glass slide (Corning, 2947-75×50) and a 500-g stainless steel weight. The slide was then baked at 70°C for 16–18 hr to anneal the PDMS to the PA gel.

Cell patterning in microwells

MDCKs and hiPSC-derived NPs and UB tip cells were patterned on ssDNA features within fabricated PDMS/PPA composite microwells. Prior to cell seeding, each microwell slide was soaked in 3% bovine serum albumin in DPBS for 1 hr, rinsed with two changes of DPBS in a petri dish, and stored in fresh DPBS at 4°C until it was needed for cell seeding. Directly prior to seeding, the gel was soaked in 70% ethanol for 30 min and rinsed with two changes of sterile DPBS.

In some experiments, cells were labeled with CellTracker dyes prior to lifting for cell patterning. Lyophilized CellTracker Red (Thermo Fisher Scientific, C34552), Deep Red (Thermo Fisher Scientific, C34565), and Green CMFDA (Thermo Fisher Scientific, C7025), were each resuspended in DMSO to the manufacturer’s recommended concentrations. Each was then diluted to 1 μM in serum-free MEM. Adherent cells were incubated in CellTracker medium for 30 min at 37°C. CellTracker medium was then removed and the cells were washed with DPBS.

For MDCK patterning, cells grown to ~80% confluency in T-175 polystyrene culture flasks were washed with DPBS and incubated at 37°C in 0.25% Trypsin-EDTA for ~10 min to lift them. MDCKs were resuspended in culture media and centrifuged at 200 g for 3 min at 4°C. They were then washed twice by resuspending in 10 mL of DPBS and re-pelleted by centrifugation. MDCKs were resuspended in 100 μL of DPBS in 1.5 ml Eppendorf tubes (1 tube per T-175) with 1 mM EDTA (Thermo Fisher Scientific, 15575-038) and labeled with lipid-DNAs (custom syntheses, OligoFactory, Holliston, MA): “universal anchor” (5’-TGGAATTCTCGGGTGCCAAGGGTAACGATCCAGCTGTCACT-C24 lignoceric acid-3’), a lipid-conjugated ssDNA, was added to each Eppendorf tube from a 100 μM stock in DI water to a final concentration of 2.5 μM. Then, lipid-conjugated ssDNA “universal co-anchor” (5’-C16 Palmitic acid-AGTGACAGCTGGATCGTTAC-3’) was added to a final concentration of 2.5 μM, followed by 2.5 μM final concentration of “adhesion strand” DNA (5’-CCTTGGCACCCGAGAATTCCA-T19-Y20-3’, where Y20 is the reverse complement of the X20 sequence patterned on the pDPAC slide).40,43,78 Each oligo was added in succession to the 100 μl reaction; an 8 min incubation step under gentle agitation on a vortex set at very low speed (~5 Hz) followed each addition. After adding the series of 3 oligos, cells were washed 3 times in 1 mL of DPBS with 1 mM EDTA by pelleting through centrifugation and aspirating off DPBS. At the end of labeling and washing, 600 μl of DPBS with 1 mM EDTA were added to each Eppendorf tube, and cells labeled with the same ssDNAs were combined and placed on ice. Excess DPBS was poured off each ssDNA-patterned slide. Using a 200 μl pipette, cell suspension was added dropwise over the microwells, such that it fully covered all DNA patterns. Slides rested in a petri dish on ice for 5 min as cells settled in microwells. Then, each slide was dipped repeatedly into a cold bath of DPBS with 1 mM EDTA to remove unpatterned cells. Cell patterns were intermittently checked on an inverted microscope between washes until unpatterned cells had been fully removed from the microwells. For dual MDCK patterns, the second oligo-labeled cells were then added dropwise to the slide and settled for 5 min, and the wash steps to remove nonspecific cells were repeated.

For hiPSC cell-derived pDPAC, some changes were made to the patterning protocol. First, cells were maintained at RT in TeSR E6 medium with 100 μM Y-27632 throughout the oligo functionalization steps. 2.5 × 107 NPs were functionalized with 5 μM each of universal anchor, co-anchor, and adhesion strand F’. Due to the larger surface area of each UB tip cell, 2 × 107 UB tip cells were functionalized with 6 μM each of universal anchor, co-anchor, and adhesion strand G’. Following, the 3 cell pellet washes to remove excess oligo as well as cell patterning and post patterning microwell washes were carried out in RT DPBS without EDTA. Each oligo reaction of cells was resuspended in 500 ul of DPBS before patterning. For dual NP/UB pDPAC, UB tip cells remained in the last oligo addition and were only washed 3 times and resuspended once NPs had been patterned and the microwells thoroughly washed of unhybridized cells. UB tip cells were then patterned second, followed by microwell washing.

For sufficient cell patterning, approximately 1.25 × 107 cells are needed to create a confluent lawn of cells over the ssDNA patterning interface of our culture device. Although >95% of cells were washed from the slide in the assay designs in this work, these unpatterned cells can be recovered and used for parallel experiments or expanded/cryopreserved, depending on the cell type.

Cell viability assay

In a validation step, UB tip cells patterned alone on G ssDNA spots with diameters ø of 500 μm underwent a viability assay using a LIVE/DEAD® Cell Imaging Kit (488/570) (Thermo Fisher Scientific, R37601). Because the dead cell indicator BOBO-3 Iodide stains exposed DNA, we interpreted fully red cells as dead and spotty extracellular red fluorescence as staining of the ssDNA sequences used for pDPAC.

Device assembly and culture

After pDPAC, slides were loaded into bases of 8-well cell culture chamber slides (MatTek, CCS-8). Gaskets were removed from the manufacturer’s provided glass slides and inserted into the grooves of the polystyrene chambers. The chambers were then aligned over the microwell slides and the chamber bases were clamped in place.

For NP-only organoids, patterned cultures were incubated in a pulse of TeSR-E6 with 1x pen/strep, 7 μM CHIR99021, and 10 μM Y-27632 for 1 hr and exchanged to TeSR-E6 with 1x pen/strep, 10 μM Y-27632, 1% GFR-Matrigel, 200 ng ml−1 FGF9, and 1 μg ml−1 heparin for ~ 3 hr until cells spread on ssDNA patterns and formed visible cell contacts. 15 μl of TURBO DNase (Thermo Fisher Scientific, AM2238) were added to each chamber to cleave ssDNA and initiate aggregate formation. The following day, medium was swapped to TeSR-E6 with 1x pen/strep, 200 ng ml−1 FGF9, and 1 μg ml−1 heparin. Chamber slides were placed on an orbital shaker at 60 rpm for the rest of the culture period (14 days). Two days after pDPAC, medium was swapped to TeSR-E6 with 1x pen/strep and exchanged every 2 days for 13 days.

