Extracellular matrix-associated gene expression in adult sensory neuron populations cultured on a laminin substrate
© Fudge and Mearow; licensee BioMed Central Ltd. 2013
Received: 24 February 2012
Accepted: 8 January 2013
Published: 30 January 2013
In our previous investigations of the role of the extracellular matrix (ECM) in promoting neurite growth we have observed that a permissive laminin (LN) substrate stimulates differential growth responses in subpopulations of mature dorsal root ganglion (DRG) neurons. DRG neurons expressing Trk and p75 receptors grow neurites on a LN substrate in the absence of neurotrophins, while isolectin B4-binding neurons (IB4+) do not display significant growth under the same conditions. We set out to determine whether there was an expression signature of the LN-induced neurite growth phenotype. Using a lectin binding protocol IB4+ neurons were isolated from dissociated DRG neurons, creating two groups - IB4+ and IB4-. A small-scale microarray approach was employed to screen the expression of a panel of ECM-associated genes following dissociation (t=0) and after 24 hr culture on LN (t=24LN). This was followed by qRT-PCR and immunocytochemistry of selected genes.
The microarray screen showed that 36 of the 144 genes on the arrays were consistently expressed by the neurons. The array analyses showed that six genes had lower expression in the IB4+ neurons compared to the IB4- cells at t=0 (CTSH, Icam1, Itgβ1, Lamb1, Plat, Spp1), and one gene was expressed at higher levels in the IB4+ cells (Plaur). qRT-PCR was carried out as an independent assessment of the array results. There were discrepancies between the two methods, with qRT-PCR confirming the differences in Lamb1, Plat and Plaur, and showing decreased expression of AdamTs1, FN, and Icam in the IB4+ cells at t=0. After 24 hr culture on LN, there were no significant differences detected by qRT-PCR between the IB4+ and IB4- cells. However, both groups showed upregulation of Itgβ1 and Plaur after 24 hr on LN, the IB4+ group also had increased Plat, and the IB4- cells showed decreased Lamb1, Icam1 and AdamTs1. Further, the array screen also detected a number of genes (not subjected to qRT-PCR) expressed similarly by both populations in relatively high levels but not detectably influenced by time in culture (Bsg, Cst3, Ctsb, Ctsd, Ctsl, Mmp14, Mmp19, Sparc. We carried out immunohistochemistry to confirm expression of proteins encoded by a number of these genes.
Our results show that 1B4+ and IB4- neurons differ in the expression of several genes that are associated with responsiveness to the ECM prior to culturing (AdamTs1, FN, Icam1, Lamb1, Plat, Plaur). The data suggest that the genes expressed at higher levels in the IB4- neurons could contribute to the initial growth response of these cells in a permissive environment and could also represent a common injury response that subsequently promotes axon regeneration. The differential expression of several extracellular matrix molecules (FN, Lamb1, Icam) may suggest that the IB4- neurons are capable of maintaining /secreting their local extracellular environment which could aid in the regenerative process. Overall, these data provide new information on potential targets that could be manipulated to enhance axonal regeneration in the mature nervous system.
KeywordsPeripheral nervous system Dorsal root ganglion Sensory neurons Regeneration Neurite growth Extracellular matrix Laminin IB4 Microarray Gene expression
Dorsal root ganglia (DRGs) contain a heterogeneous population of neurons, which are often classified into three general groups on the basis of size, morphology, sensory modalities, trophic requirements and neurochemistry [1–4]. We have been investigating how the extracellular environment influences axonal growth using an in vitro system of mature DRG neurons and have found that not all populations of adult DRG neurons respond similarly to a permissive environment [5–7]. In our previous work we have shown that a population of small diameter nociceptive DRG sensory neurons (IB4+, characterized by their ability to bind Griffonia simplificifolia isolectin B4 (IB4)), do not show significant neurite growth on a LN substrate in the absence of added trophic factors , although they are capable of growth when GDNF is added in the presence of LN . Others have also reported that IB4+ neurons have a decreased ability to regenerate in vitro compared to other DRG neuron populations, even after in vivo conditioning lesions that generally accelerate subsequent growth in culture [8, 9]. Conditioning lesions also failed to stimulate regenerative central axon growth in IB4+ neurons in vivo. The mechanisms for this difference are not fully known, but could involve selective expression of molecules involved in responsiveness to local environments in addition to known phenotypic characteristics [1, 2, 8, 11, 12].
The local nerve environment, particularly ECM components and receptors expressed by both neurons and Schwann cells, plays an important role in nerve regeneration [13–15]. Receptor such as integrins have been shown to be required for neurite outgrowth in adult sensory neurons in vitro[5, 16–18], and we have previously shown that laminin-integrin interactions activate downstream signaling components in adult DRG neurons , although the resulting transcriptional events involved in neurite growth are not fully understood.
A number of studies have used large-scale whole genome microarray-based analysis to investigate the gene expression that is required for neurite outgrowth in regenerating adult DRG sensory neurons in vivo[20–23] and in vitro[24–26]. For example, Szpara et al. reported that both superior cervical ganglia and DRG explants displayed a common upregulation of genes that encode ECM, basement membrane and cell adhesion proteins suggesting that remodeling of the local cellular environment is required for axon growth. However, total ganglia were used with no distinction between non-neuronal cells or neuron subtypes. Based upon the observed biological differences between IB4- and IB4+ neurons in our culture model, we sought to determine whether there was an ECM gene expression signature of LN-induced neurite growth. We employed a magnetic-bead based protocol to selectively isolate the IB4+ population from the total dissociated DRG neuron population (IB4-) . Neurons that bind the IB4 lectin are generally thought to represent small nociceptive neurons which lack expression of the Trk and p75 neurotrophin receptors and are GDNF-responsive, while the IB4- group include neurotrophin-responsive cells and have generally been characterized as Trk+, p75+, RT-97+ and CGRP+ neurons [1, 2, 7, 28].
Small, membrane-based microarrays were employed to assess expression of ECM-associated genes in these neuronal populations. We hypothesized that there would be decreased expression of integrins and other ECM-related molecules in IB4+ neurons, thus potentially lowering the capacity of these neurons to respond to the permissive laminin environment.
Overall the data showed that 36 genes out of a possible 144 on the array were expressed by the DRG neurons, and of these, qRT-PCR quantitation showed 6 genes were differentially expressed in the IB4+ compared to the IB4- neurons at the initial time point. In addition, the microarrays detected a number of genes that were relatively highly expressed in both populations of cells, although these were not further investigated by qRT-PCR. The results suggest that the genes expressed at higher levels in the IB4- neurons may contribute to the initial growth response of these cells in a permissive environment and could also represent a common injury response that subsequently promotes axon regeneration. The differential expression of several extracellular matrix molecules may also suggest that the IB4- neurons are capable of maintaining /secreting their local extracellular environment which could aid in the regenerative process. Our data support the supposition that ECM modeling through expression of proteolytic enzymes and matrix proteins is involved in axon outgrowth of adult neurons, and could be important in nerve regeneration in vivo.
