Abstract
Background:
Cholestatic disorders are divided in the extra and intra-hepatic that created due to the severe liver diseases. ABCB11 encodes the bile salt export pump and this gene is mutated in several forms of intrahepatic cholestasis. So far, some molecular features of this gene was studies.
Objective:
Using a developed web server, we identified high number of rare codons in this gene, and four cases were related to BSEP-deficient patients which can be used for drug design.
Material and Methods:
By in-silico modelling of ABCB11, some of rare codons in different locations of ATP8b1 gene were identified and evaluated. Using several web servers a number of mutations that converted non-rare codons to rare codon in these patients were identified.
Results:
Some of these rare Codons were located at special positions by mutation of which, the new side chains do not seem suitable for protein structure and function. Furthermore, this mutation changed the protein folding rate that may have a critical role in proper folding. Thus, primary change of these codons contributes to BSEP deficiency.
Conclusion:
This work is a comprehensive analysis of rare codons of ABCB11 and assessment of a number of these rare codon in protein levels. Rare codons evaluation can enhance our understanding of ABCB11 structural protein of ABCB11, and help us to develop mutation-specific therapies in design of new drugs.
Keywords: ABCB11 , Bioinformatics Analysis , Rare Codon , Mutation
Introduction
The bile salt export pump (BSEP, protein product of the ABCB11 gene) is situated in the canalicular membrane of hepatocytes and is responsible for the translocation of bile salts [1]. BSEP belongs to ABC transporter superfamily and has 12-transmembrane span integral membrane proteins. Mutations in ABCB11 are related to a phenotypical spectrum of cholestatic liver diseases. Cholestasis is created due to severe liver diseases where bile cannot flow from the liver to the duodenum [2]. The causes of cholestasis are divided into two groups: those originating outside the liver and those originating within the liver [3]. Some reasons of the cholestasis within the liver include cirrhosis due to viral hepatitis B or C, drugs, acute hepatitis, alcoholic liver disease, primary biliary cirrhosis with inflammation and scarring of the bile ducts [4]. At present, specific gene defects have been identified for PFIC2 which are caused by the deficient in gene product required for bile formation and canalicular export [2,5]. Previously, the molecular evaluation of these PFICs including exon characterization [6], locus mapping [7], sequencing [8] and gene mutations have been studied.
The rare codons that are introduced as genetic hidden information are shown to have a critical role in protein activity and folding, and can help in problem solving of diseases and drug design [9,10]. Codon-usage analysis can also contribute to understanding the interaction between RNA viruses and the immune response of the hosts [10]. Several mutations of ABCB11 associated with BSEP deficiency have previously been introduced [1,11]. However, there is no study about rare codons of ABCB11 gene, and in this study we evaluated the situation of these rare codons and variations in the structure of ABCB11. For this, by submission of PFIC3 gene in the I-TASSER server, a three dimensional model of BSEP protein was created [12]. In addition, rare codons of ABCB11 gene were detected using the Sherlocc program [13], LaTcOm (http://structure.biol.ucy.ac.cy/latcom.html) [14], ATGme [15] and RaCC server (http://nihserver.mbi.ucla.edu/RACC/). By PyMOL [16] and SPDBV software [17], the characteristics of these rare codons were studied in the 3D model of BSEP protein. In the following, these variations and their relationships with rare codon, were evaluated. In this study, a large number of genetic mutations of ABCB11gene were evaluated for their relations with rare codons and PFIC2 disease. Furthermore, some interesting results demonstrate that some of these mutations have a destructive effect on the structure of BSEP protein and result in PFIC2 disease. These findings help the elucidation of hidden information of this gene. The overall results of this study are thought to be useful in the design of new efficient drugs.
Material and Methods
Rare Codons Analysis
For bioinformatics analysis of ABCB11 gene, the nucleotide sequences and features of this gene were retrieved from http://www.ncbi.nlm.nih.gov/genome/. By use of nucleotide sequence of ABCB11 gene, rare codons of this gene were detected using the following servers. Rare codon calculator (RaCC) (http://nihserver.mbi.ucla.edu/RACC/) detected problematic residues as arginine (AGG, AGA, CGA), leucine (CTA), isoleucine (ATA) and proline (CCC). ATGme [15] detected rare codon in three steps: (i) Input of the ATP8b1 sequence; (ii) Input of the codon usage table of Homo sapiens [gbpri]: 93487 CDS’s (iii) Detection of rare codons. LaTcOm [14] reported three algorithms are implemented for the detection of rare codon clusters: i) % minimax algorithm, ii) sliding window approach and iii) a linear-time algorithm named MSS. Then, the RCC positions were visualized within the submitted sequences. Sherlocc’s program [13] detected rare codon clusters by retrieving the nucleotide sequence of proteins in each Pfam protein family alignments. By these servers, some rare codons were identified in the nucleotide sequences of ABCB11 gene.