For NP/UB tip cell mosaic organoids, patterned cells were incubated in TeSR-E6 with 1x pen/strep, 10 μM Y-27632, 1% GFR-Matrigel, 100 ng ml−1 FGF9, 0.5 μg ml−1 heparin, and 2% FBS. After ~ 3 hr, cells had formed visible cell junctions, at which time 15 μl of TURBO DNase were added to each chamber to initiate transition to 3D culture. Twenty-four hr later, cultures received a pulse of TeSR-E6 with 1x pen/strep, 7 μM CHIR99021, and 10 μM Y-27632 for 1 hr at 37°C. Medium was then swapped to TeSR-E6 with 1x pen/strep, 100 ng ml−1 FGF9, and 0.5 μg ml−1 heparin for 24 hr. Organoids were then maintained in plain TeSR-E6 with 1x pen/strep on an orbital shaker at 60 rpm for the rest of culture, with medium exchanged every 2 days for 13 days.

Immunofluorescence

Immunofluorescence staining and imaging was performed as previously described,79 using protocols adapted from Combes et al. and O’Brien et al.80,81 Briefly, 15 days post pDPAC, organoids were fixed in 4% paraformaldehyde in DPBS for 45 min, washed three times for 5 min per wash in DPBS, and blocked for 2 hr at room temperature in PBSTX (DPBS + 0.1% Triton X- 100) containing 5% donkey serum (Sigma-Aldrich, D9663). Following, fixed and blocked organoids were incubated in primary and then secondary antibodies in blocking buffer for at least 24 hr each at 4°C, alternating with 3 washes in PBSTX, with a 30 min wait after the first two PBSTX additions, and a 12 to 24 hr wait after the last PBSTX wash.

Primary antibodies and dilutions included biotin anti-human LTL (1:300, Vector Laboratories, B-1325, RRID:AB_2336558), goat anti-human GATA3 (1:20, R&D Systems, AF2605, RRID:AB_2108571), mouse anti-human E-cadherin (1:300, Biosciences, 610181, RRID:AB_397580), rabbit anti-human E-cadherin (1:300, Cell Signaling Technology, 3195, RRID:AB_2291471), rabbit anti-human SLC12A1 (1:300, Abcam, ab171747, RRID:AB_2802126), sheep anti-human Nephrin (1:40, R&D Systems, AF4269-SP, RRID:AB_2154851), rabbit anti-human RET (1:200, Cell Signaling Technology, 3223, RRID:AB_2238465), mouse anti-calbindin D-28K (1:500, clone CB-955, Sigma-Aldrich, C9849, RRID: AB_476894), mouse anti-pan-cytokeratin (1:200, clone 11, Sigma-Aldrich, C2931, RRID:AB_258824), and mouse anti-MEIS1/2/3 antibody (1:200, clone 9.2.7, Active Motif, 39796, RRID:AB_2750570). Secondary antibodies (raised in donkey) were used at 1:200 dilution and included anti-rabbit AlexaFluor 488 (Thermo Fisher Scientific, A21206, RRID: AB_2535792), anti-mouse AlexaFluor 555 (Thermo Fisher Scientific, A31572, RRID: AB_162543), anti-rat AlexaFluor Plus 555 (Thermo Fisher, A48270, RRID: AB_2896336), anti-goat AlexaFluor Plus 647 (Thermo Fisher Scientific, A32849, RRID: AB_2762840), and anti-sheep AlexaFluor 647 (Thermo Fisher Scientific, A-21448, RRID: AB_2535865). Finally, DyLight 405-Streptavidin (Jackson ImmunoResearch, 016-470-084) was used to stain biotinylated LTL.

Imaging

Imaging was performed using a Nikon Ti2-E microscope equipped with a CSU-W1 spinning disk (Yokogawa), a white light LED, laser illumination (100 mW 405, 488, and 561 nm lasers and a 75 mW 640 nm laser), a Prime 95B back-illuminated sCMOS camera (Photometrics), motorized stage, 4x/0.2 NA, 10x/0.25 NA and 20x/0.5 NA lenses (Nikon), and a stagetop environmental enclosure (OkoLabs).

Image analysis

For longitudinal analyses, we selected organoids derived from progenitor patterns that displayed high initial ssDNA patterning fidelity and coverage and low nonspecific background cell adhesion. Immunofluorescence marker quantification was performed from 3–7 z-slices per NP-only organoid and 1–8 z-slices per mosaic NP/UB tip cell organoid recovered from confocal fluorescence micrograph stacks, consisting of the approximate mid-plane, and respective planes at −25 and +25 μm in z, with additional 25 μm increments in z to span the organoid volume. For each slice, regions attributed to each marker category–podocytes (NPHS1, in NP-only organoids), proximal tubule (LTL), and distal tubule (ECAD+ LTL− GATA3−)–were manually segmented in Fiji. In mosaic NP/UB tip cell organoids, UE/connecting segment (ECAD+ GATA3+), Calbindin1+ (CALB1+) structures, and podocytes made up a small overall proportion of the organoid compared to the distal and proximal tubule and tended to form more spherical compartments that spanned fewer slices in z. Thus, for these tissues, the projected area of each discrete compartment was segmented and measured. We defined the remaining area of the organoid as a stromal-like population, which was supported by positive MEIS1/2/3 immunostaining. We then calculated the area fraction of each tissue as the total area of each tissue divided by the total area of all measured, non-stromal-like tissues.

In the case of spheroids made from H2B-VFP and H2B iRFP MDCKs, cultures were segmented on day 3 post cell patterning. Micrograph stacks spanning the full MDCK spheroid volumes and taken in 10 μm step increments in z were montaged in Fiji. The fluorescent channels were then separately thresholded and the total areas of the two MDCK populations were calculated.

Organoid growth was tracked using brightfield confocal images taken at 2–3-day intervals throughout organoid culture in microwells. All organoids selected for growth analysis had lifted from PA substrates and rounded by their culture endpoints. At each analyzed time point, the maximum projected area of each organoid was manually segmented and measured. In cases of fragmented organoids or organoids that failed to condense to a single organoid per microwell, the projected areas of the total tissue per microwell were summed. For substrate-adhered organoids, areas of apparent epithelialized structures that stood out from surrounding flattened cells were manually segmented and measured.

3D renderings of CellTracker-stained mosaic organoids were generated by manual segmentation of z slices from confocal fluorescence stacks to create binary stacks, exporting as .stl surface objects from Fiji using the 3D Viewer plugin,71 followed by importing and rendering in Rhino 7 3D modeling software (Robert McNeel & Associates).

SI movies were created from timelapse and z-stack confocal micrographs using NIS-Elements imaging software (Nikon instruments Inc.) and edited/annotated in Fiji.

