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Hickey CM, Xie Y, Hochstrasser M. DNA binding by the MATα2 transcription factor controls its access to alternative ubiquitin-modification pathways. Mol Biol Cell 2018; 29:542-556. [PMID: 29298839 PMCID: PMC6004586 DOI: 10.1091/mbc.e17-10-0589] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Revised: 12/19/2017] [Accepted: 12/27/2017] [Indexed: 11/16/2022] Open
Abstract
Like many transcription factors, the yeast protein MATalpha2 (α2) undergoes rapid proteolysis via the ubiquitin-proteasome system (UPS). At least two ubiquitylation pathways regulate α2 degradation: one pathway utilizes the ubiquitin ligase (E3) Doa10 and the other the heterodimeric E3 Slx5/Slx8. Doa10 is a transmembrane protein of the endoplasmic reticulum/inner nuclear membrane, whereas Slx5/Slx8 localizes to the nucleus and binds DNA nonspecifically. While a single protein can often be ubiquitylated by multiple pathways, the reasons for this “division of labor” are not well understood. Here we show that α2 mutants with impaired DNA binding become inaccessible to the Slx5/Slx8 pathway but are still rapidly degraded through efficient shunting to the Doa10 pathway. These results are consistent with the distinct localization of these E3s. We also characterized a novel class of DNA binding-defective α2 variants whose degradation is strongly impaired. Our genetic data suggest that this is due to a gain-of-function interaction that limits their access to Doa10. Together, these results suggest multiple ubiquitin-ligation mechanisms may have evolved to promote rapid destruction of a transcription factor that resides in distinct cellular subcompartments under different conditions. Moreover, gain-of-function mutations, which also occur with oncogenic forms of human transcription factors such as p53, may derail this fail-safe system.
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Affiliation(s)
- Christopher M Hickey
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06520
| | - Yang Xie
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06520
| | - Mark Hochstrasser
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06520
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Solieri L, Dakal TC, Giudici P, Cassanelli S. Sex-determination system in the diploid yeast Zygosaccharomyces sapae. G3 (BETHESDA, MD.) 2014; 4:1011-25. [PMID: 24939186 PMCID: PMC4065246 DOI: 10.1534/g3.114.010405] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2014] [Accepted: 04/06/2014] [Indexed: 11/18/2022]
Abstract
Sexual reproduction and breeding systems are driving forces for genetic diversity. The mating-type (MAT) locus represents a mutation and chromosome rearrangement hotspot in yeasts. Zygosaccharomyces rouxii complex yeasts are naturally faced with hostile low water activity (aw) environments and are characterized by gene copy number variation, genome instability, and aneuploidy/allodiploidy. Here, we investigated sex-determination system in Zygosaccharomyces sapae diploid strain ABT301(T), a member of the Z. rouxii complex. We cloned three divergent mating type-like (MTL) α-idiomorph sequences and designated them as ZsMTLα copies 1, 2, and 3. They encode homologs of Z. rouxii CBS 732(T) MATα2 (amino acid sequence identities spanning from 67.0 to 99.5%) and MATα1 (identity range 81.5-99.5%). ABT301(T) possesses two divergent HO genes encoding distinct endonucleases 100% and 92.3% identical to Z. rouxii HO. Cloning of MATA: -idiomorph resulted in a single ZsMTLA: locus encoding two Z. rouxii-like proteins MATA: 1 and MATA: 2. To assign the cloned ZsMTLα and ZsMTLA: idiomorphs as MAT, HML, and HMR cassettes, we analyzed their flanking regions. Three ZsMTLα loci exhibited the DIC1-MAT-SLA2 gene order canonical for MAT expression loci. Furthermore, four putative HML cassettes were identified, two containing the ZsMTLα copy 1 and the remaining harboring ZsMTLα copies 2 and 3. Finally, the ZsMTLA: locus was 3'-flanked by SLA2, suggesting the status of MAT expression locus. In conclusion, Z. sapae ABT301(T) displays an aααα genotype missing of the HMR silent cassette. Our results demonstrated that mating-type switching is a hypermutagenic process in Z. rouxii complex that generates genetic diversity de novo. This error-prone mechanism could be suitable to generate progenies more rapidly adaptable to hostile environments.