Neuronal growth response to a LN substrate
Gene expression analysis - microarrays
Neurons were dissociated and separated into IB4+ and IB4- groups as described in the Methods [6, 27]. Oligonucleotide filter-based microarrays were employed to investigate any differences in the expression of ECM associated genes between the selected IB4+ and the IB4- populations either immediately after the selection procedure (t=0) or after a 24 hr culture on LN-coated culture dishes (t=24LN) (see Additional file 1: Table S1 for the complete gene list).
36 genes were expressed by both DRG neuron populations on microarrays
Intercellular adhesion molecule
Integrin alpha 5
Integrin beta 1
Integrin beta 4
Catenin, delta 1 predicted
Plasminogen activator, urokinase receptor
Neural cell adhesion molecule 1
RT1 class Ib, locus Aw2
Secreted phosphoprotein 1 (osteonectin)
Laminin, beta 1 predicted
Procollagen, type 1, α1
Procollagen, type 4, α1
Procollagen, type 4, α2 predicted
Procollagen, type 5, α3
Procollagen, type XXVII, α1
Matrix Metallopeptidases (MMPs)
Matrix Metallopeptidase 13
Matrix Metallopeptidase 14
Matrix Metallopeptidase 19
Matrix metallopeptidase 24
Regulators of MMPs
Connective tissue growth factor
Secreted acidic cysteine rich glycoprotein
Tissue inhibitor of metallopeptidase 1
Other extracellular proteases
A disintegrin-like and metallopeptidase (reprolysin type) with thrombospondin type 1 motif, 1
Plasminogen activator, tissue
Differences between IB4+ and IB4-expression as assessed by microarray analyses
Differences in expression for IB4 + compared to IB4 - neurons at t=0 and t=24LN as determined by each of the different assays employed
(compared to IB4-)
Gene expression analysis - quantitative RT-PCR (qRT-PCR)
Differences in expression for IB4 + compared to IB4 - neurons at t=0 and t=24 as determined by each of the different assays employed
IB4+T=24 vs T=0
IB4-T=24 vs T=0
Of note is the fact that the qRT-PCR data did not completely agree with the array results in terms of the distinction between the IB4- and IB4+ cells. This particularly evident at t=24LN where there were no significant differences between the populations, with relative expression levels being similar (Figure 3). The TaqManR assays also picked up differences within each group over time that that did not correspond with, nor were detectable in, the array assays. The IB4+ group had increased expression of Itgb1, Plat and Plaur after 24hr culture, the IB4- group also had increased Itgβ1 and Plaur, but decreased expression of AdamTs1, Icam1 and Lamb1. The lack of significant difference between the populations at 24 hr could be a result of expression changing between t=0 and t=24 in the individual groups, such that increased expression in the IB4+ cells from t=0 to t=24 and the decreases in the IB4- group over the same period could offset differences between the populations (Figure 3). Further discussion of the discrepancies between the 2 assay types is found in the Discussion.
Cellular protein expression
Plaur (Figure 4) was present in both IB4+ and IB4- neurons, with higher levels detected in the IB4+ cells. Integrin β1 (Figure 5) was also expressed in both groups, with the IB4+ cells showing decreased expression. LN (Figure 6) was also expressed by both groups, with lower expression in the IB4+ cells. Note that for LN immunostaining we assessed cells plated on PL (Figure 6A-H), as the background staining of the LN substrate with the LN antibody made it difficult to visualize neuronal expression. Imaging of LN immunostaining on the LN substrate resulted in ‘negative-like’ patterns of cell attachment and neurite growth (Figure 6I-P), likely due to accessibility of the antibody to the substrate underlying the neurons, although it might also indicate some proteolysis of the LN substrate. There were no differences in FN expression (Figure 7) between IB4+ and IB4- neurons at t=0 but expression was increased in both groups at t=24LN. Both groups of neurons expressed AdamTs1, CTSH, OPN and Icam (Figure 8), with no differences between the groups at t=0, except for OPN which was higher in the IB4+ cells. At 24 hrs, AdamTs1 increased in both groups, OPN increased in the IB4- cells and CTSH decreased in the IB4+ group (Table 3, Additional file 6: Figure S2).
While the densitometry analyses indicated differences in staining intensity, this assessment is at best only an estimation of protein expression, and was intended to ensure that the neurons did express the proteins. The differences detected did not agree with the quantitation of gene expression differences.
Immunohistochemistry of DRG sections
ECM-related gene expression by DRG neurons
We hypothesized that there would be gene expression differences between the IB4+ and IB4- cells given the observed growth responses in culture. Our results support the hypothesis to some extent, noting that there were intrinsic differences (eg., at t=0) in gene expression as assessed by qRT-PCR, with the IB4+ cells showing lower expression of AdamTs1, Fn, Icam1, Lamb1, Plat, but higher expression of Plaur. While several of these are clearly involved in axonal growth or regeneration in the peripheral nervous system (Fn1 (fibronectin) [30–34], Icam1, Lamb1, Plaur and Plat[13, 36, 37]), their expression in neurons has been less well described.
Discrepancies between the microarray and qRT-PCR results
As noted in the Results, the qRT-PCR data did not completely agree with the array results in terms of differences between the IB4- and IB4+ cells. This was particularly evident at t=24LN where there were no significant differences between the populations (Figure 3). The TaqManR assays also picked up differences within each group over time that that did not correspond with, nor were detectable in the array assays. There are a number of potential explanations for the discrepancies. A basic issue relates to the assay platforms and the sequences probed by the different methods. Specific primer sequences are not available for the TaqMan assays nor does the microarray platform (SABiosciences) provide sequence information with respect to the panels of oligonucleotides used to create the arrays, thus caution is required in interpreting or comparing results from these two very different approaches. Quantitative RT-PCR assays are more reliable and sensitive to changes in mRNA expression although such assays can also be subject to caution (http://miqe.gene-quantification.info). It is also possible that the discrepancies could be due to the different platforms probing different regions of the genes or that distinct isoforms are being expressed by the populations. For example, Spp1/OPN exists as three isoforms derived from alternative splicing and these have been reported to have differing effects on cellular behaviour including regulating expression of Plau, the ligand for Plaur . Several splice variants of Plaur/uPAR are also reported in cancer with differing expression and biological activity in malignant vs non-malignant cells .
The differences in protein expression detected by ICC did not agree with the quantitation of gene expression differences, although one would not necessarily expect a direct correlation [40, 41]. Post-transcriptional mechanisms including translation and post-translational modification as well protein turnover will modulate protein steady state levels . Post-transcriptional mechanisms have been suggested to contribute to discrepancies in plasminogen enzyme activities compared to mRNA levels in neonatal DRG neurons . The difference could also point to post-translational modifications or the presence of proteins translated from splice variants, since alternative-spliced isoforms have been described for several of these targets as noted above, albeit in cancer or metastasizing cells (eg., [39, 43]). In any case, the ICC provided confirmation of the genes, including those not previously described or detected at the protein level in the DRG (eg., Bsg, AdamTs1 ; MMP 14, MMP19, RT-Aw2, Ctgf).
Technical and biological variability between the different assays contribute to the observed discrepancies. Thus, while the microarray approach was useful for screening purposes, the quantitative changes in gene expression between the populations that we have presented are based upon the data obtained from qRT-PCR analyses.