Study of Rare Codons in the Structure of ABCB11
To evaluate the position of these new identified mutations and rare codon in the structure of BSEP protein, a 3D structure of BSEP was created in the I-TASSER web server [12] based on multiple-threading alignments by LOMETS [18]. Models with the best “Confidence Score” and Z-score were chosen by I-TASSER server. The best model with suitable Z-score and confidence was visualized using PyMOL [16] and Swiss PDB viewer [17]. With Expasy’s Prot Param (http://us.expasy.org/tools/ protparam.html) server, the total number of positive and negative residues, physico-chemical parameters, molecular weight and other features of this model were computed. Hydrogen bonds were also detected by PIC web server [19] and WHAT IF web server [20]. Finally, the situation and relationships of these mutations and rare codons were evaluated in the structure of BSEP.
Results
Preparation of Molecular Modelling Structure of ABCB11
For understanding the protein structure and function, preparation of 3D structure of protein is a vital process in biology [21]. Our studies show that heretofore has not been determined as the crystal structure of BSEP, and it is obligatory to provide the 3D model from this protein. For this, by submitting the sequence of ATP8B1 in I-TSSAR Web Server, 3D models of these proteins were obtained. The I-TSSAR Web Server generated five models and best model showed -1.82 values of overall C-score, 0.49±0.15 value of TM-Score and Exp. RMSD was 14.1±3.9 (Figure 1).
Figure1.

The ribbon diagram of BSEP protein modelled in I-TSSAR Web Servers.
In the following, the physiochemical properties of ATP8B1 protein model were calculated in ProtParam tool (Table 1) [22] [22].
Table 1.
In silico physico-chemical features of BSEP protein obtained from ProtParam tool.
| Parameters | ATP8b1 |
|---|---|
| Theoretical pI | 6.17 |
| Molecular weight | 146407.18 |
| Sequence length | 1321 |
| 1at 260 nm)* | 129370- 128120 |
| Asp + Glu | 143 |
| Arg + Lys | 135 |
| Instability index | 33.29 |
| Grand average of hydropathicity | 0.011 |
| Aliphatic index | 92.60 |
First number is based on the assumption that both cysteine residues form cystine and the second number that both cysteines are reduced.
Detection of Rare Codon Clusters
Using UniProt database (http://www.uniprot.org/), the Pfam accession number of BSEP protein was identified as PF00664 (ABC_membrane. 2 hits) and PF00005 (ABC_tran. 2 hits). Pfam is a comprehensive collection of protein domains and families [23]. These Pfam was analyzed in the Sherlocc program [13] and results show that any rare codon cluster was identified in these Pfam accession number of ABCB11 genes. Next, the nucleotide sequence of ABCB11 gene was analyzed in ATGme server [15]. Using the codon usage table of Homo sapiens [gbpri]: 93487 CDS’s (40662582 codons) (http://www.kazusa.or.jp/codon/cgi-bin/showcodon.cgi?species=9606), this gene was analyzed, and the rare and highly rare codons were shown and highlighted in orange and red, respectively (Figure 2). Moreover, GC and AT contents of this gene were GC%: 45.44, AT%:54.56, calculated by this server.
Figure2.

Schematic representation of the rare (orange) and highly rare (red) codons in ABCB11gene.
In the following, RaCC server was used. By introduction of problematic residue codons as Pro, Ile, Arg and Leu, this result was refined. This analysis shows that ABCB11 gene has 48 rare codons for Arg, 18 rare codons for Ile, 11 single rare codons for Leu and 11 rare codons for Pro (Figure 3). This analysis also showed that ABCB11 gene has two tandem double repeats of rare Arg codon.
Figure3.

Representation the rare codon of Arg, Leu, Ile, and Pro in the ABCB11 gene. These residues display in red, blue, green, orange, and red, respectively.