Adhesion and alignment of PDMS through-hole overlays on PA base gels patterned with ssDNA

When binding PDMS to a substrate, both the PDMS and substrate are typically oxygen plasma-treated, creating reactive groups on both surfaces that create covalent bonds,75 which may disrupt ssDNA integrity, necessitating an alternative method. Instead, we plasma treated only the polyacrylamide brush layer grafted on the PDMS surface before adhering it to the ssDNA-patterned PA substrate. Plasma treatment creates reactive amide groups on the brush layer that hydrogen bond with the PA substrate.82 For alignment, we used DI water for two reasons: 1) it allowed us to float through-hole sheets above the ssDNA patterns (visualized using SYBR Gold staining) and manually align their positions before pressing them into tight contact with the substrate, and 2) we hypothesize that the swelling of the polyacrylamide substrate and brush layer increased interfacial entanglement of the polymer chains, improving adhesion.83 Once the water had evaporated, the through-hole sheets were immobilized on the polyacrylamide substrate. We then used a thermal bonding process at 70°C to further improve adhesion of the PDMS overlay to the ssDNA-patterned substrate.75 Thermal annealing did not damage ssDNA patterns, as dry DNA remains stable at temperatures below 130°C (ref.84).

Reducing nonspecific cell adhesion in microwells

One design challenge was to ensure efficient cell capture on ssDNA within microwells, while discouraging non-specific capture of cells. We found advantages here by using a conical rather than a cylindrical well profile, aiding in wash-out of unpatterned cells. Secondly, we required extremely low cell attachment to the microwell walls in order to prevent initial nonspecific cell adhesion as well as organoid spreading and migration out of microwells over relatively long differentiation times. Despite its biofouling property, PDMS was an attractive material for microwell wall fabrication because it is chemically inert, mechanically stable, biocompatible, inexpensive, and easily moldable.85 We found that among other passive blocking schemes, grafting a non-adhesive linear polyacrylamide brush layer onto the PDMS surface gave the most favorable nonadhesive properties7477 (Fig. S4A).

Exogenous canonical WNT activation in mosaic NP/UB tip cell organoids and conditions that improve cell viability

We found that applying a 7 μM CHIR99021 pulse to NPs prior to lifting cells for pDPAC had detrimental effects on NP patterning efficiency within microwells, as it promoted aggregation of cells in suspension and nonspecific cell adhesion to microwell walls. Supplying the CHIR pulse immediately after pDPAC greatly reduced cell viability, particularly for the fully epithelialized UB tip cells, as CHIR is known to be cytotoxic.86 We therefore patterned both NPs and UB tip cells and supplied the 1 hr CHIR pulse 24 hr later on a background of FGF9 treatment, during which time the mosaic organoids were condensing. We found that this CHIR pulse was necessary for NP-derived nephron structures to form by day 26. This contrasts with recent results by Howden et al.,15 where the presence of UB tip cells alone was sufficient to induce nephrogenesis from NPs in a bulk co-culture setting without the addition of small molecules or growth factors. This may have resulted from a smaller ‘community effect’ due to the significantly lower cell mass in our mosaic micro-organoids compared to bulk co-cultures.

Because epithelialized cells are dependent on cell-cell adhesion and cell-substrate adhesion for survival/prevention of death by anoikis,87 we found that inclusion of 1% Matrigel after pDPAC and selective Rho-kinase inhibitor Y-27632, both during cell patterning and post pDPAC, was critically important to kidney progenitor viability. Similar to previous reports, Y-27632 reduced apoptosis, likely by abrogating membrane blebbing.8890

QUANTIFICATION AND STATISTICAL ANALYSIS

Unpaired t-tests and one-way analysis of variance (ANOVA) with correction for multiple comparisons using Tukey’s honestly significant difference test were performed in Prism 10 software (GraphPad). Trend analyses were conducted through curve fitting using linear and nonlinear least squares regression methods, also performed in Prism 10 software; statistical significance (p values) from the null hypothesis of a line with zero slope were calculated from F tests. Statistical details for each experiment, e.g., the value of n, what n represents, and precision measures, can be found in the results section and/or figure legends. We denote statistical significance with *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001, ****p ≤ 0.0001.

The Poisson distribution was modeled in Microsoft Excel using the Random Number Generation Analysis Tool, where Poisson mean λ = mean of the experiment distribution.

Supplementary Material

1

Movie S1. Conical microwell integrated with patterned ssDNA. 3D rendering of confocal z-stack, showing rhodamine-methacrylamide co-monomer (magenta) incorporated into basal PPA gel and non-adhesive PA coating on conical PDMS walls (not visible). The patterned F ssDNA spot on the PPA substrate is labeled with SYBR Gold (green).

Download video file (17.3MB, mp4)
2

Movie S2. Condensation of mosaic MDCK spheroids. Confocal time-lapse of CellTracker-labeled MDCK cell populations condensing into a 3D spheroid after patterning in 2D by pDPAC.

Download video file (1.5MB, mp4)
3

Movie S3. Condensation of hiPSC-derived nephron progenitor cells. Brightfield confocal time-lapse showing NPs patterned in 2D by pDPAC rapidly condensing into a 3D spheroid after cleaving dsDNA adhesions to the substrate using DNase (right) vs control without addition of DNase (left).

