Journal of Biophysical Chemistry
Vol.5 No.3(2014), Article ID:47648,8 pages DOI:10.4236/jbpc.2014.53011

Intraflagellar Protein 88 Interactome Analysis: A Bioinformatics Approach Highlights Its Role in Testis and Sperm Function

Maria João Freitas, Margarida Fardilha

Signal Transduction Laboratory, Centre for Cell Biology, Health Sciences Department and Biology Department, University of Aveiro, Aveiro, Portugal

Email: mfardilha@ua.pt

Copyright © 2014 by authors and Scientific Research Publishing Inc.

This work is licensed under the Creative Commons Attribution International License (CC BY).

http://creativecommons.org/licenses/by/4.0/

Received 9 April 2014; revised 8 May 2014; accepted 9 June 2014

ABSTRACT

Intraflagellar transport (IFT) is essential for cilium and flagellar assembly. This movement is accomplished by two IFT complexes: A and B. IFT88, intraflagellar protein 88, is a core element of IFT complex B. This protein has been linked to migration, to olfactory function, spindle formation and to mitosis. Recently, IFT88 was identified as a TCTEX1D4 interacting protein in human testis, suggesting a role in male reproduction. To broaden the knowledge on IFT88 function, particularly in testis and spermatozoa, an in silico analysis of IFT88 and IFT88 interactome was undertaken. IFT88 appears to be prone to protein-protein interactions, involved in spermatogenesis and since it interacts with key proteins related to male fertility, it may have a role in reproduction.

Keywords:Intraflagellar Protein 88 Homolog, Spermatozoa, Network

1. Introduction

Intraflagellar transport (IFT) was described for the first time, in Chlamydomonas reinhardtii flagella, twenty years ago [1] . It is characterized by the bi-directional movement of cargo along the flagellum or cilium and is independent from the flagellar betting and essential for cilium and flagellar assembly [2] [3] . There are three essential components for the intraflagellar transport: 1) the microtubules provides the physical support for the movement; 2) the molecular motors, kinesin and dynein power the movement and 3) the IFT complexes mediate interactions between molecular motors and cellular cargos [4] .

The IFT complexes (A and B) are composed of combinations of at least 20 different IFT proteins [2] . Each IFT protein is essential for cilium assembly and function. The importance of these proteins in cellular functions is highlighted by ciliopathies, such as retinal degeneration and defective determination of the left-right axis [5] . The IFT-A complex appears to be essential for the retrograde transport [6] while IFT-B complex is the core of the IFT transport [2] . Besides the role in IFT transport, IFT proteins are crucial in ciliogenesis [7] and mitosis [8] .

Intraflagellar protein 88 (IFT88 or Tg737) is a core protein of the IFT-B complex [2] . It was first described associated with an autosomal recessive form of polycystic kidney disease [9] . The presence of some IFT88 polymorphisms enhances the probability of cystic renal diseases [10] . Recently, IFT88 has also been linked to migration and invasion of hepatoma cells [11] , to olfactory function [12] , spindle formation [8] , and to mitosis (a non-cilium function) [13] . Recently a yeast two hybrid screen performed in our laboratory revealed that, in testis, IFT88 interacts with TCTEX1D4 (t-complex testis expressed 1 domain containing 4), a dynein light chain from the DYNT1/TCTEX1 family [14] . TCTEX1D4 was first described as an interactor of several components of the TGFbeta pathway [15] . Yet Fardilha et al. identified TCTEX1D4 as a phosphoprotein phosphatase 1 interactor in human testis and Korrodi-Gregório showed that TCTEX1D4 is involved in microtubule organization. Thus, the data points to a role of IFT88 in spermatozoa, particularly in the flagellum.

Here propose an in silico approach to unravel putative functions for IFT88, particularly in testis and spermatozoa, and therefore understand its role in cell physiology.

2. Material and Methods

2.1. IFT88 in Silico Analysis

IFT 88 aminoacid sequence was retrieve from UniProt database and used for further protein sequence analysis. For secondary structure Eukaryotic Linear Motif (ELM) [16] and Psipredv3.3 (http://bioinf.cs.ucl.ac.uk/psipred/) were used. INTERPRO, ScanProsite [17] and SMART [18] (26. 2. 2014) analyzed the IFT88 sequence and determine possible structural domains (only scores with e-value smaller than 0.01, high confidence score and list in two of the three databases were considered). TPRpred was used to profile the representation of tetratrico peptide repeats (only scores with p-values lower that 0.01 were considered) [19] .

Several bioinformatics tools inferred the putative phosphorylation sites (02.02.2014): Diphos 1.3 (http://www.dabi.temple.edu/disphos/ ), NetPhosK [20] , NetPhos 2.0 [21] and ELM. Other putative post-modification, such glycosylation were searched through Prosite [22] ; ELM; NetNGlyc 1.0 (http://www.cbs.dtu.dk/services/NetNGlyc/), SignalP 1.4 [23] ; Myristoylator [24] and NMT (http://mendel.imp.ac.at/myristate/SUPLpredictor.html). Only results with scores above 0.7 and/or with high conservations scores were considered. Aminoacid absolute surface accessibility was analyzed by NetSurfP 1 [25] . PPP1 binding motifs were search using ScanProsite (3.2.2014).

