Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 7 de 7
Filter
Add more filters










Publication year range
1.
J Mol Biol ; 435(5): 167949, 2023 03 01.
Article in English | MEDLINE | ID: mdl-36638908

ABSTRACT

Eukaryotic translation initiation factor 4E (eIF4E) is a key factor involved in different aspects of mRNA metabolism. Drosophila melanogaster genome encodes eight eIF4E isoforms, and the canonical isoform eIF4E-1 is a ubiquitous protein that plays a key role in mRNA translation. eIF4E-3 is specifically expressed in testis and controls translation during spermatogenesis. In eukaryotic cells, translational control and mRNA decay is highly regulated in different cytoplasmic ribonucleoprotein foci, which include the processing bodies (PBs). In this study, we show that Drosophila eIF4E-1 and eIF4E-3 occur in PBs along the DEAD-box RNA helicase Me31B. We show that Me31B interacts with eIF4E-1 and eIF4E-3 by means of yeast two-hybrid system, FRET in D. melanogaster S2 cells and coimmunoprecipitation in testis. Truncation and point mutations of Me31B proteins show two eIF4E-binding sites located in different protein domains. Residues Y401-L407 (at the carboxy-terminus) are essential for interaction with eIF4E-1, whereas residues F63-L70 (at the amino-terminus) are critical for interaction with eIF4E-3. The residue W117 in eIF4E-1 and the homolog position F103 in eIF4E-3 are necessary for Me31B-eIF4E interaction suggesting that the change of tryptophan to phenylalanine provides specificity. Me31B represents a novel type of eIF4E-interacting protein with dual and specific interaction domains that might be recognized by different eIF4E isoforms in different tissues, adding complexity to the control of gene expression in eukaryotes.


Subject(s)
Drosophila Proteins , Drosophila melanogaster , Eukaryotic Initiation Factor-4E , Protein Interaction Domains and Motifs , Animals , Male , Drosophila melanogaster/genetics , Drosophila melanogaster/metabolism , Drosophila Proteins/metabolism , Eukaryotic Initiation Factor-4E/genetics , Eukaryotic Initiation Factor-4E/metabolism , Protein Binding , Protein Biosynthesis , Protein Isoforms/genetics , Protein Isoforms/metabolism
2.
Enferm. infecc. microbiol. clín. (Ed. impr.) ; 33(4): 273-280, abr. 2015. ilus, tab
Article in Spanish | IBECS | ID: ibc-136744

ABSTRACT

La hepatitis C es una enfermedad viral hepática causada por un hepacivirus de la familia Flaviviridae, el cual posee un genoma de molécula única de ARN altamente variable. Codifica 10 proteínas necesarias para infectar las células y multiplicarse dentro de ellas. Su replicación se da únicamente en los hepatocitos. Debido a su gran variabilidad genómica y a la ausencia de síntomas de la enfermedad, se dificulta realizar un tratamiento temprano y acertado. En este trabajo se analiza el mecanismo molecular mediante el cual el virus infecta los hepatocitos y desarrolla la enfermedad. Particularmente, analizamos las alternativas terapéuticas, discutiendo la posibilidad de mejorar el tratamiento con el uso de nuevas vacunas específicas. Destacamos el uso de nuevas terapias basadas en ácidos nucleicos, principalmente vectores de ADN. Durante los próximos años, una vez que este tipo de tratamiento sea evaluado adecuadamente en ensayos clínicos y se equilibren los costos, constituirá una alternativa a los métodos convencionales muy beneficiosa


Hepatitis C is a contagious liver disease caused by hepacivirus of the Flaviviridae family. It has a RNA genome, a unique highly variable molecule. It encodes ten proteins which are necessary to infect cells and multiply. Replication occurs only in hepatocytes. Because of its wide genomic variability and the absence of symptoms, it is difficult to make an early diagnosis and successful treatment. In this review we analyze the molecular mechanism by which the virus infects the hepatocytes and causes the disease. We focused the analysis on different therapies, with the possibility of improving treatment with the use of new specific vaccines. We highlight the use of new therapies based on nucleic acids, mainly DNA vectors. In the near future, once this treatment is adequately evaluated in clinical trials, and the costs are calculated, it could be a very beneficial alternative to conventional methods


