Metaxin 3 is a Highly Conserved Vertebrate Protein Homologous to Mitochondrial Import Proteins and GSTs

作者: Kenneth W. Adolph

DOI: 10.1101/813451

关键词:

摘要: ABSTRACT Metaxin 3 genes are shown to be widely conserved in vertebrates, including mammals, birds, fish, amphibians, and reptiles. genes, however, not found invertebrates, plants, bacteria. The predicted metaxin proteins were identified by their homology the encoded zebrafish Xenopus cDNAs. Further evidence that they was provided presence of GST_N_Metaxin, GST_C_Metaxin, Tom37 protein domains, absence other major domains. Alignment human 1 amino acid sequences showed 45% identities, while 2 had 23% identities. These results indicate is a distinct metaxin. A wide variety vertebrate species—including human, zebrafish, Xenopus, dog, shark, elephant, panda, platypus—had same adjacent gene. In particular, thrombospondin 4 gene (THBS4) next (MTX3). By comparison, (THBS3) (MTX1). Phylogenetic analysis 3, 1, formed separate clusters, but with all three metaxins being derived from common ancestor. Alpha-helices dominate secondary structures proteins. Little beta-strand present. pattern 9 helical segments also for 2.

参考文章(29)
Aron Marchler-Bauer, Yu Bo, Lianyi Han, Jane He, Christopher J. Lanczycki, Shennan Lu, Farideh Chitsaz, Myra K. Derbyshire, Renata C. Geer, Noreen R. Gonzales, Marc Gwadz, David I. Hurwitz, Fu Lu, Gabriele H. Marchler, James S. Song, Narmada Thanki, Zhouxi Wang, Roxanne A. Yamashita, Dachuan Zhang, Chanjuan Zheng, Lewis Y. Geer, Stephen H. Bryant, CDD/SPARCLE: functional classification of proteins via subfamily domain architectures. Nucleic Acids Research. ,vol. 45, ,(2017) , 10.1093/NAR/GKW1129
Pramod K. Mistry, Grisel Lopez, Raphael Schiffmann, Norman W. Barton, Neal J. Weinreb, Ellen Sidransky, Gaucher disease: Progress and ongoing challenges. Molecular Genetics and Metabolism. ,vol. 120, pp. 8- 21 ,(2017) , 10.1016/J.YMGME.2016.11.006
Avik Choudhuri, Eva M. Fast, Leonard I. Zon, Using Zebrafish to Study Pathways that Regulate Hematopoietic Stem Cell Self-Renewal and Migration Stem cell reports. ,vol. 8, pp. 1465- 1471 ,(2017) , 10.1016/J.STEMCR.2017.05.018
Brandon W. Simone, Gabriel Martínez-Gálvez, Zachary WareJoncas, Stephen C. Ekker, Fishing for understanding: Unlocking the zebrafish gene editor's toolbox. Methods. ,vol. 150, pp. 3- 10 ,(2018) , 10.1016/J.YMETH.2018.07.012
Nikolaus Pfanner, Bettina Warscheid, Nils Wiedemann, Mitochondrial proteins: from biogenesis to functional networks. Nature Reviews Molecular Cell Biology. ,vol. 20, pp. 267- 284 ,(2019) , 10.1038/S41580-018-0092-0
José Juan Almagro Armenteros, Konstantinos D. Tsirigos, Casper Kaae Sønderby, Thomas Nordahl Petersen, Ole Winther, Søren Brunak, Gunnar von Heijne, Henrik Nielsen, SignalP 5.0 improves signal peptide predictions using deep neural networks Nature Biotechnology. ,vol. 37, pp. 420- 423 ,(2019) , 10.1038/S41587-019-0036-Z
Fábio Madeira, Young mi Park, Joon Lee, Nicola Buso, Tamer Gur, Nandana Madhusoodanan, Prasad Basutkar, Adrian R N Tivey, Simon C Potter, Robert D Finn, Rodrigo Lopez, The EMBL-EBI search and sequence analysis tools APIs in 2019 Nucleic Acids Research. ,vol. 47, ,(2019) , 10.1093/NAR/GKZ268
Ross L. Cagan, Leonard I. Zon, Richard M. White, Modeling Cancer with Flies and Fish. Developmental Cell. ,vol. 49, pp. 317- 324 ,(2019) , 10.1016/J.DEVCEL.2019.04.013
Jenny Do, Cindy McKinney, Pankaj Sharma, Ellen Sidransky, Glucocerebrosidase and its relevance to Parkinson disease Molecular Neurodegeneration. ,vol. 14, pp. 36- 36 ,(2019) , 10.1186/S13024-019-0336-2