978 resultados para DNA-binding


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The murine Pax-3 protein contains two DNA-binding domains, a paired domain and a homeodomain, and alterations in the Pax-3 gene are responsible for the neural tube defects observed in the Splotch (Sp) mouse mutant. Of five Sp alleles, Splotch-delayed (Spd) is the only one that encodes a full-length Pax-3 protein, containing a single glycine-to-arginine substitution within the paired domain. To better understand the consequence of this mutation on Pax-3 function, we have analyzed the DNA-binding properties of wild-type and Spd Pax-3, using oligonucleotides that bind primarily to the paired domain (e5) or exclusively to the homeodomain (P2). Wild-type Pax-3 was found to bind e5 in a specific manner. In contrast, the Spd mutation reduced binding of Pax-3 to e5 17-fold, revealing a defect in DNA binding by the paired domain. Surprisingly, the Spd mutation also drastically reduced the homeodomain-specific binding to P2 by 21-fold when compared with the wild-type protein. Interestingly, a deletion which removes the Spd mutation was found to restore P2-binding activity, suggesting that within the full-length Pax-3 protein, the paired domain and homeodomain may interact. We conclude, therefore, that the Spd mutation is phenotyically expressed in vitro by a defect in the DNA-binding properties of Pax-3. Furthermore, it is apparent that the paired domain and homeodomain of Pax-3 do not function as independent domains, since a mutation in the former impairs the DNA-binding activity of the latter.

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In the facultative anaerobe Escherichia coli, the transcription factor FNR (fumarate nitrate reduction) regulates gene expression in response to oxygen deprivation. To investigate how the activity of FNR is regulated by oxygen availability, two mutant proteins, DA154 and LH28-DA154, which have enhanced in vivo activity in the presence of oxygen, were purified and compared. Unlike other previously examined FNR preparations, the absorption spectrum of LH28-DA154 had two maxima at 324 nm and 419 nm, typical of iron-sulfur (Fe-S)-containing proteins. Consistent with these data, metal analysis showed that only the LH28-DA154 protein contained a significant amount of iron and acid-labile sulfide, and, by low temperature EPR spectroscopy, a signal typical of a [3Fe-4S]+ cluster was detected. The LH28-DA154 protein that contained the Fe-S cluster also contained a higher proportion of dimers and had a 3- to 4-fold higher apparent affinity for the target DNA than the DA154 protein. In agreement with this, we found that when the LH28-DA154 protein was treated with an iron chelator (alpha,alpha'-dipyridyl), it lost its characteristic absorption and the apparent affinity for DNA was reduced 6-fold. However, increased DNA binding and the characteristic absorption spectrum could be restored by in vitro reconstitution of the Fe-S center. DNA binding of the LH28-DA154 protein was also affected by the redox state of the Fe-S center, since protein exposed to oxygen bound 1/10th as much DNA as the protein reduced anaerobically with dithionite. The observation that DNA binding is enhanced when the Fe-S center is reduced indicates that the redox state of the Fe-S center affects the DNA-binding activity of this protein and suggests a possible mechanism for regulation of the wild-type protein.