Download video file (2.3MB, mp4)
4

Key resources table

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies
Biotin anti-human LTL Vector Laboratories Cat#B-1325; RRID: AB_2336558
Goat anti-human GATA3 R&D Systems Cat#AF2605; RRID: AB_2108571
Mouse anti-human E-cadherin Biosciences Cat#610181; RRID: AB_397580
Rabbit anti-human E-cadherin Cell Signaling Technology Cat#3195; RRID: AB_2291471
Rabbit anti-human SLC12A1 Abcam Cat#ab171747; RRID: AB_2802126
Sheep anti-human Nephrin R&D Systems Cat#AF4269-SP; RRID: AB_2154851
Rabbit anti-human RET Cell Signaling Technology Cat#3223; RRID: AB_2238465
Mouse anti-calbindin D-28K (clone CB-955) Sigma-Aldrich Cat#C9848; RRID: AB_476894
Mouse anti-pan-cytokeratin (clone 11) Sigma-Aldrich Cat#C2931; RRID: AB_258824
Mouse anti-MEIS1/2/3 antibody (clone 9.2.7) Active Motif Cat#39796; RRID: AB_2750570
Donkey anti-rabbit AlexaFluor 488 Thermo Fisher Scientific Cat#A21206; RRID: AB_2535792
Donkey anti-mouse AlexaFluor 555 Thermo Fisher Scientific Cat#A31572; RRID: AB_162543
Donkey anti-rat AlexaFluor Plus 555 Thermo Fisher Scientific Cat#A48270; RRID: AB_2896336
Donkey anti-goat AlexaFluor Plus 647 Thermo Fisher Scientific Cat#A32849; RRID: AB_2762840
Donkey anti-sheep AlexaFluor 647 Thermo Fisher Scientific Cat#A-21448; RRID: AB_2535865
Bacterial and virus strains
Biological samples
Chemicals, peptides, and recombinant proteins
0.25% Trypsin Thermo Fisher Scientific Cat#25300056
Fetal bovine serum Corning Cat#35-010-CV
Matrigel® hESC-Qualified Matrix Corning Cat#354277
Matrigel® Growth Factor Reduced (GFR) Basement Membrane Matrix Corning Cat#354230
mTeSR Plus medium STEMCELL Technologies Cat#100–0276
Gentle Cell Dissociation Reagent STEMCELL Technologies Cat#100–0485
StemPro Accutase Cell Dissociation Reagent Thermo Fisher Scientific Cat#A1110501
rhLaminin-521 Thermo Fisher Scientific Cat#A29249
CHIR99021 R&D Systems Cat#4423
TeSR-E6 medium STEMCELL Technologies Cat#05946
Recombinant human FGF-9 protein R&D Systems Cat#273-F9-025
Heparin sodium salt Sigma-Aldrich Cat#H4784
Recombinant human FGF basic/FGF2 (146 aa) GMP protein R&D Systems Cat#233-GMP-01M
CTS TrypLE Select Enzyme Thermo Fisher Scientific Cat#A1285901
TTNPB (retinoic acid analogue) Tocris Bioscience Cat#0761
Y-27632 dihydrochloride Tocris Bioscience Cat#1254
PluriSTEM Dispase-II Sigma-Aldrich Cat#SCM133
KnockOut Serum Replacement Thermo Fisher Scientific Cat#10828010
SU-8 2025 photoresist Kayaku Advanced Materials Inc. Cat#NC9981681
SU-8 developer solution Kayaku Advanced Materials Inc. Cat#NC9901158
Dichlorodimethylsilane Sigma-Aldrich Cat#440272
Triton X-100 Fisher Scientific Cat#BP151
3-(Trimethoxysilyl)propyl methacrylate Sigma-Aldrich Cat#440159-100ML
Acrylamide/Bis-acrylamide, 30% solution Sigma-Aldrich Cat#A3699
N-[3-[(4-benzoylphenyl) formamido]propyl] methacrylamide PharmAgra custom synthesis; Hughes & Herr69 CAS:165391-55-9
Sodium dodecyl sulfate (SDS) Bio-Rad Cat#161-0301
Ammonium persulfate (APS) Sigma-Aldrich Cat#A3678
Tetramethylethylenedi amine (TEMED) Sigma-Aldrich Cat#T9281
DPBS (10X), no calcium, no magnesium Thermo Fisher Scientific
CD-26 developer Singh Center for Nanotechnology; Shipley N/A
Chromium etchant Sigma-Aldrich Cat#651826
MICROPOSIT Remover 1165 Singh Center for Nanotechnology; Shipley N/A
Grey resin Formlabs Cat#RS-F2-GPGR-04
Dow SYLGARD 184 Silicone Ellsworth Adhesives Cat#2065622
Benzophenone Sigma-Aldrich Cat#B9300-25G-A
Acrylamide Fisher Scientific Cat#BP170-500
UltraPure 0.5M EDTA Thermo Fisher Scientific Cat#15575-038
TURBO DNase (2 U/μL) Thermo Fisher Scientific Cat#AM2238
Donkey serum Sigma-Aldrich Cat#D9663
DyLight 405 Streptavidin Jackson ImmunoResearch Cat#016-470-084
Critical commercial assays
SYBR Gold nucleic acid gel stain Thermo Fisher Scientific Cat#S11494
CellTracker Red dye Thermo Fisher Scientific Cat#C34552
CellTracker Deep Red dye Thermo Fisher Scientific Cat#C34565
CellTracker Green CMFDA dye Thermo Fisher Scientific Cat#C7025
LIVE/DEAD® Cell Imaging Kit (488/570) Thermo Fisher Scientific Cat#R37601
Deposited data
Experimental models: Cell lines
Canine: MDCK-II cell line gift from Arjun Raj; MilliporeSigma Cat#00062107–1VL
Canine: MDCK-II H2B-Venus Viola & Porter et al.43 N/A
Canine: MDCK-II H2B-iRFP670 Prahl et al.44 N/A
SIX2EGFP reporter hiPSCs Murdoch Children’s Research Institute/Washington University Kidney Translational Research Center and Division of Nephrology (parental line CRL-2429 from ATCC); Vanslambrouck et al.45 N/A
PENN123i-SV20 hiPSCs University of Pennsylvania iPSC Core Facility; Pashos et al.46 RRID: CVCL_EL23
Experimental models: Organisms/strains
Oligonucleotides
Photopatterning oligo: polyT20F: 5′-TTTTTTTTTTTTTTTTTTTTAGAAGAAGAACGAAGAAGAA-3′ IDT; Prahl et al.44 N/A
Photopatterning oligo: polyT20G: 5′-TTTTTTTTTTTTTTTTTTTTAGCCAGAGAGAGAGAGAGAG-3′ IDT; Prahl et al.44 N/A
Lipid ssDNA: Universal Anchor: 5′-TGGAATTCTCGGGTGCCAAGGGTAACGATCCAGCTGTCACT-lignoceric-amide-3′ Oligo Factory custom synthesis; Viola & Porter et al.43 N/A
Lipid ssDNA: Universal Co-Anchor: 5′-palmitic-amide-AGTGACAGCTGGATCGTTAC-3′ Oligo Factory custom synthesis; Viola & Porter et al.43 N/A
Cell patterning oligo: F′ handle: 5′-CCTTGGCACCCGAG AATTCCATTTTTTTTTTTTTTTTTTTTTTCTTCTTCGTTCTTCTTCT-3′ IDT; Prahl et al.44 N/A
Cell patterning oligo: G′ handle: 5′-CCTTGGCACCCGAG AATTCCATTTTTTTTTTTTTTTTTTTCTCTCTCTCTCTCTCTGGCT-3′ IDT; Prahl et al.44 N/A
Fluorescent probe oligo: FAM_F’: 5′-5(6)-carboxyfluorescein-TT TCTTCTTCGTTCTTCTTCT-3′ IDT; Prahl et al.44 N/A
Fluorescent probe oligo: FAM_G’: 5′-5(6)-carboxyfluorescein-CT CTCTCTCTCTCTCTGGCT-3′ IDT; Prahl et al.44 N/A
Fluorescent probe oligo: Cy5_F’: 5′-Cy5-TTTCTTCTTCGTTCTTCTTCT-3′ IDT; Prahl et al.44 N/A
Recombinant DNA
Software and algorithms
Fiji/ImageJ Schindelin et al.70 https://imagej.net/ij/
ImageJ 3D Viewer plugin Schmid et al.71 https://imagej.net/ij/plugins/3d-viewer/
LayoutEditor juspertor GmBH https://layouteditor.com/
SOLIDWORKS 3D CAD SolidWorks Corporation https://www.solidworks.com/
BEAMER GenISys https://www.genisys-gmbh.com/beamer.html
Prism 10 GraphPad https://www.graphpad.com/
Rhino 7 Robert McNeel & Associates https://www.rhino3d.com/
NIS-Elements imaging software Nikon Instruments Incorporated https://www.microscope.healthcare.nikon.com/products/software/nis-elements
Excel Microsoft https://www.microsoft.com/en-us/microsoft-365/excel
Other
4” mechanical grade silicon wafer Singh Center for Nanotechnology; University Wafer, Inc. N/A
Digital spin coater with vacuum chuck INSTRAS Scientific SCK-300P
Fisherbrand Isotemp Hot Plate Stirrer Fisher Scientific Cat#SP88857200
Mylar mask CAD/Art Services custom order N/A
365 nm mounted LED ThorLabs M365LP1
Aspheric condenser lens ThorLabs ACL7560U
Adjustable lens tube ThorLabs SM3V10
Ultrasonic cleaning bath Thermo Fisher Scientific Cat#15-337-411
DLW-66+ direct laser writer Singh Center for Nanotechnology; Heidelberg Instruments N/A
5”×5”×0.90″ chrome-on-quartz photomask, IP3500 photoresist Singh Center for Nanotechnology N/A
Portable glovebox Bel-Art H50028-2001
UV crosslinker oven Spectro-UV XL-1000
8-well cell culture slides MatTek Cat#CCS-8
Form 3 stereolithography (SLA) resin 3D printer Formlabs N/A
Form Wash instrument Formlabs N/A
Form Cure instrument Formlabs N/A
500-g stainless steel weight Troemner 61055S
High frequency generator Electro-Technic Products, Inc. BD-10A
Quartz slide Thermo Fisher Scientific Cat#BP170-500
470 nm mounted LED ThorLabs M470L4
Collimation adapter ThorLabs COP1-A
Stainless steel probe Fine Science Tools 10140-04