The tissue plasminogen (uPAR/Plaur and tPA/Plat) system in sensory neurons
Many cells types use extracellular proteolysis to modify the ECM or cell-cell contacts in order to respond to environmental cues. Enzymes involved include MMPs and members of the plasminogen activator/plasmin system. Two types of plasminogen activators are tPA/Plat and uPA/Plau or urokinase; uPAR/Plaur is the receptor for uPA. Both PAs convert plasminogen into active plasmin, which is a protease with targets that include ECM components, growth factors and cellular receptors .
Our data show that Plat was expressed at higher levels in the IB4- cells at t=0, but was increased in the IB4+ cells by 24 hr. tPA plays a key role in growth and regeneration in the nervous system , with tPA enhancing sensory axon regrowth in the spinal cord in a model of spinal cord injury . LN has been shown to be degraded by tPA activation of plasminogen and to be necessary for PC12 cell neuritogenesis on LN . Plat may play a similar role here in the LN-induced growth of the IB4- neurons.
Our results showed that Plaur was expressed at higher levels in the IB4+ neurons compared to the IB4- cells at t=0; both were increased after 24 hr. The relative increases in Plaur with time in culture were several-fold higher than any of the other genes investigated by qRT-PCR; similar large increases have been observed in cultures of neonatal DRG neurons . The reason for this is unclear, particularly with the suggested role of Plaur in nerve regeneration, and the reported lack of growth of the IB4+ cells in vitro and in vivo[5, 8, 9]. However, considering that these cells are able to undergo neuritogenesis in culture when GDNF is added, it suggests that they do have the capacity to regenerate, provided the appropriate growth factors are also made available.
The Plaur gene encodes for a cell surface receptor (Plaur in rats, uPAR in mice and humans) that binds urokinase plasminogen activator (uPA), resulting in the conversion of plasminogen to plasmin to promote pericellular matrix degradation . In cancer, the plasminogen activator system has been extensively studied for its role in cell migration and invasion . Interestingly, uPAR has been reported to be necessary for nerve growth factor (NGF)-induced neurite extension in PC12 cells . Furthermore, an increase in Plaur/uPAR expression in sensory neurons after injury has been previously described. Hayden and Seeds  showed that uPAR and uPA mRNA levels significantly increased in neonatal mouse DRG neurons during the first day of culture. In subsequent in vivo nerve injury experiments, Siconolfi and Seeds  reported that DRG neuron uPAR mRNA expression increased by 8 hr post-injury, while uPA did not increase until day three. These studies suggested that the plasminogen activator system was likely to play a key role in peripheral nerve regeneration. The role of uPAR in peripheral nerve function and regeneration has only recently been more completely elucidated. In a recent report, using uPAR null mice, Previtali and colleagues have shown that lack of uPAR inhibits nerve regeneration following injury, which was attributed to a decrease in fibrinolytic activity in the damaged nerve and concomitant deposition of fibrin and vitronectin . This work suggests that uPAR/Plaur is key to the appropriate remodeling of the ECM necessary for nerve regeneration , although no differences in the neuronal subtypes were investigated.
In addition, plasminogen-independent roles for Plaur have been explored. For example, Plaur has also been shown to interact with cell surface molecules such as integrins [51–55] and mediate MEK/ERK signaling through FAK or Src [56–58]. Plaur also regulates the activity of MMPs after sciatic nerve crush . Thus, the increase in Plaur mRNA and protein in the absence of uPA expression may point to a uPA-independent role(s) in these cultured DRG neurons. Our data, combined with the previous literature, suggest that Plaur expression may be involved in essential interactions with the ECM in these neurons. However, further experiments are necessary to investigate whether the increased expression of Plaur in the IB4+ cells plays any part in the reported diminished ability of these neurons to regenerate compared to other classes of DRG neurons [2, 6, 8–10].
Integrin expression in DRG neurons
The microarrays detected that integrins β1, β4 and α5 were consistently expressed by these neurons. We have previously detected expression of α1, α5, and α3 integrins along with β1 by ICC, and have shown that β1 is required for LN-induced neurite growth . While Integrin β1 was found to be decreased in the IB4+ cells by both array and ICC analysis, the qRT-PCR did not detect significant differences at t=0 between the 2 groups. However, after 24 hr culture on LN, increased gene expression in both the IB4+ and IB4- cells was detected by qRT-PCR. While our initial hypothesis was that differences in integrin expression might contribute to the relatively rapid initial growth from IB4- cells compared to IB4+, these data indicate that this is not the only factor in the growth response.
Other studies have pointed to an important contribution of integrin α7β1 expression to the regeneration promoting effects of preconditioning lesions [60, 61]. However, α7 is not expressed by IB4+ neurons, which have a reduced regenerative capacity, nor does forced expression of α7 lead to any rescue of this lack of growth [8, 9, 17]. Integrin α7 was not detected by the arrays, although standard RT-PCR showed that the mRNA was expressed in both populations (data not shown). However, as we have previously been unable to detect α7 by ICC in our cultures using several different antibodies, it is possible that while the mRNA is present, there is a low level of translation not detectable by our methods.
Other genes of interest detected on the microarray screen
Our initial approach was to use the arrays as a platform to screen for genes that were differentially expressed between two populations of DRG neurons and might conceivably contribute to the differences in neurite growth induced by LN. This approach identified the genes that were then further assessed by qRT-PCR as noted above. A number of other genes were identified that displayed relatively high levels of expression (compared to the housekeeping genes) in both sets of neurons, but were not detectably changed over time in culture. Several of these (Bsg, Sparc, Adamts1, Mmp14) have only recently been described in embryonic DRG neurons using a similar microarray approach, but neither Bsg nor AdamTs1 was detected at the protein level . For others (Mmp19, Ctgf, RT1-Aw2), to our knowledge it is the first time that they have been reported to be expressed in adult DRG neurons, although Ctgf was picked up in a large scale screening of genes associated with outgrowth in embryonic DRG, using RNA isolated from whole ganglia . IHC to detect a number of these proteins showed that they are expressed in the ganglia both in neurons and in associated non-neuronal cells DRGs (Figure 9; also Additional files 7-8: Figures S3-4).
Several of these genes have been studied for their role in ECM remodeling in other cell types. Remodeling of ECM components clears a path for cell migration and plays a role in peripheral nerve regeneration [13, 62]. Of interest, MMP14 (also known as MT1-MMP) is a membrane-bound MMP that regulates the turnover and integrin-mediated endocytosis of fibronectin , and our results show neuronal and nuclear expression in the DRG sections. BSG (also known as EMMPRIN) is a type 1 integral membrane receptor that has the ability to complex with integrin α3β1  and induce MMP expression [65, 66]. It has also been shown to mediate neuron-glial interactions important in the development of the Drosophila eye . IHC results demonstrate expression in DRG neurons, with an apparent cytoplasmic and cell surface localization. As these genes were robustly expressed in DRG neurons, they could be important of the response of DRG neurons to their extracellular environment in vivo.
