973 resultados para Dna-binding-specificity
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We have identified a class of proteins that bind single-stranded telomeric DNA and are required for the nuclear organization of telomeres and/or telomere-associated proteins. Rlf6p was identified by its sequence similarity to Gbp1p, a single-stranded telomeric DNA-binding protein from Chlamydomonas reinhardtii. Rlf6p and Gbp1p bind yeast single-stranded G-strand telomeric DNA. Both proteins include at least two RNA recognition motifs, which are found in many proteins that interact with single-stranded nucleic acids. Disruption of RLF6 alters the distribution of repressor/activator protein 1 (Rap1p), a telomere-associated protein. In wild-type yeast cells, Rap1p localizes to a small number of perinuclear spots, while in rlf6 cells Rap1p appears diffuse and nuclear. Interestingly, telomere position effect and telomere length control, which require RAP1, are unaffected by rlf6 mutations, demonstrating that Rap1p localization can be uncoupled from other Rap1p-dependent telomere functions. In addition, expression of Chlamydomonas GBP1 restores perinuclear, punctate Rap1p localization in rlf6 mutant cells. The functional complementation of a fungal gene by an algal gene suggests that Rlf6p and Gbp1p are members of a conserved class of single-stranded telomeric DNA-binding proteins that influence nuclear organization. Furthermore, it demonstrates that, despite their unusual codon bias, C. reinhardtii genes can be efficiently translated in Saccharomyces cerevisiae cells.
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The trimeric human single-stranded DNA-binding protein (HSSB; also called RP-A) plays an essential role in DNA replication, nucleotide excision repair, and homologous DNA recombination. The p34 subunit of HSSB is phosphorylated at the G1/S boundary of the cell cycle or upon exposure of cells to DNA damage-inducing agents including ionizing and UV radiation. We have previously shown that the phosphorylation of p34 is catalyzed by both cyclin-dependent kinase-cyclin A complex and DNA-dependent protein kinase. In this study, we investigated the effect of phosphorylation of p34 by these kinases on the replication and repair function of HSSB. We observed no significant difference with the unphosphorylated and phosphorylated forms of HSSB in the simian virus 40 DNA replication or nucleotide excision repair systems reconstituted with purified proteins. The phosphorylation status of the p34 subunit of HSSB was unchanged during the reactions. We suggest that the phosphorylated HSSB has no direct effect on the basic mechanism of DNA replication and nucleotide excision repair reactions in vitro, although we cannot exclude a role of p34 phosphorylation in modulating HSSB function in vivo through a yet poorly understood control pathway in the cellular response to DNA damage and replication.
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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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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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Transcription factors (TFs) control the temporal and spatial expression of target genes by interacting with DNA in a sequence-specific manner. Recent advances in high throughput experiments that measure TF-DNA interactions in vitro and in vivo have facilitated the identification of DNA binding sites for thousands of TFs. However, it remains unclear how each individual TF achieves its specificity, especially in the case of paralogous TFs that recognize distinct target genomic sites despite sharing very similar DNA binding motifs. In my work, I used a combination of high throughput in vitro protein-DNA binding assays and machine-learning algorithms to characterize and model the binding specificity of 11 paralogous TFs from 4 distinct structural families. My work proves that even very closely related paralogous TFs, with indistinguishable DNA binding motifs, oftentimes exhibit differential binding specificity for their genomic target sites, especially for sites with moderate binding affinity. Importantly, the differences I identify in vitro and through computational modeling help explain, at least in part, the differential in vivo genomic targeting by paralogous TFs. Future work will focus on in vivo factors that might also be important for specificity differences between paralogous TFs, such as DNA methylation, interactions with protein cofactors, or the chromatin environment. In this larger context, my work emphasizes the importance of intrinsic DNA binding specificity in targeting of paralogous TFs to the genome.
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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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The ability to regulate specific genes of energy metabolism in response to fasting and feeding is an important adaptation allowing survival of intermittent food supplies. However, little is known about transcription factors involved in such responses in higher organisms. We show here that gene expression in adipose tissue for adipocyte determination differentiation dependent factor (ADD) 1/sterol regulatory element binding protein (SREBP) 1, a basic-helix-loop-helix protein that has a dual DNA-binding specificity, is reduced dramatically upon fasting and elevated upon refeeding; this parallels closely the regulation of two adipose cell genes that are crucial in energy homeostasis, fatty acid synthetase (FAS) and leptin. This elevation of ADD1/SREBP1, leptin, and FAS that is induced by feeding in vivo is mimicked by exposure of cultured adipocytes to insulin, the classic hormone of the fed state. We also show that the promoters for both leptin and FAS are transactivated by ADD1/SREBP1. A mutation in the basic domain of ADD1/SREBP1 that allows E-box binding but destroys sterol regulatory element-1 binding prevents leptin gene transactivation but has no effect on the increase in FAS promoter function. Molecular dissection of the FAS promoter shows that most if not all of this action of ADD1/SREBP1 is through an E-box motif at -64 to -59, contained with a sequence identified previously as the major insulin response element of this gene. These results indicate that ADD1/SREBP1 is a key transcription factor linking changes in nutritional status and insulin levels to the expression of certain genes that regulate systemic energy metabolism.