Subject(s)
Humans , Viral Hepatitis Vaccines/pharmacokinetics , Hepacivirus/pathogenicity , Hepatitis C, Chronic/prevention & control , Antiviral Agents/pharmacokinetics , Comorbidity , HIV Infections/complications , Hepacivirus/ultrastructure
3.
PLoS One ; 10(1): e0115187, 2015.
Article in English | MEDLINE | ID: mdl-25602295

ABSTRACT

The functional properties of inositol(1,4,5)-triphosphate (IP3) receptors allow a variety of intracellular Ca(2+) phenomena. In this way, global phenomena, such as propagating and abortive Ca(2+) waves, as well as local events such as puffs, have been observed. Several experimental studies suggest that many features of global phenomena (e.g., frequency, amplitude, speed wave) depend on the interplay of biophysical processes such as diffusion, buffering, efflux and influx rates, which in turn depend on parameters such as buffer concentration, Ca(2+) pump density, cytosolic IP3 level, and intercluster distance. Besides, it is known that cells are able to modify some of these parameters in order to regulate the Ca(2+) signaling. By using a hybrid model, we analyzed different features of the hierarchy of calcium events as a function of two relevant parameters for the calcium signaling, the intercluster distance and the pump strength or intensity. In the space spanned by these two parameters, we found two modes of calcium dynamics, one dominated by abortive calcium waves and the other by propagating waves. Smaller distances between the release sites promote propagating calcium waves, while the increase of the efflux rate makes the transition from propagating to abortive waves occur at lower values of intercluster distance. We determined the frontier between these two modes, in the parameter space defined by the intercluster distance and the pump strength. Furthermore, we found that the velocity of simulated calcium waves accomplishes Luther's law, and that an effective rate constant for autocatalytic calcium production decays linearly with both the intercluster distance and the pump strength.


Subject(s)
Calcium Signaling , Calcium/metabolism , Algorithms , Intracellular Space/metabolism , Models, Biological
4.
Enferm Infecc Microbiol Clin ; 33(4): 273-80, 2015 Apr.
Article in Spanish | MEDLINE | ID: mdl-24529681

ABSTRACT

Hepatitis C is a contagious liver disease caused by hepacivirus of the Flaviviridae family. It has a RNA genome, a unique highly variable molecule. It encodes ten proteins which are necessary to infect cells and multiply. Replication occurs only in hepatocytes. Because of its wide genomic variability and the absence of symptoms, it is difficult to make an early diagnosis and successful treatment. In this review we analyze the molecular mechanism by which the virus infects the hepatocytes and causes the disease. We focused the analysis on different therapies, with the possibility of improving treatment with the use of new specific vaccines. We highlight the use of new therapies based on nucleic acids, mainly DNA vectors. In the near future, once this treatment is adequately evaluated in clinical trials, and the costs are calculated, it could be a very beneficial alternative to conventional methods.


Subject(s)
Hepacivirus/drug effects , Viral Hepatitis Vaccines/therapeutic use , Animals , Disease Progression , Drug Design , Drug Evaluation, Preclinical , Genome, Viral , Genotype , Hepacivirus/genetics , Hepacivirus/immunology , Hepacivirus/physiology , Hepatitis C/drug therapy , Hepatitis C/epidemiology , Hepatitis C/virology , Hepatitis C Antibodies/immunology , Hepatocytes/virology , Humans , Immunogenicity, Vaccine , Mice , RNA, Viral/genetics , Vaccines, DNA , Vaccines, Subunit , Viral Proteins/physiology
5.
Comp Funct Genomics ; 2012: 504292, 2012.
Article in English | MEDLINE | ID: mdl-22693427

ABSTRACT

The life of an mRNA from transcription to degradation offers multiple control check points that regulate gene expression. Transcription, splicing, and translation have been widely studied for many years; however, in recent years, new layers of posttranscriptional and posttranslational control have been uncovered. They involve the regulation of the metabolism of mRNA in cytoplasmic foci. They are collections of ribonucleoprotein complexes that, in most cases, remain still uncharacterized, except the processing bodies (PBs) and stress granules (SGs), which have been studied (and reviewed) in detail. A challenging prospective is to know how many different classes of foci exist, which functions they support, how are they formed, and how do they relate one to each other. Here, we present an update of the component of the different granules, a possible function, and hypothesis on their in vivo dynamics related to translational control.

