New interaction partners for Nek4.1 and Nek4.2 isoforms: from the DNA damage response to RNA splicing
© Basei et al.; licensee BioMed Central. 2015
Received: 4 April 2014
Accepted: 9 February 2015
Published: 26 February 2015
Neks are serine-threonine kinases that are similar to NIMA, a protein found in Aspergillus nidulans which is essential for cell division. In humans there are eleven Neks which are involved in different biological functions besides the cell cycle control. Nek4 is one of the largest members of the Nek family and has been related to the primary cilia formation and in DNA damage response. However, its substrates and interaction partners are still unknown. In an attempt to better understand the role of Nek4, we performed an interactomics study to find new biological processes in which Nek4 is involved. We also described a novel Nek4 isoform which lacks a region of 46 amino acids derived from an insertion of an Alu sequence and showed the interactomics profile of these two Nek4 proteins.
Results and discussion
Isoform 1 and isoform 2 of Nek4 were expressed in human cells and after an immunoprecipitation followed by mass spectrometry, 474 interacting proteins were identified for isoform 1 and 149 for isoform 2 of Nek4. About 68% of isoform 2 potential interactors (102 proteins) are common between the two Nek4 isoforms. Our results reinforce Nek4 involvement in the DNA damage response, cilia maintenance and microtubule stabilization, and raise the possibility of new functional contexts, including apoptosis signaling, stress response, translation, protein quality control and, most intriguingly, RNA splicing. We show for the first time an unexpected difference between both Nek4 isoforms in RNA splicing control. Among the interacting partners, we found important proteins such as ANT3, Whirlin, PCNA, 14-3-3ε, SRSF1, SRSF2, SRPK1 and hNRNPs proteins.
This study provides new insights into Nek4 functions, identifying new interaction partners and further suggests an interesting difference between isoform 1 and isoform 2 of this kinase. Nek4 isoform 1 may have similar roles compared to other Neks and these roles are not all preserved in isoform 2. Besides, in some processes, both isoforms showed opposite effects, indicating a possible fine controlled regulation.
KeywordsNeks Interactomics DNA damage response Apoptosis mRNA processing
Neks (NIMA-related kinases) are a group of serine-threonine kinases that are related to NIMA, their ortholog from Aspergillus nidulans, which is essential for cells to enter in mitosis. Human Neks show around 40% amino acid sequence similarity in their kinase domains with NIMA. While in Aspergillus nidulans there is only one NIMA, in humans there are eleven proteins that constitute the Nek family and that diverge in their N-terminal and specially C-terminal regulatory domains from NIMA [1,2]. For this reason, it has been speculated that human Neks show additional and diversified biological functions besides cell cycle control . Until recently the only in depth studied Neks were Nek1, 2, 6, 7 and 9. All of these, except Nek1, are related to mitosis progression and the regulation of centrosome separation [4-6]. Nek1 has been described to be involved in the primary cilia formation [7,8], DNA damage response [8-11] and recently in apoptosis signaling [3,12,13].
Nek4, initially named as STK2 , is one of the largest human Nek proteins, constituted by an N-terminal kinase domain and a C-terminal regulatory domain. The human Nek4 gene is located on chromosome 3p21.1 and is transcribed into a ~4 kb mRNA, encoding an 841 residues protein .
The biological role of Nek4 is still not well understood. Some reports have already excluded the importance of Nek4 for cell cycle control [16,17] and others have demonstrated that Nek4 can display other functions, such as regulation of microtubule stability, primary cilium assembly, and association to replicative senescence and DNA damage response [16-18] shown also by other Neks, mainly, Nek1, Nek8 and Nek11 [9-11,19-22].
In an attempt to better characterize the Nek4 protein interactome and its possible functions, we obtained its cDNA from the human cell line HEK293T and performed a Nek4 immunoprecipitation followed by mass spectrometry (IP-MS) assay. We report here new insights into Nek4 functions, including its novel isoform, amplified by us. We also describe functional assays that reinforce Nek4 involvement in the DNA damage response and show for the first time an unexpected difference between both Nek4 isoforms in RNA splicing control.