Later, by LaTcOm web tool rare codon clusters of this gene were detected [14]. In LaTcOm, three algorithms of MSS, sliding window and % MINMAX were employed. The reference codon usage table was used from CUTG database [24] these algorithms. Figure 4 shows the location of RCCs in this gene using these algorithms (Figure 4; A, B and C).
Figure4.

The representation of RCCs location in ABCB11 gene using MSS algorithm (A), minmax algorithm (B), and sliding window method (C).
These results demonstrate that MSS detected 6 clusters, Minmax detected 15 and sliding-window detected 10 clusters. It is important to note that the cluster length selected for MSS algorithms was 21 codons and for Minmax and sliding-window algorithms were 25 codons. The characteristics and position of these RCCs in the ABCB11 gene were calculated (data not shown).
Evaluation of some Mutation Associated with Rare Codons
Some mutations in ABCB11 gene which are responsible for PFIC2 disease were presented previously [1]. In Figure 5, a large number of these mutations were highlighted in red color. As seen, these mutations were scattered throughout the nucleotide sequence of ABCB11 gene. In the following, those rare codons which were associated with mutations in ABCB11 and responsible for PFIC2 disease were focused. In this figure, we show some of these mutations in relation to rare codons.
Figure5.

Schematic representation of the codon usage of ABCB11 gene and position of rare codons and mutations, highlighted in yellow and red, respectively.
Some of these mutations overlap rare codons and some of these mutations overlap the change of codons resulted in the production of new rare codons. After their comparison, these overlapping rare codons and new rare codons were structurally studied precisely. These rare codons identified in this study are located in different locations of BSEP protein structure (Table 2).
Table 2.
The 1-4 numbers are the position of rare codon in ABCB11 gene that mutated to the non-rare codon and 5-12 numbers are the position of non-rare codons that mutated to the rare codon in the PFIC2 patients and analyzed.
| Number | Exon | Nucleotide Change | Predicted Protein Effect | Location in Protein | Reference |
|---|---|---|---|---|---|
| 1 | 12 | c.1244G>A | R415Q | NBF | [25] |
| 2 | 12 | c.1295G>C | R432T | NBF | [26] |
| 3 | 13 | c.1409G>A | R470Q | Adj WA | [27] |
| 4 | 27 | c.3724C>A | L1242I | WB | [27] |
| 5 | 11 | c.1168G>C | A390P | NBF | [27] |
| 6 | 15 | c.1779T>A | S593R | NBF1 | [28] |
| 7 | 13 | c.1388C>T | T463I | WA | [27] |
| 8 | 18 | c.2130T>C | P710P | IC3 | [29] |
| 9 | 20-21 | c.2576C>G | T859R | IC4 | [27] |
| 10 | 22 | c.2776G>C | A926P | IC5 | [30] |
| 11 | 23 | c.2944G>A | G982R | TM11 | [31] |
| 12 | 25 | c.3346G>C | G1116R | WA | |
Analyzing the molecular model of BSEP showed that Arg415 residue (a residue with rare codon), forms a hydrogen bond with Gln414 (Figure 6). But, with mutation of Arg415 residue to Gln, this hydrogen bond was disrupted. The significance of this change is that this mutation caused BRIC disorder in these patients [25] (Figure 6). Furthermore, analyzing the 3D model of ATP8B1 structure in PIC server showed the interaction of these residues with other residues.
Figure6.

A) the ribbon diagram of BSEP protein, with location of Arg415 residue (rare codon). The Arg415415residue forms the hydrogen bond with Gln414 B) mutation Arg415 to Gln415.
Another missense mutation (1295 G>C) was also detected resulting in PFIC (Figure 7) [26]. In this mutation, the codon sequence of Arg432 (AGA as rare codon) changed to Thr432 (ACA). These original and substituted residues constitute hydrogen bonds with Ser431 as shown in Figure 7B. The significance of this change is that Arg432 is located in the interior space of BSEP protein channel, and this mutation caused BRIC disorder [26] (Figure 7).
Figure7.

A) the ribbon representation of BSEP protein, with location of Arg432 residue (rare codon). B) Mutation of Arg432 to Thr432.
Analyzing the ATP8B13D model showed that Arg470 residue (a residue with rare codon), forms a hydrogen bond with Leu467, Ile468, Ala472, Asp473, Asp485 and Gln466 (Figure 8). But, with mutation of Arg470 residue to Gln, some of these hydrogen bonds were disrupted. This mutation also caused BRIC disorder in patients with this mutation in the ABCB11 gene [27] (Figure 8).
