Literature DB >> 32470195

Tissue-specific angiogenic and invasive properties of human neonatal thymus and bone MSCs: Role of SLIT3-ROBO1.

Shuyun Wang1, Shan Huang1, Sean Johnson1, Vadim Rosin1, Jeffrey Lee1, Eric Colomb1, Russell Witt2, Alexander Jaworski3, Stephen J Weiss4, Ming-Sing Si1.   

Abstract

Although mesenchymal stem/stromal cells (MSCs) are being explored in numerous clinical trials as proangiogenic and proregenerative agents, the influence of tissue origin on the therapeutic qualities of these cells is poorly understood. Complicating the functional comparison of different types of MSCs are the confounding effects of donor age, genetic background, and health status of the donor. Leveraging a clinical setting where MSCs can be simultaneously isolated from discarded but healthy bone and thymus tissues from the same neonatal patients, thereby controlling for these confounding factors, we performed an in vitro and in vivo paired comparison of these cells. We found that both neonatal thymus (nt)MSCs and neonatal bone (nb)MSCs expressed different pericytic surface marker profiles. Further, ntMSCs were more potent in promoting angiogenesis in vitro and in vivo and they were also more motile and efficient at invading ECM in vitro. These functional differences were in part mediated by an increased ntMSC expression of SLIT3, a factor known to activate endothelial cells. Further, we discovered that SLIT3 stimulated MSC motility and fibrin gel invasion via ROBO1 in an autocrine fashion. Consistent with our findings in human MSCs, we found that SLIT3 and ROBO1 were expressed in the perivascular cells of the neonatal murine thymus gland and that global SLIT3 or ROBO1 deficiency resulted in decreased neonatal murine thymus gland vascular density. In conclusion, ntMSCs possess increased proangiogenic and invasive behaviors, which are in part mediated by the paracrine and autocrine effects of SLIT3.
© 2020 The Authors. STEM CELLS TRANSLATIONAL MEDICINE published by Wiley Periodicals, Inc. on behalf of AlphaMed Press.

Entities:  

Keywords:  ROBO1; SLIT3; angiogenesis; cell motility; mesenchymal stem cells

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Year:  2020        PMID: 32470195      PMCID: PMC7445019          DOI: 10.1002/sctm.19-0448

Source DB:  PubMed          Journal:  Stem Cells Transl Med        ISSN: 2157-6564            Impact factor:   6.940


Mesenchymal stromal cells (MSCs), due to their ubiquity, can be isolated from various tissues and are being evaluated for their therapeutic effects. Despite their advanced clinical evaluation, the tissue‐specific pro‐regenerative properties of MSCs are poorly understood. Using a unique clinical situation that permits simultaneous isolation of thymus‐ and bone‐derived MSCs from the same patient, a paired comparison was performed, which allowed to control for donor age, health status, and individual variability. It was found that neonatal thymus MSCs possess more proangiogenic, motile, and invasive behavior and that this is in part due to increased signaling from the SLIT3ROBO1 axis. In sum, human MSCs likely have important tissue‐specific regenerative characteristics and MSC SLIT3 expression may be an informative biomarker for regenerative and therapeutic potency.

INTRODUCTION

Mesenchymal stem/stromal cells (MSCs) are located in the perivascular region, can be isolated from a variety of tissues, and are being evaluated as proangiogenic and proregenerative therapies in numerous clinical trials.1, 2, 3, 4, 5, 6, 7, 8 Although endothelial cells have been recently recognized to possess tissue‐specific properties, the influence of tissue origin on MSC therapeutic effects is poorly understood.9, 10 The ability of MSCs to migrate to damaged tissues to exert its proregenerative, anti‐inflammatory, and proangiogenic effects also influences their therapeutic potential.11, 12, 13, 14 Infusion of MSCs into the venous circulation results in intravascular homing to injured areas, and homing over shorter distances through the tissue interstitium is also likely to occur in the setting of local injection.15, 16 Requisite for homing is the motile and tissue‐invasive abilities of MSCs, and the influence of tissue origin on these characteristics is not known. The secreted axon guidance molecule SLIT3 has been shown to be an endothelial cell (EC) stimulant and has been associated with a bone marrow‐derived MSC line that is proangiogenic ; however, it is not known if this finding can be generalized to other MSC lines. Knowing these tissue‐specific properties of MSCs is important because they may have translational implications for MSC therapies. However, comparing MSCs from different tissues is confounded by factors such as donor age, presence of systemic disease, and individual variability.21, 22, 23, 24, 25, 26, 27 We have been able to simultaneously isolate MSCs from thymus and bone tissue from neonates undergoing cardiac surgery, thereby allowing for a paired comparison that controls for the above confounding factors.28, 29 These two tissues have disparate perivascular mural cell embryological origin and different degrees of perivascular mural cell coverage of the vasculature.30, 31, 32, 33, 34 Based on these differences, we hypothesized that MSCs from the thymus and bone would have different proangiogenic, motile, and invasive characteristics. Using both in vitro and in vivo assays, we evaluated this hypothesis and identified that SLIT3 contributes to the observed differences in these functional properties of MSCs.