Results and discussion
Identification of a novel Nek4 isoform
Nek4 was initially identified by Cance and co-workers  as STK2, from Serine/Threonine kinase 2, in a study using a kinase specific cDNA library from human breast cancer tumors or breast cancer cells. In that study they observed that STK2 showed homology to Aspergillus nidulans NIMA protein and its expression was observed at widely variable levels in human breast tumors. Later, Levedakou and co-workers  also isolated STK2 from a breast cancer cell line. Additionally, Levedakou and co-workers characterized the STK2 cell cycle expression profile as well as its tissue specificity, showing that this kinase is expressed in high levels, but not exclusively, in the heart and its mRNA levels are not cell cycle-dependent. After studies with murine STK2 [23,24], these proteins started to be renamed correctly as Nek4.
As the information about Nek4 biological functions and protein interactome is scarce, we performed an IP-MS experiment with a stable cell line for Nek4 isoforms expression (Figure 1C) to obtain insights in the biological context in which this protein is involved. Interestingly, Nek4.2 showed about 68% of its potential interactors (102 proteins) in common with Nek4.1. Moreover, the number of partners identified for Nek4.1 (474) was three times greater than the obtained for Nek4.2 (150) (Figure 1D), pointing out that Nek4.1 may execute other functions in the cell, mediated by different interaction partners (Additional file 1).
On the other hand, the difference in the number of interaction partners found among both Nek4 isoforms may also be attributed to different levels of protein expression. Nek4.2 mRNA or protein could be less stable and, in this way, a smaller number of interactors were identified compared to Nek4.1. In Nek4, the Alu sequence was recently acquired, since both Nek4 isoforms are described for other genera from the Hominidea family, such as the chimpanzees (Pan troglodytes and Pan paniscus) and orangutans (Pongo abelii) but not for gorillas. For gorillas, such as for the more distant families like Hylobatidae, the only described coding sequence for Nek4 in the GeneBank is that corresponding to Nek4.2, indicating that this is most probably the ancestral isoform. Novel splice variants are initially free from selection pressure, as long as the original gene or mRNA remains functional and the variant is not disadvantageous. The novel splice variant can eventually become the constitutively spliced form . For this reason, another possible interpretation for the higher number of interactions for Nek4.1, would be that isoform 1 could be the novel splice form, which has acquired new interactors and possibly new functions in comparison to Nek4.2.
Interactomics suggests Nek4 involvement in different biological contexts
The in silico PPI (protein-protein interactions) automated analysis and manual annotation (e.g. cilium maintenance/assembly) of Nek4.1 functions shows 14 enriched biological processes. Nek4.2 shows 9 enriched different biological processes and among these, 3 processes – mRNA splicing, apoptosis and cell cycle checkpoint – were also enriched in Nek4.1 analyses. Interestingly, mRNA splicing and RNA metabolism in general, are functional contexts common to both isoforms that were not discovered for either Nek4 or other Nek family members, until very recently, when this function was assigned for Nek2 . Please see more details on this below.
Notably, some interesting Nek4 binding partners already described in the literature were also identified in our experiment. These include proteins such as: Fanton (RPGRIP1L)  and X-ray repair cross-complementing protein 6 (XRCC6)  or Ku70, thereby validating our results.
The identified Nek4 interacting proteins are localized in several cellular compartments, such as nucleus, mitochondria and endoplasmic reticulum. Nek4 shows a nuclear localization sequence (RRQKRREQTE) (NLS) in its regulatory domain with a high prediction score (NucPred predictor ), which has already been described previously . The following cellular localization experiments, fractionation and functional assay were performed to analyze the interactions identified in the IP-MS experiment. In the next sections we will explore four different biological contexts that Nek4 could be involved in according to its protein interaction profile.
