28 research outputs found

    Arabidopsis Heat Stress-Induced Proteins Are Enriched in Electrostatically Charged Amino Acids and Intrinsically Disordered Regions

    Full text link
    [EN] Comparison of the proteins of thermophilic, mesophilic, and psychrophilic prokaryotes has revealed several features characteristic to proteins adapted to high temperatures, which increase their thermostability. These characteristics include a profusion of disulfide bonds, salt bridges, hydrogen bonds, and hydrophobic interactions, and a depletion in intrinsically disordered regions. It is unclear, however, whether such differences can also be observed in eukaryotic proteins or when comparing proteins that are adapted to temperatures that are more subtly different. When an organism is exposed to high temperatures, a subset of its proteins is overexpressed (heat-induced proteins), whereas others are either repressed (heat-repressed proteins) or remain unaffected. Here, we determine the expression levels of all genes in the eukaryotic model system Arabidopsis thaliana at 22 and 37 degrees C, and compare both the amino acid compositions and levels of intrinsic disorder of heat-induced and heat-repressed proteins. We show that, compared to heat-repressed proteins, heat-induced proteins are enriched in electrostatically charged amino acids and depleted in polar amino acids, mirroring thermophile proteins. However, in contrast with thermophile proteins, heat-induced proteins are enriched in intrinsically disordered regions, and depleted in hydrophobic amino acids. Our results indicate that temperature adaptation at the level of amino acid composition and intrinsic disorder can be observed not only in proteins of thermophilic organisms, but also in eukaryotic heat-induced proteins; the underlying adaptation pathways, however, are similar but not the same.D.A.-P. and F.F. were supported by funds from the University of Nevada, Reno, and by pilot grants from Nevada INBRE (P20GM103440) and the Smooth Muscle Plasticity COBRE from the University of Nevada, Reno (5P30GM110767-04), both funded by the National Institute of General Medical Sciences (National Institutes of Health). M.X.R.-G. and M.A.F. were supported by grants from Science Foundation Ireland (12/IP/1637) and the Spanish Ministerio de Economia y Competitividad, Spain (MINECO-FEDER; BFU201236346 and BFU2015-66073-P) to MAF. MXRG was supported by a JAE DOC fellowship from the MINECO, Spain. F.V.-S. and M.A.P.-A. were supported by grant BIO2014-55946-P from MINECO-FEDER.Alvarez-Ponce, D.; Ruiz-González, M.; Vera Sirera, FJ.; Feyertag, F.; Perez Amador, MA.; Fares Riaño, MA. (2018). Arabidopsis Heat Stress-Induced Proteins Are Enriched in Electrostatically Charged Amino Acids and Intrinsically Disordered Regions. International Journal of Molecular Sciences. 19(8). https://doi.org/10.3390/ijms19082276S198Karshikoff, A., & Ladenstein, R. (2001). Ion pairs and the thermotolerance of proteins from hyperthermophiles: a ‘traffic rule’ for hot roads. Trends in Biochemical Sciences, 26(9), 550-557. doi:10.1016/s0968-0004(01)01918-1Strop, P., & Mayo, S. L. (2000). Contribution of Surface Salt Bridges to Protein Stability†,‡. Biochemistry, 39(6), 1251-1255. doi:10.1021/bi992257jPERUTZ, M. F., & RAIDT, H. (1975). Stereochemical basis of heat stability in bacterial ferredoxins and in haemoglobin A2. Nature, 255(5505), 256-259. doi:10.1038/255256a0Argos, P., Rossmann, M. G., Grau, U. M., Zuber, H., Frank, G., & Tratschin, J. D. (1979). Thermal stability and protein structure. Biochemistry, 18(25), 5698-5703. doi:10.1021/bi00592a028Beeby, M., O’Connor, B. D., Ryttersgaard, C., Boutz, D. R., Perry, L. J., & Yeates, T. O. (2005). The Genomics of Disulfide Bonding and Protein Stabilization in Thermophiles. PLoS