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The Spec genes of the sea urchin Stronylocentrotus purpuratus serves as an excellent model for studying cell type-specific gene expression during early embryogenesis. The Spec1/Spec2 genes encode cytosolic calcium-binding proteins related to the calmodulin/troponin C/myosin light chain superfamily. Members of the Spec gene family are activated shortly after the sixth cleavage as the lineage-specific founder cells giving rise to aboral ectoderm are established, and the accumulation of the Spec mRNAs is limited exclusively to aboral ectoderm cell lineages. In this dissertation, the transcriptional regulation of the Spec genes was studied. Sequence comparisons of the Spec gene 5$\sp\prime$ flanking regions showed that a DNA block of approximately 800 bp from the 3$\sp\prime$ end of the first exon to the 5$\sp\prime$ end of a repetitive DNA element, termed RSR, was highly conserved. In Spec2a, the conserved region was a continuous stretch of DNA, but in Spec1 and Spec2c, DNA insertions interrupt the conserved sequence block and alter the relative placement of the RSR element and other 5$\sp\prime$ flanking DNA. Thus, drastic rearrangements have occurred within the putative control regions of the Spec genes. In vivo expression experiments using the sea urchin embryo gene-transfer system showed that while the 5$\sp\prime$ flanking regions of all three Spec genes conferred proper temporal activation to the reporter CAT gene, only the Spec2a 5$\sp\prime$ flanking region could restrict lacZ gene expression to aboral ectoderm cells. However, the Spec2a conserved region alone was not sufficient to confer proper spatial expression, suggesting that negative spatial elements are also associated with the proper activation of Spec2a. A major positive regulatory region, defined as the RSR enhancer, was identified between base pairs $-$631 and $-$443 on Spec2a. The RSR enhancer was essential for maximal activity and conferred preferential aboral ectoderm expression to a lacZ reporter gene. DNaseI footprinting and band-shift analysis of the RSR enhancer revealed multiple DNA-elements. One of the elements, an A/T-rich sequence called the A/T palindrome was studied in detail. This element binds a single 45-kDa nuclear protein, the A/T palindrome binding protein (A/TBP), whose DNA-binding specificity suggests a possible relationship with the bicoid-class homeodomain proteins. Mutated A/T palindromes are incapable of binding the 45-kDa protein and lower promoter activity by 8-fold. DNA-binding activity for A/TBP is low in unfertilized eggs, increases by the 16-cell stage and continues rising in blastulae. These data suggest that A/TBP plays a major role in the activation of the Spec2a gene in aboral ectoderm cells. ^
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Establishment of a myogenic phenotype involves antagonism between cell proliferation and differentiation. The recent identification of the MyoD family of muscle-specific transcription factors provides opportunities to dissect at the molecular level the mechanisms through which defined cell type-specific transcription factors respond to environmental cues and regulate differentiation programs. This project is aimed at elucidation of the molecular mechanism whereby growth factors repress myogenesis. Initial studies demonstrated that nuclear oncogenes such as c-fos, junB and c-jun are immediate early genes that respond to serum and TGF-$\beta$. Using the muscle creatine kinase (MCK) enhancer linked to the reporter gene CAT as a marker for differentiation, we showed that transcriptional function of myogenin can be disrupted in the presence of c-Fos, JunB and cjun. In contrast, JunD, which shares DNA-binding specificity with JunB and c-Jun but is expressed constitutively in muscle cells, failed to show the inhibition. The repression by Fos and Jun is targeted at KE-2 motif, the same sequence that mediates myogenin-dependent activation and muscle-specific transactivation. Deletion analysis indicated that the transactivation domain of c-Jun at the N-terminus is responsible for the repression. Considering that myogenin is a phosphoprotein and cAMP and TPA are able to regulate myogenesis, we examined whether constitutively active protein kinase C (PKC) and protein kinase A (PKA) could substitute for exogenous growth factors and prevent transcription activation by myogenin. Indeed, the basic region of myogenin is phosphorylated by PKC at a threonine that is conserved in all members of the MyoD family. Phosphorylation at this site attenuates DNA binding activity of myogenin. Protein kinase A can also phosphorylate myogenin in a region adjacent to the DNA binding domain. However, phosphorylation at this site is insufficient to abrogate myogenin's DNA binding capacity, suggesting that PKA and PKC may affect myogenin transcriptional activity through different mechanisms. These findings provide insight into the mechanisms through which growth factor signals negatively regulate the muscle differentiation program and contribute to an understanding of signal transducing pathways between the cell membrane and nucleus. ^