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Affiliation(s)
- Lisa Solieri
- Department of Life Sciences, University of Modena and Reggio Emilia, 42122, Reggio Emilia, Italy
| | - Tikam Chand Dakal
- Department of Life Sciences, University of Modena and Reggio Emilia, 42122, Reggio Emilia, Italy
| | - Paolo Giudici
- Department of Life Sciences, University of Modena and Reggio Emilia, 42122, Reggio Emilia, Italy
| | - Stefano Cassanelli
- Department of Life Sciences, University of Modena and Reggio Emilia, 42122, Reggio Emilia, Italy
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Marathe A, Bansal M. The 5-Methyl Group in Thymine Dynamically Influences the Structure of A-Tracts in DNA at the Local and Global Level. J Phys Chem B 2010; 114:5534-46. [DOI: 10.1021/jp911055x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Arvind Marathe
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore - 12, India
| | - Manju Bansal
- Molecular Biophysics Unit, Indian Institute of Science, Bangalore - 12, India
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Lu M, Yang J, Ren Z, Sabui S, Espejo A, Bedford MT, Jacobson RH, Jeruzalmi D, McMurray JS, Chen X. Crystal structure of the three tandem FF domains of the transcription elongation regulator CA150. J Mol Biol 2009; 393:397-408. [PMID: 19660470 DOI: 10.1016/j.jmb.2009.07.086] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2009] [Revised: 07/27/2009] [Accepted: 07/29/2009] [Indexed: 10/20/2022]
Abstract
FF domains are small protein-protein interaction modules that have two flanking conserved phenylalanine residues. They are present in proteins involved in transcription, RNA splicing, and signal transduction, and often exist in tandem arrays. Although several individual FF domain structures have been determined by NMR, the tandem nature of most FF domains has not been revealed. Here we report the 2.7-A-resolution crystal structure of the first three FF domains of the human transcription elongation factor CA150. Each FF domain is composed of three alpha-helices and a 3(10) helix between alpha-helix 2 and alpha-helix 3. The most striking feature of the structure is that an FF domain is connected to the next by an alpha-helix that continues from helix 3 to helix 1 of the next. The consequent elongated arrangement allows exposure of many charged residues within the region that can be engaged in interaction with other molecules. Binding studies using a peptide ligand suggest that a specific conformation of the FF domains might be required to achieve higher-affinity binding. Additionally, we explore potential DNA binding of the FF construct used in this study. Overall, we provide the first crystal structure of an FF domain and insights into the tandem nature of the FF domains and suggest that, in addition to protein binding, FF domains might be involved in DNA binding.
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Affiliation(s)
- Ming Lu
- Department of Biochemistry and Molecular Biology, University of Texas M. D. Anderson Cancer Center, Houston, 77030, USA
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Energetics of the protein-DNA-water interaction. BMC STRUCTURAL BIOLOGY 2007; 7:4. [PMID: 17214883 PMCID: PMC1781455 DOI: 10.1186/1472-6807-7-4] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2006] [Accepted: 01/10/2007] [Indexed: 11/30/2022]
Abstract
Background To understand the energetics of the interaction between protein and DNA we analyzed 39 crystallographically characterized complexes with the HINT (Hydropathic INTeractions) computational model. HINT is an empirical free energy force field based on solvent partitioning of small molecules between water and 1-octanol. Our previous studies on protein-ligand complexes demonstrated that free energy predictions were significantly improved by taking into account the energetic contribution of water molecules that form at least one hydrogen bond with each interacting species. Results An initial correlation between the calculated HINT scores and the experimentally determined binding free energies in the protein-DNA system exhibited a relatively poor r2 of 0.21 and standard error of ± 1.71 kcal mol-1. However, the inclusion of 261 waters that bridge protein and DNA improved the HINT score-free energy correlation to an r2 of 0.56 and standard error of ± 1.28 kcal mol-1. Analysis of the water role and energy contributions indicate that 46% of the bridging waters act as linkers between amino acids and nucleotide bases at the protein-DNA interface, while the remaining 54% are largely involved in screening unfavorable electrostatic contacts. Conclusion This study quantifies the key energetic role of bridging waters in protein-DNA associations. In addition, the relevant role of hydrophobic interactions and entropy in driving protein-DNA association is indicated by analyses of interaction character showing that, together, the favorable polar and unfavorable polar/hydrophobic-polar interactions (i.e., desolvation) mostly cancel.
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Liu LA, Bader JS. Decoding transcriptional regulatory interactions. PHYSICA D. NONLINEAR PHENOMENA 2006; 224:174-181. [PMID: 17364011 PMCID: PMC1827156 DOI: 10.1016/j.physd.2006.09.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Transcription factor proteins control the temporal and spatial expression of genes by binding specific regulatory elements, or motifs, in DNA. Mapping a transcription factor to its motif is an important step towards defining the structure of transcriptional regulatory networks and understanding their dynamics. The information to map a transcription factor to its DNA binding specificity is in principle contained in the protein sequence. Nevertheless, methods that map directly from protein sequence to target DNA sequence have been lacking, and generation of regulatory maps has required experimental data. Here we describe a purely computational method for predicting transcription factor binding. The method calculates the free energy of binding between a transcription factor and possible target DNA sequences using thermodynamic integration. Approximations of additivity (each DNA basepair contributes independently to the binding energy) and linear response (the DNA-protein and DNA-solvent couplings are linear in an effective reaction coordinate representing the basepair character at a specific position) make the computations feasible and can be verified by more detailed simulations. Results obtained for MAT-alpha2, a yeast homeodomain transcription factor, are in good agreement with known results. This method promises to provide a general, computationally feasible route from a genome sequence to a gene regulatory network.