Another gene not previously reported as being expressed in DRG neurons is RT1-Aw2. RT1-Aw2 is an MHC class I molecule , and MHC class I molecules have recently been implicated in the immunoregulatory functions of synaptic plasticity after nerve injury  and in neuroinflammation . This could suggest that RT1-Aw2 plays a key role in antigen presentation and neuro-immune interactions in these cultured adult neurons. RT1 is expressed in DRG neurons and appears to be enriched on the cell surface (Figure 9K).
The genes (Bsg, Cst3, Ctsb, Ctsd, Ctsl, Mmp14, Mnp19, Sparc) detected by the microarray screen as being relatively highly expressed are involved in the degradation of extracellular and intercellular proteins and could play a role in the response of the neurons to ECM cues in axonal growth . Because there were no differences observed between the populations on the arrays, these genes were not subjected to further analyses by qRT-PCR. However, given the discrepancies observed between the two assays, we will investigate this further. Future studies will focus on these genes to understand what role they play in ECM remodeling that could promote axonal growth in in vitro and in vivo systems.
In summary we have investigated whether the observed growth differences between IB4+ and IB4- neurons were associated with any differences in the expression of genes associated with the ECM. Several differences were observed, which may play a role in the growth response or represent a general response to cellular injury.
Our results show that 1B4+ and IB4- neurons differ in the expression of several genes that are associated with responsiveness to the ECM prior to culturing (AdamTs1, FN, Icam1, Lamb1, Plat, Plaur). The data suggest that genes expressed at higher levels in the IB4- neurons could contribute to the initial growth response of these cells in a permissive environment and could also represent a common injury response that subsequently promotes axon regeneration. The differential expression of several extracellular matrix molecules (FN, Lamb1, Icam) suggests that the IB4- neurons are capable of maintaining/secreting their local extracellular environment which could aid in the regenerative process. Overall, these data provide new information on potential targets that could be manipulated to enhance axonal regeneration in the mature nervous system.
DRG neuron separation and culture
Animal procedures were approved by the Animal Care Committee at Memorial University of Newfoundland in accordance with The Canadian Council on Animal Care (CCAC). For each biological replicate, DRGs were collected from six young adult Sprague Dawley rats (4–7 weeks old), cleaned of attached nerve roots and connective tissue, pooled and enzymatically dissociated using our standard protocol . Approximately 95% of non-neuronal cells were removed using a 4 × 4 minute centrifugations at 50 x g in a 15 ml centrifuge tube prior to the separation procedure. IB4+ binding DRG neurons were separated from the total DRG neuronal population using our established magnetic separation protocol that utilizes Streptavidin-Dynabeads coated with biotinylated isolectin B4 from Banderaea simplicifolia (Sigma, cat#L2140) to produce two populations of DRG neurons . Briefly, neurons are incubated with the lectin-coated beads, and neurons that bind the lectin are subsequently collected using a magnet (IB4+ neurons). The IB4+ selected cells are detached from the beads after a DNase treatment which degrades the DNA linker that attaches the streptavidin to the beads. The supernatant contains the remaining neuronal populations, the IB4- group. Our optimized protocol results in neuronal enrichment with less than 1-5% non-neuronal cells. We visually assessed the composition of the IB4+ and IB4- cell groups to ensure that this was the case and discarded any samples that were considered above this limit. The usual time from euthanasia to cell plating was on the order of 2–2.5 hrs. We have noted that binding of the lectin to the neurons as would occur in the separation protocol does not appear to account for any differences in growth, as the lack of growth of the IB4+ cells is detectable with or without the selection procedure. We and others have shown that IB4+ cells have a reduced ability to regenerate both in vivo and in vitro in studies where lectin-binding is employed to identify the cells after fixation, and in the absence of any separation protocol [6, 8, 9].
For mRNA analysis, t=0 samples were collected from IB4+ and IB4- populations of neurons immediately after the separation procedure for total RNA extraction. Alternatively, t=24LN samples were collected from the two populations after 24 hr culture on laminin (LN, 20 μg/ml) coated 35 mm culture dishes at 37°C. Neurons were maintained in serum-free Neural Basal Media (NBM) with B27 supplement and mitotic inhibitors. For immunocytochemical analysis of cellular protein, total (not separated) DRG neuronal populations were cultured in NBM either on poly-D-lysine (PL) coated 35 mm culture dishes for 45 min (t=0), or on LN coated dishes for 24 hr (t=24LN).
RNA collection and preparation
Total RNA was extracted from each sample using an RNeasy plus micro kit (Qiagen). For t=0 samples, the IB4+ and non-selected neurons were pelleted after the separation procedure for 5 minutes at 300 x g. The supernatant was then removed and the pellet was resuspended in 350 μl of Buffer RLT. For t=24LN samples, the culture medium was removed and 350 μl of Buffer RLT was added to each well of a 6-well culture plate to directly lyse the neurons. The well was then scraped with a rubber policeman and the sample was transferred from the well to a 1.5 ml centrifuge tube. The lysed samples were processed through the remainder of the RNeasy Plus Micro protocol as per the manufacturers manual. Total RNA was quantified using a NanoDrop 1000 spectrophotometer (ThermoScientific) and stored at −80°C.
cRNA synthesis and labelling
Biotinylated cRNA was prepared using the True-Labeling-AMP 2.0 kit (SABiosciences) using 600 ng of total RNA. Labeled cRNA was purified employing the ArrayGrade cRNA Cleanup kit (SABiosciences) and quantified with a NanoDrop 1000 spectrophotometer (ThermoScientific).
Gene expression was analyzed using Gearray oligo microarrays (SABiosciences) that were designed to analyze the mRNA expression levels of genes that encode for extracellular matrix attachment and adhesion molecules and remodeling enzymes (extracellular and lysosomal proteases) that were specific for rat tissues (Additional file 1: Table S1). These arrays are nylon membranes containing a printed matrix of 60-mer oligonucleotide probes specific to each gene. During the course of the experiment, the manufacturer created an updated version of the array. Thus two arrays were used for the experiments (ORN 0.13 and ORN 0.13.2). Although the arrays individually analysed the expression of 133 genes, due to small differences between the gene lists of each array, we ultimately analysed 144 genes. Three experiments were performed with ORN 0.13 and four experiments with ORN 0.13.2. This caused the number of biological replicates to vary for each gene. GEarray membranes were hybridized with the biotin-labeled cRNA target and 0.75 ml of GEarray hybridization solution overnight at 60°C. The hybridization solution was then removed and the array membrane was washed with 2XSSC, 1% SDS for 15 min at 60°C. Blocking and detection were performed at room temperature using the Chemiluminescent Detection kit (SA Biosciences). The membrane was exposed to film for 20 sec to 5 min, and films were developed and scanned to create digital images. Gene expression was indicated by the density of a hybridized “spot” for each gene. The digital images for each array were uploaded to the SABiosciences online GEarray Expression Analysis Suite.