Figure8.

A) the ribbon diagram of BSEP protein, with location of Arg470 residue (rare codon). The Arg470 residue forms the hydrogen bond with Asp473 B) mutation Arg470 to Gln470.
Another mutation (3724 C>A) was also detected that resulted to PFIC (Figure 9A) [27]. In this mutation, the codon sequence of Leu1242 (CTA as rare codon) changed to Ile1242 (ATA). These original and substituted residues constitute the hydrogen bonds with Ser431 shown in Figure 9B Ile1273.
Figure9.

A) The ribbon diagram of BSEP protein, with location of Leu1242 residue (rare codon). B) Mutation of Leu1242 to Ile1242.
Discussion
Three types of PFIC which are referred to autosomal-recessive liver disorders are related to mutations in hepatocellular transport-system genes [28-33]. Mutations in ABCB11 gene have a variety in phenotype of autosomal recessive cholestasis liver diseases [1]. Liver disease in BSEP deficiency attributes to intrahepatocytic accumulation of toxic bile salts and failed the secretion of toxic bile salts [29]. Our comprehensive evaluation of these ABCB11 mutations show that all of these mutations that are resulted in cholestasis liver diseases are scattered throughout the gene and are not concentrated in special regions of this gene. This tells that the protein structure and function of BSEP has a very high sensitivity to the mutations and structural changes. This shows that any mutation in this structure can have destructive effects on the structure and function of BSEP. Re-evaluation of this mutation can provide a new approach in the study of these patients and design of new drugs. In this regard, considering the hidden information as “rare” codons that are infrequently used by cells and the specific roles of these rare codons in the proper folding of proteins is critical.
We have previously conducted the identification of detection of rare codons and molecular modelling of some proteins in our lab and have a good experience in these techniques [34-39]. For better evaluation of ABCB11 gene in this study, the detecting and studying of rare codons were conducted. In the following, the relation of some ABCB11 mutation with rare codons was studied. For the detection of rare codons, the following web server was used. For Pfam detection, the UniProt database identified two Pfams for ABCB11 as PF00664 (ABC_membrane. 2 hits) and PF00005 (ABC_tran. 2 hits). These Pfams were analyzed in the Sherlocc program that identified no rare codon clusters in the ABCB11 gene. In the following, this sequence nucleotide of this gene was analyzed in the ATGme web server that detected the 69 rare codon and 10 highly rare codons that may have a critical role in proper folding of protein chain. In addition, this gene was analyzed in the RaCC server detecting 48 rare codons for Arg, 18 rare codons for Ile, 11 rare codon for Leu and 11 rare codons for Pro. Finally, using LaTcOm web tool, the RCCs of this gene were detected. Results showed a large number of RCCs in the ABCB11 gene in these three algorithms.
The overall evaluation of rare codons of ABCB11 gene showed a large number of rare codons and rare codon clusters. This connotes that the protein structure of ABCB11 has important hidden features that need to guarantee the proper folding of this protein. For this reason, a large number of rare codons slowly had done the overall folding rate of this pump so that the final protein has a correct structure and function. However, these results show a large number of the rare codons of Arg and with large number of non-covalent hydrogen bonds play a special role in the correct folding of ABCB11. Finally, we focus on some rare codons related to PFIC2. In this regard, 3D molecular modelling of ABCB11 was conducted in I-TSSAR Web Server.
The precise analysis reveals that four rare codons were mutated in PFIC2 disease. These four rare codons are distributed in different regions in the structure of BSEP protein (Figure 10).
Figure10.

A) The ribbon diagram of BSEP protein, with location of Ser539 residue. B) mutation Ser539 to Arg539 (rare codon). C) The ribbon diagram of BSEP protein, with location of Thr859 residue. D) mutation Thr859 to Arg859 (rare codon). E) The ribbon diagram of BSEP protein, with location of Gly982 residue. F) Mutation Gly982 to Arg982 (rare codon). G) The ribbon diagram of BSEP protein, with location of Gly1116 residue. H) Mutation Gly1116 to Arg1116 (rare codon).
Arg859 (rare codon). E) The ribbon diagram of BSEP protein, with location of Gly982 residue. F) Mutation Gly982 to Arg982 (rare codon). G) The ribbon diagram of BSEP protein, with location of Gly1116 residue. H) Mutation Gly1116 to Arg1116 (rare codon).
