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Dobson L, Gerdán C, Tusnády S, Szekeres L, Kuffa K, Langó T, Zeke A, Tusnády GE. UniTmp: unified resources for transmembrane proteins. Nucleic Acids Res 2024; 52:D572-D578. [PMID: 37870462 PMCID: PMC10767979 DOI: 10.1093/nar/gkad897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/24/2023] Open
Abstract
The UNIfied database of TransMembrane Proteins (UniTmp) is a comprehensive and freely accessible resource of transmembrane protein structural information at different levels, from localization of protein segments, through the topology of the protein to the membrane-embedded 3D structure. We not only annotated tens of thousands of new structures and experiments, but we also developed a new system that can serve these resources in parallel. UniTmp is a unified platform that merges TOPDB (Topology Data Bank of Transmembrane Proteins), TOPDOM (database of conservatively located domains and motifs in proteins), PDBTM (Protein Data Bank of Transmembrane Proteins) and HTP (Human Transmembrane Proteome) databases and provides interoperability between the incorporated resources and an easy way to keep them regularly updated. The current update contains 9235 membrane-embedded structures, 9088 sequences with 536 035 topology-annotated segments and 8692 conservatively localized protein domains or motifs as well as 5466 annotated human transmembrane proteins. The UniTmp database can be accessed at https://www.unitmp.org.
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Affiliation(s)
- László Dobson
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
- Department of Bioinformatics, Semmelweis University, Budapest, Tűzoltó u. 7, H-1094, Hungary
| | - Csongor Gerdán
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
| | - Simon Tusnády
- Department of Bioinformatics, Semmelweis University, Budapest, Tűzoltó u. 7, H-1094, Hungary
| | - Levente Szekeres
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
| | - Katalin Kuffa
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
- Doctoral School of Biology, Institute of Biology, ELTE Eötvös Loránd University, Budapest, Pázmány P. stny. 1/C, H-1117, Hungary
| | - Tamás Langó
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
| | - András Zeke
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
| | - Gábor E Tusnády
- Protein Bioinformatics Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Budapest, Magyar Tudósok körútja 2, H-1117, Hungary
- Department of Bioinformatics, Semmelweis University, Budapest, Tűzoltó u. 7, H-1094, Hungary
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Kashef MT, Helmy OM. Development of a Multiplex Polymerase Chain Reaction-Based DNA Lateral Flow Assay as a Point-of-Care Diagnostic for Fast and Simultaneous Detection of MRSA and Vancomycin Resistance in Bacteremia. Diagnostics (Basel) 2022; 12:2691. [DOI: 10.3390/diagnostics12112691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/26/2022] [Accepted: 11/02/2022] [Indexed: 11/06/2022] Open
Abstract
To reduce high mortality and morbidity rates, timely and proper treatment of methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection is required. A multiplex polymerase reaction (mPCR)-based DNA lateral flow assay (MBDLFA) was developed as a point-of-care diagnostic for simultaneous identification of S. aureus, methicillin resistance, and vancomycin resistance directly from blood or blood cultures. A mPCR was developed to detect nuc, mecA, and vanA/B; its sensitivity, specificity, and limit of detection (LOD) were determined. The developed reaction was further modified for use in MBDLFA and its sensitivity for detection of target genes from artificially inoculated blood samples was checked. The optimized mPCR successfully detected nuc, mecA, and vanA/B from genomic DNA of bacterial colonies with LODs of 107, 107, and 105 CFU/mL, respectively. The reaction was sensitive and specific. The optimized mPCR was used in MBDLFA that detected nuc, mecA, and vanA/B with LODs of 107, 108, and 104 CFU/mL, respectively, directly from artificially inoculated blood. The developed MBDLFA can be used as a rapid, cheap point-of-care diagnostic for detecting S. aureus, MRSA, and vancomycin resistance directly from blood and blood cultures in ~2 h with the naked eye. This will reduce morbidity, mortality, and treatment cost in S. aureus bacteremia.