MATERIALS AND METHODS

Cell isolation and culture

Isolation, culture, and characterization of the human ntMSCs and nbMSCs used in these studies were previously described28, 29 under a protocol that was approved by the University of Michigan Institutional Review Board. Furthermore, human adult bone marrow‐derived (ab)MSCs were obtained from Lonza (Basel, Switzerland) and ATCC (Manassas, Virginia), and human umbilical vein endothelial cells (HUVECs) were obtained from Lonza. Unless specified otherwise, all experiments used cells from passages 3 to 9.

Pericytic signature analysis

Pericyte surface markers of ntMSCs and nbMSCs isolated from n = 3 patients were characterized by flow cytometry using fluorochrome‐conjugated anti‐human CD140a, CD140b, CD146, and CD90 (BD Biosciences, San Jose, California). The antibodies were incubated with MSCs for 60 minutes at room temperature, followed by three washes. MSCs were then analyzed using a MoFlo Astrios flow cytometer (Beckman Coulter, Inc., Pasadena, California) using the appropriate isotype‐matched and unstained controls. We also measured the transcript expression of TBX18, recently determined to be expressed in the perivascular mural cells of mice vasculature, in human ntMSCs, nbMSCs, and abMSCs using qPCR (see below).

MSC‐conditioned medium generation and HUVEC tube formation assay

Ninety‐six‐well plates were coated with 60 μL of Matrigel matrix (10 mg/mL, Corning, New York) per well at 37°C for 30 to 60 minutes. HUVEC suspensions were prepared using the corresponding medium at a concentration of 1.5 × 105/mL. Next, 100 μL (15 000) of cells were added to each well (five wells per group) on top of the gelled Matrigel, followed by the addition of 100 μL of MSC‐conditioned medium and then incubated at 37°C, under 5% CO2 for 4 to 16 hours. Once tube formation was observed, the plate was washed with HBSS, and the cells were labeled with Calcein AM (2 μM) (ThermoFisher Scientific, Waltham, Massachusetts) for 30 minutes at 37°C in 5% CO2 and were photographed using a fluorescent microscope. In subsequent experiments, a blocking anti‐SLIT3 antibody (5 μg/mL, AF3629, R&D Systems, Minneapolis, Minnesota) was added to the ntMSC‐derived CM to neutralize the effects of SLIT3.

Boyden chamber assay

Mesenchymal stromal cell migration was measured using the Boyden chamber assay (Cell Biolabs, Inc., San Diego, California) in a 24‐well format with 8 μm pore size according to the manufacturer's instructions. In brief, 5 × 104 cells in 300 μL serum‐free medium were seeded in the upper compartment (the insert) and then allowed to migrate through the pores of the membrane into the lower compartment. After an appropriate incubation time in a cell culture incubator, migratory cells on the bottom of the polycarbonate membrane were stained and quantified in a fluorescence plate reader.

In vitro spheroid angiogenic sprouting assay

Spheroids comprised of 800 MSCs or 400 MSCs/400ECs were generated by hanging drop culture as previously described. Spheroids were embedded in fibrin gel and allowed to sprout for 20 hours. Brightfield images were then acquired digitally and were analyzed using NeuronJ as previously described. In some experiments, rhSLIT3 (12.5 μg/mL) (R&D Systems, Minneapolis, Minnisota) was added to the media just after spheroids were embedded in fibrin gel. In other experiments, SLIT3 or ROBO1 gene targeting in MSCs was performed using siRNA (Origene, Rockville, Maryland). Knockdown of gene expression was confirmed by qPCR before use in experiments, and experiments were repeated with at least two different siRNAs.

qPCR

Differential gene was performed using qPCR. RNA from cells was extracted according to the manufacturer's instructions using the RNeasy Mini Kit (Qiagen, Hilden, Germany) and 1 μg of total RNA was reverse transcribed with qScript cDNA Synthesis Kit (Quantabio, Beverly, Massachusetts). Quantitative polymerase chain reactions were carried out with PerfeCTa SYBR Green supermix (Quantabio) and the Applied Biosystems (Foster City, California), QuantStudio 5 Real‐Time PCR System. Data were analyzed using the 2−ΔΔCт method. The genes and primers used for this study are listed in Table S1.

In vivo angiogenesis assay

The care of animals was in accordance with institutional guidelines. Constructs (n = 5/group) containing 2 million cells (HUVECs, MSCs, and HUVECs/MSCs at a 1:1 ratio) or no cells (control group) were made in 48‐well plates with 200 μL of fibronectin and collagen hydrogel. Subject‐matched ntMSCs and nbMSCs and unrelated abMSCs were used. Constructs were implanted subcutaneously in the dorsal region of NOD/SCID mice. Constructs were explanted 14 days after implantation for histological studies and CD31 immunohistochemistry (IHC) as previously described.