Primary cilium functions
Human ciliopathies arise from defects in the primary cilium and can lead to obesity, retinal degeneration, polycystic kidney disease (PKD) and are also associated with a wide range of other morphological abnormalities . Nek4 has been functionally implicated in the regulation of primary cilium stability, which was already described to other Nek family members, Nek1 and Nek8 [7,20]. Coene and co-workers showed that Nek4 interacts with RPGR-interacting protein 1 (RPGRIP1) and RPGRIP1-like protein (RPGRIP1L) , both associated with ciliopathies. After Nek4 knockdown, the number of ciliated cells decreases. However, this effect is not related to either RPGRIP1 or RPGRIP1L phosphorylation, suggesting Nek4 may act rather like a scaffold in the context of these cilia signaling proteins .
Using immunofluorescence analysis we could also observe the same localization pattern for Nek4 and Whirlin (Figure 3B). Wright and co-workers showed that Whirlincolocalizes with RPGRORF15, a splicing variant of retinitis pigmentosa GTPase regulator (RPGR), in photoreceptor connecting cilia . In this context we have also identified two proteins involved in intraflagellar transport: Tetratricopeptide repeat protein 21 B (TTC21B) and Intraflagellar transport protein 172 homolog (IFT172) [32,33]. As we identified here different proteins important for cilia function, we believe that Nek4 could interact with a complex of proteins and, among them, some could also be Nek4 substrates. Clearly, more studies are necessary to better understand Nek4 role in this context and to identify its possible substrates.
In our IP-MS experiment we have identified several proteins related to the apoptotic process (Figure 2), such as Heat shock protein 75 kDa (TRAP1), Apoptosis-inducing factor 1 (AIFM1) and ANT3 (SLC25AC). ANT3 is an ADP/ATP translocator which could also be part of the mitochondria permeability transition pore (PTP) complex and may therefore participate in apoptosis [41,42]. Previously, another Nek family member, Nek1, was related to an anti-apoptotic mitochondrial-driven process . In that study, the authors found that Nek1 phosphorylates the membrane protein VDAC, another component of the PTP, in the cytoplasmic domain, thereby preventing the channel opening and release of Cytochrome c, required to initiate apoptosis.
DNA damage response
Recently, Nguyen and co-workers suggested a role for Nek4 in the DNA damage response (DDR) . In that study, Nek4-depleted cells were found to be resistant to enter in replicative senescence and also to agents that induce DNA double-breaks (etoposide, bleomycin and γ-irradiation). This is probably due to a decrease of γH2AX activation, which may result from an impaired recruitment of DNA-PKc, Ku70 or Ku80, all essential to the Non-Homologous End Joining response (NHEJ). The latter three proteins were identified in that study as interactors of Nek4 in IP-MS experiments.
Another interactor in the repair context is PCNA, a component of the Nucleotide Excision Repair (NER) pathway . NER is activated in response to pyrimidine dimer formation, usually caused by UV radiation or cisplatin adducts, among other stimuli . Although, we could not confirm neither the presence of PCNA in immunoprecipitates from Nek4 expressing cells (Additional file 2) nor in pre-purified phosphorylated proteins (Figure 5A, Anti-PCNA), the interaction may occur in a specific cellular situation and compartment. This hypothesis was confirmed after we exposed cells to UV irradiation. In non-irradiated cells PCNA showed a diffuse nuclear localization, but, after UV irradiation, PCNA was concentrated at damage foci and clearly colocalized with Nek4 (Figure 5B). This result suggests Nek4 involvement in DDR and in NER, besides NHEJ pathway.
Furthermore, we found a partial co-localization (30%) of Nek4 with PML bodies (Figure 5C), structures involved in the storage of DNA repair proteins. The number of the PML bodies increases after IR-induced DNA damage . The partial Nek4 localization in these structures suggests that Nek4 interacts with DNA repair proteins under specific conditions.