2.2. IFT88 Interactome Analysis

IFT88 interactome was retrieved from several databases using the Psiquic View tool (30.1.2014) [26] . Thirtyeight interactors were obtained. IFT88 network was designed using Cytoscape 3.0.2. The interactions of each IFT88 interactor was retrieved using PSICQUICU niversal Client plugin (28.02.2014-IntAct, MINT and STRING databases) and only interactions between IFT88 interactors were considered. Expression of all IFT88 interactors plus protamine 2, a testis specific protein, was obtained from UNIGENE. Testis expression level of all TCTEX1D4 interacting proteins was converted to % of transcripts in testis. TissueNet database was used to recover testis expression of IFT88 interactors (both RNA and proteins levels) and putative identify testis specific interactions of IFT88 (25.2.2014). Phenotypes associated with IFT88 interactors were retrieved from Mouse Genome Informatics (MGI) (http://www.informatics.jax.org/) using the Uniprot ID and from Phenopedia using the keyword “male infertility” (4.2.2014). Biologic Process, Molecular Function and Cellular Component classification was obtained using the ClueGo v1.7.1. Only results with statistic significance were considered (p value corrected with Bonferroni < 0.01) and only experimental inferred data.

3. Results

3.1. In Silico Characterization of IFT88

A bioinformatic analysis of IFT88 was performed for the first time. The goal was to identify physiological relevant motifs and post-translational modifications for testis and spermatozoa function. Figure 1 shows that IFT88 is mainly a globular protein, according to ELM and Psipred. However the N-terminus and C-terminus are disordered (1 - 138 and 738 - 833). Curiously, the globular domain is formed only by alfa helixes. Regarding putative motifs in IFT88, two tetratricopeptide repeat-containing (TRP) domains were identified. The first domain is composed of three TRP repeats of TRP motifs while the second domain consists o 9 TPR motifs. ITF88 may be phosphorylated at the S612 and T497. Although S612 and T497 are localized in the globular domain-which makes them theoretically less accessible to phosphorylation-serine 612 presents an absolute surface accessibility of 0.72, which indicates a strong possibility of phosphorylation. According to NetPhosK, Ataxia telangiectasia mutated kinase is the proposed kinase to phosphorylate S612 and Protein kinase C is putatively responsible for T497 phosphorylation. No potential tyrosines phosphorylation sites were found. No other post-translational modifications were identified in IFT88. Two Phospho Protein Phosphatase 1 binding motifs were identified corresponding to a SILK (242 - 245) and a RVxF (260 - 264) motif [27] .

3.2. IFT88 Interactome Analysis

The IFT88 interactome was retrieve from several databases, using the Psiquic View tool. Table 1 lists the thirty eight identified interactors for IFT88, the protein-protein interaction (PPI) identification method and the Uniprot ID of each interactor. 76% of interactions were identified using indirect approaches (such as text mining and interlog mapping) while 24% were detected by direct methods (yeast two hybrid system and biochemical methods). It is noteworthy to mention that 21% of IFT88 interactors are members of the IFT family.

Figure 2 is a graphical representation of IFT88 network. It shows the direct interactions between all IFT88

Figure 1. Schematic representation of human IFT88. IFT88 presents three globular domains as well two TPR doamins. Putative phosphorylation sites and PPP1BM are also represented. ASA, absolute surface acessibility; ATM, ataxia telangiectasia mutated; PKB, protein kinase B; TPR, tetratricopeptide repeat; PPP1BM, PPP1 binding motif.

Figure 2. IFT88 network. The network was constructed using the software Cytoscape 3.0.2.

Table 1. Partial human IFT88 interactome. Interactors were retrieved from Psiquic View using the plugin PSICQUIC Universal Client from Cytoscape 3.0.2.

interactors. As it is possible to observe there are two groups in the network. The first is characterized by the interconnectivity between all IFT proteins, creating a subnetwork (triangle shape nodes). Also, in this group, kinesin-like protein 3A (KIF3A) interacts with four IFT protein. LATS2, HNF1B, C5orf4, CRYL1, TACC1, TCF7, PTGER2 and CYS1 compose the second group (circle shape nodes). Between these proteins there is high connectivity (one protein interacts with at least two other).

Testis expression of all IFT88 interactors plus protamine 2 (PRM2) was obtained. Protamine 2 is a testis-specific protein responsible for highly packing the spermatozoa DNA [28] . Since the purpose of the expression profile was to identify testis-specific proteins, PRM2 was used as a control. None of IFT88 interactors presents a profile similar to PRM2 and therefore none of the interactors is a testis-specific protein. Except for RFX2, which has a testis expression of 23%. All IFT88 interactors have less than 20% testis expression. To specify IFT88 interactions that can occur in testis, Tissue Net was used. Two IFT88 interactors were identified as occurring in human testis: PRRC2A and SMNDC1 (at RNA level), together with IFT88. With the purpose of further identify IFT88 interactors that have a crucial role in male fertility, a search in Mouse Genome Informatics and Phenopedia databases was performed. FGF8, FOXJ1, HNF1A, PDK1, PTGER2, SLC9A8, GLI3 and GLI2 when knock out in mouse present phenotypes that interfere with spermatogenesis, sperm cells physiology, histology and morphology of male reproductive system and therefore can be associated with male infertility. IFT88 network was characterized regarding Biological Process, Cellular Component and Molecular Function. Table 2 shows that only six proteins were classified and none in the molecular function category. Regarding Biological process urogenital system development is the most represented process. However, it is interesting that three proteins, FGF8, HNF1B and PDK1 are associated with reproduction, more specifically in sex differentiation. Furthermore, the only cellular component represented is the cilium, in which GLI3 and RPGR are putatively located.