Microarray

Global gene expression from neonate‐matched nbMSCs and ntMSCs was performed to gain further insight into the differences in their proangiogenic abilities. Total RNA was isolated from MSCs grown under standard conditions and then labeled and hybridized to Human Gene ST 2.1 human cDNA microarrays (Affymetrix, Santa Clara, California). Five biological replicates (individual neonates) were analyzed by the University of Michigan Microarray Core. Human Gene ST 2.1 human cDNA microarrays (Affymetrix) were used to compare ntMSCs and nbMSCs. Differentially expressed probesets were identified by a log2 fold change >1 and an adjusted P‐value <.05 (adjusted for multiple comparisons using false discovery rate). Differentially expressed genes were further analyzed for gene ontology term overrepresentation analysis using the BINGO plugin of Cytoscape as well as functional annotation clustering using DAVID.36, 37 The data discussed in this publication have been deposited in NCBI's GeneExpression Omnibus and are accessible through GEO Series accession number GSE142563 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE142563).

Western blotting

Protein was isolated from MSCs cultured under standard conditions and then quantified by bicinchoninic acid assay (Pierce, Rockford, Illinois). Next, 25 μg of total protein was loaded onto SDS‐polyacrylamide gel electrophoresis and transferred to nitrocellulose membranes. Membranes were blocked in 5% skimmed milk for 1 hour at room temperature and then incubated with primary antibody (antibodies against SLIT3, Abcam, ab78365, Cambridge, United Kingdom) overnight at 4°C. Goat anti‐rabbit IgG (H + L) 800 CW was applied for 1 hour at room temperature (1:5000, LI‐COR Biosciences, Lincoln, Nebraska). Visualization and quantification were carried out with the LI‐COR Odyssey scanner and software (LI‐COR Biosciences).

Transgenic mice

Slit3 and Slit3 mice on a CD‐1 background were obtained from Dr Sean Mclean (University of North Carolina). Robo1 and Robo1 −/− mice (CD‐1 background) were obtained from Dr Marc Tessier‐Lavigne (Stanford University). Neonatal mice (n = 3‐5 per genotype group) at postnatal days 8‐10 were anesthetized with isoflurane, and the whole thymus was obtained for IHC studies for CD31, SLIT3, and ROBO1. Thymus tissue was fixed with 10% formalin and embedded in paraffin using standard protocols. The paraffin blocks were sectioned at 5 μm thickness. For immunohistochemistry, the sections were deparaffinized with xylene and rehydrated through a graded ethanol series of solutions. The sections were then subjected to heat‐induced antigen retrieval in citrate buffer (pH 6.0), blocked with 5% BSA PBS buffer and incubated with primary antibodies at 4°C overnight. Anti‐SLIT3 (1:100, Sigma‐Aldrich, SAB2104337, St. Louis, Missouri), anti‐ROBO1 (1:100, ab7279, Abcam, Cambridge, United Kingdom), and anti‐CD31 (1:40, Novus Biologicals, Littleton, Colorado) antibodies were used. The appropriate secondary antibody Alexa Fluor (ThermoFisher Scientific) were used at a dilution of 1:200. Hoechst was used for nuclear counterstaining and all sections were mounted in Prolong Diamond Antifade Mountant (ThermoFisher Scientific). Images were obtained by confocal microscopy (Nikon A1Si, Melville, New York). In a separate experiment, the thymus was removed from Slit3 and Slit3 neonatal mice (n = 8 per genotype group) and mechanically minced into 1‐ to 2‐mm pieces. Explant culture was then performed as described for the isolation of human ntMSCs. After 7 to 10 days, tissue fragments were removed, and migrated MSCs from tissue fragments were cultured until they reached 80% confluence.

Statistical analysis

Statistical analysis was performed using a ratio t test of paired data or unpaired two‐tailed Student's t test using GraphPad Prism 9 (GraphPad Software, La Jolla, California) when appropriate, and P <.05 was considered significant. Data are presented as mean ± SD.

RESULTS

Neonatal thymus and bone MSCs possess unique pericytic signatures

We previously determined that human ntMSCs and nbMSCs could undergo in vitro multilineage differentiation and shared many surface markers expressed by abMSCs.28, 29 To further characterize these neonatal MSCs, we determined the expression of surface markers that have been previously associated with perivascular cells. With flow cytometry, we observed that ntMSCs expressed higher levels of CD140b (PDGFRβ), lower levels of CD146 (MCAM/MUC18), equivalently low levels of CD140a (PDGFRα), and equivalently high levels of CD90 (Thy1) as compared to subject‐matched nbMSCs (Figure 1A and Table S2). Furthermore, as compared to abMSCs and subject‐matched nbMSCs, ntMSCs possessed a significantly higher transcript level of TBX18 (Figure 1B), which encodes for a transcription factor that is expressed in the perivascular cells of many organs in mice. These results demonstrate that MSCs possess a tissue‐specific pericytic phenotype.
FIGURE 1

Pericytic signature of human neonate‐matched MSCs. A, Neonatal thymus MSCs possessed a surface marker expression as determined by flow cytometry that was more pericyte‐like as compared to nbMSCs (also see Table S1, n = 3 subjects). B, Transcript expression of perivascular cell‐associated factor TBX18 in subject‐matched ntMSCs and nbMSCs as determined by qPCR. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient and all data compared with a ratio t test

