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Tawfeeq C, Song J, Khaniya U, Madej T, Wang J, Youkharibache P, Abrol R. Towards a structural and functional analysis of the immunoglobulin-fold proteome. Adv Protein Chem Struct Biol 2024; 138:135-178. [PMID: 38220423 DOI: 10.1016/bs.apcsb.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
The immunoglobulin fold (Ig fold) domain is a super-secondary structural motif consisting of a sandwich with two layers of β-sheets that is present in many proteins with very diverse biological functions covering a wide range of physiological processes. This domain presents a modular architecture built with β strands connected by variable length loops that has a highly conserved structural core of four β-strands and quite variable β-sheet extensions in the two sandwich layers that enable both divergent and convergent evolutionary mechanisms in the known Ig fold proteome. The central role of this Ig fold's structural plasticity in the evolutionary success of antibodies in our immune system is well established. Nature has also utilized this Ig fold in all domains of life in many different physiological contexts that go way beyond the immune system. Here we will present a structural and functional overview of the utilization of the Ig fold in different biological processes and in different cellular contexts to highlight some of the innumerable ways that this structural motif can interact in multidomain proteins to enable their diversity of functions. This includes shareable specific protein structure visualizations behind those functions that serve as starting points for further explorations of the biomolecular interactions spanning the Ig fold proteome. This overview also highlights how this Ig fold is being utilized through natural adaptation, engineering, and even building from scratch for a range of biotechnological applications.
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Affiliation(s)
- Caesar Tawfeeq
- Department of Chemistry and Biochemistry, California State University Northridge, Northridge, United States
| | - James Song
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States
| | - Umesh Khaniya
- Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, United States
| | - Thomas Madej
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States
| | - Jiyao Wang
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, United States
| | - Philippe Youkharibache
- Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, United States.
| | - Ravinder Abrol
- Department of Chemistry and Biochemistry, California State University Northridge, Northridge, United States.
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Al-nakhle HH, Yagoub HS, Anbarkhan SH, Alamri GA, Alsubaie NM. In Silico Evaluation of Coding and Non-Coding nsSNPs in the Thrombopoietin Receptor ( MPL) Proto-Oncogene: Assessing Their Influence on Protein Stability, Structure, and Function. Curr Issues Mol Biol 2023; 45:9390-9412. [PMID: 38132435 PMCID: PMC10742084 DOI: 10.3390/cimb45120589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/12/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
The thrombopoietin receptor (MPL) gene is a critical regulator of hematopoiesis, and any alterations in its structure or function can result in a range of hematological disorders. Non-synonymous single nucleotide polymorphisms (nsSNPs) in MPL have the potential to disrupt normal protein function, prompting our investigation into the most deleterious MPL SNPs and the associated structural changes affecting protein-protein interactions. We employed a comprehensive suite of bioinformatics tools, including PredictSNP, InterPro, ConSurf, I-Mutant2.0, MUpro, Musitedeep, Project HOPE, STRING, RegulomeDB, Mutpred2, CScape, and CScape Somatic, to analyze 635 nsSNPs within the MPL gene. Among the analyzed nsSNPs, PredictSNP identified 28 as significantly pathogenic, revealing three critical functional domains within MPL. Ten of these nsSNPs exhibited high conservation scores, indicating potential effects on protein structure and function, while 14 were found to compromise MPL protein stability. Although the most harmful nsSNPs did not directly impact post-translational modification sites, 13 had the capacity to substantially alter the protein's physicochemical properties. Some mutations posed a risk to vital protein-protein interactions crucial for hematological functions, and three non-coding region nsSNPs displayed significant regulatory potential with potential implications for hematopoiesis. Furthermore, 13 out of 21 nsSNPs evaluated were classified as high-risk pathogenic variants by Mutpred2. Notably, amino acid alterations such as C291S, T293N, D295G, and W435C, while impactful on protein stability and function, were deemed non-oncogenic "passenger" mutations. Our study underscores the substantial impact of missense nsSNPs on MPL protein structure and function. Given MPL's central role in hematopoiesis, these mutations can significantly disrupt hematological processes, potentially leading to a variety of disorders. The identified high-risk pathogenic nsSNPs may hold promise as potential biomarkers or therapeutic targets for hematological diseases. This research lays the foundation for future investigations into the MPL gene's role in the realm of hematological health and diseases.
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Affiliation(s)
- Hakeemah H. Al-nakhle
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Monawarah 42353, Saudi Arabia; (H.S.Y.); (S.H.A.); (N.M.A.)
| | - Hind S. Yagoub
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Monawarah 42353, Saudi Arabia; (H.S.Y.); (S.H.A.); (N.M.A.)
- Faculty of Medical Laboratory Sciences, Omdurman Islamic University, Omdurman 14415, Sudan
| | - Sadin H. Anbarkhan
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Monawarah 42353, Saudi Arabia; (H.S.Y.); (S.H.A.); (N.M.A.)
| | - Ghadah A. Alamri
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Monawarah 42353, Saudi Arabia; (H.S.Y.); (S.H.A.); (N.M.A.)
| | - Norah M. Alsubaie
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Monawarah 42353, Saudi Arabia; (H.S.Y.); (S.H.A.); (N.M.A.)
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3
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Desai M, Singh A, Pham D, Chowdhury SR, Sun B. Discovery and Visualization of the Hidden Relationships among N-Glycosylation, Disulfide Bonds, and Membrane Topology. Int J Mol Sci 2023; 24:16182. [PMID: 38003370 PMCID: PMC10671238 DOI: 10.3390/ijms242216182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/02/2023] [Accepted: 11/08/2023] [Indexed: 11/26/2023] Open
Abstract
Membrane proteins (MPs) are functionally important but structurally complex. In particular, MPs often carry three structural features, i.e., transmembrane domains (TMs), disulfide bonds (SSs), and N-glycosylation (N-GLYCO). All three features have been intensively studied; however, how the three features potentially correlate has been less addressed in the literature. With the growing accuracy from computational prediction, we used publicly available information on SSs and N-GLYCO and analyzed the potential relationships among post-translational modifications (PTMs) and the predicted membrane topology in the human proteome. Our results suggested a very close relationship between SSs and N-GLYCO that behaved similarly, whereas a complementary relation between the TMs and the two PTMs was also revealed, in which the high SS and/or N-GLYCO presence is often accompanied by a low TM occurrence in a protein. Furthermore, the occurrence of SSs and N-GLYCO in a protein heavily relies on the protein length; however, TMs seem not to possess such length dependence. Finally, SSs exhibits larger potential dynamics than N-GLYCO, which is confined by the presence of sequons. The special classes of proteins possessing extreme or unique patterns of the three structural features are comprehensively identified, and their structural features and potential dynamics help to identify their susceptibility to different physiological and pathophysiological insults, which could help drug development and protein engineering.
