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Choi SR, Lee J, Seo YJ, Jin HS, Ahn HB, Go Y, Kim NK, Ryu KS, Lee JH. Molecular basis of facilitated target search and sequence discrimination of TALE homeodomain transcription factor Meis1. Nat Commun 2024; 15:6984. [PMID: 39143123 PMCID: PMC11325038 DOI: 10.1038/s41467-024-51297-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 08/05/2024] [Indexed: 08/16/2024] Open
Abstract
Transcription factors specifically bind to their consensus sequence motifs and regulate transcription efficiency. Transcription factors are also able to non-specifically contact the phosphate backbone of DNA through electrostatic interaction. The homeodomain of Meis1 TALE human transcription factor (Meis1-HD) recognizes its target DNA sequences via two DNA contact regions, the L1-α1 region and the α3 helix (specific binding mode). This study demonstrates that the non-specific binding mode of Meis1-HD is the energetically favored process during DNA binding, achieved by the interaction of the L1-α1 region with the phosphate backbone. An NMR dynamics study suggests that non-specific binding might set up an intermediate structure which can then rapidly and easily find the consensus region on a long section of genomic DNA in a facilitated binding process. Structural analysis using NMR and molecular dynamics shows that key structural distortions in the Meis1-HD-DNA complex are induced by various single nucleotide mutations in the consensus sequence, resulting in decreased DNA binding affinity. Collectively, our results elucidate the detailed molecular mechanism of how Meis1-HD recognizes single nucleotide mutations within its consensus sequence: (i) through the conformational features of the α3 helix; and (ii) by the dynamic features (rigid or flexible) of the L1 loop and the α3 helix. These findings enhance our understanding of how single nucleotide mutations in transcription factor consensus sequences lead to dysfunctional transcription and, ultimately, human disease.
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Affiliation(s)
- Seo-Ree Choi
- Department of Chemistry and RINS, Gyeongsang National University, Jinju, Gyeongsangnam-do, 52828, Republic of Korea
- Advanced Analysis Data Center, Korea Institute of Science and Technology, Seoul, 02456, Republic of Korea
| | - Juyong Lee
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, and College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
- Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
- Arontier Co., Seoul, 06735, Republic of Korea.
| | - Yeo-Jin Seo
- Department of Chemistry and RINS, Gyeongsang National University, Jinju, Gyeongsangnam-do, 52828, Republic of Korea
| | - Ho-Seong Jin
- Department of Chemistry and RINS, Gyeongsang National University, Jinju, Gyeongsangnam-do, 52828, Republic of Korea
| | - Hye-Bin Ahn
- Department of Chemistry and RINS, Gyeongsang National University, Jinju, Gyeongsangnam-do, 52828, Republic of Korea
| | - Youyeon Go
- Department of Chemistry and RINS, Gyeongsang National University, Jinju, Gyeongsangnam-do, 52828, Republic of Korea
| | - Nak-Kyoon Kim
- Advanced Analysis Data Center, Korea Institute of Science and Technology, Seoul, 02456, Republic of Korea
| | - Kyoung-Seok Ryu
- Protein Structure Research Team, Korea Basic Science Institute, Cheongju, Chungcheongbuk-do, 28119, Republic of Korea
| | - Joon-Hwa Lee
- Department of Chemistry and RINS, Gyeongsang National University, Jinju, Gyeongsangnam-do, 52828, Republic of Korea
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Hu YX, Fei JW, Bie LH, Gao J. Simulation of the ligand-leaving process of the human heat shock protein. Phys Chem Chem Phys 2023; 25:28465-28472. [PMID: 37846475 DOI: 10.1039/d3cp03372d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
The human heat shock protein plays a critical role in various diseases and is an important target for pharmacological modulation. Simulation of conformational changes and free energy profiles of the human heat shock protein derived by the ligand-leaving process is a challenging issue. In this work, steered molecular dynamics simulation was adopted to simulate the ligand-leaving process. Two composite systems of heat shock protein NHSP90 and small molecules 6FJ and 6G7 are selected as research objects. The free energy during the leaving of ligand small molecules is calculated using conventional molecular dynamics simulation, steered molecular dynamics simulation (SMD), and the umbrella sampling method. We found that the a slower pulling velocity (0.001 nm ns-1) will result in 2.19 kcal mol-1, and the umbrella sampling method gives a value of 3.26 kcal mol-1 for the free energy difference for the two systems, which reasonably agrees with experimental results. A faster-pulling velocity (0.01 nm ns-1) leads to a large overestimation of free energy. At the same time, the conformational analysis indicated that the faster pulling velocity may lead to the conformational change of NHSP90, which was proved to be false by the slower pulling velocity and the umbrella sampling method.