Pericytic signature of human neonate‐matched MSCs. A, Neonatal thymus MSCs possessed a surface marker expression as determined by flow cytometry that was more pericyte‐like as compared to nbMSCs (also see Table S1, n = 3 subjects). B, Transcript expression of perivascular cell‐associated factor TBX18 in subject‐matched ntMSCs and nbMSCs as determined by qPCR. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient and all data compared with a ratio t test

Neonatal thymus MSCs are more proangiogenic than subject‐matched nbMSCs

After identifying that ntMSCs and nbMSCs possessed different pericytic signatures, we next assessed if ntMSCs would be functionally different than subject‐matched nbMSCs in promoting neovascularization in vitro and in vivo. Because the primary mechanism by which MSCs stimulate angiogenesis is thought to be via the secretion of proangiogenic factors,40, 41 we first determined if the secretome from these two types of MSCs would vary in their ability to promote HUVEC tube formation in vitro. HUVECs in Matrigel were exposed to CM obtained from ntMSC and nbMSC cultures. HUVEC tube and network formation were significantly increased in the group exposed to CM from ntMSCs as compared to that obtained from matched nbMSCs, as well as from cultures of unrelated abMSCs (Figure 2A,B). We then observed that ntMSCs possessed increased transcript levels of the proangiogenic factors VEGFA, FGF2, ANGPT1, and HIF1A (Figure 2C). The expression of CXCL12 and HGF, both of which have been shown to encode factors involved in bone marrow‐derived MSC‐mediated angiogenesis,42, 43 were similar to subject‐matched nbMSCs (Figure 2C). These results suggest that the secretome of ntMSCs is more proangiogenic than that of bone‐derived MSCs.
FIGURE 2

Neonatal thymus MSCs are more proangiogenic than subject‐matched nbMSCs. A, Conditioned medium from ntMSCs promoted greater HUVEC network formation as conditioned medium from nbMSCs and abMSCs. Scale bar = 200 μm. B, Quantification of HUVEC network formation in A. Each data point represents a randomly selected field of analysis (results are from n = 3 subjects). C, Neonatal thymus MSCs had greater transcript levels of ANGPT1 and HIF1A as compared to matched nbMSCs. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient and all data compared with a ratio t test. D, CD31 immunohistochemistry of MSC/HUVEC‐seeded collagen/fibronectin constructs implanted in NOD SCID mice for 14 days. Scale bars = 50 μm. E, Quantification of CD31 vascular density of constructs in D, showing that ntMSCs stimulated more angiogenesis in vivo (n = 5 animals with two constructs per animal; ntMSCs and nbMSCs isolated from the same subject). Each data point represents a randomly selected field of analysis

Neonatal thymus MSCs are more proangiogenic than subject‐matched nbMSCs. A, Conditioned medium from ntMSCs promoted greater HUVEC network formation as conditioned medium from nbMSCs and abMSCs. Scale bar = 200 μm. B, Quantification of HUVEC network formation in A. Each data point represents a randomly selected field of analysis (results are from n = 3 subjects). C, Neonatal thymus MSCs had greater transcript levels of ANGPT1 and HIF1A as compared to matched nbMSCs. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient and all data compared with a ratio t test. D, CD31 immunohistochemistry of MSC/HUVEC‐seeded collagen/fibronectin constructs implanted in NOD SCID mice for 14 days. Scale bars = 50 μm. E, Quantification of CD31 vascular density of constructs in D, showing that ntMSCs stimulated more angiogenesis in vivo (n = 5 animals with two constructs per animal; ntMSCs and nbMSCs isolated from the same subject). Each data point represents a randomly selected field of analysis Next, we determined the ability of ntMSCs and nbMSCs to promote angiogenesis in vivo by encapsulating them in a collagen‐fibronectin plug along with HUVECs and then implanting them subcutaneously in NOD SCID mice. Plugs were explanted after 2 weeks and were assessed for the presence of human CD31+ luminal structures containing red blood cells. We found that ntMSCs and HUVECs generated more perfused human CD31+ blood vessels as compared to nbMSCs and HUVECs (Figure 2D,E). When compared to abMSCs, we also found that ntMSCs stimulated angiogenesis to a greater degree in vivo (Figures S1A,B). Collectively, these results indicate that MSCs isolated from the human neonatal thymus gland are more efficient in promoting angiogenesis in vitro and in vivo as compared to bone‐derived MSCs.