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Liu X, Huang C, Qiu C, Wang Z, Cheng M, Zhang Y, Qiao Y, Guan Y, Feng X, Sun C, Li N, Li F, Lei L, Han W, Zhang X, Gu J. Rapid and sensitive detection of Staphylococcus aureus using biolayer interferometry technology combined with phage lysin LysGH15. Biosens Bioelectron 2022; 198:113799. [PMID: 34823965 DOI: 10.1016/j.bios.2021.113799] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 09/13/2021] [Revised: 11/09/2021] [Accepted: 11/12/2021] [Indexed: 12/25/2022]
Abstract
Staphylococcus aureus (S. aureus), considered as a common foodborne pathogenic microorganism, usually causes food poisoning and various infectious diseases. Therefore, development of rapid and accurate bacterial detection method is the key to preventing food poisoning and achieving early diagnosis and treatment of various infectious diseases caused by S. aureus. Biolayer interferometry (BLI) technology is a novel technique of label-free optical analysis for real-time monitoring of biomolecular interactions. The C54A mutation induced the lytic activity loss of phage lysin LysGH15 but retained the capacity for specific recognizing and binding S. aureus. In this study, a novel method for the detection of S. aureus was established using the C54A mutant LysGH15 as the receptor in combination with BLI. Using this BLI-based method, S. aureus whole cells could be directly assayed and the limit of detection was 13 CFU/mL with a binding time of 12 min. Because the C54A mutant LysGH15 recognizes S. aureus with very high specificity, the method can exclude potential interference from other bacterial species. In addition, this method could also distinguish between viable and dead S. aureus. Moreover, S. aureus was successfully detected in ice cubes and light soy sauce by using this method. Collectively, these results indicate that the LysGH15-based BLI method can be used as an efficient and reliable diagnostic tool in the field of food safety and other related fields for the rapid, sensitive, label-free, and real-time detection of S. aureus.
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Affiliation(s)
- Xiao Liu
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Chunzheng Huang
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Cao Qiu
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Zijing Wang
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Mengjun Cheng
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital Fudan University, Shanghai, 200032, People's Republic of China
| | - Yan Zhang
- College of Life Sciences, Jilin University, Jilin, Changchun, 130012, People's Republic of China
| | - Yinghan Qiao
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Yuan Guan
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Xin Feng
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Changjiang Sun
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Na Li
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Fengyang Li
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Liancheng Lei
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China
| | - Wenyu Han
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China.
| | - Xiaoguang Zhang
- College of Food Science and Engineering, Jilin University, Jilin, Changchun, 130062, People's Republic of China.
| | - Jingmin Gu
- Key Laboratory of Zoonosis Research, Ministry of Education, College of Veterinary Medicine, Jilin University, Jilin, Changchun, 130062, People's Republic of China.
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Hung YP, Chen YF, Tsai PJ, Huang IH, Ko WC, Jan JS. Advances in the Application of Nanomaterials as Treatments for Bacterial Infectious Diseases. Pharmaceutics 2021; 13:1913. [PMID: 34834328 DOI: 10.3390/pharmaceutics13111913] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 10/01/2021] [Revised: 11/08/2021] [Accepted: 11/10/2021] [Indexed: 12/01/2022] Open
Abstract
Bacteria-targeting nanomaterials have been widely used in the diagnosis and treatment of bacterial infectious diseases. These nanomaterials show great potential as antimicrobial agents due to their broad-spectrum antibacterial capacity and relatively low toxicity. Recently, nanomaterials have improved the accurate detection of pathogens, provided therapeutic strategies against nosocomial infections and facilitated the delivery of antigenic protein vaccines that induce humoral and cellular immunity. Biomaterial implants, which have traditionally been hindered by bacterial colonization, benefit from their ability to prevent bacteria from forming biofilms and spreading into adjacent tissues. Wound repair is improving in terms of both the function and prevention of bacterial infection, as we tailor nanomaterials to their needs, select encapsulation methods and materials, incorporate activation systems and add immune-activating adjuvants. Recent years have produced numerous advances in their antibacterial applications, but even further expansion in the diagnosis and treatment of infectious diseases is expected in the future.
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Elhosseiny NM, Samir TM, Ali AA, El-Kholy AA, Attia AS. Development of an Immunochromatographic Strip Using Conjugated Gold Nanoparticles for the Rapid Detection of Klebsiella pneumoniae Causing Neonatal Sepsis. Pharmaceutics 2021; 13:1141. [PMID: 34452099 DOI: 10.3390/pharmaceutics13081141] [Citation(s) in RCA: 0] [Impact Index Per Article: 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: 05/30/2021] [Revised: 07/09/2021] [Accepted: 07/22/2021] [Indexed: 11/16/2022] Open
Abstract
Neonatal sepsis is a leading cause of death among newborns and infants, especially in the developing world. The problem is compounded by the delays in pinpointing the causative agent of the infection. This is reflected in increasing mortality associated with these cases and the spread of multi-drug-resistant bacteria. In this work, we deployed bioinformatics and proteomics analyses to determine a promising target that could be used for the identification of a major neonatal sepsis causative agent, Klebsiella pneumoniae. A 19 amino acid peptide from a hypothetical outer membrane was found to be very specific to the species, well conserved among its strains, surface exposed, and expressed in conditions simulating infection. Antibodies against the selected peptide were conjugated to gold nanoparticles and incorporated into an immunochromatographic strip. The developed strip was able to detect as low as 105 CFU/mL of K. pneumoniae. Regarding specificity, it showed negative results with both Escherichia coli and Enterobacter cloacae. More importantly, in a pilot study using neonatal sepsis cases blood specimens, the developed strip selectively gave positive results within 20 min with those infected with K. pneumoniae without prior sample processing. However, it gave negative results in cases infected with other bacterial species.
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