Table 2. Biological process and cellular component of IFT88 interactors. The data was retrieved using the plugin ClueGo v1.7.1 from Cytoscape 3.0.2.

4. Discussion

IFT88 was first identified in the Chlamydomonas reinhardtii flagella [1] . Since then, IFT88 has been implicated in several processes, such as mitosis and migration. Nevertheless there is a lack of information regarding IFT88 function. To fill this gap, an in silico analysis of IFT88 structure and network was undertaken.

Two putative TP domains were identified in IFT88. TPR domains are composed of a degenerate 34-amino acid repeat motif that usually appears arrayed [29] . These domains are conserved throughout evolution, being identified in bacteria and humans. TPR are widespread in a high range of proteins and appear to be involved in distinct processes such as cell-cycle control, transcription and protein kinase regulation. The presence of TPR domains is correlated with protein-protein interactions (TPR-TPR interactions or TPR-nonTPR interactions) and assembly of multiprotein complexes [30] . The fact that IFT88 presents two domains hints a role in proteinprotein interactions, which is not surprising, since it is a central protein in the IFT complex B. However, only IFT172 presents also TPR domains. This may indicate that TPR domains are not necessary for the IFT complex B assembly but for binding of cargo to the IFT complex.

Two predicted phosphorylation sites may occur in IFT88, one is the S612 and the other in T497. However, theoretically, S612 is more prone to phosphorylation since it is more accessible. Serine 612 is putatively phosphorylated by protein telangiectasia mutated kinase (ATM). The knockout of ATM produces an infertility phenotype, characterized by impaired spermatogenesis [31] . The fact that IFT88 is putatively phosphorylated by ATM and has been described as crucial for mitosis [8] may hint a role in spermatogenesis.

An RVxF and SILK motifs, were identified in IFT88. RVxF motif is the best characterized PPP1BM. Most PPP1 interacting proteins present a RVxF. Curiously, the binding of RVxF does not affect the conformation and activity of PPP1 but promotes other interactions [32] . SILK motifs are normally N-terminal to RVxF motifs and influence the binding of other motifs, namely RVxF. The fact that IFT 88 presents both PPP1BM is a good hint for the possibility of being a PPP1 interactor protein.

IFT88 interactome was retrieve from several databases and TCTEX1D4 was added to the interactome since IFT88 was identified as a TCTEX1D4 interactor [14] . Most interactors were identified by indirect methods; therefore these interactions must be confirmed by direct methods. The fact that a quarter of IFT88 interactors are other IFT proteins and the interconnectivity between these proteins supports that IFT88 is part of an IFT complex. All IFT proteins identified are part of IFT complex B [2] , which strongly suggests that IFT88 is also present in IFT complex B (as described in the literature). Kinesin-like protein 3A (KIF3A) interacts with four IFT proteins. KIF3A, together with KIF3B forms a complex which is capable of anterograde transport of organelles through microtubules [33] . The interaction between IFT proteins and KIF3A suggests that this kinesin can transport the IFT complex through spermatozoa flagellum. A second subnetwork is identified in IFT88 interactome. The proteins that compose this subnetwork are involved, according to the literature, in cancer, renal disease and diabetes [34] -[42] . The interconnectivity between this proteins and the fact that IFT88 interacts with all of them may indicate the involvement of IFT88 in a common pathophysiological mechanism.

To give a biological meaning to IFT88 interactors in testis, testis expression, phenotypes associated, biological process, cellular localization and molecular function were analysed with three IFT88 interactors interesting results were obtained. FGF8 and PDK1 when knock out produce a infertility phenotype as well as appear to be involved in sex differentiation. On the other hand, GLI3, when knockout, also produces a infertility phenotype and appears to be localized in the flagellum. The fact that IFT88 interacts with these may indicate a role in male fertility.

5. Conclusion

IFT88 sequence and interactome in silico analysis were performed with the goal of identifying biological meaningful interactions in male reproductive functions. IFT88 is prone to protein-protein interactions since it presents TPR domains and is a part of the IFT complex B. Also, it is putative phosphorylated by ATM and presents two PPP1BM, being thus regulated by two proteins involved in spermatogenesis. The in silico analysis of IFT88 interactome allowed to infer that IFT88 may have a crucial role to male reproduction (FGF8, PDK1, GLI3). It is noteworthy to mention that many more interactors are still to identify, probably some with crucial roles in male fertility.

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