Therefore, we investigated whether Nek4 could modulate the splicing site selection of the adenoviral E1A minigene, a common assay to verify in vivo splicing regulation. Depending on the 5’-splice site selection, the E1A pre-mRNA may generate five isoforms: 13S, 12S, 11S, 10S, and 9S (Figure 6B) . The 9S, 12S and 13S isoforms can be easily monitored by RT-PCR followed by agarose gel analysis, where the intensity of each band in the gel directly correlates with the splicing site selection, which, in turn, reflects the positive or negative influence of regulatory proteins . Cells stably expressing Nek4.1 do not show shift of splicing site selection related to the negative control, but, remarkably, cells expressing Nek4.2 show a preference to more distal splicing sites, leading to the formation of the 13S isoform, with a concomitant reduction in 9S and 12S isoforms formation (Figure 6C and D). On the other hand, cells expressing the kinase dead mutant of Nek4.1 show an opposite effect, with an increase in 9S formation (Figure 6C and D). This difference observed between both isoforms may be attributed to differences among their interaction partners. While both Nek4 isoforms interacted with hNRNPA1, just isoform 2 interacted with SRSF1, SRSF2 and SRPK1 (Additional file 1), all important regulators of RNA splicing and frequently associated to the switch from the 13S to the 9S 5’ splice preference . Moreover, this result could indicate a cross-regulation between Nek4 isoforms, with a dominant negative interference effect mediated by the Nek4 kinase dead mutant in this regulation.
During this manuscript preparation, Naro and co-workers described the involvement of Nek2 on RNA splicing and in their study they found that Nek2 phosphorylates SRSF1 and modulates RNA splicing of apoptotic proteins . These results support our findings which included a novel function to Neks family.
Here we have characterized the interaction profile of Nek4 and its novel isoform. These results allow the confirmation and extension of the current knowledge on the biological processes in which Nek4 participates. This study shows that the novel isoform, Nek4.2, is involved in mRNA processing, apoptosis and transcription, all processes not yet explored for other Nek family members. Notably, Nek4.1, which contains an insertion in its regulatory domain, shares interactions and biological processes with isoform 2 but also holds functions already described for other Neks, such as DNA repair and cilia processes, and even other new functions, such as regulation of translation and cell adhesion, previously not described for Nek family members.
Our functional results reinforce Nek4 involvement in the DNA damage response, suggesting roles in different types of repair pathways, and, moreover, show an unexpected difference between both isoforms in RNA splicing control.
A better understanding of the Nek4 interactions shown here in its biological context requires an in-depth and detailed investigation. However, our findings are the first steps towards the elucidation of novel Nek4 roles and consist in the pieces of a big puzzle that need to be integrated. Further studies are necessary to dissect the real role of Nek4 in these novel functions described here, such as mRNA processing, apoptosis and also the connection between these processes.
The full length Nek4 [GenBankRefSeq: NM_003157.4] and its novel isoform sequence [GeneBank accession: KJ592714], named here as Nek4.1 and Nek4.2, respectively, were amplified by PCR from a human fetal brain cDNA library (Clontech) and cloned into the pcDNA5-FRT-TO vector between BamHI and NotI restriction sites. The occurrence of these isoforms was confirmed by RT-PCR amplification from HEK293 cells.
Cell culture and establishment of a stable cell line
HEK293T, HEK293 Flp-In T-REx® and HeLa cell lines were maintained in Dulbecco’s modified Eagle’s medium (DMEM, GIBCO) plus 10% FCS, supplemented with 2 mM L-Glutamine and 100 U/ml penicillin-streptomycin. Stable cell lines to Nek4 expression were generated from HEK293 Flp-In T-REx cells (Invitrogen), containing recombination sites. These cells were transfected with pcDNA5–FRT-TO vector containing codifying sequences to both Nek4 isoforms expression or empty vector fused to a Flag tag and a recombinase expression plasmid (pOG44) using Lipofectamine (Invitrogen). After selection with hygromycin (100 μg/mL), the clones were tested for Nek4 expression, induced by addition of tetracycline (500 ng/ml) in culture medium, using Western blot analysis.