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GabR è un fattore di trascrizione chimerico appartenente alla famiglia dei MocR/GabR, costituito da un dominio N-terminale elica-giro-elica di legame al DNA e un dominio effettore e/o di oligomerizzazione al C-terminale. I due domini sono connessi da un linker flessibile di 29 aminoacidi. Il dominio C-terminale è strutturalmente omologo agli enzimi aminotransferasici fold-type I, i quali, utilizzando il piridossal-5’-fosfato (PLP) come cofattore, sono direttamente coinvolti nel metabolismo degli aminoacidi. L’interazione contemporanea di PLP e acido γ-aminobutirrico (GABA) a GabR fa sì che questa promuova la trascrizione di due geni, gabT e gabD, implicati nel metabolismo del GABA. GabR cristallizza come un omodimero con una configurazione testa-coda. Il legame con la regione promotrice gabTD avviene attraverso il riconoscimento specifico di due sequenze dirette e ripetute (ATACCA), separate da uno spacer di 34 bp. In questo studio sono state indagate le proprietà biochimiche, strutturali e di legame al DNA della proteina GabR di Bacillus subtilis. L’analisi spettroscopica dimostra che GabR interagisce con il PLP formando l’aldimina interna, mentre in presenza di GABA si ottiene l’aldimina esterna. L’interazione fra il promotore gabTD e le forme holo e apo di GabR è stata monitorata mediante Microscopia a Forza atomica (AFM). In queste due condizioni di legame è stata stimata una Kd di circa 40 ηM. La presenza di GABA invece, determinava un incremento di circa due volte della Kd, variazioni strutturali nei complessi GabR-DNA e una riduzione del compattamento del DNA alla proteina, indipendentemente dalla sequenza del promotore in esame. Al fine di valutare il ruolo delle caratteristiche topologiche del promotore, sono state inserite cinque e dieci bp all’interno della regione spacer che separa le due sequenze ripetute dirette riconosciute da GabR. I significativi cambiamenti topologici riscontrati nel frammento aggiunto di cinque bp si riflettono anche sulla forte riduzione dell’affinità di legame verso la proteina. Al contrario, l’inserzione di 10 bp provoca solamente l’allontanamento delle sequenze ripetute dirette. L’assenza quindi di cambiamenti significativi nella topologia di questo promotore fa sì che l’affinità di legame per GabR rimanga pressoché inalterata rispetto al promotore non mutato. L’analisi del potenziale elettrostatico superficiale di GabR mostra la presenza di una fascia carica positivamente che si estende lungo un’intera faccia della proteina. Per verificare l’importanza di questa caratteristica di GabR nel meccanismo di interazione al DNA, sono stati preparati ed indagati i mutanti R129Q e K362-366Q, in cui la carica positiva superficiale risultava indebolita. L’affinità di legame dei mutanti di GabR per il DNA era inferiore rispetto alla proteina non mutata, in particolar modo nel mutante K362-366Q. Le evidenze acquisite suggeriscono che la curvatura intrinseca del promotore ed il corretto orientamento delle sequenze sulla doppia elica, più della distanza che le separa, siano critici per sostenere l’interazione con GabR. Oltre a questo, la superficie positiva di GabR è richiesta per accomodare la curvatura del DNA sul corpo della proteina. Alla luce di questo, l’interazione GabR-gabTD è un esempio di come il riconoscimento specifico di sequenze, la topologia del DNA e le caratteristiche strutturali della proteina siano contemporaneamente necessarie per sostenere un’interazione proteina-DNA stabile.

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Aims: Previous data suggest heterogeneity in laminar distribution of the pathology in the molecular disorder frontotemporal lobar degeneration (FTLD) with transactive response (TAR) DNA-binding protein of 43kDa (TDP-43) proteinopathy (FTLD-TDP). To study this heterogeneity, we quantified the changes in density across the cortical laminae of neuronal cytoplasmic inclusions, glial inclusions, neuronal intranuclear inclusions, dystrophic neurites, surviving neurones, abnormally enlarged neurones, and vacuoles in regions of the frontal and temporal lobe. Methods: Changes in density of histological features across cortical gyri were studied in 10 sporadic cases of FTLD-TDP using quantitative methods and polynomial curve fitting. Results: Our data suggest that laminar neuropathology in sporadic FTLD-TDP is highly variable. Most commonly, neuronal cytoplasmic inclusions, dystrophic neurites and vacuolation were abundant in the upper laminae and glial inclusions, neuronal intranuclear inclusions, abnormally enlarged neurones, and glial cell nuclei in the lower laminae. TDP-43-immunoreactive inclusions affected more of the cortical profile in longer duration cases; their distribution varied with disease subtype, but was unrelated to Braak tangle score. Different TDP-43-immunoreactive inclusions were not spatially correlated. Conclusions: Laminar distribution of pathological features in 10 sporadic cases of FTLD-TDP is heterogeneous and may be accounted for, in part, by disease subtype and disease duration. In addition, the feedforward and feedback cortico-cortical connections may be compromised in FTLD-TDP. © 2012 The Authors. Neuropathology and Applied Neurobiology © 2012 British Neuropathological Society.