This software calculated the intensity of the hybridization spots for each gene on the array. Spot intensities (densitometry) for each gene were subtracted from background and normalized to housekeeping gene expression levels (1.0) to calculate the absolute value of expression for each gene. Gene expression levels ranged from 0.02 (faint spot, very low expression) to 1.34 (bleeding spot, very high expression). The housekeeping genes [peptidylpropyl isomerase A, ribosomal protein L32, lactate dehydrogenase, aldolase A, glyceraldehydes-3-phosphate dehydrogenase and a biotinylated artificial sequence 2 complementary sequence] were located on the top left corner and along the lower edge of the array. The absence of the expression of particular genes may indicate that the expression level is below the detection limit of the array technique. Relative quantities were determined by expressing normalized values relative to IB4- t=0 or IB4+ t=0. Genes that had relative changes in expression greater than 1.5 fold or less than 0.60 fold were labeled as differentially expressed. The spot intensities were also confirmed visually. Statistical differences between normalized spot intensities of the two neuron populations at both timepoints, and within populations from t=0 to t=24LN, were determined using ANOVA with Tukey post hoc testing and/or Students t-test.
Quantitative reverse transcriptase polymerase Chain reaction (qRT-PCR)
Select genes from the microarray analysis were further investigated using quantitative RT-PCR to validate possible differential gene expression in IB4+ versus non-selected cell populations. The same experiments described above were repeated (n=3 biological replicates), and complementary DNA was synthesized from each RNA sample (IB4+ t=0, IB4- t=0, IB4+ t=24LN, IB4- t=24LN). Complementary DNA was prepared using a Superscript III First Strand synthesis system for RT-PCR (Invitrogen). The cDNA was quantified using a NanoDrop 1000 spectrophotometer (ThermoScientific). Pre-designed Assays-On-Demand™ Taqman® rat gene expression assays (Applied Biosystems) were used to amplify the target genes (AdamTs1 – Rn00577887; CTSH – Rn00564052; Fn1 – Rn00569575; Icam1 – Rn00564227; Igtb1 – Rn00566727; Lamb1 – Rn001473698; Spp1 – Rn00563571; Plaur – Rn00569290; Plat – Rn00565767). Primer sequences are not provided, but context sequences and amplicon size for each assay are available at Applied BioSystems (Taqman® search: a http://bioinfo.appliedbiosystems.com). Data were expressed relative to IB4- at t=0 using a standard PCR protocol on a Fast Real-Time PCR platform (Applied Biosystems). Relative quantities of gene expression were determined by normalizing to the threshold cycle (CT) values of each gene to the paired Gapdh CT values and expressed them relative to IB4- values at t=0 using the relative quantification Comparative CT method (eg. Relative quantity=2-((IB4+ Gapdh CT at t=0 – paired IB4+GeneCT at t=0) – (IB4- Gapdh CT at t=0 – paired IB4-Gene CT at t=0))). Three biological replicates for each gene were run in triplicate. Statistical significance was calculated using ANOVA with Tukey post hoc testing and/or Students T-test to compare the relative quantity results from each replicated trial.
Fluorescent immunocytochemistry (ICC)
List of antibodies employed in this study
Source (cat #)
AbioTec, 251576, rabbit polyclonal
β III tubulin
Millipore, MAB1637, mouse monoclonal; Sigma T2200, rabbit polyclonal
Santa Cruz, sc9757, goat polyclonal
R&D Systems, MAB1714, mouse monoclonal
Santa Cruz, sc14939, goat polyclonal
Abnova, PAB8634, goat polyclonal
Abcam, PAB23751, rabbit polyclonal
Acris, SM286ps, mouse monoclonal
Chemicon, AB1592, rabbit polyclonal
Dako, Z0097, rabbit polyclonal; Iowa State Hybridoma Bank 2E8, monoclonal
MMP 19 (MT-MMP)
Santa Cruz, sc12367, goat polyclonal
Millipore, MC192 mouse monoclonal
Santa Cruz, sc5241, goat polyclonal
Santa Cruz, sc10815, rabbit polyclonal
Santa Cruz, sc25574, rabbit polyclonal
Abcam, AB8448, rabbit polyclonal
Santa Cruz, sc71972, mouse monoclonal
Sigma, L2140 (biotinylated)
Densitometric analyses of ICC staining
Confocal images were acquired from slides using equivalent PMT values for each channel. Image stacks were opened in Image J using the Bioformat plugin and the average gray density (0–255 gray levels) and area were manually measured for individual cells. Expression was determined for both IB4+ and IB4- cells and the data then subjected to statistical analyses using 1-way ANOVA (Graph Pad Prism software). The average densities were compared among the various experiments using the tubulin staining signal and the negative control to evaluate slide-slide and experiment-experiment variability. Comparisons were initially assessed between the IB4+ or IB4- cells within a given culture well on a given slide, and then data compared to the different slides/experiments.
Fluorescent immunohistochemistry (IHC)
DRG were isolated as noted above and immediately frozen in OCT embedding medium in LN2. 20 μm sections were obtained and air-dried onto glass slides for subsequent IHC. Sections were fixed in 4% PFA and then subjected to one of the following treatments. Tissue was either blocked with 10% NHS ± 0.1% Triton-X and then processed as outlined above for dissociated cells, or treated with 100% methanol at −20°C for 10 min, washed with PBS and then blocked with 10% NHS and processed as above. Images were acquired with an Olympus Fluoview FV1000 confocal laser scanning microscope using the z-stage to acquire 2.0 μm optical slices and OIB software to compile z-stacks. Composite images were prepared using Adobe Photoshop.
Array data are deposited in the Dryad repository: http://dx.doi.org/10.5061/dryad.80d7p.
AdamTs1: A disintegrin of metalloproteases with thrombospondin-like motifs
Cdh2: Cadherin 1,2
Calcitonin gene related peptide
Catenin delta 1
CTSH: Cathepsin H
Central nervous system
Col4a2, Col27a1: Collagen 1a1, 4a2, 27a1
Connective tissue growth factor
Dorsal root ganglion
FN: Fibronectin 1
Glial derived neurotrophic factor
ITGB1: Integrin β1
Intercellular adhesion molecule 1
IB4 binding neurons
IB4 negative neurons
Mmp9, Mmp14, Mmp19, Mmp24: Matrix metalloproteinase 3, 9, 14, 19, 24
Neural cell adhesion molecule 1
Peripheral nervous system
Secreted phosphoprotein 1
Tissue inhibitor of metalloproteinases 1
Tissue plasminogen activator
Plaur, UPAR: Urokinase plasminogen activator receptor.
The authors wish to thank Firoozeh Nafar, Adam Green, Joe Clarke, Clifford Guy, Drs. Budd Tucker and Rodney Russell for providing invaluable assistance and discussion. Neva Fudge was supported by The Dean’s Fellowship (Memorial University of Newfoundland) and an NSERC Post Graduate Scholarship. Dr. Karen Mearow was supported by a CIHR operating grant (MOP-64206).