Structural analysis demonstrates that these rare codons form some hydrogen bonds with other residues disrupted with mutation in PFIC2 patients. This mutation with the disruption of these hydrogen bonds or change in the protein folding rate affects the protein folding that may disrupt the proper structure and function of ABCB11. It shows the critical role of these residues in the process of protein folding. However, other hypotheses should be considered too.
Table 2 shows new rare codons which are caused by some mutations of PFIC2 patients. In these patients, non-rare codons were converted to rare codons that interfere with suitable protein folding rate. These mutations change the hydrogen bond network affecting the structure and function of BSEP protein. On the other hand, these mutations changed the protein folding rate interfering with correct protein folding. Besides this, these new residues have a different side chain in comparison with original residues that may create the structural repulsion interfering with proper folding and functional activity of BSEP. Finally, these mutations either by change of folding rate or by change of hydrogen interaction have a negative effect on the BSEP and result in PFIC2 disease.
Conclusion
Meanwhile, some in-vivo and in-silico evidence as molecular docking and evaluating these mutations is needed for our theoretical study confirmation. Our data showed that rare codon positions might have an essential role in folding and activity of BSEP. This study may also provide new insights into drug design for the treatment of PFIC2, in the future.
Acknowledgement
The study was performed as a PhD thesis in shiraz University of Medical Sciences with grant No. of 93-7346.
Data Sharing Statement: All data were extracted from database of clinics and hospitals affiliated to Shiraz University of Medical Sciences.
Conflict of Interest:There is no conflict of interest for this study.
References
- 1.Byrne J A, Strautnieks S S, Ihrke G, Pagani F, Knisely A S, Linton K J, et al. Missense mutations and single nucleotide polymorphisms in ABCB11 impair bile salt export pump processing and function or disrupt pre-messenger RNA splicing. Hepatology. 2009;49:553–67. doi: 10.1002/hep.22683. [DOI] [PubMed] [Google Scholar]
- 2.Jacquemin E. Progressive familial intrahepatic cholestasis. Clinics and research in hepatology and gastroenterology. 2012;36:S26–S35. doi: 10.1016/S2210-7401(12)70018-9. [DOI] [PubMed] [Google Scholar]
- 3.Sira A M, Sira M M. Progressive familial intrahepatic cholestasis: INTECH Open Access Publisher; 2013. [Google Scholar]
- 4.Reichel C, Meier-Abt P J. Cholestatic liver diseases. Ther Umsch. 1997;54:639–44. [PubMed] [Google Scholar]
- 5.Engelmann G, Wenning D, Herebian D, Sander O, Droge C, Kluge S, et al. Two Case Reports of Successful Treatment of Cholestasis With Steroids in Patients With PFIC-2. Pediatrics. 2015;135:e1326–32. doi: 10.1542/peds.2014-2376. [DOI] [PubMed] [Google Scholar]
- 6.Fathy M, Kamal M, Al-Sharkawy M, Al-Karaksy H, Hassan N. Molecular characterization of exons 6, 8 and 9 of ABCB4 gene in children with Progressive Familial Intrahepatic Cholestasis type 3. Biomarkers. 2016;21:573–7. doi: 10.3109/1354750X.2016.1166264. [DOI] [PubMed] [Google Scholar]
- 7.Carlton V E, Knisely A S, Freimer N B. Mapping of a locus for progressive familial intrahepatic cholestasis (Byler disease) to 18q21-q22, the benign recurrent intrahepatic cholestasis region. Hum Mol Genet. 1995;4:1049–53. doi: 10.1093/hmg/4.6.1049. [DOI] [PubMed] [Google Scholar]
- 8.Dröge C, Kluge S, Häussinger D, Kubitz R, Keitel V. Sequencing of ATP8B1, ABCB11 and ABCB4 revealed 135 genetic variants in 374 unrelated patients with suspected intrahepatic cholestasis. Zeitschrift für Gastroenterologie. 2015;53:A3–27. [Google Scholar]