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Affiliation(s)
- Manthan Desai
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
- Department of Computing Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada; (A.S.); (D.P.); (S.R.C.)
| | - Amritpal Singh
- Department of Computing Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada; (A.S.); (D.P.); (S.R.C.)
| | - David Pham
- Department of Computing Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada; (A.S.); (D.P.); (S.R.C.)
| | - Syed Rafid Chowdhury
- Department of Computing Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada; (A.S.); (D.P.); (S.R.C.)
| | - Bingyun Sun
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
- Department of Chemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
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Choi S, Prabhakar PK, Chowdhury R, Pendergast TH, Urbanowicz BR, Maranas C, Devos KM. A single amino acid change led to structural and functional differentiation of PvHd1 to control flowering in switchgrass. J Exp Bot 2023; 74:5532-5546. [PMID: 37402629 PMCID: PMC10540729 DOI: 10.1093/jxb/erad255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 07/03/2023] [Indexed: 07/06/2023]
Abstract
Switchgrass, a forage and bioenergy crop, occurs as two main ecotypes with different but overlapping ranges of adaptation. The two ecotypes differ in a range of characteristics, including flowering time. Flowering time determines the duration of vegetative development and therefore biomass accumulation, a key trait in bioenergy crops. No causal variants for flowering time differences between switchgrass ecotypes have, as yet, been identified. In this study, we mapped a robust flowering time quantitative trait locus (QTL) on chromosome 4K in a biparental F2 population and characterized the flowering-associated transcription factor gene PvHd1, an ortholog of CONSTANS in Arabidopsis and Heading date 1 in rice, as the underlying causal gene. Protein modeling predicted that a serine to glycine substitution at position 35 (p.S35G) in B-Box domain 1 greatly altered the global structure of the PvHd1 protein. The predicted variation in protein compactness was supported in vitro by a 4 °C shift in denaturation temperature. Overexpressing the PvHd1-p.35S allele in a late-flowering CONSTANS-null Arabidopsis mutant rescued earlier flowering, whereas PvHd1-p.35G had a reduced ability to promote flowering, demonstrating that the structural variation led to functional divergence. Our findings provide us with a tool to manipulate the timing of floral transition in switchgrass cultivars and, potentially, expand their cultivation range.
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Affiliation(s)
- Soyeon Choi
- Department of Genetics, University of Georgia, Athens, GA 30602, USA
| | - Pradeep K Prabhakar
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA
| | - Ratul Chowdhury
- Chemical Engineering, Penn State University, State College, PA 16801, USA
| | - Thomas H Pendergast
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
- Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA 30602, USA
| | - Breeanna R Urbanowicz
- Complex Carbohydrate Research Center, University of Georgia, Athens, GA 30602, USA
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602, USA
| | - Costas Maranas
- Chemical Engineering, Penn State University, State College, PA 16801, USA
| | - Katrien M Devos
- Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
- Department of Crop and Soil Sciences, University of Georgia, Athens, GA 30602, USA
- Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA 30602, USA
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Iqbal S, Begum F, Nyamai DW, Jalal N, Shaw P. An Integrated Computational Analysis of High-Risk SNPs in Angiopoietin-like Proteins (ANGPTL3 and ANGPTL8) Reveals Perturbed Protein Dynamics Associated with Cancer. Molecules 2023; 28:4648. [PMID: 37375208 DOI: 10.3390/molecules28124648] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/01/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Angiopoietin-like proteins (ANGPTL) constitute a family of eight proteins (1-8) which play a pivotal role in the regulation of various pathophysiological processes. The current study sought to identify high-risk, "non-synonymous, single-nucleotide polymorphisms" (nsSNPs) in both ANGPTL3 and ANGPTL8 to evaluate the role that these nsSNPs play in various types of cancer. We retrieved a total of 301 nsSNPs from various databases; 79 of these candidates constitute high-risk nsSNPs. Moreover, we identified eleven high-risk nsSNPs that cause various types of cancer: seven candidates for ANGPTL3 (L57H, F295L, L309F, K329M, R332L, S348C, and G409R) and four candidates for ANGPTL8 (P23L, R85W, R138S, and E148D). Protein-protein interaction analysis revealed a strong association of ANGPTL proteins with several tumor-suppressor proteins such as ITGB3, ITGAV, and RASSF5. 'Gene-expression profiling interactive analysis' (GEPIA) showed that expression of ANGPTL3 is significantly downregulated in five cancers: sarcoma (SARC); cholangio carcinoma (CHOL); kidney chromophobe carcinoma (KICH); kidney renal clear cell carcinoma (KIRC); and kidney renal papillary cell carcinoma (KIRP). GEPIA also showed that expression of ANGPTL8 remains downregulated in three cancers: CHOL; glioblastoma (GBM); and breast invasive carcinoma (BRCA). Survival rate analysis indicated that both upregulation and downregulation of ANGPTL3 and ANGPTL8 leads to low survival rates in various types of cancer. Overall, the current study revealed that both ANGPTL3 and ANGPTL8 constitute potential prognostic biomarkers for cancer; moreover, nsSNPs in these proteins might lead to the progression of cancer. However, further in vivo investigation will be helpful to validate the role of these proteins in the biology of cancer.
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Affiliation(s)
- Sajid Iqbal
- Oujiang Laboratory (Zhejiang Laboratory for Regenerative Medicine, Vision and Brain Health), Wenzhou 325000, China
| | - Farida Begum
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan 23200, Pakistan
| | - Dorothy Wavinya Nyamai
- Oujiang Laboratory (Zhejiang Laboratory for Regenerative Medicine, Vision and Brain Health), Wenzhou 325000, China
- Department of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi 00200, Kenya
| | - Nasir Jalal
- Oujiang Laboratory (Zhejiang Laboratory for Regenerative Medicine, Vision and Brain Health), Wenzhou 325000, China
| | - Peter Shaw
- Oujiang Laboratory (Zhejiang Laboratory for Regenerative Medicine, Vision and Brain Health), Wenzhou 325000, China
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6
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Colautti J, Bullen NP, Whitney JC. Lack of evidence that Pseudomonas aeruginosa AmpDh3-PA0808 constitute a type VI secretion system effector-immunity pair. Mol Microbiol 2023; 119:262-274. [PMID: 36577706 DOI: 10.1111/mmi.15021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
Type VI secretion systems (T6SSs) are cell envelope-spanning protein complexes that Gram-negative bacteria use to inject a diverse arsenal of antibacterial toxins into competitor cells. Recently, Wang et al. reported that the H2-T6SS of Pseudomonas aeruginosa delivers the peptidoglycan recycling amidase, AmpDh3, into the periplasm of recipient cells where it is proposed to act as a peptidoglycan degrading toxin. They further reported that PA0808, the open reading frame downstream of AmpDh3, encodes an immunity protein that localizes to the periplasm where it binds to and inactivates intercellularly delivered AmpDh3, thus protecting against its toxic activity. Given that AmpDh3 has an established role in cell wall homeostasis and that no precedent exists for cytosolic enzymes moonlighting as T6SS effectors, we attempted to replicate these findings. We found that cells lacking PA0808 are not susceptible to bacterial killing by AmpDh3 and that PA0808 and AmpDh3 do not physically interact in vitro or in vivo. Additionally, we found no evidence that AmpDh3 is exported from cells, including by strains with a constitutively active H2-T6SS. Finally, subcellular fractionation experiments and a 1.97 Å crystal structure reveal that PA0808 does not contain a canonical signal peptide or localize to the correct cellular compartment to confer protection against a cell wall targeting toxin. Taken together, these results cast doubt on the assertion that AmpDh3-PA0808 constitutes an H2-T6SS effector-immunity pair.