- Averill S, McMahon SB, Clary DO, Reichardt LF, Priestley JV: Immunocytochemical localization of trkA receptors in chemically identified subgroups of adult rat sensory neurons. Eur J Neurosci. 1995, 7 (7): 1484-1494. 10.1111/j.1460-9568.1995.tb01143.x.PubMed CentralPubMedGoogle Scholar
- Gavazzi I, Kumar RD, McMahon SB, Cohen J: Growth responses of different subpopulations of adult sensory neurons to neurotrophic factors in vitro. Eur J Neurosci. 1999, 11 (10): 3405-3414. 10.1046/j.1460-9568.1999.00756.x.PubMedGoogle Scholar
- Petruska JC, Napaporn J, Johnson RD, Cooper BY: Chemical responsiveness and histochemical phenotype of electrophysiologically classified cells of the adult rat dorsal root ganglion. Neuroscience. 2002, 115 (1): 15-30. 10.1016/S0306-4522(02)00409-8.PubMedGoogle Scholar
- Petruska JC, Napaporn J, Johnson RD, Gu JG, Cooper BY: Subclassified acutely dissociated cells of rat DRG: histochemistry and patterns of capsaicin-, proton-, and ATP-activated currents. J Neurophysiol. 2000, 84 (5): 2365-2379.PubMedGoogle Scholar
- Tucker BA, Rahimtula M, Mearow KM: Integrin activation and neurotrophin signaling cooperate to enhance neurite outgrowth in sensory neurons. J Comp Neurol. 2005, 486 (3): 267-280. 10.1002/cne.20518.PubMedGoogle Scholar
- Tucker BA, Rahimtula M, Mearow KM: Laminin and growth factor receptor activation stimulates differential growth responses in subpopulations of adult DRG neurons. Eur J Neurosci. 2006, 24 (3): 676-690. 10.1111/j.1460-9568.2006.04963.x.PubMedGoogle Scholar
- Tucker BA, Mearow KM: Peripheral sensory axon growth: from receptor binding to cellular signaling. Can J Neurol Sci J Can Sci Neurol. 2008, 35 (5): 551-566.Google Scholar
- Leclere PG, Norman E, Groutsi F, Coffin R, Mayer U, Pizzey J, Tonge D: Impaired axonal regeneration by isolectin B4-binding dorsal root ganglion neurons in vitro. J Neurosci: Offic J Soc Neurosci. 2007, 27 (5): 1190-1199. 10.1523/JNEUROSCI.5089-06.2007.Google Scholar
- Kalous A, Keast JR: Conditioning lesions enhance growth state only in sensory neurons lacking calcitonin gene-related peptide and isolectin B4-binding. Neuroscience. 2010, 166 (1): 107-121. 10.1016/j.neuroscience.2009.12.019.PubMedGoogle Scholar
- Belyantseva IA, Lewin GR: Stability and plasticity of primary afferent projections following nerve regeneration and central degeneration. Eur J Neurosci. 1999, 11 (2): 457-468. 10.1046/j.1460-9568.1999.00458.x.PubMedGoogle Scholar
- Leinster VH, Robson LG, Shortland PJ: Differential effects of riluzole on subpopulations of adult rat dorsal root ganglion neurons in vitro. Neuroscience. 2010, 166 (3): 942-951. 10.1016/j.neuroscience.2009.12.058.PubMedGoogle Scholar
- Paveliev M, Lume M, Velthut A, Phillips M, Arumae U, Saarma M: Neurotrophic factors switch between two signaling pathways that trigger axonal growth. J Cell Sci. 2007, 120 (Pt 15): 2507-2516.PubMedGoogle Scholar
- Rivellini C, Dina G, Porrello E, Cerri F, Scarlato M, Domi T, Ungaro D, Del Carro U, Bolino A, Quattrini A: Urokinase plasminogen receptor and the fibrinolytic complex play a role in nerve repair after nerve crush in mice, and in human neuropathies. PLoS One. 2012, 7 (2): e32059-10.1371/journal.pone.0032059.PubMed CentralPubMedGoogle Scholar
- Previtali SC, Malaguti MC, Riva N, Scarlato M, Dacci P, Dina G, Triolo D, Porrello E, Lorenzetti I, Fazio R: The extracellular matrix affects axonal regeneration in peripheral neuropathies. Neurology. 2008, 71 (5): 322-331. 10.1212/01.wnl.0000319736.43628.04.PubMedGoogle Scholar
- Previtali SC, Feltri ML, Archelos JJ, Quattrini A, Wrabetz L, Hartung H: Role of integrins in the peripheral nervous system. Prog Neurobiol. 2001, 64 (1): 35-49. 10.1016/S0301-0082(00)00045-9.PubMedGoogle Scholar
- Condic ML: Adult neuronal regeneration induced by transgenic integrin expression. J Neurosci. 2001, 21 (13): 4782-4788.PubMedGoogle Scholar
- Gardiner NJ, Fernyhough P, Tomlinson DR, Mayer U, von der Mark H, Streuli CH: Alpha7 integrin mediates neurite outgrowth of distinct populations of adult sensory neurons. Mol Cell Neurosci. 2005, 28 (2): 229-240. 10.1016/j.mcn.2004.08.017.PubMedGoogle Scholar
- Plantman S, Patarroyo M, Fried K, Domogatskaya A, Tryggvason K, Hammarberg H, Cullheim S: Integrin-laminin interactions controlling neurite outgrowth from adult DRG neurons in vitro. Mol Cell Neurosci. 2008, 39 (1): 50-62. 10.1016/j.mcn.2008.05.015.PubMedGoogle Scholar
- Tucker BA, Rahimtula M, Mearow KM: Src and FAK are key early signalling intermediates required for neurite growth in NGF-responsive adult DRG neurons. Cell Signal. 2008, 20 (1): 241-257. 10.1016/j.cellsig.2007.10.014.PubMedGoogle Scholar
- Costigan M, Befort K, Karchewski L, Griffin RS, D’Urso D, Allchorne A, Sitarski J, Mannion JW, Pratt RE, Woolf CJ: Replicate high-density rat genome oligonucleotide microarrays reveal hundreds of regulated genes in the dorsal root ganglion after peripheral nerve injury. BMC Neurosci. 2002, 3: 16-10.1186/1471-2202-3-16.PubMed CentralPubMedGoogle Scholar
- Tanabe K, Bonilla I, Winkles JA, Strittmatter SM: Fibroblast growth factor-inducible-14 is induced in axotomized neurons and promotes neurite outgrowth. J Neurosci: Offic J Soc Neurosci. 2003, 23 (29): 9675-9686.Google Scholar
- Fan M, Mi R, Yew DT, Chan WY: Analysis of gene expression following sciatic nerve crush and spinal cord hemisection in the mouse by microarray expression profiling. Cell Mol Neurobiol. 2001, 21 (5): 497-508. 10.1023/A:1013867306555.PubMedGoogle Scholar
- Kuo LT, Tsai SY, Groves MJ, An SF, Scaravilli F: Gene expression profile in rat dorsal root ganglion following sciatic nerve injury and systemic neurotrophin-3 administration. J Mol Neurosci. 2011, 43 (3): 503-515. 10.1007/s12031-010-9473-3.PubMedGoogle Scholar