Highlights.

  • Orthogonal DNA sequences precisely pattern multiple cell types within microwells

  • Patterned kidney progenitors transition to 3D for long-term organoid differentiation

  • Initial kidney progenitor number/ratio modulates organoid morphology and composition

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Declaration of interests

The authors declare no competing interests.

Acknowledgements

We thank Louis Prahl for advice on DNA patterning conditions, Ananya Gupta and Wenli Yang for advice on hiPSC maintenance, Sarah Howden and Melissa Little for advice on hiPSC differentiation protocols, and Magdalena Niewiadomska-Bugaj for advice on statistical analyses. This research was conducted in part at the Singh Center for Nanotechnology at the University of Pennsylvania, which is supported by the NSF National Nanotechnology Coordinated Infrastructure Program under grant NNCI-2025608. This work was supported by an NSF GRFP award (CMP), NIH NIGMS MIRA R35GM133380 (AJH), and an NSF CAREER award 2047271 (AJH) and was partially supported through the University of Pennsylvania Materials Research Science and Engineering Center (NSF MRSEC, DMR-2309043).

References

  • 1.McMahon AP (2016). Development of the Mammalian Kidney. Curr. Top. Dev. Biol 117, 31–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Czerniecki SM, Cruz NM, Harder JL, Menon R, Annis J, Otto EA, Gulieva RE, Islas LV, Kim YK, Tran LM, et al. (2018). High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping. Cell Stem Cell 22, 929–940.e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Taguchi A, and Nishinakamura R (2017). Higher-Order Kidney Organogenesis from Pluripotent Stem Cells. Cell Stem Cell 21, 730–746.e6. [DOI] [PubMed] [Google Scholar]
  • 4.Takasato M, Er PX, Chiu HS, Maier B, Baillie GJ, Ferguson C, Parton RG, Wolvetang EJ, Roost MS, Chuva de Sousa Lopes SM, et al. (2015). Kidney organoids from human iPS cells contain multiple lineages and model human nephrogenesis. Nature 526, 564–568. [DOI] [PubMed] [Google Scholar]
  • 5.Przepiorski A, Sander V, Tran T, Hollywood JA, Sorrenson B, Shih J-H, Wolvetang EJ, McMahon AP, Holm TM, and Davidson AJ (2018). A Simple Bioreactor-Based Method to Generate Kidney Organoids from Pluripotent Stem Cells. Stem Cell Reports 11, 470–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Lawlor KT, Vanslambrouck JM, Higgins JW, Chambon A, Bishard K, Arndt D, Er PX, Wilson SB, Howden SE, Tan KS, et al. (2021). Cellular extrusion bioprinting improves kidney organoid reproducibility and conformation. Nat. Mater 20, 260–271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, and Zoccali C (2019). A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. Kidney Int. 96, 1048–1050. [DOI] [PubMed] [Google Scholar]
  • 8.Al-Awqati Q, and Oliver JA (2002). Stem cells in the kidney. Kidney Int. 61, 387–395. [DOI] [PubMed] [Google Scholar]
  • 9.van den Berg CW, Ritsma L, Avramut MC, Wiersma LE, van den Berg BM, Leuning DG, Lievers E, Koning M, Vanslambrouck JM, Koster AJ, et al. (2018). Renal Subcapsular Transplantation of PSC-Derived Kidney Organoids Induces Neo-vasculogenesis and Significant Glomerular and Tubular Maturation In Vivo. Stem Cell Reports 10, 751–765. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Morizane R, Lam AQ, Freedman BS, Kishi S, Valerius MT, and Bonventre JV (2015). Nephron organoids derived from human pluripotent stem cells model kidney development and injury. Nat. Biotechnol 33, 1193–1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Kumar SV, Er PX, Lawlor KT, Motazedian A, Scurr M, Ghobrial I, Combes AN, Zappia L, Oshlack A, Stanley EG, et al. (2019). Kidney micro-organoids in suspension culture as a scalable source of human pluripotent stem cell-derived kidney cells. Development 146. 10.1242/dev.172361. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Garreta E, Prado P, Tarantino C, Oria R, Fanlo L, Martí E, Zalvidea D, Trepat X, Roca-Cusachs P, Gavaldà-Navarro A, et al. (2019). Fine tuning the extracellular environment accelerates the derivation of kidney organoids from human pluripotent stem cells. Nat. Mater 18, 397–405. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Mae S-I, Ryosaka M, Sakamoto S, Matsuse K, Nozaki A, Igami M, Kabai R, Watanabe A, and Osafune K (2020). Expansion of Human iPSC-Derived Ureteric Bud Organoids with Repeated Branching Potential. Cell Rep. 32, 107963. [DOI] [PubMed] [Google Scholar]
  • 14.Mae S-I, Ryosaka M, Toyoda T, Matsuse K, Oshima Y, Tsujimoto H, Okumura S, Shibasaki A, and Osafune K (2018). Generation of branching ureteric bud tissues from human pluripotent stem cells. Biochem. Biophys. Res. Commun 495, 954–961. [DOI] [PubMed] [Google Scholar]
  • 15.Howden SE, Wilson SB, Groenewegen E, Starks L, Forbes TA, Tan KS, Vanslambrouck JM, Holloway EM, Chen Y-H, Jain S, et al. (2021). Plasticity of distal nephron epithelia from human kidney organoids enables the induction of ureteric tip and stalk. Cell Stem Cell 28, 671–684.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Combes AN, Zappia L, Er PX, Oshlack A, and Little MH (2019). Single-cell analysis reveals congruence between kidney organoids and human fetal kidney. Genome Med. 11, 3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zeng Z, Huang B, Parvez RK, Li Y, Chen J, Vonk AC, Thornton ME, Patel T, Rutledge EA, Kim AD, et al. (2021). Generation of patterned kidney organoids that recapitulate the adult kidney collecting duct system from expandable ureteric bud progenitors. Nat. Commun 12, 3641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Tanigawa S, Tanaka E, Miike K, Ohmori T, Inoue D, Cai C-L, Taguchi A, Kobayashi A, and Nishinakamura R (2022). Generation of the organotypic kidney structure by integrating pluripotent stem cell-derived renal stroma. Nat. Commun 13, 611. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Vanslambrouck JM, Wilson SB, Tan KS, Groenewegen E, Rudraraju R, Neil J, Lawlor KT, Mah S, Scurr M, Howden SE, et al. (2022). Enhanced metanephric specification to functional proximal tubule enables toxicity screening and infectious disease modelling in kidney organoids. Nat Commun 13, 1–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Shi M, McCracken KW, Patel AB, Zhang W, Ester L, Valerius MT, and Bonventre JV (2023). Human ureteric bud organoids recapitulate branching morphogenesis and differentiate into functional collecting duct cell types. Nat. Biotechnol 41, 252–261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Little MH, and Combes AN (2019). Kidney organoids: accurate models or fortunate accidents. Genes Dev. 33, 1319–1345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Nishinakamura R (2023). Advances and challenges toward developing kidney organoids for clinical applications. Cell Stem Cell 30, 1017–1027. [DOI] [PubMed] [Google Scholar]