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Affiliation(s)
- Jake Colautti
- Michael DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.,Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Nathan P Bullen
- Michael DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.,Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
| | - John C Whitney
- Michael DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.,Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada.,David Braley Center for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada
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Zhang W, Zeng W, Li P, Feng J, Zhang Y, Jin S, Deng J, Qi S, Lu H. The effects of missense OPN3 mutations in melanocytic lesions on protein structure and light-sensitive function. Exp Dermatol 2022; 31:1932-1938. [PMID: 36017595 DOI: 10.1111/exd.14666] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 07/25/2022] [Accepted: 08/23/2022] [Indexed: 12/14/2022]
Abstract
Opsin 3 (OPN3), a member of the light-sensitive, retinal-dependent opsin family, is widely expressed in a variety of human tissues and plays a multitude of light-dependent and light-independent roles. We recently identified five missense variants of OPN3, including p. I51T, p. V134A, p. V183I, p. M256I and p. C331Y, in human melanocytic tumours. However, it remains unclear how these OPN3 variants affect OPN3 protein structure and function. Herein, we conducted structural and functional studies of these variant proteins in OPN3 by molecular docking and molecular dynamics simulations. Moreover, we performed in vitro fluorescence calcium imaging to assess the functional properties of five single-nucleotide variant (SNV) proteins using a site-directed mutagenesis method. Notably, the p. I51T variant was not able to effectively dock with 11-cis-retinal. Additionally, in vitro, the p. I51T SNVs failed to induce any detectable changes in intracellular Ca2+ concentration at room temperature. Taken together, these results reveal that five SNVs in the OPN3 gene have deleterious effects on protein structure and function, suggesting that these mutations, especially the p. I51T variant, significantly disrupt the canonical function of the OPN3 protein. Our findings provide new insight into the role of OPN3 variants in the loss of protein function.
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Affiliation(s)
- Wei Zhang
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Wen Zeng
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Pinhao Li
- Department of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Jianglong Feng
- Department of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Yulei Zhang
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Shuqi Jin
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Jialing Deng
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Shengwen Qi
- Department of Physics, Dezhou University, Dezhou, Shandong, China
| | - Hongguang Lu
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
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Xiang G, Huang L, Zhang X, Wang N, Wang H, Mu Y, Li K, Liu Z. Molecular Characteristics and Promoter Analysis of Porcine COL1A1. Genes (Basel) 2022; 13:1971. [PMID: 36360208 PMCID: PMC9689670 DOI: 10.3390/genes13111971] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/20/2022] [Accepted: 10/24/2022] [Indexed: 03/25/2024] Open
Abstract
COL1A1 encodes the type I collagen α1 chain, which shows the highest abundance among members of the collagen family and is widely expressed in different mammalian cells and tissues. However, its molecular characteristics are not completely elucidated. In this study, the molecular profiles of COL1A1 and characteristics of the COL1A1 protein were investigated using a promoter activity assay and multiple bioinformatics tools. The results showed that the 5' flanking region of porcine COL1A1 contained two CpG islands, five core promoter sequences, and twenty-six transcription factor-binding sites. In the luciferase assay, the upstream 294 bp region of the initiation codon of COL1A1 showed the highest activity, confirming that this section is the core region of the porcine COL1A1 promoter. Bioinformatic analysis revealed that COL1A1 is a negatively charged, hydrophilic secreted protein. It does not contain a transmembrane domain and is highly conserved in humans, mice, sheep, and pigs. Protein interaction analysis demonstrated that the interaction coefficient of COL1A1 with COL1A2, COL3A1, ITGB1, and ITGA2 was greater than 0.9, suggesting that this protein plays a crucial role in collagen structure formation and cell adhesion. These results provide a theoretical basis for further investigation of the functions of porcine COL1A1.
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Affiliation(s)
- Guangming Xiang
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Lei Huang
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Xiuling Zhang
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Nan Wang
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Hui Wang
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Yulian Mu
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Kui Li
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
- Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China
| | - Zhiguo Liu
- Key Laboratory of Animal Genetics Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
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9
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Zhang W, Zeng W, Feng J, Li P, Wang Y, Lu H. Identification and functional assays of single-nucleotide variants of opsins genes in melanocytic tumors. Pigment Cell Melanoma Res 2022; 35:436-449. [PMID: 35527357 DOI: 10.1111/pcmr.13043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 04/17/2022] [Accepted: 05/01/2022] [Indexed: 11/29/2022]
Abstract
Epidermal melanocytes sense solar light via the opsin-coupled signaling pathway which is involved in a range of biological functions, including regulating pigmentation, proliferation, apoptosis, and tumorigenesis. However, it remains unclear whether there are genetic variants within these opsins that affect opsin protein structure and function, and further melanocyte biological behaviors. Here, we examined single-nucleotide variants (SNVs) of five opsin (RGR, OPN1SW, OPN2, OPN4, and OPN5) genes in MM (malignant melanoma; n = 76) and MN (melanocytic nevi; n = 157), using next-generation sequencing. The effects of these pathogenic single-nucleotide variants (SNVs) on opsin structure and function were further investigated using molecular dynamics (MD) simulations, dynamic cross-correlation (DCC), and site-directed mutagenesis. In total, 107 SNV variants were identified. Of these variants, 14 nonsynonymous SNVs (nsSNVs) of opsin genes were detected, including three mutations in the RGR gene, three mutations in the OPN1SW gene, two mutations in the OPN2 gene, and six mutations in the OPN4 gene. The effect of these missense mutations on opsin function was then assessed using eight prediction tools to estimate the potential impact of an amino acid substitution. The impact of each nsSNV was investigated using MD simulations and DCC analysis. Furthermore, we performed in vitro fluorescence calcium imaging to assess the functional properties of nsSNV proteins using a site-directed mutagenesis method. Taken together, these results revealed that p.A103V (RGR), p.T167I (RGR), p.G141S (OPN1SW), p.R144C (OPN1SW), and p.S231F (OPN4) had more deleterious effects on protein structure and function among the 14 nsSNVs. Opsin gene alterations showed the low frequency of missense mutations in melanocytic tumors, and although rare, some mutations in these opsin genes disrupt the canonical function of opsin. Our findings provide new insight into the role of opsin variants in the loss of function.