Biology, 3(9), e309. doi:10.1371/journal.pbio.0030309Haney, P. J., Badger, J. H., Buldak, G. L., Reich, C. I., Woese, C. R., & Olsen, G. J. (1999). Thermal adaptation analyzed by comparison of protein sequences from mesophilic and extremely thermophilic Methanococcus species. Proceedings of the National Academy of Sciences, 96(7), 3578-3583. doi:10.1073/pnas.96.7.3578Kreil, D. P. (2001). Identification of thermophilic species by the amino acid compositions deduced from their genomes. Nucleic Acids Research, 29(7), 1608-1615. doi:10.1093/nar/29.7.1608Tekaia, F., Yeramian, E., & Dujon, B. (2002). Amino acid composition of genomes, lifestyles of organisms, and evolutionary trends: a global picture with correspondence analysis. Gene, 297(1-2), 51-60. doi:10.1016/s0378-1119(02)00871-5Zeldovich, K. B., Berezovsky, I. N., & Shakhnovich, E. I. (2007). Protein and DNA Sequence Determinants of Thermophilic Adaptation. PLoS Computational Biology, 3(1), e5. doi:10.1371/journal.pcbi.0030005Chakravarty, S., & Varadarajan, R. (2000). Elucidation of determinants of protein stability through genome sequence analysis. FEBS Letters, 470(1), 65-69. doi:10.1016/s0014-5793(00)01267-9Cambillau, C., & Claverie, J.-M. (2000). Structural and Genomic Correlates of Hyperthermostability. Journal of Biological Chemistry, 275(42), 32383-32386. doi:10.1074/jbc.c000497200Burra, P. V., Kalmar, L., & Tompa, P. (2010). Reduction in Structural Disorder and Functional Complexity in the Thermal Adaptation of Prokaryotes. PLoS ONE, 5(8), e12069. doi:10.1371/journal.pone.0012069Wang, J., Yang, Y., Cao, Z., Li, Z., Zhao, H., & Zhou, Y. (2013). The Role of Semidisorder in Temperature Adaptation of Bacterial FlgM Proteins. Biophysical Journal, 105(11), 2598-2605. doi:10.1016/j.bpj.2013.10.026Vicedo, E., Schlessinger, A., & Rost, B. (2015). Environmental Pressure May Change the Composition Protein Disorder in Prokaryotes. PLOS ONE, 10(8), e0133990. doi:10.1371/journal.pone.0133990Galea, C. A., High, A. A., Obenauer, J. C., Mishra, A., Park, C.-G., Punta, M., … Kriwacki, R. W. (2009). Large-Scale Analysis of Thermostable, Mammalian Proteins Provides Insights into the Intrinsically Disordered Proteome. Journal of Proteome Research, 8(1), 211-226. doi:10.1021/pr800308vTsvetkov, P., Myers, N., Moscovitz, O., Sharon, M., Prilusky, J., & Shaul, Y. (2012). Thermo-resistant intrinsically disordered proteins are efficient 20S proteasome substrates. Mol. BioSyst., 8(1), 368-373. doi:10.1039/c1mb05283gGalea, C. A., Nourse, A., Wang, Y., Sivakolundu, S. G., Heller, W. T., & Kriwacki, R. W. (2008). Role of Intrinsic Flexibility in Signal Transduction Mediated by the Cell Cycle Regulator, p27Kip1. Journal of Molecular Biology, 376(3), 827-838. doi:10.1016/j.jmb.2007.12.016Van Noort, V., Bradatsch, B., Arumugam, M., Amlacher, S., Bange, G., Creevey, C., … Bork, P. (2013). Consistent mutational paths predict eukaryotic thermostability. BMC Evolutionary Biology, 13(1), 7. doi:10.1186/1471-2148-13-7Wang, G.-Z., & Lercher, M. J. (2010). Amino acid composition in endothermic vertebrates is biased in the same direction as in thermophilic prokaryotes. BMC Evolutionary Biology, 10(1), 263. doi:10.1186/1471-2148-10-263Windisch, H. S., Lucassen, M., & Frickenhaus, S. (2012). Evolutionary force in confamiliar marine vertebrates of different temperature realms: adaptive trends in zoarcid fish transcriptomes. BMC Genomics, 13(1), 549. doi:10.1186/1471-2164-13-549Albanèse, V., Yam, A. Y.