  • 23.Romero-Guevara R, Ioannides A, and Xinaris C (2020). Kidney organoids as disease models: Strengths, weaknesses and perspectives. Front. Physiol 11, 563981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Phipson B, Er PX, Combes AN, Forbes TA, Howden SE, Zappia L, Yen H-J, Lawlor KT, Hale LJ, Sun J, et al. (2019). Evaluation of variability in human kidney organoids. Nat. Methods 16, 79–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Subramanian A, Sidhom E-H, Emani M, Vernon K, Sahakian N, Zhou Y, Kost-Alimova M, Slyper M, Waldman J, Dionne D, et al. (2019). Single cell census of human kidney organoids shows reproducibility and diminished off-target cells after transplantation. Nat. Commun 10, 5462. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wu H, Uchimura K, Donnelly EL, Kirita Y, Morris SA, and Humphreys BD (2018). Comparative Analysis and Refinement of Human PSC-Derived Kidney Organoid Differentiation with Single-Cell Transcriptomics. Cell Stem Cell 23, 869–881.e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wu H, and Humphreys BD (2020). Single Cell Sequencing and Kidney Organoids Generated from Pluripotent Stem Cells. Clin. J. Am. Soc. Nephrol 15, 550–556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Kobayashi A, Valerius MT, Mugford JW, Carroll TJ, Self M, Oliver G, and McMahon AP (2008). Six2 defines and regulates a multipotent self-renewing nephron progenitor population throughout mammalian kidney development. Cell Stem Cell 3, 169–181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Taguchi A, Kaku Y, Ohmori T, Sharmin S, Ogawa M, Sasaki H, and Nishinakamura R (2014). Redefining the in vivo origin of metanephric nephron progenitors enables generation of complex kidney structures from pluripotent stem cells. Cell Stem Cell 14, 53–67. [DOI] [PubMed] [Google Scholar]
  • 30.Lindström NO, Guo J, Kim AD, Tran T, Guo Q, De Sena Brandine G, Ransick A, Parvez RK, Thornton ME, Baskin L, et al. (2018). Conserved and Divergent Features of Mesenchymal Progenitor Cell Types within the Cortical Nephrogenic Niche of the Human and Mouse Kidney. J. Am. Soc. Nephrol 29, 806–824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Sato T, Vries RG, Snippert HJ, van de Wetering M, Barker N, Stange DE, van Es JH, Abo A, Kujala P, Peters PJ, et al. (2009). Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature 459, 262–265. [DOI] [PubMed] [Google Scholar]
  • 32.Homan KA, Gupta N, Kroll KT, Kolesky DB, Skylar-Scott M, Miyoshi T, Mau D, Valerius MT, Ferrante T, Bonventre JV, et al. (2019). Flow-enhanced vascularization and maturation of kidney organoids in vitro. Nat. Methods 16, 255–262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Tran T, Song CJ, Nguyen T, Cheng S-Y, McMahon JA, Yang R, Guo Q, Der B, Lindström NO, Lin DC-H, et al. (2022). A scalable organoid model of human autosomal dominant polycystic kidney disease for disease mechanism and drug discovery. Cell Stem Cell 29, 1083–1101.e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Warmflash A, Sorre B, Etoc F, Siggia ED, and Brivanlou AH (2014). A method to recapitulate early embryonic spatial patterning in human embryonic stem cells. Nat. Methods 11, 847–854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bauwens CL, Peerani R, Niebruegge S, Woodhouse KA, Kumacheva E, Husain M, and Zandstra PW (2008). Control of human embryonic stem cell colony and aggregate size heterogeneity influences differentiation trajectories. Stem Cells 26, 2300–2310. [DOI] [PubMed] [Google Scholar]
  • 36.Lancaster MA, Corsini NS, Wolfinger S, Gustafson EH, Phillips AW, Burkard TR, Otani T, Livesey FJ, and Knoblich JA (2017). Guided self-organization and cortical plate formation in human brain organoids. Nat. Biotechnol 35, 659–666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Thomsen AR, Aldrian C, Bronsert P, Thomann Y, Nanko N, Melin N, Rücker G, Follo M, Grosu AL, Niedermann G, et al. (2017). A deep conical agarose microwell array for adhesion independent three-dimensional cell culture and dynamic volume measurement. Lab Chip 18, 179–189. [DOI] [PubMed] [Google Scholar]
  • 38.Stevens KR, Ungrin MD, Schwartz RE, Ng S, Carvalho B, Christine KS, Chaturvedi RR, Li CY, Zandstra PW, Chen CS, et al. (2013). InVERT molding for scalable control of tissue microarchitecture. Nat. Commun 4, 1847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Selden NS, Todhunter ME, Jee NY, Liu JS, Broaders KE, and Gartner ZJ (2012). Chemically programmed cell adhesion with membrane-anchored oligonucleotides. J. Am. Chem. Soc 134, 765–768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Weber RJ, Liang SI, Selden NS, Desai TA, and Gartner ZJ (2014). Efficient targeting of fatty-acid modified oligonucleotides to live cell membranes through step-wise assembly. Biomacromolecules 15, 4621–4626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Todhunter ME, Jee NY, Hughes AJ, Coyle MC, Cerchiari A, Farlow J, Garbe JC, LaBarge MA, Desai TA, and Gartner ZJ (2015). Programmed synthesis of three-dimensional tissues. Nat. Methods 12, 975–981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Gartner ZJ, and Bertozzi CR (2009). Programmed assembly of 3-dimensional microtissues with defined cellular connectivity. Proc. Natl. Acad. Sci. U. S. A 106, 4606–4610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Viola JM, Porter CM, Gupta A, Alibekova M, Prahl LS, and Hughes AJ (2020). Guiding Cell Network Assembly using Shape-Morphing Hydrogels. Adv. Mater 361, 2002195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Prahl LS, Porter CM, Liu J, Viola JM, and Hughes AJ (2023). Independent control over cell patterning and adhesion on hydrogel substrates for tissue interface mechanobiology. iScience 26, 106657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Vanslambrouck JM, Wilson SB, Tan KS, Soo JY-C, Scurr M, Spijker HS, Starks LT, Neilson A, Cui X, Jain S, et al. (2019). A Toolbox to Characterize Human Induced Pluripotent Stem Cell-Derived Kidney Cell Types and Organoids. J. Am. Soc. Nephrol 30, 1811–1823. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Pashos EE, Park Y, Wang X, Raghavan A, Yang W, Abbey D, Peters DT, Arbelaez J, Hernandez M, Kuperwasser N, et al. (2017). Large, Diverse Population Cohorts of hiPSCs and Derived Hepatocyte-like Cells Reveal Functional Genetic Variation at Blood Lipid-Associated Loci. Cell Stem Cell 20, 558–570.e10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Short KM, Combes AN, Lefevre J, Ju AL, Georgas KM, Lamberton T, Cairncross O, Rumballe BA, McMahon AP, Hamilton NA, et al. (2014). Global quantification of tissue dynamics in the developing mouse kidney. Dev. Cell 29, 188–202. [DOI] [PubMed] [Google Scholar]
  • 48.Cebrian C, Asai N, D’Agati V, and Costantini F (2014). The number of fetal nephron progenitor cells limits ureteric branching and adult nephron endowment. Cell Rep. 7, 127–137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Costantini F, and Kopan R (2010). Patterning a complex organ: branching morphogenesis and nephron segmentation in kidney development. Dev. Cell 18, 698–712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Little MH, and McMahon AP (2012). Mammalian kidney development: principles, progress, and projections. Cold Spring Harb. Perspect. Biol 4. 10.1101/cshperspect.a008300. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Perl AJ, Schuh MP, and Kopan R (2022). Regulation of nephron progenitor cell lifespan and nephron endowment. Nat. Rev. Nephrol 18, 683–695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Lefevre JG, Chiu HS, Combes AN, Vanslambrouck JM, Ju A, Hamilton NA, and Little MH (2017). Self-organisation after embryonic kidney dissociation is driven via selective adhesion of ureteric epithelial cells. Development 144, 1087–1096. [DOI] [PubMed] [Google Scholar]
  • 53.Unbekandt M, and Davies JA (2010). Dissociation of embryonic kidneys followed by reaggregation allows the formation of renal tissues. Kidney Int. 77, 407–416. [DOI] [PubMed] [Google Scholar]
  • 54.Combes AN, Davies JA, and Little MH (2015). Cell-cell interactions driving kidney morphogenesis. Curr. Top. Dev. Biol 112, 467–508. [DOI] [PubMed] [Google Scholar]
  • 55.Steinberg MS (1963). Reconstruction of Tissues by Dissociated Cells. Science 141, 401–408. [DOI] [PubMed] [Google Scholar]
  • 56.Bao M, Cornwall-Scoones J, Sanchez-Vasquez E, Cox AL, Chen D-Y, De Jonghe J, Shadkhoo S, Hollfelder F, Thomson M, Glover DM, et al. (2022). Stem cell-derived synthetic embryos self-assemble by exploiting cadherin codes and cortical tension. Nat. Cell Biol 24, 1341–1349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Turlier H, and Maître J-L (2015). Mechanics of tissue compaction. Semin. Cell Dev. Biol 47–48, 110–117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Lindström NO, Lawrence ML, Burn SF, Johansson JA, Bakker ERM, Ridgway RA, Chang C-H, Karolak MJ, Oxburgh L, Headon DJ, et al. (2015). Integrated β-catenin, BMP, PTEN, and Notch signalling patterns the nephron. Elife 3, e04000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Georgas K, Rumballe B, Wilkinson L, Chiu HS, Lesieur E, Gilbert T, and Little MH (2008). Use of dual section mRNA in situ hybridisation/immunohistochemistry to clarify gene expression patterns during the early stages of nephron development in the embryo and in the mature nephron of the adult mouse kidney. Histochem. Cell Biol 130, 927–942. [DOI] [PubMed] [Google Scholar]
  • 60.Tsujimoto H, Kasahara T, Sueta S-I, Araoka T, Sakamoto S, Okada C, Mae S-I, Nakajima T, Okamoto N, Taura D, et al. (2020). A Modular Differentiation System Maps Multiple Human Kidney Lineages from Pluripotent Stem Cells. Preprint, 10.1016/j.celrep.2020.03.040 10.1016/j.celrep.2020.03.040. [DOI] [PubMed] [Google Scholar]
  • 61.Lindström NO, McMahon JA, Guo J, Tran T, Guo Q, Rutledge E, Parvez RK, Saribekyan G, Schuler RE, Liao C, et al. (2018). Conserved and Divergent Features of Human and Mouse Kidney Organogenesis. J. Am. Soc. Nephrol 29, 785–805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Georgas K, Rumballe B, Valerius MT, Chiu HS, Thiagarajan RD, Lesieur E, Aronow BJ, Brunskill EW, Combes AN, Tang D, et al. (2009). Analysis of early nephron patterning reveals a role for distal RV proliferation in fusion to the ureteric tip via a cap mesenchyme-derived connecting segment. Dev. Biol 332, 273–286. [DOI] [PubMed] [Google Scholar]
  • 63.Brandenberg N, Hoehnel S, Kuttler F, Homicsko K, Ceroni C, Ringel T, Gjorevski N, Schwank G, Coukos G, Turcatti G, et al. (2020). High-throughput automated organoid culture via stem-cell aggregation in microcavity arrays. Nat Biomed Eng 4, 863–874. [DOI] [PubMed] [Google Scholar]
  • 64.Howden SE, Vanslambrouck JM, Wilson SB, Tan KS, and Little MH (2019). Reporter-based fate mapping in human kidney organoids confirms nephron lineage relationships and reveals synchronous nephron formation. EMBO Rep. 20. 10.15252/embr.201847483. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Wilson SB, and Little MH (2021). The origin and role of the renal stroma. Development 148. 10.1242/dev.199886. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Kumar Gupta A, Sarkar P, Wertheim JA, Pan X, Carroll TJ, and Oxburgh L (2020). Asynchronous mixing of kidney progenitor cells potentiates nephrogenesis in organoids. Commun Biol 3, 231. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Toda S, Blauch LR, Tang SKY, Morsut L, and Lim WA (2018). Programming self-organizing multicellular structures with synthetic cell-cell signaling. Science 361, 156–162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Toda S, McKeithan WL, Hakkinen TJ, Lopez P, Klein OD, and Lim WA (2020). Engineering synthetic morphogen systems that can program multicellular patterning. Science 370, 327–331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Hughes AJ, and Herr AE (2012). Microfluidic Western blotting. Proc. Natl. Acad. Sci. U. S. A 109, 21450–21455. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, et al. (2012). Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Schmid B, Schindelin J, Cardona A, Longair M, and Heisenberg M (2010). A high-level 3D visualization API for Java and ImageJ. BMC Bioinformatics 11, 274. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Hughes AJ, and Herr AE (2010). Quantitative enzyme activity determination with zeptomole sensitivity by microfluidic gradient-gel zymography. Anal. Chem 82, 3803–3811. [DOI] [PubMed] [Google Scholar]