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Affiliation(s)
- Wei Zhang
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Wen Zeng
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Jianglong Feng
- Department of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Pinhao Li
- Department of Pathology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Yu Wang
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
| | - Hongguang Lu
- Department of Dermatology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China
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Fernández-Justel D, Marcos-Alcalde Í, Abascal F, Vidaña N, Gómez-Puertas P, Jiménez A, Revuelta JL, Buey RM. Diversity of mechanisms to control bacterial GTP homeostasis by the mutually exclusive binding of adenine and guanine nucleotides to IMP dehydrogenase. Protein Sci 2022; 31:e4314. [PMID: 35481629 PMCID: PMC9462843 DOI: 10.1002/pro.4314] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/21/2022] [Accepted: 04/06/2022] [Indexed: 02/06/2023]
Abstract
IMP dehydrogenase(IMPDH) is an essential enzyme that catalyzes the rate‐limiting step in the guanine nucleotide pathway. In eukaryotic cells, GTP binding to the regulatory domain allosterically controls the activity of IMPDH by a mechanism that is fine‐tuned by post‐translational modifications and enzyme polymerization. Nonetheless, the mechanisms of regulation of IMPDH in bacterial cells remain unclear. Using biochemical, structural, and evolutionary analyses, we demonstrate that, in most bacterial phyla, (p)ppGpp compete with ATP to allosterically modulate IMPDH activity by binding to a, previously unrecognized, conserved high affinity pocket within the regulatory domain. This pocket was lost during the evolution of Proteobacteria, making their IMPDHs insensitive to these alarmones. Instead, most proteobacterial IMPDHs evolved to be directly modulated by the balance between ATP and GTP that compete for the same allosteric binding site. Altogether, we demonstrate that the activity of bacterial IMPDHs is allosterically modulated by a universally conserved nucleotide‐controlled conformational switch that has divergently evolved to adapt to the specific particularities of each organism. These results reconcile the reported data on the crosstalk between (p)ppGpp signaling and the guanine nucleotide biosynthetic pathway and reinforce the essential role of IMPDH allosteric regulation on bacterial GTP homeostasis. PDB Code(s): 7PJI and 7PMZ;
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Affiliation(s)
- David Fernández-Justel
- Metabolic Engineering Group, Department of Microbiology and Genetics, Universidad de Salamanca, Salamanca, Spain
| | - Íñigo Marcos-Alcalde
- Molecular Modeling Group, Centro de Biología Molecular Severo Ochoa, CBMSO (CSIC-UAM), Madrid, Spain.,Biosciences Research Institute, School of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain
| | | | - Nerea Vidaña
- Metabolic Engineering Group, Department of Microbiology and Genetics, Universidad de Salamanca, Salamanca, Spain
| | - Paulino Gómez-Puertas
- Molecular Modeling Group, Centro de Biología Molecular Severo Ochoa, CBMSO (CSIC-UAM), Madrid, Spain
| | - Alberto Jiménez
- Metabolic Engineering Group, Department of Microbiology and Genetics, Universidad de Salamanca, Salamanca, Spain
| | - José L Revuelta
- Metabolic Engineering Group, Department of Microbiology and Genetics, Universidad de Salamanca, Salamanca, Spain
| | - Rubén M Buey
- Metabolic Engineering Group, Department of Microbiology and Genetics, Universidad de Salamanca, Salamanca, Spain
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11
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Bakshi T, Pham D, Kaur R, Sun B. Hidden Relationships between N-Glycosylation and Disulfide Bonds in Individual Proteins. Int J Mol Sci 2022; 23:ijms23073742. [PMID: 35409101 PMCID: PMC8998389 DOI: 10.3390/ijms23073742] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 02/04/2023] Open
Abstract
N-Glycosylation (NG) and disulfide bonds (DBs) are two prevalent co/post-translational modifications (PTMs) that are often conserved and coexist in membrane and secreted proteins involved in a large number of diseases. Both in the past and in recent times, the enzymes and chaperones regulating these PTMs have been constantly discovered to directly interact with each other or colocalize in the ER. However, beyond a few model proteins, how such cooperation affects N-glycan modification and disulfide bonding at selective sites in individual proteins is largely unknown. Here, we reviewed the literature to discover the current status in understanding the relationships between NG and DBs in individual proteins. Our results showed that more than 2700 human proteins carry both PTMs, and fewer than 2% of them have been investigated in the associations between NG and DBs. We summarized both these proteins with the reported relationships in the two PTMs and the tools used to discover the relationships. We hope that, by exposing this largely understudied field, more investigations can be encouraged to unveil the hidden relationships of NG and DBs in the majority of membranes and secreted proteins for pathophysiological understanding and biotherapeutic development.
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Affiliation(s)
- Tania Bakshi
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
| | - David Pham
- Department of Computing Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
| | - Raminderjeet Kaur
- Faculty of Health Science, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
| | - Bingyun Sun
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada;
- Department of Chemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
- Correspondence:
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12
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Zardecki C, Dutta S, Goodsell DS, Lowe R, Voigt M, Burley SK. PDB-101: Educational resources supporting molecular explorations through biology and medicine. Protein Sci 2022; 31:129-140. [PMID: 34601771 PMCID: PMC8740840 DOI: 10.1002/pro.4200] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 01/03/2023]
Abstract
The Protein Data Bank (PDB) archive is a rich source of information in the form of atomic-level three-dimensional (3D) structures of biomolecules experimentally determined using macromolecular crystallography, nuclear magnetic resonance (NMR) spectroscopy, and electron microscopy (3DEM). Originally established in 1971 as a resource for protein crystallographers to freely exchange data, today PDB data drive research and education across scientific disciplines. In 2011, the online portal PDB-101 was launched to support teachers, students, and the general public in PDB archive exploration (pdb101.rcsb.org). Maintained by the Research Collaboratory for Structural Bioinformatics PDB, PDB-101 aims to help train the next generation of PDB users and to promote the overall importance of structural biology and protein science to nonexperts. Regularly published features include the highly popular Molecule of the Month series, 3D model activities, molecular animation videos, and educational curricula. Materials are organized into various categories (Health and Disease, Molecules of Life, Biotech and Nanotech, and Structures and Structure Determination) and searchable by keyword. A biennial health focus frames new resource creation and provides topics for annual video challenges for high school students. Web analytics document that PDB-101 materials relating to fundamental topics (e.g., hemoglobin, catalase) are highly accessed year-on-year. In addition, PDB-101 materials created in response to topical health matters (e.g., Zika, measles, coronavirus) are well received. PDB-101 shows how learning about the diverse shapes and functions of PDB structures promotes understanding of all aspects of biology, from the central dogma of biology to health and disease to biological energy.
