Halophilic adaptation of protein–DNA interactions

2003 ◽  
Vol 31 (3) ◽  
pp. 677-680 ◽  
Author(s):  
S. Bergqvist ◽  
M.A. Williams ◽  
R. O'Brien ◽  
J.E. Ladbury

Pyrococcus woesei (Pw) is an archaeal organism adapted to living in conditions of elevated salt and temperature. Thermodynamic data reveal that the interaction between the TATA-box-binding protein (TBP) from this organism and DNA has an entirely different character to the same interaction in mesophilic counterparts. In the case of the PwTBP, the affinity of its interaction with DNA increases with increasing salt concentration. The opposite effect is observed in all known mesophilic protein–DNA interactions. The halophilic behaviour can be attributed to sequestration of cations into the protein–DNA complex. By mutating residues in the PwTBP DNA-binding site, potential sites of cation interaction can be removed. These mutations have a significant effect on the binding characteristics, and the halophilic nature of the PwTBP–DNA interaction can be reversed, and made to resemble that of a mesophile, in just three mutations. The genes of functionally homologous proteins in organisms existing in different environments show that adaptation is most often accompanied by mutation of an existing protein. However, the importance of any individual residue to a phenotypic characteristic is usually difficult to assess amongst the multitude of changes that occur over evolutionary time. Since the halophilic nature of this protein can be attributed to only three mutations, this reveals that the important phenotype of halophilicity could be rapidly acquired in evolutionary time.

2014 ◽  
Vol 5 (1) ◽  
pp. 21-43 ◽  
Author(s):  
Subrata Batabyal ◽  
Susobhan Choudhury ◽  
Dilip Sao ◽  
Tanumoy Mondol ◽  
Samir Kumar Pal

AbstractThe interactions between protein-DNA are essential for various biological activities. In this review, we provide an overview of protein-DNA interactions that emphasizes the importance of dynamical aspects. We divide protein-DNA interactions into two categories: nonspecific and specific and both the categories would be discussed highlighting some of our relevant work. In the case of nonspecific protein-DNA interaction, solvation studies (picosecond and femtosecond-resolved) explore the role environmental dynamics and change in the micropolarity around DNA molecules upon complexation with histone protein (H1). While exploring the specific protein-DNA interaction at λ-repressor-operator sites interaction, particularly OR1 and OR2, it was observed that the interfacial water dynamics is minimally perturbed upon interaction with DNA, suggesting the labile interface in the protein-DNA complex. Förster resonance energy transfer (FRET) study revealed that the structure of the protein is more compact in repressor-OR2 complex than in the repressor-OR1 complex. Fluorescence anisotropy studies indicated enhanced flexibility of the C-terminal domain of the repressor at fast timescales after complex formation with OR1. The enhanced flexibility and different conformation of the C-terminal domain of the repressor upon complexation with OR1 DNA compared to OR2 DNA were found to have pronounced effect on the rate of photoinduced electron transfer.


2017 ◽  
Vol 19 (48) ◽  
pp. 32459-32472 ◽  
Author(s):  
Sandip Mondal ◽  
Kaushik Chakraborty ◽  
Sanjoy Bandyopadhyay

Protein–DNA interactions play crucial roles in different stages of genetic activities, such as replication of genome, initiation of transcription,etc.


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandra Stützer ◽  
Luisa M. Welp ◽  
Monika Raabe ◽  
Timo Sachsenberg ◽  
Christin Kappert ◽  
...  

Abstract Protein–DNA interactions are key to the functionality and stability of the genome. Identification and mapping of protein–DNA interaction interfaces and sites is crucial for understanding DNA-dependent processes. Here, we present a workflow that allows mass spectrometric (MS) identification of proteins in direct contact with DNA in reconstituted and native chromatin after cross-linking by ultraviolet (UV) light. Our approach enables the determination of contact interfaces at amino-acid level. With the example of chromatin-associated protein SCML2 we show that our technique allows differentiation of nucleosome-binding interfaces in distinct states. By UV cross-linking of isolated nuclei we determined the cross-linking sites of several factors including chromatin-modifying enzymes, demonstrating that our workflow is not restricted to reconstituted materials. As our approach can distinguish between protein–RNA and DNA interactions in one single experiment, we project that it will be possible to obtain insights into chromatin and its regulation in the future.