-W., Baughman, J., Parnot, C., & Frydman, J. (2006). Systems Analyses Reveal Two Chaperone Networks with Distinct Functions in Eukaryotic Cells. Cell, 124(1), 75-88. doi:10.1016/j.cell.2005.11.039Berry, J., & Bjorkman, O. (1980). Photosynthetic Response and Adaptation to Temperature in Higher Plants. Annual Review of Plant Physiology, 31(1), 491-543. doi:10.1146/annurev.pp.31.060180.002423Sueoka, N. (1961). CORRELATION BETWEEN BASE COMPOSITION OF DEOXYRIBONUCLEIC ACID AND AMINO ACID COMPOSITION OF PROTEIN. Proceedings of the National Academy of Sciences, 47(8), 1141-1149. doi:10.1073/pnas.47.8.1141Cherry, J. L. (2009). Highly Expressed and Slowly Evolving Proteins Share Compositional Properties with Thermophilic Proteins. Molecular Biology and Evolution, 27(3), 735-741. doi:10.1093/molbev/msp270The amino acid composition is different between the cytoplasmic and extracellular sides in membrane proteins. (1992). FEBS Letters, 303(2-3), 141-146. doi:10.1016/0014-5793(92)80506-cNakashima, H., & Nishikawa, K. (1994). Discrimination of Intracellular and Extracellular Proteins Using Amino Acid Composition and Residue-pair Frequencies. Journal of Molecular Biology, 238(1), 54-61. doi:10.1006/jmbi.1994.1267Dosztanyi, Z., Csizmok, V., Tompa, P., & Simon, I. (2005). IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content. Bioinformatics, 21(16), 3433-3434. doi:10.1093/bioinformatics/bti541Peng, Z., Uversky, V. N., & Kurgan, L. (2016). Genes encoding intrinsic disorder in Eukaryota have high GC content. Intrinsically Disordered Proteins, 4(1), e1262225. doi:10.1080/21690707.2016.1262225Yruela, I., & Contreras-Moreira, B. (2013). Genetic recombination is associated with intrinsic disorder in plant proteomes. BMC Genomics, 14(1), 772. doi:10.1186/1471-2164-14-772Paliy, O., Gargac, S. M., Cheng, Y., Uversky, V. N., & Dunker, A. K. (2008). Protein Disorder Is Positively Correlated with Gene Expression inEscherichia coli. Journal of Proteome Research, 7(6), 2234-2245. doi:10.1021/pr800055rSingh, G. P., & Dash, D. (2008). How expression level influences the disorderness of proteins. Biochemical and Biophysical Research Communications, 371(3), 401-404. doi:10.1016/j.bbrc.2008.04.072Yang, J.-R., Liao, B.-Y., Zhuang, S.-M., & Zhang, J. (2012). Protein misinteraction avoidance causes highly expressed proteins to evolve slowly. Proceedings of the National Academy of Sciences, 109(14), E831-E840. doi:10.1073/pnas.1117408109Hendsch, Z. S., & Tidor, B. (1994). Do salt bridges stabilize proteins? A continuum electrostatic analysis. Protein Science, 3(2), 211-226. doi:10.1002/pro.5560030206Zhou, X.-X., Wang, Y.-B., Pan, Y.-J., & Li, W.-F. (2007). Differences in amino acids composition and coupling patterns between mesophilic and thermophilic proteins. Amino Acids, 34(1), 25-33. doi:10.1007/s00726-007-0589-xCatanzano, F., Barone, G., Graziano, G., & Capasso, S. (1997). Thermodynamic analysis of the effect of selective monodeamidation at asparagine 67 in ribonuclease A. Protein Science, 6(8), 1682-1693. doi:10.1002/pro.5560060808Charlesworth, B. (2009). Effective population size and patterns of molecular evolution and variation. Nature Reviews Genetics, 10(3), 195-205. doi:10.1038/nrg2526Bolser, D., Staines, D. M., Pritchard, E., & Kersey, P. (2016). Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data. Methods in Molecular Biology, 115-140. doi:10.1007/978-1-4939-3167-5_6Kasprzyk, A. (2003). EnsMart: A Generic System for Fast and Flexible Access to Biological Data. Genome Research, 14(1), 160-169. doi:10.1101/gr.1645104Hooper, C. M., Castleden, I. R., Tanz, S. K., Aryamanesh, N., & Millar, A. H. (2016). SUBA4: the interactive data analysis centre for Arabidopsis subcellular protein locations. Nucleic Acids Research, 45(D1), D1064-D1074. doi:10.1093/nar/gkw1041R: A language and environment for statistical computing. R Foundation for Statistical Computinghttp://www.R-project.org/Kim, S. (2015). ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients. Communications for Statistical Applications and Methods, 22(6), 665-674. doi:10.5351/csam.2015.22.6.66