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Affiliation(s)
- Yi-Xiao Hu
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.
| | - Jun-Wen Fei
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.
| | - Li-Hua Bie
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.
| | - Jun Gao
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, People's Republic of China.
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Clanor PB, Buchholz CN, Hayes JE, Friedman MA, White AM, Enke RA, Berndsen CE. Structural and functional analysis of the human cone‐rod homeobox transcription factor. Proteins 2022; 90:1584-1593. [PMID: 35255174 PMCID: PMC9271546 DOI: 10.1002/prot.26332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 11/30/2022]
Abstract
The cone‐rod homeobox (CRX) protein is a critical K50 homeodomain transcription factor responsible for the differentiation and maintenance of photoreceptor neurons in the vertebrate retina. Mutant alleles in the human gene encoding CRX result in a variety of distinct blinding retinopathies, including retinitis pigmentosa, cone‐rod dystrophy, and Leber congenital amaurosis. Despite the success of using in vitro biochemistry, animal models, and genomics approaches to study this clinically relevant transcription factor over the past 25 years since its initial characterization, there are no high‐resolution structures in the published literature for the CRX protein. In this study, we use bioinformatic approaches and small‐angle X‐ray scattering (SAXS) structural analysis to further understand the biochemical complexity of the human CRX homeodomain (CRX‐HD). We find that the CRX‐HD is a compact, globular monomer in solution that can specifically bind functional cis‐regulatory elements encoded upstream of retina‐specific genes. This study presents the first structural analysis of CRX, paving the way for a new approach to studying the biochemistry of this protein and its disease‐causing mutant protein variants.
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Affiliation(s)
| | - Christine N. Buchholz
- Department of Chemistry and Biochemistry James Madison University Harrisonburg Virginia USA
| | - Jonathan E. Hayes
- Department of Chemistry and Biochemistry James Madison University Harrisonburg Virginia USA
| | | | - Andrew M. White
- Department of Chemistry and Biochemistry James Madison University Harrisonburg Virginia USA
| | - Ray A. Enke
- Department of Biology James Madison University Harrisonburg Virginia USA
- Center for Genome and Metagenome Studies James Madison University Harrisonburg Virginia USA
| | - Christopher E. Berndsen
- Department of Chemistry and Biochemistry James Madison University Harrisonburg Virginia USA
- Center for Genome and Metagenome Studies James Madison University Harrisonburg Virginia USA
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Bie LH, Fei JW, Gao J. Molecular mechanism of methyl-dependent and spatial-specific DNA recognition of c-Jun homodimer. J Mol Model 2021; 27:227. [PMID: 34264385 DOI: 10.1007/s00894-021-04840-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 07/01/2021] [Indexed: 10/20/2022]
Abstract
DNA methylation is important in regulation of gene expression and normal development because it alters the interplay between protein and DNA. Experiments have shown that a single 5-methylcytosine at different CpG sites (mCpG) might have different effects on specific recognition, but the atomistic origin and dynamic details are largely unclear. In this work, we investigated the mechanism of monomethylation at different CpG sites in the cognate motif and the cooperativity of full methylation. By constructing four models of c-Jun/Jun protein binding to the 5[Formula: see text]-XGAGTCA-3[Formula: see text] (X represents C or methylated C) motif, we characterized the dynamics of the contact interface using the all-atom molecular dynamics method. Free energy analysis of MM/GBSA suggests that regardless of whether the C12pG13 site of the bottom strand is methylated, the effects from mC25 of the top strand are dominant and can moderately enhance the binding by [Formula: see text] 31 kcal/mol, whereas mC12 showed a relatively small contribution, in agreement with the experimental data. Remarkably, we