RPE-hTERT cells were kindly provided by Dr. Joan Roig and were cultivated in DMEM/ F12 medium supplemented with 10% of FCS. Primary cilium induction was performed by serum starvation (20 h) in high confluence cultures.
Cell lyses and immunoprecipitation
In order to identify Nek4 binding partners, HEK293 Flp-In FRT cells were grown at 70% confluence in 175 cm2 flasks (5 flasks per condition) and then 500 ng/mL of tetracycline was added in culture medium. Cells were harvested 48 h after the induction with tetracycline. Pellets were washed with PBS and then centrifuged for 5 min at 450 g and resuspended in lysis buffer (50 mm Tris–HCl, pH 7.4, containing 150 mM NaCl, 1 mM EDTA, 1% Triton X-100) supplemented with protease inhibitor cocktail (Roche) and phosphatase inhibitors (2 mM Sodium Orthovanadate, 10 mM β-glycerophosphate, 1 mM Sodium Fluoride (Sigma)). After 30 min of incubation on ice, the cell lysates were centrifuged for 15 min at 12,000 g at 4°C to clear cell debris. Total protein concentration was determined by Bradford assay according to the manufacturer’s instruction (Sigma). Equal amount of cell lysates to each sample were incubated at 4°C overnight under gentle agitation with 150 μL of anti-FLAG M2 affinity gel (Sigma). The beads were washed three times with TBS buffer (150 mM Tris–HCl, pH 7.4 and 150 mM NaCl) and the complexes were eluted with 3x FLAG peptide (Sigma) at a final concentration of 150 ng/μL for 30 min at 4°C, under agitation. The eluate was analyzed by Western blot and mass spectrometry.
Eluted proteins were separated by SDS-PAGE in sample buffer (250 mM Tris-HCl pH 6,8; 0,8% SDS; 0,2% bromo-phenol blue; 45% glycerol; 20% 2-β-mercaptoethanol) and then transferred onto a 0.45 μm PVDF membrane (Millipore). After transfer, the membrane was blocked with TBS-T (TBS containing 0.1% of Tween 20) containing 5% non-fat milk. The primary antibody used were mouse anti-Flag M2 (Sigma 1:5000), mouse anti-PCNA (Cell Signaling 1:2000), goat anti-Nek4 (Santa Cruz Biotechnology 1:500), rabbit anti-beta-tubulin (Abcam 1:1000), mouse anti-Ku70 (Thermo Scientific 1:500), rabbit anti-GAPDH (Santa Cruz Biotechnology 1:500), rabbit anti-14-3-3ε (Thermo Scientific 1:5000), mouse anti-VDAC (Abcam 1:1000), mouse anti-SF2 (SRSF1) (Invitrogen 1:500) and the membrane was probed overnight at 4°C under gentle agitation. After the washing step with TBS-T, the membrane was incubated for 1 hour with species-specific horseradish peroxidase-conjugated secondary antibody: anti-mouse (Calbiochem, 1:5000 dilution), anti-goat or anti-rabbit (Sigma, 1:5000 dilution) antibodies. Some membranes were probed with phosphatase alkaline-conjugated secondary antibody (anti-rabbit from Sigma at 1:3000 dilution). The immunoreactive protein signals were developed using Luminol (Santa Cruz Biotechnology) and the membranes were exposed to photographic film (GE Healthcare) or to alkaline phosphatase substrate (BCIP/.NBT from Sigma-Aldrich). In addition, the protein bands were visualized in SDS-PAGE using silver staining.