Neonatal thymus MSCs are more motile and invasive than nbMSCs in vitro

Perivascular cells such as MSCs are recruited and extend from adjacent areas to neovessels or capillaries that lack perivascular coverage,44, 45 indicating that MSCs must be motile and be able to negotiate the extracellular matrix (ECM) to reach its appropriate destination. Furthermore, MSCs must be motile and tissue‐invasive in order to home to areas of injury to impart their therapeutic effects. Using a Boyden chamber assay, we first observed that ntMSCs had increased motility as compared to subject‐matched nbMSCs (Figure 3A). Next, we determined the ability of ntMSCs and nbMSCs to invade and migrate through fibrin, a key component of the early provisional matrix that is important for tissue repair. We used a spheroid invasion assay29, 47 and determined that ntMSCs invaded fibrin more rapidly than nbMSCs (Figure 3B,C). Altogether, this pairwise comparison indicates that ntMSCs are consistently more motile and invasive than subject‐matched nbMSCs.
FIGURE 3

Neonatal thymus MSCs are more invasive and motile than bone MSCs. A, Quantification of Boyden chamber assay results for subject‐matched ntMSCs and nbMSCs (n = 3 subjects). Each data point represents the average of four technical replicates for each cell line and averaged data points were compared with a ratio t test. B, Spheroid comprised of ntMSCs manifested more sprouting/invasion in fibrin as compared to those made with matched nbMSCs. Scale bars = 100 μm. C, Quantification of number and length of branches from spheroids in B (n = 3 subjects) with each data point representing analysis from a single, independent spheroid

Neonatal thymus MSCs are more invasive and motile than bone MSCs. A, Quantification of Boyden chamber assay results for subject‐matched ntMSCs and nbMSCs (n = 3 subjects). Each data point represents the average of four technical replicates for each cell line and averaged data points were compared with a ratio t test. B, Spheroid comprised of ntMSCs manifested more sprouting/invasion in fibrin as compared to those made with matched nbMSCs. Scale bars = 100 μm. C, Quantification of number and length of branches from spheroids in B (n = 3 subjects) with each data point representing analysis from a single, independent spheroid

Neonatal thymus MSCs have increased expression of SLIT3

To further understand the mechanisms underlying the functional differences between ntMSCs and nbMSCs, we performed genome‐wide profiling with microarray in pairs of MSCs isolated from five neonatal subjects. We found 116 genes that were at least 2‐fold upregulated and 105 genes that were downregulated in ntMSCs as compared to nbMSCs (Figure 4A, Tables S3 and S4). Gene ontology category overrepresentation analysis revealed many processes related to tissue development in ntMSCs (Figure 4B). Although functional annotation clustering did not identify any clusters related to angiogenesis, it did identify a cluster of genes (Annotation Cluster 5) enriched in ntMSCs that were related to axon guidance and Roundabout signaling (Table S5), processes that have also been shown to regulate angiogenic sprouting.48, 49 Specifically, the secreted axon guidance molecule SLIT3, also known to a proangiogenic factor,18, 19 was found to be more highly expressed in ntMSCs (Table S3), which we confirmed with qPCR and Western blotting (Figures 4C‐E). Indeed, neutralizing SLIT3 in ntMSC CM with a specific antibody resulted in decreased HUVEC network formation in vitro, indicating that SLIT3 contributes to the paracrine effects of ntMSCs (Figure 4F and Figure S2).
FIGURE 4

SLIT3 is upregulated in ntMSCs and is important for their proangiogenic paracrine effects. A, Heatmap of differentially expressed genes in subject‐matched ntMSCs and nbMSCs as determined by microarray (also see Tables S3 and S4, n = 5 subjects). B, Network of gene ontology overrepresentation analysis of overexpressed genes in ntMSCs (Table S3) indicate enrichment for development and morphogenesis processes. C, SLIT3 transcript expression in subject‐matched ntMSCs and nbMSCs as determined by qPCR. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient. D and E, SLIT3 expression in subject‐matched ntMSCs and nbMSCs as determined by Western blotting with quantification (results are representative of n = 2 subjects). F, Neutralizing SLIT3 in the conditioned medium obtained from ntMSCs decreases their ability to promote HUVEC network formation in vitro. Experiments were performed with conditioned medium generated from three different ntMSC lines. Three random fields were analyzed per group, averaged, and then compared with Student's t test

SLIT3 is upregulated in ntMSCs and is important for their proangiogenic paracrine effects. A, Heatmap of differentially expressed genes in subject‐matched ntMSCs and nbMSCs as determined by microarray (also see Tables S3 and S4, n = 5 subjects). B, Network of gene ontology overrepresentation analysis of overexpressed genes in ntMSCs (Table S3) indicate enrichment for development and morphogenesis processes. C, SLIT3 transcript expression in subject‐matched ntMSCs and nbMSCs as determined by qPCR. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient. D and E, SLIT3 expression in subject‐matched ntMSCs and nbMSCs as determined by Western blotting with quantification (results are representative of n = 2 subjects). F, Neutralizing SLIT3 in the conditioned medium obtained from ntMSCs decreases their ability to promote HUVEC network formation in vitro. Experiments were performed with conditioned medium generated from three different ntMSC lines. Three random fields were analyzed per group, averaged, and then compared with Student's t test

SLIT3 is important for neonatal thymus vascularity

Global deficiency of SLIT3 causes congenital diaphragmatic hernia in mice that is due to a defect diaphragmatic angiogenesis, however the impact of SLIT3 on the vascular beds of other tissues is unknown. We first investigated the spatial expression of SLIT3 in murine neonatal thymus tissue as we had established that it was highly expressed in human ntMSCs. We found that SLIT3 is most dominantly in the peri‐arteriolar region as well as within the stroma of the thymic cortex (Figure 5A). Given the role of perivascular MSCs in thymus angiogenesis and localization of SLIT3 expression to the perivascular cells in the neonatal thymus (Figure 5A), we next postulated that SLIT3 played a role in thymus vascularization. To investigate this, we determined the CD31+ vascular density of thymus glands obtained from neonatal Slit3 and Slit3 mice. We found that vascular density was significantly decreased in thymus tissue from Slit3 null mice (Figure 5B,C). Altogether, these results confirm that SLIT3 is highly expressed in perivascular cells within the neonatal thymus gland and is important for thymus angiogenesis.
FIGURE 5