found that this spatial-specific influence was induced by different regulatory rules. The influence of the mC25 site is mainly mediated by steric hindrance. The additional methyl group leads to the conformational changes in nearby residues and triggers an obvious structural bending in the protein, which results in the formation of a new T-Asn-C triad that enhances the specific recognition of TCA half-sites. The substitution of the methyl group at the mC12 site of the bottom strand breaks the original H-bonds directly. Such changes in electrostatic interactions also lead to the remote allosteric effects of protein by multifaceted interactions but have negligible contributions to binding. Although these two influence modes are different, they can both fine-tune the local environment, which might produce remote allosteric effects through protein-protein interactions. Further analysis reveals that the discrepancies in these two modes are primarily due to their location. Moreover, when both sites are methylated, the major determinant of binding specificity depends on the context and the location of the methylation site, which is the result of crosstalk and cooperativity.
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Affiliation(s)
- Li-Hua Bie
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China
| | - Jun-Wen Fei
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China
| | - Jun Gao
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, People's Republic of China.
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Xia J, Xu T, Qing J, Wang L, Tang J. Detection of Single Nucleotide Polymorphisms by Fluorescence Embedded Dye SYBR Green I Based on Graphene Oxide. Front Chem 2021; 9:631959. [PMID: 33869140 PMCID: PMC8044317 DOI: 10.3389/fchem.2021.631959] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Accepted: 02/11/2021] [Indexed: 11/28/2022] Open
Abstract
The detection of single nucleotide polymorphisms (SNPs) is of great significance in the early diagnosis of diseases and the rational use of drugs. Thus, a novel biosensor based on the quenching effect of fluorescence-embedded SYBR Green I (SG) dye and graphene oxide (GO) was introduced in this study. The probe DNA forms a double helix structure with perfectly complementary DNA (pcDNA) and 15 single-base mismatch DNA (smDNA) respectively. SG is highly intercalated with perfectly complementary dsDNA (pc-dsDNA) and exhibits strong fluorescence emission. Single-base mismatch dsDNA (SNPs) has a loose double-stranded structure and exhibits poor SG intercalation and low fluorescence sensing. At this time, the sensor still showed poor SNP discrimination. GO has a strong effect on single-stranded DNA (ssDNA), which can reduce the fluorescence response of probe DNA and eliminate background interference. And competitively combined with ssDNA in SNPs, quenching the fluorescence of SG/SNP, while the fluorescence value of pc-dsDNA was retained, increasing the signal-to-noise ratio. At this time, the sensor has obtained excellent SNP resolution. Different SNPs detect different intensities of fluorescence in the near-infrared region to evaluate the sensor's identification of SNPs. The experimental parameters such as incubation time, incubation temperature and salt concentration were optimized. Under optimal conditions, 1 nM DNA with 0–10 nM linear range and differentiate 5% SNP were achieved. The detection method does not require labeling, is low cost, simple in operation, exhibits high SNP discrimination and can be distinguished by SNP at room temperature.
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Affiliation(s)
- Jiaoyun Xia
- School of Chemistry and Food Engineering, Changsha University of Science and Technology, Changsha, China
| | - Tong Xu
- School of Chemistry and Food Engineering, Changsha University of Science and Technology, Changsha, China
| | - Jing Qing
- School of Chemistry and Food Engineering, Changsha University of Science and Technology, Changsha, China
| | - Lihua Wang
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China
| | - Junlong Tang
- School of Physics and Electronic Science, Changsha University of Science and Technology, Changsha, China
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