- 9.Kane J F. Effects of rare codon clusters on high-level expression of heterologous proteins in Escherichia coli. Curr Opin Biotechnol. 1995;6:494–500. doi: 10.1016/0958-1669(95)80082-4. [DOI] [PubMed] [Google Scholar]
- 10.Chartier M, Gaudreault F, Najmanovich R. Large-scale analysis of conserved rare codon clusters suggests an involvement in co-translational molecular recognition events. Bioinformatics. 2012;28:1438–45. doi: 10.1093/bioinformatics/bts149. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Giovannoni I, Callea F, Bellacchio E, Torre G, De Ville De Goyet J, Francalanci P. Genetics and Molecular Modeling of New Mutations of Familial Intrahepatic Cholestasis in a Single Italian Center. PLoS One. 2015;10:e0145021. doi: 10.1371/journal.pone.0145021. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zhang Y. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics. 2008;9:40. doi: 10.1186/1471-2105-9-40. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Thanaraj T A, Argos P. Protein secondary structural types are differentially coded on messenger RNA. Protein Sci. 1996;5:1973–83. doi: 10.1002/pro.5560051003. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Theodosiou A, Promponas V J. LaTcOm: a web server for visualizing rare codon clusters in coding sequences. Bioinformatics. 2012;28:591–2. doi: 10.1093/bioinformatics/btr706. [DOI] [PubMed] [Google Scholar]
- 15.Daniel E, Onwukwe G U, Wierenga R K, Quaggin S E, Vainio S J, Krause M. ATGme: Open-source web application for rare codon identification and custom DNA sequence optimization. BMC Bioinformatics. 2015;16:303. doi: 10.1186/s12859-015-0743-5. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wu S, Zhang Y. LOMETS: a local meta-threading-server for protein structure prediction. Nucleic Acids Res. 2007;35:3375–82. doi: 10.1093/nar/gkm251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.DeLano W L. The PyMOL molecular graphics system. San Carlos: PyMOL; 2002. [Google Scholar]
- 18.Kaplan W, Littlejohn TG. Swiss-PDB Viewer (Deep View) Brief Bioinform. 2001;2:195–7. doi: 10.1093/bib/2.2.195. [DOI] [PubMed] [Google Scholar]
- 19.Tina K, Bhadra R, Srinivasan N. PIC: Protein Interactions Calculator. Nucleic Acids Res. 2007:W473–6. doi: 10.1093/nar/gkm423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Vriend G. WHAT IF: a molecular modeling and drug design program. J Mol Graph. 1990;8:52–6, 29. doi: 10.1016/0263-7855(90)80070-v. [DOI] [PubMed] [Google Scholar]
- 21.Gruber A, Durham A, Huynh C, del Portillo H. Bioinformatics in tropical disease research: a practical and case-study approach. Bethesda (MD): National Library of Medicine (US), NCBI; 2008. [Google Scholar]
- 22.Gasteiger E, Hoogland C, Gattiker A, Duvaud Se, Wilkins M R, Appel R D, et al. Protein identification and analysis tools on the ExPASy server: Springer; 2005. [DOI] [PubMed] [Google Scholar]
- 23.Sonnhammer E L, Eddy S R, Durbin R. Pfam: a comprehensive database of protein domain families based on seed alignments. Proteins. 1997;28:405–20. doi: 10.1002/(SICI)1097-0134(199707)28:3<405::AID-PROT10>3.0.CO;2-L. [DOI] [PubMed] [Google Scholar]
- 24.Dong H, Nilsson L, Kurland C G. Co-variation of tRNA abundance and codon usage in Escherichia coli at different growth rates. J Mol Biol. 1996;260:649–63. doi: 10.1006/jmbi.1996.0428. [DOI] [PubMed] [Google Scholar]
- 25.Pauli-Magnus C, Lang T, Meier Y, Zodan-Marin T, Jung D, Breymann C, et al. Sequence analysis of bile salt export pump (ABCB11) and multidrug resistance p-glycoprotein 3 (ABCB4, MDR3) in patients with intrahepatic cholestasis of pregnancy. Pharmacogenetics. 2004;14:91–102. doi: 10.1097/00008571-200402000-00003. [DOI] [PubMed] [Google Scholar]