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Affiliation(s)
- Christine Zardecki
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Institute for Quantitative BiomedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Shuchismita Dutta
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Institute for Quantitative BiomedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Rutgers Cancer Institute of New JerseyRutgers, The State University of New JerseyNew BrunswickNew JerseyUSA
| | - David S. Goodsell
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Institute for Quantitative BiomedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Rutgers Cancer Institute of New JerseyRutgers, The State University of New JerseyNew BrunswickNew JerseyUSA,Department of Integrative Structural and Computational BiologyThe Scripps Research InstituteLa JollaCaliforniaUSA
| | - Robert Lowe
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Institute for Quantitative BiomedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Maria Voigt
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Institute for Quantitative BiomedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
| | - Stephen K. Burley
- Research Collaboratory for Structural Bioinformatics Protein Data BankRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Institute for Quantitative BiomedicineRutgers, The State University of New JerseyPiscatawayNew JerseyUSA,Rutgers Cancer Institute of New JerseyRutgers, The State University of New JerseyNew BrunswickNew JerseyUSA,Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer CenterUniversity of California San DiegoLa JollaCaliforniaUSA,Department of Chemistry and Chemical BiologyRutgers, The State University of New JerseyPiscatawayNew JerseyUSA
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13
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Amare B, Mo A, Khan N, Sowa DJ, Warner MM, Tetenych A, Andres SN. LigD: A Structural Guide to the Multi-Tool of Bacterial Non-Homologous End Joining. Front Mol Biosci 2021; 8:787709. [PMID: 34901162 PMCID: PMC8656161 DOI: 10.3389/fmolb.2021.787709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/08/2021] [Indexed: 11/27/2022] Open
Abstract
DNA double-strand breaks are the most lethal form of damage for living organisms. The non-homologous end joining (NHEJ) pathway can repair these breaks without the use of a DNA template, making it a critical repair mechanism when DNA is not replicating, but also a threat to genome integrity. NHEJ requires proteins to anchor the DNA double-strand break, recruit additional repair proteins, and then depending on the damage at the DNA ends, fill in nucleotide gaps or add or remove phosphate groups before final ligation. In eukaryotes, NHEJ uses a multitude of proteins to carry out processing and ligation of the DNA double-strand break. Bacterial NHEJ, though, accomplishes repair primarily with only two proteins-Ku and LigD. While Ku binds the initial break and recruits LigD, it is LigD that is the primary DNA end processing machinery. Up to three enzymatic domains reside within LigD, dependent on the bacterial species. These domains are a polymerase domain, to fill in nucleotide gaps with a preference for ribonucleotide addition; a phosphoesterase domain, to generate a 3'-hydroxyl DNA end; and the ligase domain, to seal the phosphodiester backbone. To date, there are no experimental structures of wild-type LigD, but there are x-ray and nuclear magnetic resonance structures of the individual enzymatic domains from different bacteria and archaea, along with structural predictions of wild-type LigD via AlphaFold. In this review, we will examine the structures of the independent domains of LigD from different bacterial species and the contributions these structures have made to understanding the NHEJ repair mechanism. We will then examine how the experimental structures of the individual LigD enzymatic domains combine with structural predictions of LigD from different bacterial species and postulate how LigD coordinates multiple enzymatic activities to carry out DNA double-strand break repair in bacteria.
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Affiliation(s)
- Benhur Amare
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Anthea Mo
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Noorisah Khan
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Dana J. Sowa
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada
| | - Monica M. Warner
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada
| | - Andriana Tetenych
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada
| | - Sara N. Andres
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Michael G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, ON, Canada
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14
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Levkovich O, Yarden A. Conceptualizing learning about proteins with a molecular viewer in high school based on the integration of two theoretical frameworks. Biochem Mol Biol Educ 2021; 49:917-925. [PMID: 34486801 DOI: 10.1002/bmb.21576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
The use of a molecular viewer to visualize proteins has become more prevalent in high schools in recent years. We relied on the foundations of two theoretical frameworks to analyze questions in two learning tasks designed for 10th- to 12th-grade biotechnology majors that make use of Jmol. The two theoretical frameworks were: (i) classification of scientific knowledge into content, procedural, and epistemic knowledge; and (ii) evaluation of the cognitive skills central to visual literacy in biochemistry. During the analysis, two sub-elements of procedural knowledge emerged from the data: (i) the visualization of molecular models, and (ii) the use of Jmol software features. Based on the theoretical frameworks and data analysis, we suggest a conceptualization of learning about proteins using a molecular viewer, where the scientific knowledge elements are integrated with the eight cognitive skills central to visual literacy in biochemistry. In addition, a model presenting a hierarchy for the knowledge elements and sub-elements is suggested. In this model, content knowledge is a basic requirement; without it, the other knowledge elements cannot be used. Moreover, the use of epistemic knowledge or Jmol software features is not possible without visualization of the molecular models, which requires content knowledge. This conceptualization is expected to facilitate the development of learning tasks, decrease the complexity of knowledge acquisition for students; it may also assist the teacher during the teaching process.
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Affiliation(s)
- Ohad Levkovich
- Department of Science Teaching, Weizmann Institute of Science, Rehovot, Israel
| | - Anat Yarden
- Department of Science Teaching, Weizmann Institute of Science, Rehovot, Israel
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15
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Abstract
The classic conceptualization of ATP binding cassette (ABC) transporter function is an ATP-dependent conformational change coupled to transport of a substrate across a biological membrane via the transmembrane domains (TMDs). The binding of two ATP molecules within the transporter's two nucleotide binding domains (NBDs) induces their dimerization. Despite retaining the ability to bind nucleotides, isolated NBDs frequently fail to dimerize. ABC proteins without a TMD, for example ABCE and ABCF, have NBDs tethered via elaborate linkers, further supporting that NBD dimerization does not readily occur for isolated NBDs. Intriguingly, even in full-length transporters, the NBD-dimerized, outward-facing state is not as frequently observed as might be expected. This leads to questions regarding what drives NBD interaction and the role of the TMDs or linkers. Understanding the NBD-nucleotide interaction and the subsequent NBD dimerization is thus pivotal for understanding ABC transporter activity in general. Here, we hope to provide new insights into ABC protein function by discussing the perplexing issue of (missing) NBD dimerization in isolation and in the context of full-length ABC proteins.