- MacGillavry HD, Cornelis J, van der Kallen LR, Sassen MM, Verhaagen J, Smit AB, van Kesteren RE: Genome-wide gene expression and promoter binding analysis identifies NFIL3 as a repressor of C/EBP target genes in neuronal outgrowth. Mol Cell Neurosci. 2011, 46 (2): 460-468. 10.1016/j.mcn.2010.11.011.PubMedGoogle Scholar
- Ahmed Z, Douglas MR, Read ML, Berry M, Logan A: Citron kinase regulates axon growth through a pathway that converges on cofilin downstream of RhoA. Neurobiol Dis. 2011, 41 (2): 421-429. 10.1016/j.nbd.2010.10.012.PubMedGoogle Scholar
- Szpara ML, Vranizan K, Tai YC, Goodman CS, Speed TP, Ngai J: Analysis of gene expression during neurite outgrowth and regeneration. BMC Neurosci. 2007, 8: 100-10.1186/1471-2202-8-100.PubMed CentralPubMedGoogle Scholar
- Tucker BA, Rahimtula M, Mearow KM: A procedure for selecting and culturing subpopulations of neurons from rat dorsal root ganglia using magnetic beads. Brain Res Brain Res Protoc. 2005, 16 (1–3): 50-57.PubMedGoogle Scholar
- Kashiba H, Uchida Y, Senba E: Difference in binding by isolectin B4 to trkA and c-ret mRNA-expressing neurons in rat sensory ganglia. Brain Res Mol Brain Res. 2001, 95 (1–2): 18-26.PubMedGoogle Scholar
- Lau P, Amadou C, Brun H, Rouillon V, McLaren F, Le Rolle AF, Graham M, Butcher GW, Joly E: Characterisation of RT1-E2, a multigenic family of highly conserved rat non-classical MHC class I molecules initially identified in cells from immunoprivileged sites. BMC Immunol. 2003, 4: 7-10.1186/1471-2172-4-7.PubMed CentralPubMedGoogle Scholar
- Evans AR, Euteneuer S, Chavez E, Mullen LM, Hui EE, Bhatia SN, Ryan AF: Laminin and fibronectin modulate inner ear spiral ganglion neurite outgrowth in an in vitro alternate choice assay. Dev Neurobiol. 2007, 67 (13): 1721-1730. 10.1002/dneu.20540.PubMedGoogle Scholar
- Armstrong SJ, Wiberg M, Terenghi G, Kingham PJ: ECM molecules mediate both Schwann cell proliferation and activation to enhance neurite outgrowth. Tissue Eng. 2007, 13 (12): 2863-2870. 10.1089/ten.2007.0055.PubMedGoogle Scholar
- Gardiner NJ, Moffatt S, Fernyhough P, Humphries MJ, Streuli CH, Tomlinson DR: Preconditioning injury-induced neurite outgrowth of adult rat sensory neurons on fibronectin is mediated by mobilisation of axonal alpha5 integrin. Mol Cell Neurosci. 2007, 35 (2): 249-260. 10.1016/j.mcn.2007.02.020.PubMedGoogle Scholar
- Zhao Y, Li L, Dai J: Schwann cells and fibronectin treating lesioned spinal cord of adult rats. Chin J Traumatol. 1999, 2 (2): 110-114.PubMedGoogle Scholar
- Vogelezang M, Forster UB, Han J, Ginsberg MH, ffrench-Constant C: Neurite outgrowth on a fibronectin isoform expressed during peripheral nerve regeneration is mediated by the interaction of paxillin with alpha4beta1 integrins. BMC Neurosci. 2007, 8: 44-10.1186/1471-2202-8-44.PubMed CentralPubMedGoogle Scholar
- Kirsch M, Campos Friz M, Vougioukas VI, Hofmann HD: Wallerian degeneration and axonal regeneration after sciatic nerve crush are altered in ICAM-1-deficient mice. Cell Tissue Res. 2009, 338 (1): 19-28. 10.1007/s00441-009-0837-3.PubMedGoogle Scholar
- Siconolfi LB, Seeds NW: Induction of the plasminogen activator system accompanies peripheral nerve regeneration after sciatic nerve crush. J Neurosci: Offic J Soc Neurosci. 2001, 21 (12): 4336-4347.Google Scholar
- Minor K, Phillips J, Seeds NW: Tissue plasminogen activator promotes axonal outgrowth on CNS myelin after conditioned injury. J Neurochem. 2009, 109 (3): 706-715. 10.1111/j.1471-4159.2009.05977.x.PubMedGoogle Scholar
- Chae S, Jun HO, Lee EG, Yang SJ, Lee DC, Jung JK, Park KC, Yeom YI, Kim KW: Osteopontin splice variants differentially modulate the migratory activity of hepatocellular carcinoma cell lines. Int J Oncol. 2009, 35 (6): 1409-1416.PubMedGoogle Scholar
- Luther T, Kotzsch M, Meye A, Langerholc T, Fussel S, Olbricht N, Albrecht S, Ockert D, Muehlenweg B, Friedrich K: Identification of a novel urokinase receptor splice variant and its prognostic relevance in breast cancer. Thromb Haemost. 2003, 89 (4): 705-717.PubMedGoogle Scholar
- Greenbaum D, Colangelo C, Williams K, Gerstein M: Comparing protein abundance and mRNA expression levels on a genomic scale. Genome Biol. 2003, 4 (9): 117-10.1186/gb-2003-4-9-117.PubMed CentralPubMedGoogle Scholar
- Waters KM, Pounds JG, Thrall BD: Data merging for integrated microarray and proteomic analysis. Brief Funct Genomic Proteomic. 2006, 5 (4): 261-272. 10.1093/bfgp/ell019.PubMedGoogle Scholar
- Hayden SM, Seeds NW: Modulated expression of plasminogen activator system components in cultured cells from dissociated mouse dorsal root ganglia. J Neurosci: Offic J Soc Neurosci. 1996, 16 (7): 2307-2317.Google Scholar
- Weidle UH, Maisel D, Klostermann S, Weiss EH, Schmitt M: Differential splicing generates new transmembrane receptor and extracellular matrix-related targets for antibody-based therapy of cancer. Cancer Genomics Proteomics. 2011, 8 (5): 211-226.PubMedGoogle Scholar
- Scuteri A, Ravasi M, Pasini S, Bossi M, Tredici G: Mesenchymal stem cells support dorsal root ganglion neurons survival by inhibiting the metalloproteinase pathway. Neuroscience. 2011, 172: 12-19.PubMedGoogle Scholar
- Tsirka SE: Tissue plasminogen activator as a modulator of neuronal survival and function. Biochem Soc Trans. 2002, 30 (2): 222-225.PubMedGoogle Scholar
- Bukhari N, Torres L, Robinson JK, Tsirka SE: Axonal regrowth after spinal cord injury via chondroitinase and the tissue plasminogen activator (tPA)/plasmin system. J Neurosci: Offic J Soc Neurosci. 2011, 31 (42): 14931-14943. 10.1523/JNEUROSCI.3339-11.2011.Google Scholar