    NCAM (CD56) Expression in keratin-producing odontogenic cysts: aberrant expression in KCOT

    Get PDF
    Background: Keratin-producing odontogenic cysts (KPOCs) are a group of cystic lesions that are often aggressive, with high rates of recurrence and multifocality. KPOCs included orthokeratinised odontogenic cyst (OOC) and parakeratotic odontogenic cysts, which are now considered true tumours denominated keratocystic odontogenic tumours (KCOTs). GLUT1 is a protein transporter that is involved in the active uptake of glucose across cell membranes and that is overexpressed in tumours in close correlation with the proliferation rate and positron emission tomography (PET) imaging results. Methods: A series of 58 keratin-producing odontogenic cysts was evaluated histologically and immunohistochemically in terms of GLUT1 expression. Different data were correlated using the beta regression model in relation to histological type and immunohistochemical expression of GLUT1, which was quantified using two different morphological methods. Results: KPOC cases comprised 12 OOCs and 46 KCOTs, the latter corresponding to 6 syndromic and 40 sporadic KCOTs. GLUT1 expression was very low in OOC cases compared with KCOT cases, with statistical significant differences when quantification was considered. Different GLUT1 localisation patterns were revealed by immunostaining, with the parabasal cells showing higher reactivity in KCOTs. However, among KCOTs cases, GLUT1 expression was unable to establish differences between syndromic and sporadic cases. Conclusions: GLUT1 expression differentiated between OOC and KCOT cases, with significantly higher expression in KCOTs, but did not differentiate between syndromic and sporadic KCOT cases. However, given the structural characteristics of KCOTs, we hypothesised that PET imaging methodology is probably not a useful diagnostic tool for KCOTs. Further studies of GLUT1 expression and PET examination in KCOT series are needed to confirm this last hypothesis. Keywords: Glucose transporter protein, Immunohistochemistry, Keratin-producing odontogenic cyst, Keratocystic odontogenic tumour, Orthokeratinised odontogenic cyst, Positron emission tomograph

    Development and Validation of a Risk Score for Chronic Kidney Disease in HIV Infection Using Prospective Cohort Data from the D:A:D Study

    Get PDF
    Ristola M. on työryhmien DAD Study Grp ; Royal Free Hosp Clin Cohort ; INSIGHT Study Grp ; SMART Study Grp ; ESPRIT Study Grp jäsen.Background Chronic kidney disease (CKD) is a major health issue for HIV-positive individuals, associated with increased morbidity and mortality. Development and implementation of a risk score model for CKD would allow comparison of the risks and benefits of adding potentially nephrotoxic antiretrovirals to a treatment regimen and would identify those at greatest risk of CKD. The aims of this study were to develop a simple, externally validated, and widely applicable long-term risk score model for CKD in HIV-positive individuals that can guide decision making in clinical practice. Methods and Findings A total of 17,954 HIV-positive individuals from the Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) study with >= 3 estimated glomerular filtration rate (eGFR) values after 1 January 2004 were included. Baseline was defined as the first eGFR > 60 ml/min/1.73 m2 after 1 January 2004; individuals with exposure to tenofovir, atazanavir, atazanavir/ritonavir, lopinavir/ritonavir, other boosted protease inhibitors before baseline were excluded. CKD was defined as confirmed (>3 mo apart) eGFR In the D:A:D study, 641 individuals developed CKD during 103,185 person-years of follow-up (PYFU; incidence 6.2/1,000 PYFU, 95% CI 5.7-6.7; median follow-up 6.1 y, range 0.3-9.1 y). Older age, intravenous drug use, hepatitis C coinfection, lower baseline eGFR, female gender, lower CD4 count nadir, hypertension, diabetes, and cardiovascular disease (CVD) predicted CKD. The adjusted incidence rate ratios of these nine categorical variables were scaled and summed to create the risk score. The median risk score at baseline was -2 (interquartile range -4 to 2). There was a 1: 393 chance of developing CKD in the next 5 y in the low risk group (risk score = 5, 505 events), respectively. Number needed to harm (NNTH) at 5 y when starting unboosted atazanavir or lopinavir/ritonavir among those with a low risk score was 1,702 (95% CI 1,166-3,367); NNTH was 202 (95% CI 159-278) and 21 (95% CI 19-23), respectively, for those with a medium and high risk score. NNTH was 739 (95% CI 506-1462), 88 (95% CI 69-121), and 9 (95% CI 8-10) for those with a low, medium, and high risk score, respectively, starting tenofovir, atazanavir/ritonavir, or another boosted protease inhibitor. The Royal Free Hospital Clinic Cohort included 2,548 individuals, of whom 94 individuals developed CKD (3.7%) during 18,376 PYFU (median follow-up 7.4 y, range 0.3-12.7 y). Of 2,013 individuals included from the SMART/ESPRIT control arms, 32 individuals developed CKD (1.6%) during 8,452 PYFU (median follow-up 4.1 y, range 0.6-8.1 y). External validation showed that the risk score predicted well in these cohorts. Limitations of this study included limited data on race and no information on proteinuria. Conclusions Both traditional and HIV-related risk factors were predictive of CKD. These factors were used to develop a risk score for CKD in HIV infection, externally validated, that has direct clinical relevance for patients and clinicians to weigh the benefits of certain antiretrovirals against the risk of CKD and to identify those at greatest risk of CKD.Peer reviewe