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Affiliation(s)
- Robert C Ford
- Faculty of Biology Medicine and Health, The University of Manchester, UK
| | - Ute A Hellmich
- Department of Chemistry, Johannes Gutenberg-University, Mainz, Germany
- Centre for Biomolecular Magnetic Resonance (BMRZ), Goethe-University, Frankfurt, Germany
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16
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Iqbal S, Pérez-Palma E, Jespersen JB, May P, Hoksza D, Heyne HO, Ahmed SS, Rifat ZT, Rahman MS, Lage K, Palotie A, Cottrell JR, Wagner FF, Daly MJ, Campbell AJ, Lal D. Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants. Proc Natl Acad Sci U S A 2020; 117:28201-11. [PMID: 33106425 DOI: 10.1073/pnas.2002660117] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Recent large-scale sequencing efforts have enabled the detection of millions of missense variants. Elucidating their functional effect is of crucial importance but challenging. We approach this problem by performing a wide-scale characterization of missense variants from 1,330 disease-associated genes using >14,000 protein structures. We identify 3D features associated with pathogenic and benign variants that unveiled the mutations’ effect at the molecular level. We further extend our analysis to account for the different essential structural regions in proteins performing different functions. By analyzing variants from 24 gene groups encoding for different protein functional families, we capture function-specific characteristics of missense variants, which match the experimental readouts. We show that our results derived using structural data will effectively inform variant interpretation. Interpretation of the colossal number of genetic variants identified from sequencing applications is one of the major bottlenecks in clinical genetics, with the inference of the effect of amino acid-substituting missense variations on protein structure and function being especially challenging. Here we characterize the three-dimensional (3D) amino acid positions affected in pathogenic and population variants from 1,330 disease-associated genes using over 14,000 experimentally solved human protein structures. By measuring the statistical burden of variations (i.e., point mutations) from all genes on 40 3D protein features, accounting for the structural, chemical, and functional context of the variations’ positions, we identify features that are generally associated with pathogenic and population missense variants. We then perform the same amino acid-level analysis individually for 24 protein functional classes, which reveals unique characteristics of the positions of the altered amino acids: We observe up to 46% divergence of the class-specific features from the general characteristics obtained by the analysis on all genes, which is consistent with the structural diversity of essential regions across different protein classes. We demonstrate that the function-specific 3D features of the variants match the readouts of mutagenesis experiments for BRCA1 and PTEN, and positively correlate with an independent set of clinically interpreted pathogenic and benign missense variants. Finally, we make our results available through a web server to foster accessibility and downstream research. Our findings represent a crucial step toward translational genetics, from highlighting the impact of mutations on protein structure to rationalizing the variants’ pathogenicity in terms of the perturbed molecular mechanisms.
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17
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Ford RC, Hellmich UA. What monomeric nucleotide binding domains can teach us about dimeric ABC proteins. FEBS Lett 2020; 594:3857-3875. [PMID: 32880928 DOI: 10.1002/1873-3468.13921] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/06/2020] [Accepted: 08/24/2020] [Indexed: 12/12/2022]
Abstract
The classic conceptualization of ATP binding cassette (ABC) transporter function is an ATP-dependent conformational change coupled to transport of a substrate across a biological membrane via the transmembrane domains (TMDs). The binding of two ATP molecules within the transporter's two nucleotide binding domains (NBDs) induces their dimerization. Despite retaining the ability to bind nucleotides, isolated NBDs frequently fail to dimerize. ABC proteins without a TMD, for example ABCE and ABCF, have NBDs tethered via elaborate linkers, further supporting that NBD dimerization does not readily occur for isolated NBDs. Intriguingly, even in full-length transporters, the NBD-dimerized, outward-facing state is not as frequently observed as might be expected. This leads to questions regarding what drives NBD interaction and the role of the TMDs or linkers. Understanding the NBD-nucleotide interaction and the subsequent NBD dimerization is thus pivotal for understanding ABC transporter activity in general. Here, we hope to provide new insights into ABC protein function by discussing the perplexing issue of (missing) NBD dimerization in isolation and in the context of full-length ABC proteins.
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Affiliation(s)
- Robert C Ford
- Faculty of Biology Medicine and Health, The University of Manchester, UK
| | - Ute A Hellmich
- Department of Chemistry, Johannes Gutenberg-University, Mainz, Germany.,Centre for Biomolecular Magnetic Resonance (BMRZ), Goethe-University, Frankfurt, Germany
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18
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Goodsell DS, Zardecki C, Berman HM, Burley SK. Insights from 20 years of the Molecule of the Month. Biochem Mol Biol Educ 2020; 48:350-355. [PMID: 32558264 PMCID: PMC7496199 DOI: 10.1002/bmb.21360] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/25/2019] [Accepted: 04/20/2020] [Indexed: 06/11/2023]
Abstract
For 20 years, Molecule of the Month articles have highlighted the functional stories of 3D structures found in the Protein Data Bank (PDB). The PDB is the primary archive of atomic structures of biological molecules, currently providing open access to more than 150,000 structures studied by researchers around the world. The wealth of knowledge embodied in this resource is remarkable, with structures that allow exploration of nearly any biomolecular topic, including the basic science of genetic mechanisms, mechanisms of photosynthesis and bioenergetics, and central biomedical topics like cancer therapy and the fight against infectious disease. The central motivation behind the Molecule of the Month is to provide a user-friendly introduction to this rich body of data, charting a path for users to get started with finding and exploring the many available structures. The Molecule of the Month and related materials are updated regularly at the education portal PDB-101 (http://pdb101.rcsb.org/), offering an ongoing resource for molecular biology educators and students around the world.
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Affiliation(s)
- David S. Goodsell
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
- Institute for Quantitative Biomedicine, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
- Department of Integrative Structural and Computational BiologyThe Scripps Research InstituteLa JollaCaliforniaUSA
| | - Christine Zardecki
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
- Institute for Quantitative Biomedicine, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
| | - Helen M. Berman
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
- Department of Chemistry and Chemical BiologyThe State University of New JerseyPiscatawayNew JerseyUSA
- Department of Biological SciencesUniversity of Southern CaliforniaCaliforniaLos AngelesUSA
| | - Stephen K. Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
- Institute for Quantitative Biomedicine, RutgersThe State University of New JerseyPiscatawayNew JerseyUSA
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer CenterUniversity of California, San DiegoLa JollaCaliforniaUSA
- Rutgers Cancer Institute of New Jersey, RutgersThe State University of New JerseyNew BrunswickNew JerseyUSA
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19
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Lin D, Zhang Q, Xiao L, Huang Y, Yang Z, Wu Z, Tu Z, Qin W, Chen H, Wu D, Zhang Q, Li S. Effects of ultrasound on functional properties, structure and glycation properties of proteins: a review. Crit Rev Food Sci Nutr 2021; 61:2471-81. [PMID: 32580562 DOI: 10.1080/10408398.2020.1778632] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Protein is an indispensable part of life. It provides nutrition for human body and flavor for food. The role of protein depends largely on the functional properties of the protein. Therefore, the elucidation of protein structure and functional properties needs to be further explored. The effects of structural and functional properties of proteins under different ultrasonic treatment conditions were reviewed. The structural changes of protein were studied by hydrogen-deuterium exchange mass spectrometry combined with fluorescence spectrometry and proteomics, and the mechanism of action was determined. The glycation site, the glycation degree, and the glycation characteristics of different sugars were determined. The protein was modified by ultrasound, and the influence of protein structure, physicochemical properties, protein glycation characteristics, and the action mechanism were analyzed by biological mass spectrometry.