- Gutierrez-Fernandez A, Gingles NA, Bai H, Castellino FJ, Parmer RJ, Miles LA: Plasminogen enhances neuritogenesis on laminin-1. J Neurosci: Offic J Soc Neurosci. 2009, 29 (40): 12393-12400. 10.1523/JNEUROSCI.3553-09.2009.Google Scholar
- Ploug M: Structure-function relationships in the interaction between the urokinase-type plasminogen activator and its receptor. Curr Pharm Des. 2003, 9 (19): 1499-1528. 10.2174/1381612033454630.PubMedGoogle Scholar
- Andreasen PA, Egelund R, Petersen HH: The plasminogen activation system in tumor growth, invasion, and metastasis. Cell Mol Life Sci. 2000, 57 (1): 25-40. 10.1007/s000180050497.PubMedGoogle Scholar
- Su F, Kozak KR, Herschman H, Reddy ST, Farias-Eisner R: Characterization of the rat urokinase plasminogen activator receptor promoter in PC12 cells. J Neurosci Res. 2007, 85 (9): 1952-1958. 10.1002/jnr.21296.PubMedGoogle Scholar
- Degryse B, Resnati M, Czekay RP, Loskutoff DJ, Blasi F: Domain 2 of the urokinase receptor contains an integrin-interacting epitope with intrinsic signaling activity: generation of a new integrin inhibitor. J Biol Chem. 2005, 280 (26): 24792-24803. 10.1074/jbc.M413954200.PubMedGoogle Scholar
- Wei Y, Czekay RP, Robillard L, Kugler MC, Zhang F, Kim KK, Xiong JP, Humphries MJ, Chapman HA: Regulation of alpha5beta1 integrin conformation and function by urokinase receptor binding. J Cell Biol. 2005, 168 (3): 501-511. 10.1083/jcb.200404112.PubMed CentralPubMedGoogle Scholar
- Aguirre Ghiso JA, Kovalski K, Ossowski L: Tumor dormancy induced by downregulation of urokinase receptor in human carcinoma involves integrin and MAPK signaling. J Cell Biol. 1999, 147 (1): 89-104. 10.1083/jcb.147.1.89.PubMedGoogle Scholar
- Pollanen J, Hedman K, Nielsen LS, Dano K, Vaheri A: Ultrastructural localization of plasma membrane-associated urokinase-type plasminogen activator at focal contacts. J Cell Biol. 1988, 106 (1): 87-95. 10.1083/jcb.106.1.87.PubMedGoogle Scholar
- Yebra M, Goretzki L, Pfeifer M, Mueller BM: Urokinase-type plasminogen activator binding to its receptor stimulates tumor cell migration by enhancing integrin-mediated signal transduction. Exp Cell Res. 1999, 250 (1): 231-240. 10.1006/excr.1999.4510.PubMedGoogle Scholar
- Ossowski L, Aguirre-Ghiso JA: Urokinase receptor and integrin partnership: coordination of signaling for cell adhesion, migration and growth. Curr Opin Cell Biol. 2000, 12 (5): 613-620. 10.1016/S0955-0674(00)00140-X.PubMedGoogle Scholar
- Wei Y, Lukashev M, Simon DI, Bodary SC, Rosenberg S, Doyle MV, Chapman HA: Regulation of integrin function by the urokinase receptor. Science. 1996, 273 (5281): 1551-1555. 10.1126/science.273.5281.1551.PubMedGoogle Scholar
- Nguyen DH, Catling AD, Webb DJ, Sankovic M, Walker LA, Somlyo AV, Weber MJ, Gonias SL: Myosin light chain kinase functions downstream of Ras/ERK to promote migration of urokinase-type plasminogen activator-stimulated cells in an integrin-selective manner. J Cell Biol. 1999, 146 (1): 149-164. 10.1083/jcb.146.1.149.PubMed CentralPubMedGoogle Scholar
- Siconolfi LB, Seeds NW: Mice lacking tissue plasminogen activator and urokinase plasminogen activator genes show attenuated matrix metalloproteases activity after sciatic nerve crush. J Neurosci Res. 2003, 74 (3): 430-434. 10.1002/jnr.10786.PubMedGoogle Scholar
- Ekstrom PA, Mayer U, Panjwani A, Pountney D, Pizzey J, Tonge DA: Involvement of alpha7beta1 integrin in the conditioning-lesion effect on sensory axon regeneration. Mol Cell Neurosci. 2003, 22 (3): 383-395. 10.1016/S1044-7431(02)00034-9.PubMedGoogle Scholar
- Wallquist W, Zelano J, Plantman S, Kaufman SJ, Cullheim S, Hammarberg H: Dorsal root ganglion neurons up-regulate the expression of laminin-associated integrins after peripheral but not central axotomy. J Comp Neurol. 2004, 480 (2): 162-169. 10.1002/cne.20345.PubMedGoogle Scholar
- Murphy G, Gavrilovic J: Proteolysis and cell migration: creating a path?. Curr Opin Cell Biol. 1999, 11 (5): 614-621. 10.1016/S0955-0674(99)00022-8.PubMedGoogle Scholar
- Shi F, Sottile J: MT1-MMP regulates the turnover and endocytosis of extracellular matrix fibronectin. J Cell Sci. 2011, 124 (Pt 23): 4039-4050.PubMed CentralPubMedGoogle Scholar
- Berditchevski F, Chang S, Bodorova J, Hemler ME: Generation of monoclonal antibodies to integrin-associated proteins. Evidence that alpha3beta1 complexes with EMMPRIN/basigin/OX47/M6. J Biol Chem. 1997, 272 (46): 29174-29180. 10.1074/jbc.272.46.29174.PubMedGoogle Scholar
- Gabison EE, Hoang-Xuan T, Mauviel A, Menashi S: EMMPRIN/CD147, an MMP modulator in cancer, development and tissue repair. Biochimie. 2005, 87 (3–4): 361-368.PubMedGoogle Scholar
- Jouneau S, Khorasani N, DE Souza P, Macedo P, Zhu J, Bhavsar PK, Chung KF: EMMPRIN (CD147) regulation of MMP-9 in bronchial epithelial cells in COPD. Respirology. 2011, 16 (4): 705-712. 10.1111/j.1440-1843.2011.01960.x.PubMedGoogle Scholar
- Curtin KD, Wyman RJ, Meinertzhagen IA: Basigin/EMMPRIN/CD147 mediates neuron-glia interactions in the optic lamina of Drosophila. Glia. 2007, 55 (15): 1542-1553. 10.1002/glia.20568.PubMedGoogle Scholar
- Thams S, Oliveira A, Cullheim S: MHC class I expression and synaptic plasticity after nerve lesion. Brain Res Rev. 2008, 57 (1): 265-269. 10.1016/j.brainresrev.2007.06.016.PubMedGoogle Scholar
- Sarvari M, Hrabovszky E, Kallo I, Solymosi N, Toth K, Liko I, Szeles J, Maho S, Molnar B, Liposits Z: Estrogens regulate neuroinflammatory genes via estrogen receptors alpha and beta in the frontal cortex of middle-aged female rats. J Neuroinflammation. 2011, 8: 82-10.1186/1742-2094-8-82.PubMed CentralPubMedGoogle Scholar
- Muir D: The potentiation of peripheral nerve sheaths in regeneration and repair. Exp Neurol. 2010, 223 (1): 102-111. 10.1016/j.expneurol.2009.05.038.PubMedGoogle Scholar