    Arabidopsis heat stress-induced proteins are enriched in electrostatically charged amino acids and intrinsically disordered regions

    No full text
    Comparison of the proteins of thermophilic, mesophilic, and psychrophilic prokaryotes has revealed several features characteristic to proteins adapted to high temperatures, which increase their thermostability. These characteristics include a profusion of disulfide bonds, salt bridges, hydrogen bonds, and hydrophobic interactions, and a depletion in intrinsically disordered regions. It is unclear, however, whether such differences can also be observed in eukaryotic proteins or when comparing proteins that are adapted to temperatures that are more subtly different. When an organism is exposed to high temperatures, a subset of its proteins is overexpressed (heat-induced proteins), whereas others are either repressed (heat-repressed proteins) or remain unaffected. Here, we determine the expression levels of all genes in the eukaryotic model system Arabidopsis thaliana at 22 and 37 °C, and compare both the amino acid compositions and levels of intrinsic disorder of heat-induced and heat-repressed proteins. We show that, compared to heat-repressed proteins, heat-induced proteins are enriched in electrostatically charged amino acids and depleted in polar amino acids, mirroring thermophile proteins. However, in contrast with thermophile proteins, heat-induced proteins are enriched in intrinsically disordered regions, and depleted in hydrophobic amino acids. Our results indicate that temperature adaptation at the level of amino acid composition and intrinsic disorder can be observed not only in proteins of thermophilic organisms, but also in eukaryotic heat-induced proteins; the underlying adaptation pathways, however, are similar but not the same

    Case Report Synovial Cysts of the Temporomandibular Joint: An Immunohistochemical Characterization and Literature Review

    No full text
    Synovial cysts of the temporomandibular joint (TMJ) are very rare, and to date, only 12 cases of a synovial cyst in the TMJ region have been reported in the literature. In this paper, we present the clinicopathological and immunohistochemical characteristics of one such lesion affecting a 48-year-old woman, presented with a mass in the left preauricular region. We describe the usefulness of immunohistochemical analysis for recognizing the synovial lining, which allowed for clear differentiation between ganglion and synovial cysts. Immunohistochemical analyses can be used to diagnose synovial cysts with certainty; however, using at least two markers is advisable to distinguish the two existing synovial cell subtypes. Our findings indicate that synovial cysts of TMJ possess an internal lining dominated by type B (fibroblast-like) synoviocytes

    A plant spermine oxidase/dehydrogenase regulated by the proteasome and polyamines.