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Protein-DNA interactions are an essential feature in the genetic activities of life, and the ability to predict and manipulate such interactions has applications in a wide range of fields. This Thesis presents the methods of modelling the properties of protein-DNA interactions. In particular, it investigates the methods of visualising and predicting the specificity of DNA-binding Cys2His2 zinc finger interaction. The Cys2His2 zinc finger proteins interact via their individual fingers to base pair subsites on the target DNA. Four key residue positions on the a- helix of the zinc fingers make non-covalent interactions with the DNA with sequence specificity. Mutating these key residues generates combinatorial possibilities that could potentially bind to any DNA segment of interest. Many attempts have been made to predict the binding interaction using structural and chemical information, but with only limited success. The most important contribution of the thesis is that the developed model allows for the binding properties of a given protein-DNA binding to be visualised in relation to other protein-DNA combinations without having to explicitly physically model the specific protein molecule and specific DNA sequence. To prove this, various databases were generated, including a synthetic database which includes all possible combinations of the DNA-binding Cys2His2 zinc finger interactions. NeuroScale, a topographic visualisation technique, is exploited to represent the geometric structures of the protein-DNA interactions by measuring dissimilarity between the data points. In order to verify the effect of visualisation on understanding the binding properties of the DNA-binding Cys2His2 zinc finger interaction, various prediction models are constructed by using both the high dimensional original data and the represented data in low dimensional feature space. Finally, novel data sets are studied through the selected visualisation models based on the experimental DNA-zinc finger protein database. The result of the NeuroScale projection shows that different dissimilarity representations give distinctive structural groupings, but clustering in biologically-interesting ways. This method can be used to forecast the physiochemical properties of the novel proteins which may be beneficial for therapeutic purposes involving genome targeting in general.

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DNA-binding proteins are crucial for various cellular processes and hence have become an important target for both basic research and drug development. With the avalanche of protein sequences generated in the postgenomic age, it is highly desired to establish an automated method for rapidly and accurately identifying DNA-binding proteins based on their sequence information alone. Owing to the fact that all biological species have developed beginning from a very limited number of ancestral species, it is important to take into account the evolutionary information in developing such a high-throughput tool. In view of this, a new predictor was proposed by incorporating the evolutionary information into the general form of pseudo amino acid composition via the top-n-gram approach. It was observed by comparing the new predictor with the existing methods via both jackknife test and independent data-set test that the new predictor outperformed its counterparts. It is anticipated that the new predictor may become a useful vehicle for identifying DNA-binding proteins. It has not escaped our notice that the novel approach to extract evolutionary information into the formulation of statistical samples can be used to identify many other protein attributes as well.

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DNA-binding proteins are crucial for various cellular processes, such as recognition of specific nucleotide, regulation of transcription, and regulation of gene expression. Developing an effective model for identifying DNA-binding proteins is an urgent research problem. Up to now, many methods have been proposed, but most of them focus on only one classifier and cannot make full use of the large number of negative samples to improve predicting performance. This study proposed a predictor called enDNA-Prot for DNA-binding protein identification by employing the ensemble learning technique. Experiential results showed that enDNA-Prot was comparable with DNA-Prot and outperformed DNAbinder and iDNA-Prot with performance improvement in the range of 3.97-9.52% in ACC and 0.08-0.19 in MCC. Furthermore, when the benchmark dataset was expanded with negative samples, the performance of enDNA-Prot outperformed the three existing methods by 2.83-16.63% in terms of ACC and 0.02-0.16 in terms of MCC. It indicated that enDNA-Prot is an effective method for DNA-binding protein identification and expanding training dataset with negative samples can improve its performance. For the convenience of the vast majority of experimental scientists, we developed a user-friendly web-server for enDNA-Prot which is freely accessible to the public. © 2014 Ruifeng Xu et al.

