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Jurėnas D. Metabolic Labeling: Snapshot of the Effect of Toxins on the Key Cellular Processes. Methods Mol Biol 2024; 2715:539-545. [PMID: 37930550 DOI: 10.1007/978-1-0716-3445-5_33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023]
Abstract
Competing bacteria secrete vast variety of toxic effectors via secretion systems. Phospholipase, peptidoglycan-hydrolase, or pore forming toxins often manifest in the bursting of the prey cell. Other toxins reach cytoplasm of the prey where they affect cell division machinery, metabolism, nucleic acid integrity, or protein synthesis. Inhibition of cell division or DNA integrity, which summons SOS response, will often lead to bacterial cell filamentation readily observable under the microscope. However, other toxic activities will not manifest in interpretable phenotypic changes that would readily suggest their mechanism of toxicity. Activity measurements of the three fundamental cellular processes-replication, transcription and translation can pave the way for further understanding of the toxin's activity. Method commonly known as metabolic labeling makes use of radioactive precursors for DNA, RNA and protein synthesis. This method provides highly sensitive snapshot of the activity of key cellular processes.
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Affiliation(s)
- Dukas Jurėnas
- Laboratoire de Génétique et Physiologie Bactérienne, Département de Biologie Moléculaire, Faculté des Sciences, Université Libre de Bruxelles (ULB), Gosselies, Belgium.
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Wang J, Chew BLA, Lai Y, Dong H, Xu L, Liu Y, Fu XY, Lin Z, Shi PY, Lu TK, Luo D, Jaffrey SR, Dedon PC. A systems-level mass spectrometry-based technique for accurate and sensitive quantification of the RNA cap epitranscriptome. Nat Protoc 2023; 18:2671-2698. [PMID: 37567932 DOI: 10.1038/s41596-023-00857-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 04/26/2023] [Indexed: 08/13/2023]
Abstract
Chemical modifications of transcripts with a 5' cap occur in all organisms and function in many aspects of RNA metabolism. To facilitate analysis of RNA caps, we developed a systems-level mass spectrometry-based technique, CapQuant, for accurate and sensitive quantification of the cap epitranscriptome. The protocol includes the addition of stable isotope-labeled cap nucleotides (CNs) to RNA, enzymatic hydrolysis of endogenous RNA to release CNs, and off-line enrichment of CNs by ion-pairing high-pressure liquid chromatography, followed by a 17 min chromatography-coupled tandem quadrupole mass spectrometry run for the identification and quantification of individual CNs. The total time required for the protocol can be up to 7 d. In this approach, 26 CNs can be quantified in eukaryotic poly(A)-tailed RNA, bacterial total RNA and viral RNA. This protocol can be modified to analyze other types of RNA and RNA from in vitro sources. CapQuant stands out from other methods in terms of superior specificity, sensitivity and accuracy, and it is not limited to individual caps nor does it require radiolabeling. Thanks to its unique capability of accurately and sensitively quantifying RNA caps on a systems level, CapQuant can reveal both the RNA cap landscape and the transcription start site distribution of capped RNA in a broad range of settings.
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Affiliation(s)
- Jin Wang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
- Institute of Biomedical Sciences, Inner Mongolia University, Hohhot, China.
| | - Bing Liang Alvin Chew
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- NTU Institute of Health Technologies, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore, Singapore
| | - Yong Lai
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong, China
| | | | - Luang Xu
- Cancer Science Institute of Singapore, Singapore, Singapore
- School of Life Science and Technology, Shanghai Institute of Biochemistry and Cell Biology, Shanghai, China
| | - Yu Liu
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China
| | - Xin-Yuan Fu
- Cancer Science Institute of Singapore, Singapore, Singapore
- Generos Pharmaceutical Co. Ltd, Hangzhou, China
| | - Zhenguo Lin
- Department of Biology, Saint Louis University, St. Louis, MO, USA
| | - Pei-Yong Shi
- Departments of Biochemistry & Molecular Biology and Pharmacology & Toxicology, and Sealy Center for Structural Biology & Molecular Biophysics, University of Texas Medical Branch, Galveston, TX, USA
- GlaxoSmithKline, Rockville, MD, USA
| | - Timothy K Lu
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
- Synthetic Biology Center, Departments of Biological Engineering and Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Senti Bio, San Francisco, CA, USA
| | - Dahai Luo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Samie R Jaffrey
- Department of Pharmacology, Weill Medical College, Cornell University, New York, NY, USA
| | - Peter C Dedon
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore, Singapore.