SLIT3 is important for neonatal thymus angiogenesis. A, Immunohistochemistry of wild‐type Slit3 +/+ mouse neonatal thymus gland showing localization of SLIT3 to the perivascular region of arterioles (results representative of samples from n = 3 animals). Scale bars = 50 μm. B and C, CD31 immunohistochemistry of thymus glands from Slit3 +/+ and Slit3 −/− neonatal mice with quantification of CD31 vascular density (n = 5 thymus glands per group). Each data point represents a randomly selected field of analysis. Scale bars = 60 μm

SLIT3 is important for neonatal thymus angiogenesis. A, Immunohistochemistry of wild‐type Slit3 +/+ mouse neonatal thymus gland showing localization of SLIT3 to the perivascular region of arterioles (results representative of samples from n = 3 animals). Scale bars = 50 μm. B and C, CD31 immunohistochemistry of thymus glands from Slit3 +/+ and Slit3 −/− neonatal mice with quantification of CD31 vascular density (n = 5 thymus glands per group). Each data point represents a randomly selected field of analysis. Scale bars = 60 μm

SLIT3 promotes the motile and invasive behavior of ntMSCs via ROBO1

Given its ability to regulate the motility of various cell types,18, 52, 53, 54 we investigated whether SLIT3 could influence ntMSC‐invasive behavior in an autocrine fashion. We first determined the effects of rhSLIT3 on ntMSC and nbMSC spheroids and found that it increased invasion in fibrin gel but as a collective migration from the central mass of the spheroid and not as individual sprouts (Figure 6A). We next isolated ntMSCs from Slit3 mice and found that they demonstrated blunted invasive behavior as compared to ntMSCs from Slit3 mice (Figure 6B). Given the possibility that SLIT3 deficiency may have interfered with the development (and subsequent ability to migrate and invade) of the ntMSCs from these global kockout mice, we targeted SLIT3 transcription in human ntMSCs with siRNA and found that decreasing SLIT3 expression also resulted in decreased length and number of sprouts from ntMSC spheroids, indicating that SLIT3 can directly regulate postnatal MSC motility and invasion in an autocrine fashion (Figure 6C).
FIGURE 6

ROBO1 mediates SLIT3 invasive motile effects on ntMSCs. A, Recombinant human SLIT3 promotes a general spreading of ntMSC spheroids in fibrin gel. B, ntMSCs from Slit3 neonatal mice have decreased invasive motile activity than ntMSCs from Slit3 neonatal mice. ntMSCs were pooled from n = 8 animals/genotype group. C, Targeting SLIT3 transcription with siRNA inhibits ntMSC spheroid invasive sprouting. D, ROBO1 is expressed 20 to 80 times more than ROBO4 in MSCs. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient and data were compared with a ratio t test. E, ROBO1 transcript levels in paired human nbMSCs and ntMSCs as determined by qPCR and data were compared with a ratio t test. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient. F, Targeting ROBO1 transcription with siRNA inhibits ntMSC spheroid invasive sprouting. Spheroid experiment results (A, C, and F) are representative of at least four independent experiments utilizing MSCs isolated from n = 4 subjects. Data points for qPCR of siRNA treated MSCs represent technical replicates and data points for spheroid branching analysis represent a single spheroid. Spheroid experimental results were analyzed with Student's t test. Scale bars = 100 μm

ROBO1 mediates SLIT3 invasive motile effects on ntMSCs. A, Recombinant human SLIT3 promotes a general spreading of ntMSC spheroids in fibrin gel. B, ntMSCs from Slit3 neonatal mice have decreased invasive motile activity than ntMSCs from Slit3 neonatal mice. ntMSCs were pooled from n = 8 animals/genotype group. C, Targeting SLIT3 transcription with siRNA inhibits ntMSC spheroid invasive sprouting. D, ROBO1 is expressed 20 to 80 times more than ROBO4 in MSCs. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient and data were compared with a ratio t test. E, ROBO1 transcript levels in paired human nbMSCs and ntMSCs as determined by qPCR and data were compared with a ratio t test. Each data pair represents ntMSCs and nbMSCs that were isolated from a single patient. F, Targeting ROBO1 transcription with siRNA inhibits ntMSC spheroid invasive sprouting. Spheroid experiment results (A, C, and F) are representative of at least four independent experiments utilizing MSCs isolated from n = 4 subjects. Data points for qPCR of siRNA treated MSCs represent technical replicates and data points for spheroid branching analysis represent a single spheroid. Spheroid experimental results were analyzed with Student's t test. Scale bars = 100 μm Given that ROBO1 and ROBO4 are potential receptors for the SLIT3 ligand, we first evaluated the transcript expression of the genes for both of these receptors in human MSCs (Figure 6D). We discovered that ROBO1 transcript levels were up to 20 to 80 times more abundant than that of ROBO4 transcripts in human MSCs (Figure 6D). In the MSC pairs that we isolated from three patients, we found that ntMSCs had a higher ROBO1 transcript levels as compared to nbMSCs, but this was not significant (Figure 6E). These results implied that ROBO1 (and not ROBO4) is likely the dominant receptor for SLIT3 in MSCs. To further confirm this, we targeted ROBO1 transcription with specific siRNA and determined the effects on human ntMSC spheroid invasive sprouting. We found that targeting ROBO1 transcription resulted in significantly decreased invasive ntMSC behavior (Figure 6F). Altogether, these results demonstrate that SLIT3 promotes ntMSC invasion and motility in fibrin in an autocrine fashion via ROBO1.