10.1038/836 ◽  
1998 ◽  
Vol 5 (7) ◽  
pp. 579-584 ◽  
Author(s):  
Peter Agback ◽  
Herbert Baumann ◽  
Stefan Knapp ◽  
Rudolf Ladenstein ◽  
Torleif Härd

Applied Nano ◽  
2022 ◽  
Vol 3 (1) ◽  
pp. 16-41
Author(s):  
Aurimas Kopūstas ◽  
Mindaugas Zaremba ◽  
Marijonas Tutkus

Protein-DNA interactions are the core of the cell’s molecular machinery. For a long time, conventional biochemical methods served as a powerful investigatory basis of protein-DNA interactions and target search mechanisms. Currently single-molecule (SM) techniques have emerged as a complementary tool for studying these interactions and have revealed plenty of previously obscured mechanistic details. In comparison to the traditional ones, SM methods allow direct monitoring of individual biomolecules. Therefore, SM methods reveal reactions that are otherwise hidden by the ensemble averaging observed in conventional bulk-type methods. SM biophysical techniques employing various nanobiotechnology methods for immobilization of studied molecules grant the possibility to monitor individual reaction trajectories of biomolecules. Next-generation in vitro SM biophysics approaches enabling high-throughput studies are characterized by much greater complexity than the ones developed previously. Currently, several high-throughput DNA flow-stretch assays have been published and have shown many benefits for mechanistic target search studies of various DNA-binding proteins, such as CRISPR-Cas, Argonaute, various ATP-fueled helicases and translocases, and others. This review focuses on SM techniques employing surface-immobilized and relatively long DNA molecules for studying protein-DNA interaction mechanisms.


1994 ◽  
Vol 14 (5) ◽  
pp. 3013-3021 ◽  
Author(s):  
F Q Li ◽  
H Ueda ◽  
S Hirose

Transcriptional activation by many eukaryotic sequence-specific regulators appears to be mediated through transcription factors which do not directly bind to DNA. BmFTZ-F1 is a silkworm counterpart of FTZ-F1, a sequence-specific activator of the fushi tarazu gene in Drosophila melanogaster. We report here the isolation of 18- and 22-kDa polypeptides termed MBF1 and MBF2, respectively, that form a heterodimer and mediate activation of in vitro transcription from the fushi tarazu promoter by BmFTZ-F1. Neither MBF1, MBF2, nor a combination of them binds to DNA. MBF1 interacts with BmFTZ-F1 and stabilizes the BmFTZ-F1-DNA complex. MBF1 also makes direct contact with TATA-binding protein (TBP). Both MBF1 and MBF2 are necessary to form a complex between BmFTZ-F1 and TBP. We propose a model in which MBF1 and MBF2 form a bridge between BmFTZ-F1 and TBP and mediate transactivation by stabilizing the protein-DNA interactions.


2019 ◽  
Vol 48 (2) ◽  
pp. e9-e9
Author(s):  
Joshua L Wetzel ◽  
Mona Singh

Abstract We are now in an era where protein–DNA interactions have been experimentally assayed for thousands of DNA-binding proteins. In order to infer DNA-binding specificities from these data, numerous sophisticated computational methods have been developed. These approaches typically infer DNA-binding specificities by considering interactions for each protein independently, ignoring related and potentially valuable interaction information across other proteins that bind DNA via the same structural domain. Here we introduce a framework for inferring DNA-binding specificities by considering protein–DNA interactions for entire groups of structurally similar proteins simultaneously. We devise both constrained optimization and label propagation algorithms for this task, each balancing observations at the individual protein level against dataset-wide consistency of interaction preferences. We test our approaches on two large, independent Cys2His2 zinc finger protein–DNA interaction datasets. We demonstrate that jointly inferring specificities within each dataset individually dramatically improves accuracy, leading to increased agreement both between these two datasets and with a fixed external standard. Overall, our results suggest that sharing protein–DNA interaction information across structurally similar proteins is a powerful means to enable accurate inference of DNA-binding specificities.


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