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1.
PLoS One ; 15(4): e0231085, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32320418

RESUMO

Here we provide bioinformatic evidence that the Organo-Arsenical Exporter (ArsP), Endoplasmic Reticulum Retention Receptor (KDELR), Mitochondrial Pyruvate Carrier (MPC), L-Alanine Exporter (AlaE), and the Lipid-linked Sugar Translocase (LST) protein families are members of the Transporter-Opsin-G Protein-coupled Receptor (TOG) Superfamily. These families share domains homologous to well-established TOG superfamily members, and their topologies of transmembranal segments (TMSs) are compatible with the basic 4-TMS repeat unit characteristic of this Superfamily. These repeat units tend to occur twice in proteins as a result of intragenic duplication events, often with subsequent gain/loss of TMSs in many superfamily members. Transporters within the ArsP family allow microbial pathogens to expel toxic arsenic compounds from the cell. Members of the KDELR family are involved in the selective retrieval of proteins that reside in the endoplasmic reticulum. Proteins of the MPC family are involved in the transport of pyruvate into mitochondria, providing the organelle with a major oxidative fuel. Members of family AlaE excrete L-alanine from the cell. Members of the LST family are involved in the translocation of lipid-linked glucose across the membrane. These five families substantially expand the range of substrates of transport carriers in the superfamily, although KDEL receptors have no known transport function. Clustering of protein sequences reveals the relationships among families, and the resulting tree correlates well with the degrees of sequence similarity documented between families. The analyses and programs developed to detect distant relatedness, provide insights into the structural, functional, and evolutionary relationships that exist between families of the TOG superfamily, and should be of value to many other investigators.


Assuntos
Evolução Molecular , Proteínas de Membrana Transportadoras/genética , Opsinas/genética , Receptores Acoplados a Proteínas G/genética , Sequência de Aminoácidos/genética , Proteínas de Transporte/classificação , Proteínas de Transporte/genética , Biologia Computacional , Humanos , Proteínas de Membrana Transportadoras/classificação , Opsinas/classificação , Filogenia , Receptores Acoplados a Proteínas G/classificação , Receptores de Peptídeos/genética
2.
Biochim Biophys Acta Biomembr ; 1862(9): 183277, 2020 09 01.
Artigo em Inglês | MEDLINE | ID: mdl-32205149

RESUMO

The Major Facilitator Superfamily (MFS) is currently the largest characterized superfamily of transmembrane secondary transport proteins. Its diverse members are found in essentially all organisms in the biosphere and function by uniport, symport, and/or antiport mechanisms. In 1993 we first named and described the MFS which then consisted of 5 previously known families that had not been known to be related, and by 2012 we had identified a total of 74 families, classified phylogenetically within the MFS, all of which included only transport proteins. This superfamily has since expanded to 89 families, all included under TC# 2.A.1, and a few transporter families outside of TC# 2.A.1 were identified as members of the MFS. In this study, we assign nine previously unclassified protein families in the Transporter Classification Database (TCDB; http://www.tcdb.org) to the MFS based on multiple criteria and bioinformatic methodologies. In addition, we find integral membrane domains distantly related to partial or full-length MFS permeases in Lysyl tRNA Synthases (TC# 9.B.111), Lysylphosphatidyl Glycerol Synthases (TC# 4.H.1), and cytochrome b561 transmembrane electron carriers (TC# 5.B.2). Sequence alignments, overlap of hydropathy plots, compatibility of repeat units, similarity of complexity profiles of transmembrane segments, shared protein domains and 3D structural similarities between transport proteins were analyzed to assist in inferring homology. The MFS now includes 105 families.


Assuntos
Proteínas de Membrana/genética , Família Multigênica/genética , Transporte Proteico/genética , Sequência de Aminoácidos/genética , Animais , Toxinas Bacterianas/genética , Clostridioides difficile/genética , Clostridioides difficile/patogenicidade , Biologia Computacional , Grupo dos Citocromos b/genética , Humanos , Lisina-tRNA Ligase/genética , Proteínas de Membrana/classificação , Conformação Molecular , Filogenia , Alinhamento de Sequência/métodos
3.
Sci Rep ; 9(1): 8827, 2019 06 20.
Artigo em Inglês | MEDLINE | ID: mdl-31222165

RESUMO

Viral contamination in biopharmaceutical manufacturing can lead to shortages in the supply of critical therapeutics. To facilitate the protection of bioprocesses, we explored the basis for the susceptibility of CHO cells to RNA virus infection. Upon infection with certain ssRNA and dsRNA viruses, CHO cells fail to generate a significant interferon (IFN) response. Nonetheless, the downstream machinery for generating IFN responses and its antiviral activity is intact in these cells: treatment of cells with exogenously-added type I IFN or poly I:C prior to infection limited the cytopathic effect from Vesicular stomatitis virus (VSV), Encephalomyocarditis virus (EMCV), and Reovirus-3 virus (Reo-3) in a STAT1-dependent manner. To harness the intrinsic antiviral mechanism, we used RNA-Seq to identify two upstream repressors of STAT1: Gfi1 and Trim24. By knocking out these genes, the engineered CHO cells exhibited activation of cellular immune responses and increased resistance to the RNA viruses tested. Thus, omics-guided engineering of mammalian cell culture can be deployed to increase safety in biotherapeutic protein production among many other biomedical applications.


Assuntos
Células CHO/virologia , Engenharia Genética , Interações Hospedeiro-Patógeno/imunologia , Imunidade Inata , Microbiologia Industrial , Animais , Biomarcadores , Cricetulus , Resistência a Medicamentos/imunologia , Engenharia Genética/métodos , Interferon Tipo I , Poli I-C/imunologia , Vírus de RNA/imunologia , Fator de Transcrição STAT1 , Transdução de Sinais , Replicação Viral
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