ROBO1 participates in neonatal thymus angiogenesis

The above findings indicated that MSCs can promote thymus angiogenesis via SLIT3 and that SLIT3 can act in an autocrine fashion to stimulate MSC motility and invasion. However, it is unclear how important MSC motility is to in vivo angiogenesis since sprouting is primarily formed by tip ECs. To determine the presence of any relationship between ROBO1‐mediated MSC motility and invasion and MSC‐facilitated in vivo angiogenesis, we evaluated the vascularity of thymus glands from neonatal Robo1 and Robo1 mice. In wild‐type mice, ROBO1 was found to be localized to the perivascular region of larger vessels, but not in the endothelium (Figure 7A). ROBO1 deficiency resulted in a significantly decreased CD31+ blood vessel density within the cortex of the neonatal thymus gland (Figure 7B,C), phenocopying the observations made in the thymus glands of Slit3 neonatal mice. Altogether, these results indicate that ROBO1 is important for neonatal thymus angiogenesis, in part by possibly mediating the autocrine effects of SLIT3 on ntMSC motility and invasion.
FIGURE 7

ROBO1 participates in neonatal thymus angiogenesis. A, Immunohistochemistry of wild‐type Robo1 +/+ mouse neonatal thymus gland showing localization of ROBO1 to the perivascular region of arterioles (results representative tissue from n = 3 animals). Scale bars = 10 μm. B and C, CD31 immunohistochemistry of thymus glands from Robo1 +/+ and Robo1 −/− neonatal mice with quantification of CD31 vascular density (at least n = 5 sections were analyzed from n = 3 thymus glands per genotype group). Each data point represents a randomly selected field of analysis. Scale bars = 60 μm

ROBO1 participates in neonatal thymus angiogenesis. A, Immunohistochemistry of wild‐type Robo1 +/+ mouse neonatal thymus gland showing localization of ROBO1 to the perivascular region of arterioles (results representative tissue from n = 3 animals). Scale bars = 10 μm. B and C, CD31 immunohistochemistry of thymus glands from Robo1 +/+ and Robo1 −/− neonatal mice with quantification of CD31 vascular density (at least n = 5 sections were analyzed from n = 3 thymus glands per genotype group). Each data point represents a randomly selected field of analysis. Scale bars = 60 μm