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20
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Capraro J, De Benedetti S, Di Dio M, Bona E, Abate A, Corsetto PA, Scarafoni A. Characterization of Chenopodin Isoforms from Quinoa Seeds and Assessment of Their Potential Anti-Inflammatory Activity in Caco-2 Cells. Biomolecules 2020; 10:E795. [PMID: 32455586 DOI: 10.3390/biom10050795] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/12/2020] [Accepted: 05/18/2020] [Indexed: 01/18/2023] Open
Abstract
Several food-derived molecules, including proteins and peptides, can show bioactivities toward the promotion of well-being and disease prevention in humans. There is still a lack of information about the potential effects on immune and inflammatory responses in mammalian cells following the ingestion of seed storage proteins. This study, for the first time, describes the potential immunomodulation capacity of chenopodin, the major protein component of quinoa seeds. After characterizing the molecular features of the purified protein, we were able to separate two different forms of chenopodin, indicated as LcC (Low charge Chenopodin, 30% of total chenopodin) and HcC (High charge Chenopodin, 70% of total chenopodin). The biological effects of LcC and HcC were investigated by measuring NF-κB activation and IL-8 expression studies in undifferentiated Caco-2 cells. Inflammation was elicited using IL-1β. The results indicate that LcC and HcC show potential anti-inflammatory activities in an intestinal cell model, and that the proteins can act differently, depending on their structural features. Furthermore, the molecular mechanisms of action and the structural/functional relationships of the protein at the basis of the observed bioactivity were investigated using in silico analyses and structural predictions.
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21
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Goodsell DS, Zardecki C, Di Costanzo L, Duarte JM, Hudson BP, Persikova I, Segura J, Shao C, Voigt M, Westbrook JD, Young JY, Burley SK. RCSB Protein Data Bank: Enabling biomedical research and drug discovery. Protein Sci 2019; 29:52-65. [PMID: 31531901 DOI: 10.1002/pro.3730] [Citation(s) in RCA: 179] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 09/09/2019] [Accepted: 09/10/2019] [Indexed: 12/11/2022]
Abstract
Analyses of publicly available structural data reveal interesting insights into the impact of the three-dimensional (3D) structures of protein targets important for discovery of new drugs (e.g., G-protein-coupled receptors, voltage-gated ion channels, ligand-gated ion channels, transporters, and E3 ubiquitin ligases). The Protein Data Bank (PDB) archive currently holds > 155,000 atomic-level 3D structures of biomolecules experimentally determined using crystallography, nuclear magnetic resonance spectroscopy, and electron microscopy. The PDB was established in 1971 as the first open-access, digital-data resource in biology, and is now managed by the Worldwide PDB partnership (wwPDB; wwPDB.org). US PDB operations are the responsibility of the Research Collaboratory for Structural Bioinformatics PDB (RCSB PDB). The RCSB PDB serves millions of RCSB.org users worldwide by delivering PDB data integrated with ∼40 external biodata resources, providing rich structural views of fundamental biology, biomedicine, and energy sciences. Recently published work showed that the PDB archival holdings facilitated discovery of ∼90% of the 210 new drugs approved by the US Food and Drug Administration 2010-2016. We review user-driven development of RCSB PDB services, examine growth of the PDB archive in terms of size and complexity, and present examples and opportunities for structure-guided drug discovery for challenging targets (e.g., integral membrane proteins).
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Affiliation(s)
- David S Goodsell
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,The Scripps Research Institute, La Jolla, California
| | - Christine Zardecki
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Luigi Di Costanzo
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Jose M Duarte
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, California
| | - Brian P Hudson
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Irina Persikova
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Joan Segura
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, California
| | - Chenghua Shao
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Maria Voigt
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - John D Westbrook
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Jasmine Y Young
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey
| | - Stephen K Burley
- Research Collaboratory for Structural Bioinformatics Protein Data Bank, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, New Jersey.,Research Collaboratory for Structural Bioinformatics Protein Data Bank, San Diego Supercomputer Center, University of California, San Diego, California.,Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, New Brunswick, New Jersey
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22
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Ealy JB. Assessment of students' external representations of mmCIF entries and their biochemical knowledge. Biochem Mol Biol Educ 2018; 46:634-643. [PMID: 30462371 DOI: 10.1002/bmb.21183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Revised: 09/30/2018] [Accepted: 10/08/2018] [Indexed: 06/09/2023]
Abstract
An assessment was developed using entries from the macromolecular Crystallographic Information File that was given to students in an upper level bioinformatics class at the end of the semester during a 2½ hour time period. Although all students completed the same questions, they were assessed on an individual protein they had worked on during the semester in the situated learning of the classroom as they completed computer-based tutorials and exercises using internet sources. The students' difficulties with the external representation of their protein were: not following directions, not understanding how to use the computational software, or a lack of knowledge about their protein. The students also were required to answer questions that required biochemical knowledge. The difficulties they experienced during the assessment can be attributed to factors, such as, their reasoning ability, understanding of the concepts, and the external representations of their protein. © 2018 International Union of Biochemistry and Molecular Biology, 46(6):634-643, 2018.
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Affiliation(s)
- Julie B Ealy
- Chemistry Department, Penn State Lehigh Valley, Center Valley, Pennsylvania
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23
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Ayella A, Beck MR. A course-based undergraduate research experience investigating the consequences of nonconserved mutations in lactate dehydrogenase. Biochem Mol Biol Educ 2018; 46:285-296. [PMID: 29512279 DOI: 10.1002/bmb.21115] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 11/08/2017] [Accepted: 01/28/2018] [Indexed: 05/14/2023]
Abstract
There is a growing movement to involve undergraduate students in authentic research experiences. A variety of studies have indicated the strength of this approach in developing scientific aptitude, confidence, critical thinking skills, and increasing the likelihood to become career scientists. Course-based undergraduate research experiences (CUREs) foster opportunities for students to carry out authentic research at both primarily undergraduate and large research institutions. Here, we describe a novel CURE-based biochemistry laboratory course to explore the consequences of mutagenesis of non-conserved amino acid sites in the structure and function of the lactate dehydrogenase enzyme and demonstrate how collaborations between institutions can facilitate real research experiences at any type of institution. © 2018 by The International Union of Biochemistry and Molecular Biology, 46(3):285-296, 2018.
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Affiliation(s)
- Allan Ayella
- Natural Sciences Department, McPherson College, McPherson, Kansas
| | - Moriah R Beck
- Chemistry Department, Wichita State University, Wichita, Kansas
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24
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Abstract
The human body is a complex biological machine with billions of cells and vast numbers of biochemical processes - but our genome only contains 22,000 protein-encoding genes. Moonlighting proteins provide one way to increase the number of cellular activities. Moonlighting proteins exhibit more than one physiologically relevant biochemical or biophysical function within one polypeptide chain. Already more than 300 moonlighting proteins have been identified, and they include a diverse set of proteins with a large variety of functions. This article discusses examples of moonlighting proteins, how one protein structure can perform two different functions, and how the multiple functions can be regulated. In addition to learning more about what our proteins do and how they work together in complex multilayered interaction networks and processes in our bodies, the study of moonlighting proteins can inform future synthetic biology projects in making proteins that perform new functions and new combinations of functions, for example, for synthesising new materials, delivering drugs into cells, and in bioremediation.