6.
Biochim Biophys Acta ; 1823(7): 1217-24, 2012 Jul.
Article in English | MEDLINE | ID: mdl-22507384

ABSTRACT

Eukaryotic translation initiation factor 4E (eIF4E) is required for cap-dependent initiation. In addition, eIF4E occurs in cytoplasmic foci such as processing bodies (PB) and stress granules (SG). We examined the role of key functional amino acid residues of eIF4E in the recruitment of this protein to cytoplasmic foci. We demonstrate that tryptophan residues required for mRNA cap recognition are not required for the recruitment of eIF4E to SG or PB. We show that a tryptophan residue required for protein-protein interactions is essential for the accumulation of eIF4E in granules. Moreover, we show, by the analysis of two Drosophila eIF4E isoforms, that the tryptophan residue is the common feature for eIF4E for the transfer of active mRNA from polysomes to other ribonucleoprotein particles in the cytoplasm. This residue resides in a putative interaction domain different than the eIF4E-BP domain. We conclude that protein-protein interactions rather than interactions with the mRNA are essential for the recruitment of eIF4E and for a putative nucleation function.


Subject(s)
Cytoplasm/metabolism , Drosophila Proteins/metabolism , Drosophila melanogaster/cytology , Drosophila melanogaster/metabolism , Eukaryotic Initiation Factor-4E/metabolism , RNA Caps/metabolism , Amino Acid Sequence , Animals , Cycloheximide/pharmacology , Cytoplasm/drug effects , Cytoplasmic Granules/drug effects , Cytoplasmic Granules/metabolism , Drosophila Proteins/chemistry , Drosophila melanogaster/drug effects , Eukaryotic Initiation Factor-4E/chemistry , HeLa Cells , Humans , Molecular Sequence Data , Mutation/genetics , Protein Binding/drug effects , Protein Isoforms/chemistry , Protein Isoforms/metabolism , Protein Structure, Tertiary , Protein Transport/drug effects , RNA Caps/drug effects , Tryptophan/metabolism
7.
PLoS One ; 6(10): e26291, 2011.
Article in English | MEDLINE | ID: mdl-22028849

ABSTRACT

The microarray technique allows the simultaneous measurements of the expression levels of thousands of mRNAs. By mining these data one can identify the dynamics of the gene expression time series. The detection of genes that are periodically expressed is an important step that allows us to study the regulatory mechanisms associated with the circadian cycle. The problem of finding periodicity in biological time series poses many challenges. Such challenge occurs due to the fact that the observed time series usually exhibit non-idealities, such as noise, short length, outliers and unevenly sampled time points. Consequently, the method for finding periodicity should preferably be robust against such anomalies in the data. In this paper, we propose a general and robust procedure for identifying genes with a periodic signature at a given significance level. This identification method is based on autoregressive models and the information theory. By using simulated data we show that the suggested method is capable of identifying rhythmic profiles even in the presence of noise and when the number of data points is small. By recourse of our analysis, we uncover the circadian rhythmic patterns underlying the gene expression profiles from Cyanobacterium Synechocystis.


Subject(s)
Circadian Rhythm/genetics , Cyanobacteria/genetics , Cyanobacteria/physiology , Gene Expression Profiling , Genes, Bacterial/genetics , Biological Clocks/genetics , Cyanobacteria/metabolism , Energy Metabolism/genetics , Entropy , Oligonucleotide Array Sequence Analysis , Photosynthesis , Time Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...