    Get PDF
    Polyamine oxidases (PAOs) are flavin-dependent enzymes involved in polyamine catabolism. In Arabidopsis five PAO genes (AtPAO1-AtPAO5) have been identified which present some common characteristics, but also important differences in primary structure, substrate specificity, subcellular localization, and tissue-specific expression pattern, differences which may suggest distinct physiological roles. In the present work, AtPAO5, the only so far uncharacterized AtPAO which is specifically expressed in the vascular system, was partially purified from 35S::AtPAO5-6His Arabidopsis transgenic plants and biochemically characterized. Data presented here allow AtPAO5 to be classified as a spermine dehydrogenase. It is also shown that AtPAO5 oxidizes the polyamines spermine, thermospermine, and N (1)-acetylspermine, the latter being the best in vitro substrate of the recombinant enzyme. AtPAO5 also oxidizes these polyamines in vivo, as was evidenced by analysis of polyamine levels in the 35S::AtPAO5-6His Arabidopsis transgenic plants, as well as in a loss-of-function atpao5 mutant. Furthermore, subcellular localization studies indicate that AtPAO5 is a cytosolic protein undergoing proteasomal control. Positive regulation of AtPAO5 expression by polyamines at the transcriptional and post-transcriptional level is also shown. These data provide new insights into the catalytic properties of the PAO gene family and the complex regulatory network controlling polyamine metabolism

    A plant spermine oxidase/dehydrogenase regulated by the proteasome and polyamines

    Get PDF
    Polyamine oxidases (PAOs) are flavin-dependent enzymes involved in polyamine catabolism. In Arabidopsis five PAO genes (AtPAO1-AtPAO5) have been identified which present some common characteristics, but also important differences in primary structure, substrate specificity, subcellular localization, and tissue-specific expression pattern, differences which may suggest distinct physiological roles. In the present work, AtPAO5, the only so far uncharacterized AtPAO which is specifically expressed in the vascular system, was partially purified from 35S::AtPAO5-6His Arabidopsis transgenic plants and biochemically characterized. Data presented here allow AtPAO5 to be classified as a spermine dehydrogenase. It is also shown that AtPAO5 oxidizes the polyamines spermine, thermospermine, and N1-acetylspermine, the latter being the best in vitro substrate of the recombinant enzyme. AtPAO5 also oxidizes these polyamines in vivo, as was evidenced by analysis of polyamine levels in the 35S::AtPAO5-6His Arabidopsis transgenic plants, as well as in a loss-of-function atpao5 mutant. Furthermore, subcellular localization studies indicate that AtPAO5 is a cytosolic protein undergoing proteasomal control. Positive regulation of AtPAO5 expression by polyamines at the transcriptional and post-transcriptional level is also shown. These data provide new insights into the catalytic properties of the PAO gene family and the complex regulatory network controlling polyamine metabolism. \ua9 The Author 2014

    A plant spermine oxidase/dehydrogenase regulated by the proteasome and polyamines

    No full text
    AtPAO5 is a spermine dehydrogenase oxidizing spermine, thermospermine, and N-1-acetylspermine through a polyamine back-conversion pathway. AtPAO5 has a cytosolic localization and is regulated transcriptionally and/or post-transcriptionally by the proteasome and polyamines.Polyamine oxidases (PAOs) are flavin-dependent enzymes involved in polyamine catabolism. In Arabidopsis five PAO genes (AtPAO1AtPAO5) have been identified which present some common characteristics, but also important differences in primary structure, substrate specificity, subcellular localization, and tissue-specific expression pattern, differences which may suggest distinct physiological roles. In the present work, AtPAO5, the only so far uncharacterized AtPAO which is specifically expressed in the vascular system, was partially purified from 35S::AtPAO5-6His Arabidopsis transgenic plants and biochemically characterized. Data presented here allow AtPAO5 to be classified as a spermine dehydrogenase. It is also shown that AtPAO5 oxidizes the polyamines spermine, thermospermine, and N-1-acetylspermine, the latter being the best in vitro substrate of the recombinant enzyme. AtPAO5 also oxidizes these polyamines in vivo, as was evidenced by analysis of polyamine levels in the 35S::AtPAO5-6His Arabidopsis transgenic plants, as well as in a loss-of-function atpao5 mutant. Furthermore, subcellular localization studies indicate that AtPAO5 is a cytosolic protein undergoing proteasomal control. Positive regulation of AtPAO5 expression by polyamines at the transcriptional and post-transcriptional level is also shown. These data provide new insights into the catalytic properties of the PAO gene family and the complex regulatory network controlling polyamine metabolism
    corecore