  • 73.Kang JH, Um E, and Park J-K (2009). Fabrication of a poly(dimethylsiloxane) membrane with well-defined through-holes for three-dimensional microfluidic networks. J. Micromech. Microeng 19, 045027. [Google Scholar]
  • 74.Keskin D, Mokabbar T, Pei Y, and Van Rijn P (2018). The Relationship between Bulk Silicone and Benzophenone-Initiated Hydrogel Coating Properties. Polymers 10. 10.3390/polym10050534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Beh CW, Zhou W, and Wang T-H (2012). PDMS-glass bonding using grafted polymeric adhesive--alternative process flow for compatibility with patterned biological molecules. Lab Chip 12, 4120–4127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Schneider MH, Willaime H, Tran Y, Rezgui F, and Tabeling P (2010). Wettability patterning by UV-initiated graft polymerization of poly(acrylic acid) in closed microfluidic systems of complex geometry. Anal. Chem 82, 8848–8855. [DOI] [PubMed] [Google Scholar]
  • 77.Ebara M, Hoffman JM, Stayton PS, and Hoffman AS (2007). Surface modification of microfluidic channels by UV-mediated graft polymerization of non-fouling and ‘smart’ polymers. Radiat. Phys. Chem. Oxf. Engl 1993 76, 1409–1413. [Google Scholar]
  • 78.McGinnis CS, Patterson DM, Winkler J, Conrad DN, Hein MY, Srivastava V, Hu JL, Murrow LM, Weissman JS, Werb Z, et al. (2019). MULTI-seq: sample multiplexing for single-cell RNA sequencing using lipid-tagged indices. Nat. Methods 16, 619–626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Prahl LS, Viola JM, Liu J, and Hughes AJ (2021). The developing kidney actively negotiates geometric packing conflicts to avoid defects. bioRxiv, 2021.11.29.470441. 10.1101/2021.11.29.470441. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Combes AN, Short KM, Lefevre J, Hamilton NA, Little MH, and Smyth IM (2014). An integrated pipeline for the multidimensional analysis of branching morphogenesis. Nat. Protoc 9, 2859–2879. [DOI] [PubMed] [Google Scholar]
  • 81.O’Brien LL, Combes AN, Short KM, Lindström NO, Whitney PH, Cullen-McEwen LA, Ju A, Abdelhalim A, Michos O, Bertram JF, et al. (2018). Wnt11 directs nephron progenitor polarity and motile behavior ultimately determining nephron endowment. Elife 7. 10.7554/eLife.40392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Patyukova E, Rottreau T, Evans R, Topham PD, and Greenall MJ (2018). Hydrogen Bonding Aggregation in Acrylamide: Theory and Experiment. Macromolecules 51, 7032–7043. [Google Scholar]
  • 83.Raos G, and Zappone B (2021). Polymer adhesion: Seeking new solutions for an old problem. Macromolecules 54, 10617–10644. [Google Scholar]
  • 84.Karni M, Zidon D, Polak P, Zalevsky Z, and Shefi O (2013). Thermal degradation of DNA. DNA Cell Biol. 32, 298–301. [DOI] [PubMed] [Google Scholar]
  • 85.Klapperich CM (2009). Microfluidic diagnostics: time for industry standards. Expert Rev. Med. Devices 6, 211–213. [DOI] [PubMed] [Google Scholar]
  • 86.Naujok O, Lentes J, Diekmann U, Davenport C, and Lenzen S (2014). Cytotoxicity and activation of the Wnt/beta-catenin pathway in mouse embryonic stem cells treated with four GSK3 inhibitors. BMC Res. Notes 7, 273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Bretland AJ, Lawry J, and Sharrard RM (2001). A study of death by anoikis in cultured epithelial cells. Cell Prolif. 34, 199–210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Watanabe K, Ueno M, Kamiya D, Nishiyama A, Matsumura M, Wataya T, Takahashi JB, Nishikawa S, Nishikawa S-I, Muguruma K, et al. (2007). A ROCK inhibitor permits survival of dissociated human embryonic stem cells. Nat. Biotechnol 25, 681–686. [DOI] [PubMed] [Google Scholar]
  • 89.Motomura K, Okada N, Morita H, Hara M, Tamari M, Orimo K, Matsuda G, Imadome K-I, Matsuda A, Nagamatsu T, et al. (2017). A Rho-associated coiled-coil containing kinases (ROCK) inhibitor, Y-27632, enhances adhesion, viability and differentiation of human term placenta-derived trophoblasts in vitro. PLoS One 12, e0177994. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Kurosawa H (2012). Application of Rho-associated protein kinase (ROCK) inhibitor to human pluripotent stem cells. J. Biosci. Bioeng 114, 577–581. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1

Movie S1. Conical microwell integrated with patterned ssDNA. 3D rendering of confocal z-stack, showing rhodamine-methacrylamide co-monomer (magenta) incorporated into basal PPA gel and non-adhesive PA coating on conical PDMS walls (not visible). The patterned F ssDNA spot on the PPA substrate is labeled with SYBR Gold (green).

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2

Movie S2. Condensation of mosaic MDCK spheroids. Confocal time-lapse of CellTracker-labeled MDCK cell populations condensing into a 3D spheroid after patterning in 2D by pDPAC.

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3

Movie S3. Condensation of hiPSC-derived nephron progenitor cells. Brightfield confocal time-lapse showing NPs patterned in 2D by pDPAC rapidly condensing into a 3D spheroid after cleaving dsDNA adhesions to the substrate using DNase (right) vs control without addition of DNase (left).

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4

Data Availability Statement

  • All data reported in this paper will be shared by the lead contact upon request.

  • This paper does not report original code.

  • Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

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