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Affiliation(s)
| | - Joel S. Bader
- Email address: (L. Angela Liu and Joel S. Bader). URL:www.jhubiomed.org (L. Angela Liu and Joel S. Bader)
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Abstract
Peptidyl arms extending from one protein domain to another protein domain mediate many important interactions in biology. A well-studied example of this type of protein-protein interaction occurs between the yeast homeodomain proteins, MAT alpha2 and MAT a1, which form a high-affinity heterodimer on DNA. The carboxyl-terminal arm extending from MAT alpha2 to MAT a1 has been proposed to produce an allosteric conformational change in the a1 protein that generates a very large increase in the DNA binding affinity of a1. Although early studies lent some support to this model, a more recent crystal structure determination of the free a1 protein argues against any allosteric change. This note presents a thermodynamic argument that accounts for the proteins' binding behavior, so that allosteric conformational changes are not required to explain the large affinity increase. The analysis presented here should be useful in analyzing binding behavior in other systems involving arm interactions.
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Affiliation(s)
- Robert Schleif
- Biology Department, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA.
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Siggers TW, Silkov A, Honig B. Structural alignment of protein--DNA interfaces: insights into the determinants of binding specificity. J Mol Biol 2004; 345:1027-45. [PMID: 15644202 DOI: 10.1016/j.jmb.2004.11.010] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2004] [Revised: 11/04/2004] [Accepted: 11/05/2004] [Indexed: 11/29/2022]
Abstract
A new method is introduced to structurally align interfaces observed in protein--DNA complexes. The method is based on a procedure that describes the interfacial geometry in terms of the spatial relationships between individual amino acid--nucleotide pairs. An amino acid--amino acid similarity matrix, S, is defined that provides a quantitative measure of the geometric relationships of amino acids in different interfaces and the entire stretch of "local" DNA within some distance of each amino acid. S is used as a substitution matrix in a dynamic programming algorithm that aligns the interfacial amino acids of the two complexes. The quality of the alignment is determined by an interface alignment score, IAS, that provides a quantitative measure of the similarity in the docking geometry between two protein--DNA complexes. We have clustered a large set of protein--DNA complexes based on their IAS values. In general, proteins within a single family form identifiable clusters. Subgroup clustering is often observed within families offering a fine-grained description of docking geometries. Although proteins with similar folds tend to dock in similar ways, important differences are observed even for structural motifs that almost perfectly align. Relationships are observed between the interfaces formed in cognate and non-cognate complexes involving the same proteins indicating a strong driving force to maintain certain contacts, even if this requires a distortion of the DNA. There are cases where inter-family similarities are greater than intra-family similarities. Our method offers the possibility of comparing different protein--DNA interfaces in a detailed, objective and quantitative fashion. This offers the possibility of new approaches to the description of the determinants of molecular recognition and to the prediction of protein and DNA sequence combinations that are optimal for binding.
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Affiliation(s)
- Trevor W Siggers
- Department of Biochemistry and Molecular Biophysics, Howard Hughes Medical Institute, Columbia University, 630 West 168th Street, New York, NY 10032, USA
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Lamoureux JS, Maynes JT, Glover JNM. Recognition of 5'-YpG-3' sequences by coupled stacking/hydrogen bonding interactions with amino acid residues. J Mol Biol 2004; 335:399-408. [PMID: 14672650 DOI: 10.1016/j.jmb.2003.10.071] [Citation(s) in RCA: 49] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The combined biochemical and structural study of hundreds of protein-DNA complexes has indicated that sequence-specific interactions are mediated by two mechanisms termed direct and indirect readout. Direct readout involves direct interactions between the protein and base-specific atoms exposed in the major and minor grooves of DNA. For indirect readout, the protein recognizes DNA by sensing conformational variations in the structure dependent on nucleotide sequence, typically through interactions with the phosphodiester backbone. Based on our recent structure of Ndt80 bound to DNA in conjunction with a search of the existing PDB database, we propose a new method of sequence-specific recognition that utilizes both direct and indirect readout. In this mode, a single amino acid side-chain recognizes two consecutive base-pairs. The 3'-base is recognized by canonical direct readout, while the 5'-base is recognized through a variation of indirect readout, whereby the conformational flexibility of the particular dinucleotide step, namely a 5'-pyrimidine-purine-3' step, facilitates its recognition by the amino acid via cation-pi interactions. In most cases, this mode of DNA recognition helps explain the sequence specificity of the protein for its target DNA.
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Affiliation(s)
- Jason S Lamoureux
- Department of Biochemistry, University of Alberta, Edmonton, Alta., Canada T6G 2H7
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Cliff MJ, Ladbury JE. A survey of the year 2002 literature on applications of isothermal titration calorimetry. J Mol Recognit 2004; 16:383-91. [PMID: 14732929 DOI: 10.1002/jmr.648] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Isothermal titration calorimetry (ITC) is becoming widely accepted as a key instrument in any laboratory in which quantification of biomolecular interactions is a requisite. The method has matured with respect to general acceptance and application development over recent years. The number of publications on ITC has grown exponentially over the last 10 years, reflecting the general utility of the method. Here all the published works of the year 2002 in this area have been surveyed. We review the broad range of systems to which ITC is being directed and classify these into general areas highlighting key publications of interest. This provides an overview of what can be achieved using this method and what developments are likely to occur in the near future.
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Affiliation(s)
- Matthew J Cliff
- Department of Biochemistry and Molecular Biology, University College London, Gower Street, London WC1E 6BT, UK
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