The immune complexes (80-200 μg of protein) were reduced (500 μM dithiothreitol for 30 min at 56°C), alkylated (4 mM iodoacetamide for 30 min at room temperature in the dark), and digested with trypsin (Promega). The samples were dried in a vacuum concentrator and reconstituted in 20 μL of 0.1% formic acid. 4.5 μL of the resulting peptide mixture was analyzed on an ETD enabled LTQ Velos Orbitrap mass spectrometer (Thermo Fisher Scientific) coupled with LC-MS/MS by an EASY-nLC system (ProxeonBiosystem) through a Proxeon nano electrospray ion source or an RP-nanoUPLC (nano Acquity, Waters) coupled with a Q-Tof Ultima mass spectrometer (Waters).
All of the instrument methods for the LTQ Velos Orbitrap were set up in the data-dependent acquisition mode. Peak lists (msf) were generated from the raw data files using Proteome Discoverer version 1.3 (Thermo Fisher Scientific) with Sequest search engine against Swiss-Prot human database (released March 25Th2013), with carbamidomethylation (+57.021 Da) as the fixed modification and methionine oxidation (+15.995 Da) as variable modification, allowing one trypsin missed cleavage site and a tolerance of 10 ppm for precursor and 1 Da for fragment ions. The msf files generated by Proteome Discoverer software were analyzed in ScaffoldQ + v.3.3.2 (Proteome Software), with scoring parameters adjusted to obtain a false discovery rate less than 1%.
In the search performed using Mascot engine, only peptides with a minimum of five amino acid residues which showed significant threshold (p < 0.05) in Mascot-based score were considered in the results. The MS/MS assays were performed by the Mass Spectrometry Facility at Brazilian Biosciences National Laboratory (LNBio), CNPEM, Campinas, Brazil.
Mass spectrometry data analysis and In silico PPI analysis
To classify more reliable interactions, only exclusive proteins (no peptides in replicated Flag control samples) were considered. Some proteins already described in literature as Nek4 interaction partners were identified in only one replicate and, for this reason, proteins that were identified in only one replicate were also maintained on the subsequent analysis and were discriminated on Additional file 1 and Figure 2.
The retrieved Nek4.1 and Nek4.2 interacting partners from IP-MS were integrated in interaction networks using the Integrated Interactome System (IIS) platform, developed at National Laboratory of Biosciences, Brazil . The enriched biological processes from the Gene Ontology (GO, http://www.geneontology.org/) database were calculated in each network using the hypergeometric distribution . The interaction networks were visualized using Cytoscape 2.8.3 software .
In order to perform the image experiments, HeLa or HEK293T cells were grown in coverslips or on Cell Carrier 384 well plates coated with polylysine (Perkin Elmer) and fixed and permeabilized with ice cold methanol for 10 minutes at −20°C. Fixed cells were blocked in PBS-T (1X PBS, 0.1% Triton X-100, and 3% BSA) for 20 minutes and then incubated in the same buffer with primary antibodies: goat anti-Nek4 (SC5517), mouse anti-Nek4 (SC81332), mouse anit-whirlin (SC271939) or goat anti-PML (SC9863), from Santa Cruz Biotechnology, rabbit anti-14-3-3e (PA5-24165) or mouse anti-SLC25A6 (PA5-29199), from Thermo Scientific, and mouse anti-SC-35 (ab11826). Primary antibodies were detected in the same buffer for 20 minutes with secondary antibodies: donkey anti-goat Alexa Fluor 488, chicken anti-goat Alexa Fluor 488, chicken anti-mouse Alexa Fluor 546 or donkey anti-rabbit Alexa Fluor 546 from Invitrogen. DNA was stained with 4,6-diamidino-2-phenylindole (DAPI, 0.01 mg/ml) or Hoechst (0.06 mg/ml). Cells were visualized in non-confocal Operetta automated microscope (Perkin Elmer) or confocal Leica SP8, LSM780 NLO (Zeiss) using the 60x NA objective. The confocal acquisitions were performed at National Institute of Science and Technology on Photonics Applied to Cell Biology (INFABIC) or at LNBio. The images treatments were performed on Fiji software  or, when using Operetta microscope, the datasets were imported into Volocity for colocalization analysis and contrast correction.