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Background: DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation. There have been several computational methods proposed in the literature to deal with the DNA-binding protein identification. However, most of them can't provide an invaluable knowledge base for our understanding of DNA-protein interactions. Results: We firstly presented a new protein sequence encoding method called PSSM Distance Transformation, and then constructed a DNA-binding protein identification method (SVM-PSSM-DT) by combining PSSM Distance Transformation with support vector machine (SVM). First, the PSSM profiles are generated by using the PSI-BLAST program to search the non-redundant (NR) database. Next, the PSSM profiles are transformed into uniform numeric representations appropriately by distance transformation scheme. Lastly, the resulting uniform numeric representations are inputted into a SVM classifier for prediction. Thus whether a sequence can bind to DNA or not can be determined. In benchmark test on 525 DNA-binding and 550 non DNA-binding proteins using jackknife validation, the present model achieved an ACC of 79.96%, MCC of 0.622 and AUC of 86.50%. This performance is considerably better than most of the existing state-of-the-art predictive methods. When tested on a recently constructed independent dataset PDB186, SVM-PSSM-DT also achieved the best performance with ACC of 80.00%, MCC of 0.647 and AUC of 87.40%, and outperformed some existing state-of-the-art methods. Conclusions: The experiment results demonstrate that PSSM Distance Transformation is an available protein sequence encoding method and SVM-PSSM-DT is a useful tool for identifying the DNA-binding proteins. A user-friendly web-server of SVM-PSSM-DT was constructed, which is freely accessible to the public at the web-site on http://bioinformatics.hitsz.edu.cn/PSSM-DT/.

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Protein-DNA interactions are involved in many fundamental biological processes essential for cellular function. Most of the existing computational approaches employed only the sequence context of the target residue for its prediction. In the present study, for each target residue, we applied both the spatial context and the sequence context to construct the feature space. Subsequently, Latent Semantic Analysis (LSA) was applied to remove the redundancies in the feature space. Finally, a predictor (PDNAsite) was developed through the integration of the support vector machines (SVM) classifier and ensemble learning. Results on the PDNA-62 and the PDNA-224 datasets demonstrate that features extracted from spatial context provide more information than those from sequence context and the combination of them gives more performance gain. An analysis of the number of binding sites in the spatial context of the target site indicates that the interactions between binding sites next to each other are important for protein-DNA recognition and their binding ability. The comparison between our proposed PDNAsite method and the existing methods indicate that PDNAsite outperforms most of the existing methods and is a useful tool for DNA-binding site identification. A web-server of our predictor (http://hlt.hitsz.edu.cn:8080/PDNAsite/) is made available for free public accessible to the biological research community.

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Schistosomiasis is a chronically debilitating helminth infection with a significant socio-economic and public health impact. Accurate diagnostics play a pivotal role in achieving current schistosomiasis control and elimination goals. However, many of the current diagnostic procedures, which rely on detection of schistosome eggs, have major limitations including lack of accuracy and the inability to detect pre-patent infections. DNA-based detection methods provide a viable alternative to the current tests commonly used for schistosomiasis diagnosis. Here we describe the optimisation of a novel droplet digital PCR (ddPCR) duplex assay for the diagnosis of Schistosoma japonicum infection which provides improved detection sensitivity and specificity. The assay involves the amplification of two specific and abundant target gene sequences in S. japonicum; a retrotransposon (SjR2) and a portion of a mitochondrial gene (nad1). The assay detected target sequences in different sources of schistosome DNA isolated from adult worms, schistosomules and eggs, and exhibits a high level of specificity, thereby representing an ideal tool for the detection of low levels of parasite DNA in different clinical samples including parasite cell free DNA in the host circulation and other bodily fluids. Moreover, being quantitative, the assay can be used to determine parasite infection intensity and, could provide an important tool for the detection of low intensity infections in low prevalence schistosomiasis-endemic areas.

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The Bacillus subtilis DnaI, DnaB and DnaD proteins load the replicative ring helicase DnaC onto DNA during priming of DNA replication. Here we show that DnaI consists of a C-terminal domain (Cd) with ATPase and DNA-binding activities and an N-terminal domain (Nd) that interacts with the replicative ring helicase. A Zn2+-binding module mediates the interaction with the helicase and C67, C70 and H84 are involved in the coordination of the Zn2+. DnaI binds ATP and exhibits ATPase activity that is not stimulated by ssDNA, because the DNA-binding site on Cd is masked by Nd. The ATPase activity resides on the Cd domain and when detached from the Nd domain, it becomes sensitive to stimulation by ssDNA because its cryptic DNA-binding site is exposed. Therefore, Nd acts as a molecular 'switch' regulating access to the ssDNA binding site on Cd, in response to binding of the helicase. DnaI is sufficient to load the replicative helicase from a complex with six DnaI molecules, so there is no requirement for a dual helicase loader system.