- 26.Noe J, Kullak-Ublick G A, Jochum W, Stieger B, Kerb R, Haberl M, et al. Impaired expression and function of the bile salt export pump due to three novel ABCB11 mutations in intrahepatic cholestasis. J Hepatol. 2005;43:536–43. doi: 10.1016/j.jhep.2005.05.020. [DOI] [PubMed] [Google Scholar]
- 27.Strautnieks S S, Byrne J A, Pawlikowska L, Cebecauerova D, Rayner A, Dutton L, et al. Severe bile salt export pump deficiency: 82 different ABCB11 mutations in 109 families. Gastroenterology. 2008;134:1203–14. doi: 10.1053/j.gastro.2008.01.038. [DOI] [PubMed] [Google Scholar]
- 28.Jansen P L, Strautnieks S S, Jacquemin E, Hadchouel M, Sokal E M, Hooiveld G J, et al. Hepatocanalicular bile salt export pump deficiency in patients with progressive familial intrahepatic cholestasis. Gastroenterology. 1999;117:1370–9. doi: 10.1016/S0016-5085(99)70287-8. [DOI] [PubMed] [Google Scholar]
- 29.Pauli-Magnus C, Kerb R, Fattinger K, Lang T, Anwald B, Kullak-Ublick G A, et al. BSEP and MDR3 haplotype structure in healthy Caucasians, primary biliary cirrhosis and primary sclerosing cholangitis. Hepatology. 2004;39:779–91. doi: 10.1002/hep.20159. [DOI] [PubMed] [Google Scholar]
- 30.Van Mil S W, van der Woerd W L, van der Brugge G, Sturm E, Jansen P L, Bull L N, et al. Benign recurrent intrahepatic cholestasis type 2 is caused by mutations in ABCB11. Gastroenterology. 2004;127:379–84. doi: 10.1053/j.gastro.2004.04.065. [DOI] [PubMed] [Google Scholar]
- 31.Strautnieks S S, Bull L N, Knisely A S, Kocoshis S A, Dahl N, Arnell H, et al. A gene encoding a liver-specific ABC transporter is mutated in progressive familial intrahepatic cholestasis. Nat Genet. 1998;20:233–8. doi: 10.1038/3034. [DOI] [PubMed] [Google Scholar]
- 32.Erlinger S, Arias I M, Dhumeaux D. Inherited disorders of bilirubin transport and conjugation: new insights into molecular mechanisms and consequences. Gastroenterology. 2014;146:1625–38. doi: 10.1053/j.gastro.2014.03.047. [DOI] [PubMed] [Google Scholar]
- 33.Nicolaou M, Andress E J, Zolnerciks J K, Dixon P H, Williamson C, Linton K J. Canalicular ABC transporters and liver disease. J Pathol. 2012;226:300–15. doi: 10.1002/path.3019. [DOI] [PubMed] [Google Scholar]
- 34.Bina S, Shenavar F, Khodadad M, Haghshenas M R, Mortazavi M, Fattahi M R, et al. Impact of RGD Peptide Tethering to IL24/mda-7 (Melanoma Differentiation Associated Gene-7) on Apoptosis Induction in Hepatocellular Carcinoma Cells. Asian Pac J Cancer Prev. 2015;16:6073–80. doi: 10.7314/APJCP.2015.16.14.6073. [DOI] [PubMed] [Google Scholar]
- 35.Fattahi M, Malekpour A, Mortazavi M, Safarpour A, Naseri N. The characteristics of rare codon clusters in the genome and proteins of hepatitis C virus; a bioinformatics look. Middle East J Dig Dis. 2014;6:214–27. [ PMC Free Article] [PMC free article] [PubMed] [Google Scholar]
- 36.Mortazavi M, Hosseinkhani S. Surface charge modification increases firefly luciferase rigidity without alteration in bioluminescence spectra. Enzyme Microb Technol. 2017;96:47–59. doi: 10.1016/j.enzmictec.2016.09.014. [DOI] [PubMed] [Google Scholar]
- 37.Mortazavi M, Hosseinkhani S. Design of thermostable luciferases through arginine saturation in solvent-exposed loops. Protein Eng Des Sel. 2011;24:893–903. doi: 10.1093/protein/gzr051. [DOI] [PubMed] [Google Scholar]
- 38.Mortazavi M, Zarenezhad M, Alavian S M, Gholamzadeh S, Malekpour A, Ghorbani M, et al. Bioinformatic Analysis of Codon Usage and Phylogenetic Relationships in Different Genotypes of the Hepatitis C Virus. Hepat Mon. 2016;16:e39196. doi: 10.5812/hepatmon.39196. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Mortazavi M, Zarenezhad M, Gholamzadeh S, Alavian S M, Ghorbani M, Dehghani R, et al. Bioinformatic Identification of Rare Codon Clusters (RCCs) in HBV Genome and Evaluation of RCCs in Proteins Structure of Hepatitis B Virus. Hepat Mon. 2016;16:e39909. doi: 10.5812/hepatmon.39909. [ PMC Free Article] [DOI] [PMC free article] [PubMed] [Google Scholar]