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25
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Santiago M, Ramírez-Sarmiento CA, Zamora RA, Parra LP. Discovery, Molecular Mechanisms, and Industrial Applications of Cold-Active Enzymes. Front Microbiol 2016; 7:1408. [PMID: 27667987 PMCID: PMC5016527 DOI: 10.3389/fmicb.2016.01408] [Citation(s) in RCA: 141] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Accepted: 08/25/2016] [Indexed: 11/17/2022] Open
Abstract
Cold-active enzymes constitute an attractive resource for biotechnological applications. Their high catalytic activity at temperatures below 25°C makes them excellent biocatalysts that eliminate the need of heating processes hampering the quality, sustainability, and cost-effectiveness of industrial production. Here we provide a review of the isolation and characterization of novel cold-active enzymes from microorganisms inhabiting different environments, including a revision of the latest techniques that have been used for accomplishing these paramount tasks. We address the progress made in the overexpression and purification of cold-adapted enzymes, the evolutionary and molecular basis of their high activity at low temperatures and the experimental and computational techniques used for their identification, along with protein engineering endeavors based on these observations to improve some of the properties of cold-adapted enzymes to better suit specific applications. We finally focus on examples of the evaluation of their potential use as biocatalysts under conditions that reproduce the challenges imposed by the use of solvents and additives in industrial processes and of the successful use of cold-adapted enzymes in biotechnological and industrial applications.
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Affiliation(s)
- Margarita Santiago
- Department of Chemical Engineering and Biotechnology, Centre for Biochemical Engineering and Biotechnology, Universidad de ChileSantiago, Chile
| | - César A. Ramírez-Sarmiento
- Schools of Engineering, Medicine and Biological Sciences, Institute for Biological and Medical Engineering, Pontificia Universidad Católica de ChileSantiago, Chile
| | - Ricardo A. Zamora
- Departamento de Biología, Facultad de Ciencias, Universidad de ChileSantiago, Chile
| | - Loreto P. Parra
- Schools of Engineering, Medicine and Biological Sciences, Institute for Biological and Medical Engineering, Pontificia Universidad Católica de ChileSantiago, Chile
- Department of Chemical and Bioprocesses Engineering, School of Engineering, Pontificia Universidad Católica de ChileSantiago, Chile
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26
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Affiliation(s)
- Constance J. Jeffery
- Department of Biological Sciences, University of Illinois at ChicagoChicago, IL, USA
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27
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Kalmatsky DB, Batir Y, Bargiello TA, Dowd T. Structural studies of N-terminal mutants of connexin 32 using (1)H NMR spectroscopy. Arch Biochem Biophys 2012; 526:1-8. [PMID: 22705201 PMCID: PMC3938314 DOI: 10.1016/j.abb.2012.05.027] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2012] [Revised: 05/02/2012] [Accepted: 05/22/2012] [Indexed: 12/11/2022]
Abstract
The amino terminus of gap junction proteins, connexins, plays a fundamental role in voltage gating and ion permeation. We have previously shown with (1)H NMR that the structure of the N-terminus of functional connexin molecules contains a flexible turn around G12 (Arch. Biochem. Biophys.490:9,2009) allowing the N-terminus to form a portion of the channel pore near the cytoplasmic entrance. The mutants of nonfunctional connexin molecules G12S and G12Y were found to prevent this turn. Previous functional studies of loci at which Cx32 mutations cause a peripheral neuropathy, Charcot-Marie-Tooth disease, have shown that G12S is not plasma membrane inserted. Presently, we solve the structure of nonfunctional Connexin 32 mutants W3D and Y7D which do not appear to be membrane inserted. Using 2D (1)H NMR, we report that similar to G12S and G12Y, alterations in hydrophobic sidechain interactions disrupt (Y7D) or constrain (W3D) the flexible turn around G12. The alteration in the open turn around residue 12, observed in all nonfunctional mutants G12S, G12Y, W3D and Y7D correlates with loss of function. We propose that loss of the open turn causes the N-terminus to extend out of the channel pore and this misfolding may target mutants for destruction in the endoplasmic reticulum.
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Affiliation(s)
- D. B. Kalmatsky
- Department of Chemistry, Brooklyn College of the City University of New York, Brooklyn, New York, 11210
| | - Y. Batir
- Department of Chemistry, Brooklyn College of the City University of New York, Brooklyn, New York, 11210
| | - T. A. Bargiello
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461
| | - T.L. Dowd
- Department of Chemistry, Brooklyn College of the City University of New York, Brooklyn, New York, 11210
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28
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Abstract
Atomic structures of biomolecules have provided the experimental evidence for many of the major discoveries in molecular biology, including the basic principles of protein folding and function, modes of biological information and energy flow, and mechanisms of molecular evolution. These experimental data are freely available in online structural databases.
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29
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Kalmatsky B, Bhagan S, Tang Q, Bargiello TA, Dowd T. Structural studies of the N-terminus of Connexin 32 using 1H NMR spectroscopy. Arch Biochem Biophys 2009; 490:9-16. [PMID: 19638273 PMCID: PMC4510928 DOI: 10.1016/j.abb.2009.07.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2009] [Revised: 07/03/2009] [Accepted: 07/22/2009] [Indexed: 10/20/2022]
Abstract
The amino terminus of gap junction proteins, connexins, plays a fundamental role in voltage gating and ion permeation. We have previously shown with (1)H NMR that the structure of the N-terminus of a representative connexin molecule contains a flexible turn around glycine 12 [P.E. Purnick, D.C. Benjamin, V.K. Verselis, T.A. Bargiello, T.L. Dowd, Arch. Biochem. Biophys. 381 (2000) 181-190] allowing the N-terminus to reside at the cytoplasmic entry of the channel forming a voltage-sensor. Previous functional studies or neuropathies have shown that the mutation G12Y and G12S form non-functional channels while functional channels are formed from G12P. Using 2D (1)H NMR we show that similar to G12, the structure of the G12P mutant contains a more flexible turn around residue 12, whereas the G12S and G12Y mutants contain tighter, helical turns in this region. These results suggest an unconstrained turn is required around residue 12 to position the N-terminus within the pore allowing the formation of the cytoplasmic channel vestibule, which appears to be critical for proper channel function.
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Affiliation(s)
- B.D. Kalmatsky
- Department of Chemistry, Brooklyn College of the City University of New York, Brooklyn, New York, 11210
| | - S. Bhagan
- Department of Chemistry, Brooklyn College of the City University of New York, Brooklyn, New York, 11210
| | - Q. Tang
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461
| | - T. A. Bargiello
- Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461
| | - T.L. Dowd
- Department of Chemistry, Brooklyn College of the City University of New York, Brooklyn, New York, 11210
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