Mutagenesis and Nek4 kinase dead generation
Kinase dead form of Nek4.1 (Nek4KD) was generated with QuickChange™ Site-Directed Mutagenesis Kit (Agilent Technologies) according to the manufacturer's recommendations. Codifying DNA to Nek4 isoform 1 was used as template to generate kinase dead mutant (K35/36 M). The primers used were 5’ GCGGGACGGCAGCAGTATGTCATCATGATGCTGAACCTCCGAAATGCC 3’ and 5’ GGCATTTCGGAGGTTCAGCATCATGATGACATACTGCTTGCCGTCCCGC 3’ (reverse) and the mutation confirmed by DNA sequencing. Then, as described before, stable cells were generated to express Nek4 KD Flag construct.
Phosphoproteins were purified from cells stably expressing the empty vector (Flag), Nek4.1 isoform, Nek4.2 isoform or Nek4KD mutant according to the manufacturer's instructions (Qiagen). Briefly, cells were lysed in the Lysis Buffer, and the cell lysate was centrifuged at 10,000 × g at 4°C for 30 min to remove insoluble material. After centrifugation, the protein concentration of the cell lysate was quantitated by Bradford assay, and an equal protein amount was applied to a Lysis Buffer-equilibrated phosphoprotein purification column at room temperature. The flow through representing non-phosphorylated proteins was collected and after washing the column with Lysis Buffer, the phosphoproteins were eluted with Phosphoprotein Elution Buffer. Equivalent amount of proteins were run in SDS-PAGE and a western blotting assay using specific antibodies was performed.
Minigene E1A RNA splicing assay
For the in vivo splicing analysis, HEK293 Flp-In cells stably expressing an empty vector (Flag), Nek4 isoforms (Nek4.1 F or Nek4.2 F) or a Nek4 kinase dead (Nek4KD) were transiently transfected with the minigene E1A encoding plasmid pMTE1A . After six hours of transfection the medium was changed and tetracycline was added to induce protein expression. The total RNA was extracted 48 h after the transfection with 1 mL of TRizol reagent (Life Technologies Corporation) according to the manufacturer’s protocol. cDNA synthesis was performed using oligo(dT) primer (Invitrogen) and the Moloney murine leukemia virus reverse transcriptase (Invitrogen) from 1 μg of total RNA. The PCRs were performed with the 5’-ATTATCTGCCACGGAGGTGT-3’(forward) and 5’-GGATAGCAGGCGCCATTTTA-3’ (reverse), as previously described . After separation of the amplification products containing GelRed (Biotium) on 3% agarose gels the band intensities were calculated using the software imageJ . The intensities of all isoforms were summed, set as 100%, and used to normalize the intensity of each band.
We acknowledge the Mass Spectrometry Facility at Brazilian Biosciences National Laboratory (LNBio), CNPEM, Campinas, Brazil, for their support on mass spectrometry analysis. This work was financially supported by Fundação de Amparo à Pesquisa do Estado São Paulo (FAPESP, Grants #2010/51730-0) and the Conselho Nacional de Pesquisa e Desenvolvimento (CNPq).
We thank the access to equipment and assistance provided by the National Institute of Science and Technology on Photonics Applied to Cell Biology (INFABIC) at the State University of Campinas; INFABIC is co-funded by Fundação de Amparo a Pesquisa do Estado de São Paulo (FAPESP) (08/57906-3) and ConselhoNacional de Desenvolvimento Cientifico e Tecnológico (CNPq) (573913/2008-0). We thank Silvio Roberto Consonni for his support with confocal microscopy data acquisition.
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