DISCUSSION

MSCs are currently being investigated in about 500 clinical trials for a variety of diseases. The therapeutic activity of MSCs is thought to be in part due to its ability to secrete beneficial factors that promote survival, rejuvenation, and regeneration of diseased or stressed parenchymal cells. A universal effect of exogenously transplanted MSCs is its ability to stimulate angiogenesis in the surrounding parenchyma, which may also contribute to the therapeutic effects of MSCs, especially in the setting of ischemia.58, 59 MSCs from a variety of tissues are being investigated as therapeutic agents, and our findings indicate that tissue source may be an important factor in determining their potency. Our results of subject‐matched MSCs also reveal that the secreted axon guidance molecule SLIT3 contributes to the proangiogenic effects of ntMSCs and that increased expression of SLIT3 may partly explain why these MSCs were consistently found to be more potent at promoting angiogenesis as compared to subject‐matched nbMSCs. These findings are consistent with the results of a prior study based on a comparison of bone marrow‐derived MSC lines from two different individuals, and the MSC line that had a higher expression of SLIT3 was more proangiogenic. SLIT3 is known to act in a paracrine fashion to stimulate ECs and sprouting angiogenesis. Interestingly, our studies indicate that SLIT3 may also act in an autocrine fashion via ROBO1 to stimulate MSC invasion and motility. Therefore, SLIT3 expression in MSCs may be a surrogate of their therapeutic potency, as it can stimulate both angiogenesis and MSC homing. Furthermore, our transcriptome analysis suggests that the tissue‐specific properties of ntSMCs may extend beyond a difference in proangiogenic qualities as ntMSCs may have tendencies toward tissue development, formation, and regeneration. The thymus gland is a highly vascular organ that can regenerate after injury and stress, and a marked angiogenic response mediated by MSCs supports thymus regeneration.51, 60 Further, a distinguishing characteristic of the thymus is that the entire vasculature, from the artery to microvascular bed to vein, is completely invested by pericytes. On the other hand, the vasculature and blood vascular sinusoids of the bone marrow have incomplete pericyte coverage, as with the vasculature from many other organs and tissues.30, 32 Our results suggest that ROBO1‐mediated effects on MSCs, such as invasion and motility, are also important for thymus vascularization, indicating that SLIT3 exerts an autocrine effect on MSCs (Figure 6A,B) that is independent of its paracrine effects on ECs that is mediated via ROBO4. MSC and pericyte motility are needed for neoangiogenesis as these cells are recruited from adjacent blood vessels to stabilize neovessels in a PDGFβ‐dependent fashion. Therefore, a defect in SLIT3ROBO1 signaling may result in defective MSC recruitment to neovasculature, leading to decreased stability of neovasculature, ultimately leading to decreased vascular density, similar to what is seen in EC‐specific PDGFβ‐deficient mice. Although SLIT3 and ROBO1 expression are generally found in the perivascular region, future studies will need to directly investigate the contribution of the SLIT3ROBO1 signaling activity in perivascular MSCs on thymus angiogenesis and development by specific targeting using conditional knockout mouse models. Portions of the thymus gland are routinely removed during neonatal and infant cardiac surgery, and thus this tissue presents as an ample and untapped source of neonatal MSCs, which we have previously shown to have therapeutic effects.29, 59, 62, 63 The results of this study further support the ntMSC as an attractive candidate for cell therapy given their superior proangiogenic properties. Patients with congenital heart disease who undergo cardiac surgery in the neonatal or early infancy periods are at risk of developing medical conditions secondary to defective perfusion or angiogenesis, such as capillary rarefaction from ventricular pressure overload, which can contribute to heart failure,64, 65, 66 cerebral damage from complications of cardiopulmonary bypass and cardiac surgery,67, 68 and myocardial ischemia and eventual heart failure from coronary obstruction after surgery. Conceivably, autologous MSCs can be isolated from discarded thymus tissue obtained during neonatal or infant cardiac surgery, expanded and cryopreserved in vitro, and then thawed and used when medically indicated.

CONCLUSION

Our results have important implications for the translational efforts of MSCs into clinical therapy. MSC proangiogenic characteristics are tissue source‐dependent and are related to the activity of an autocrine SLIT3ROBO1 signaling axis. Neonatal thymus MSCs, which have high endogenous SLIT3ROBO1 activity and proangiogenic behavior, warrant further evaluation as therapy for ischemic disease.

CONFLICT OF INTEREST

The authors declared no potential conflicts of interest.

AUTHOR CONTRIBUTIONS

S.W.: collection and assembly of data, data analysis and interpretation, and manuscript writing; S.H., S.J., J.L., E.C., R.W.: collection and assembly of data; V.R.: collection and assembly of data and data analysis and interpretation; A.J.: provision of study material and manuscript writing; S.J.W.: conception and design, data analysis and interpretation, manuscript writing, and final approval of manuscript; M.‐S.S.: conception and design, financial support, provision of study materials, collection and assembly of data, data analysis and interpretation, manuscript writing, and final approval of manuscript. Table S1. qPCR primers used in this study. Click here for additional data file. Table S2. Pericytic surface marker expression of three subject‐matched neonatal thymus and bone MSCs as determined by flow cytometry. Click here for additional data file. Table S3. Upregulated genes (>2.0x‐fold) in ntMSCs as compared to subject‐matched nbMSCs as determined by microarray analysis. Click here for additional data file. Table S4. Downregulated genes in ntMSCs as compared to subject‐matched nbMSCs determined by microarray analysis. Click here for additional data file. Table S5. Functional annotation analysis using DAVID of overexpressed genes in ntMSCs as identified by microarray. Click here for additional data file. Table S6.. Details of the cell lines and subjects. Click here for additional data file. Table S7. Specific cell lines used in each experiment. Click here for additional data file. Table S8. Individual data values and cell lines used for qPCR gene expression shown in Figures 1B, 2C, 4C, 6D,E. Click here for additional data file. Figure S1. Neontatal thymus MSCs was superior to adult bone marrow‐derived MSCs in promoting angiogenesis in vivo. A and B, CD31 immunohistochemistry of abMSC/HUVEC‐seeded collagen/fibronectin (A) and ntMSC/HUVEC‐seeded collagen/fibronectin (B) constructs implanted in NOD SCID mice for 14 days. Scale bars = 50 μm. Only 20% (1/5 constructs) of explanted constructs from the abMSC/HUVEC group demonstrated CD31 positive luminal structures whereas 100% of ntMSC/HUVEC constructs possessed numerous CD31 positive vessels (n = 5 animals with two constructs per animal). Click here for additional data file. Figure S2. Neutralizing SLIT3 in the conditioned medium (CM) obtained from ntMSCs decreases their ability to promote HUVEC network formation in vitro. A specific anti‐SLIT3 antibody can decrease the ability of conditioned medium from ntMSCs to promote HUVEC network formation in vitro. Data from these experiments are quantified and analyzed in Figure 4F. Click here for additional data file.
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