RESUMO
Coenzyme Q10 (CoQ10), a benzoquinone present in most organisms, plays an important role in the electron-transport chain, and its deficiency is associated with various neuropathies and muscular disorders. CoQ10 is the only lipid-soluble antioxidant found in humans, and for this, it is gaining popularity in the cosmetic and healthcare industries. To meet the growing demand for CoQ10, there has been considerable interest in ways to enhance its production, the most effective of which remains microbial fermentation. Previous attempts to increase CoQ10 production to an industrial scale have thus far conformed to the strategies used in typical metabolic engineering endeavors. However, the emergence of new tools in the expanding field of synthetic biology has provided a suite of possibilities that extend beyond the traditional modes of metabolic engineering. In this review, we cover the various strategies currently undertaken to upscale CoQ10 production, and discuss some of the potential novel areas for future research.
Assuntos
Antioxidantes/metabolismo , Ubiquinona/análogos & derivados , Vitaminas/biossíntese , Fermentação , Microbiologia Industrial , Engenharia Metabólica/métodos , Engenharia de Proteínas/métodos , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , Ubiquinona/biossínteseRESUMO
Eukaryotic genomes are packed into discrete units, referred to as nucleosomes, by organizing around scaffolding histone proteins. The interplay between these histones and the DNA can dynamically regulate the function of the chromosomal domain. Here, we interrogated the function of a pair of juxtaposing serine residues (S86 and S87) that reside within the histone fold of histone H3. We show that fission yeast cells expressing a mutant histone H3 disrupted at S86 and S87 (hht2-S86AS87A) exhibited unequal chromosome segregation, disrupted transcriptional silencing of centromeric chromatin, and reduced expression of Ams2, a GATA-factor that regulates localization of the centromere-specific histone H3 variant CENP-A. We found that overexpression of ams2(+) could suppress the chromosome missegregation phenotype that arose in the hht2-S86AS87A mutant. We further demonstrate that centromeric localization of SpCENP-A(cnp1-1) was significantly compromised in hht2-S86AS87A, suggesting synergism between histone H3 and the centromere-targeting domain of SpCENP-A. Taken together, our work presents evidence for an uncharacterized serine residue in fission yeast histone H3 that affects centromeric integrity via regulating the expression of the SpCENP-A-localizing Ams2 protein. [173/200 words].
Assuntos
Segregação de Cromossomos , Fatores de Transcrição GATA/genética , Regulação Fúngica da Expressão Gênica , Histonas/genética , Histonas/metabolismo , Mutação , Proteínas de Schizosaccharomyces pombe/genética , Schizosaccharomyces/genética , Schizosaccharomyces/metabolismo , Substituição de Aminoácidos , Centrômero/genética , Centrômero/metabolismo , Expressão Ectópica do Gene , Mutagênese Sítio-Dirigida , Biossíntese de Proteínas , Transcrição GênicaRESUMO
Drug resistance is a major hurdle to the success of chemotherapy. The permeability glycoprotein (P-gp) is an important factor dictating drug access to the cells, as it controls the efflux of chemotherapeutic agents against the concentration gradient. Pmd1, a P-gp-like protein, was recently isolated as a doxorubicin resistance gene in fission yeast. Although the null mutant of pmd1 (Δpmd1) exhibited sensitivity to doxorubicin, it showed an unexpectedly high resistance to the drug at relatively high concentrations. The data presented here suggest that this is due to the presence of cooperative processes that can complement and counteract drug cytotoxicity in the absence of Pmd1. One such factor, Rav1, is an essential factor in controlling the assembly of the pH-regulating transporter vacuolar-ATPase (V-ATPase) in fission yeast. The simultaneous disruption of Pmd1 and Rav1 resulted in a prominent accumulation of doxorubicin in the cytoplasm of cells, accompanied by a decline in cell viability. With concurrent treatment of pharmacological inhibitors in human cervical cancer cells, P-gp and V-ATPase were further shown to act synergistically to sensitize cells to doxorubicin also in the human cells. Furthermore, a novel Cornichon-like protein SPAC2C4.05 (herein named as Cor1) was demonstrated for the first time to be involved in the interaction with P-gp and V-ATPase to counteract doxorubicin-dependent cytotoxicity. Therefore this study identified a molecular cooperation between multiple membrane transporter proteins that confers chemoresistance to cells against the chemical insult of doxorubicin. Interestingly, this network exhibited differential effects to doxorubicin as compared with its close epimeric analog epirubicin, suggestive of the intricacy of the drug response regulated by this synergistic interaction. A model is discussed on how the versatility of this network can differentiate closely related chemical drug structures yet allow for the robustness to counteract a vast range of drugs.
Assuntos
Membro 1 da Subfamília B de Cassetes de Ligação de ATP/metabolismo , Adenosina Trifosfatases/metabolismo , Antraciclinas/farmacologia , Antineoplásicos/farmacologia , Resistência a Medicamentos/efeitos dos fármacos , Schizosaccharomyces/efeitos dos fármacos , Membro 1 da Subfamília B de Cassetes de Ligação de ATP/antagonistas & inibidores , Adenosina Trifosfatases/antagonistas & inibidores , Antraciclinas/química , Antineoplásicos/química , Proliferação de Células/efeitos dos fármacos , Sobrevivência Celular/efeitos dos fármacos , Feminino , Humanos , Neoplasias do Colo do Útero/enzimologia , Neoplasias do Colo do Útero/metabolismo , Neoplasias do Colo do Útero/patologiaRESUMO
The identification and validation of protein allergens have become more important nowadays as more and more transgenic proteins are introduced into our food chains. Current allergen prediction algorithms focus on the identification of single motif or single allergen peptide for allergen detection. However, an analysis of the 575 allergen dataset shows that most allergens contain multiple motifs. Here, we present a novel algorithm that detects allergen by making use of combinations of motifs. Sensitivity of 0.772 and specificity of 0.904 were achieved by the proposed algorithm to predict allergen. The specificity of the proposed approach is found to be significantly higher than traditional single motif approaches. The high specificity of the proposed algorithm is useful in filtering out false positives, especially when laboratory resources are limited.