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Dissertação para obtenção do Grau de Doutor em Sistemas de Bioengenharia

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The Xenopus vitellogenin (vit) gene B1 estrogen-inducible enhancer is formed by two closely adjacent 13 bp imperfect palindromic estrogen-responsive elements (EREs), i.e. ERE-2 and ERE-1, having one and two base substitutions respectively, when compared to the perfect palindromic consensus ERE (GGTCANNNTGACC). Gene transfer experiments indicate that these degenerated elements, on their own, have a low or no regulatory capacity at all, but in vivo act together synergistically to confer high receptor- and hormone-dependent transcription activation to the heterologous HSV thymidine kinase promoter. Thus, the DNA region upstream of the vitB1 gene comprising these two imperfect EREs separated by 7 bp, was called the vitB1 estrogen-responsive unit (vitB1 ERU). Using in vitro protein-DNA interaction techniques, we demonstrate that estrogen receptor dimers bind cooperatively to the imperfect EREs of the vitB1 ERU. Binding of a first receptor dimer to the more conserved ERE-2 increases approximately 4- to 8-fold the binding affinity of the receptor to the adjacent less conserved ERE-1. Thus, we suggest that the observed synergistic estrogen-dependent transcription activation conferred by the pair of hormone-responsive DNA elements of the vit B1 ERU is the result of cooperative binding of two estrogen receptor dimers to these two adjacent imperfect EREs.

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Double-strand breaks (DSBs) in DNA are caused by ionizing radiation. These chromosomal breaks can kill the cell unless repaired efficiently, and inefficient or inappropriate repair can lead to mutation, gene translocation and cancer. Two proteins that participate in the repair of DSBs are Rad52 and Ku: in lower eukaryotes such as yeast, DSBs are repaired by Rad52-dependent homologous recombination, whereas vertebrates repair DSBs primarily by Ku-dependent non-homologous end-joining. The contribution of homologous recombination to vertebrate DSB repair, however, is important. Biochemical studies indicate that Ku binds to DNA ends and facilitates end-joining. Here we show that human Rad52, like Ku, binds directly to DSBs, protects them from exonuclease attack and facilitates end-to-end interactions. A model for repair is proposed in which either Ku or Rad52 binds the DSB. Ku directs DSBs into the non-homologous end-joining repair pathway, whereas Rad52 initiates repair by homologous recombination. Ku and Rad52, therefore, direct entry into alternative pathways for the repair of DNA breaks.

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CREB is a cAMP-responsive nuclear DNA-binding protein that binds to cAMP response elements and stimulates gene transcription upon activation of the cAMP signalling pathway. The protein consists of an amino-terminal transcriptional transactivation domain and a carboxyl-terminal DNA-binding domain (bZIP domain) comprised of a basic region and a leucine zipper involved in DNA recognition and dimerization, respectively. Recently, we discovered a testis-specific transcript of CREB that contains an alternatively spliced exon encoding multiple stop codons. CREB encoded by this transcript is a truncated protein lacking the bZIP domain. We postulated that the antigen detected by CREB antiserum in the cytoplasm of germinal cells is the truncated CREB that must also lack its nuclear translocation signal (NTS). To test this hypothesis we prepared multiple expression plasmids encoding carboxyl-terminal deletions of CREB and transiently expressed them in COS-1 cells. By Western immunoblot analysis as well as immunocytochemistry of transfected cells, we show that CREB proteins truncated to amino acid 286 or shorter are sequestered in the cytoplasm, whereas a CREB of 295 amino acids is translocated into the nucleus. Chimeric CREBs containing a heterologous NTS fused to the first 248 or 261 amino acids of CREB are able to drive the translocation of the protein into the nucleus. Thus, the nine amino acids in the basic region involved in DNA recognition between positions 287 and 295 (RRKKKEYVK) of CREB contain the NTS. Further, mutation of the lysine at position 290 in CREB to an asparagine diminishes nuclear translocation of the protein.(ABSTRACT TRUNCATED AT 250 WORDS)