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Wang J, Alvin Chew BL, Lai Y, Dong H, Xu L, Balamkundu S, Cai WM, Cui L, Liu CF, Fu XY, Lin Z, Shi PY, Lu TK, Luo D, Jaffrey SR, Dedon PC. Quantifying the RNA cap epitranscriptome reveals novel caps in cellular and viral RNA. Nucleic Acids Res 2019; 47:e130. [PMID: 31504804 PMCID: PMC6847653 DOI: 10.1093/nar/gkz751] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 07/16/2019] [Accepted: 08/23/2019] [Indexed: 12/13/2022] Open
Abstract
Chemical modification of transcripts with 5' caps occurs in all organisms. Here, we report a systems-level mass spectrometry-based technique, CapQuant, for quantitative analysis of an organism's cap epitranscriptome. The method was piloted with 21 canonical caps-m7GpppN, m7GpppNm, GpppN, GpppNm, and m2,2,7GpppG-and 5 'metabolite' caps-NAD, FAD, UDP-Glc, UDP-GlcNAc, and dpCoA. Applying CapQuant to RNA from purified dengue virus, Escherichia coli, yeast, mouse tissues, and human cells, we discovered new cap structures in humans and mice (FAD, UDP-Glc, UDP-GlcNAc, and m7Gpppm6A), cell- and tissue-specific variations in cap methylation, and high proportions of caps lacking 2'-O-methylation (m7Gpppm6A in mammals, m7GpppA in dengue virus). While substantial Dimroth-induced loss of m1A and m1Am arose with specific RNA processing conditions, human lymphoblast cells showed no detectable m1A or m1Am in caps. CapQuant accurately captured the preference for purine nucleotides at eukaryotic transcription start sites and the correlation between metabolite levels and metabolite caps.
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Affiliation(s)
- Jin Wang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot, People's Republic of China
- School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Bing Liang Alvin Chew
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- NTU Institute of Health Technologies, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore
| | - Yong Lai
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Hongping Dong
- Shanghai Blueray Biopharma, Shanghai, People's Republic of China
| | - Luang Xu
- Cancer Science Institute of Singapore, Singapore
| | - Seetharamsingh Balamkundu
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore
| | - Weiling Maggie Cai
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
- Department of Microbiology, National University of Singapore, Singapore
| | - Liang Cui
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Chuan Fa Liu
- School of Biological Sciences, Nanyang Technological University, Singapore
| | - Xin-Yuan Fu
- Cancer Science Institute of Singapore, Singapore
| | - Zhenguo Lin
- Department of Biology, Saint Louis University, St. Louis, MO, USA
| | - Pei-Yong Shi
- Departments of Biochemistry & Molecular Biology and Pharmacology & Toxicology, and Sealy Center for Structural Biology & Molecular Biophysics, University of Texas Medical Branch, Galveston, TX, USA
| | - Timothy K Lu
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
- Synthetic Biology Center, Departments of Biological Engineering and Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Dahai Luo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Samie R Jaffrey
- Department of Pharmacology, Weill Medical College, Cornell University, New York, NY, USA
| | - Peter C Dedon
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore
- Dept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
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Jiang H, English AM. Evaluation of D10-Leu metabolic labeling coupled with MALDI-MS analysis in studying the response of the yeast proteome to H2O2 challenge. J Proteome Res 2006; 5:2539-46. [PMID: 17022625 DOI: 10.1021/pr060019m] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
An efficient D10-Leu metabolic-labeling method combined with isotope-ratio quantitation by MALDI-TOF MS was used to probe the response of the yeast proteome to H2O2. Control cultures correct for effects not associated with H2O2 challenge. A stress-response index to H2O2 (SRIH2O2) is defined, and values are reported for seven proteins at 45-225 min following exposure to 0.4 mM H2O2. The time course of protein accumulation in unstressed cells following the H10- to D10-SCD switch suggests that proteome responses at <45 min could be monitored by addition of excess D10-Leu to H10-cultures.
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Affiliation(s)
- Heng Jiang
- Centre for Biological Applications of Mass Spectrometry, Department of Chemistry and Biochemistry, Concordia University, Montreal, Quebec, Canada H4B 1R6
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Salonen J, Raivio KO, Saxén L. Artefacts due to radiation-induced cell damage in pulse-labeling experiments using tritiated nucleic acid precursors. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 1989; 253B:235-41. [PMID: 2610117 DOI: 10.1007/978-1-4684-5676-9_35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- J Salonen
- Department of Pathology, University of Helsinki, Finland
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D'Amico-Martel A, Van de Water TR, Wootton JA, Minor RR. Changes in the types of collagen synthesized during chondrogenesis of the mouse otic capsule. Dev Biol 1987; 120:542-55. [PMID: 3549392 DOI: 10.1016/0012-1606(87)90257-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
We have investigated the temporal relationship between the morphological differentiation of the mouse otic capsule and the pattern of collagen synthesis by mouse otocyst-mesenchyme complexes labeled in vitro. In 10.5- to 12-day embryos the mesenchyme surrounding the otocyst was loosely organized except for a few lateroventral condensations; explants from these embryos synthesized only small amounts of collagen. Collagen synthesis by whole explants increased by more than 50% between 12 and 13 days concomitant with metachromatic staining of the lateral periotic mesenchyme. Cartilage specific type II collagen was the predominant collagen synthesized by these explants as confirmed by SDS-PAGE, densitometry, CNBr cleavage, and V8 protease digestion. This biochemical expression of the cartilage phenotype preceded morphologic recognition of otic capsular cartilage by almost 2 days. Type II collagen synthesis continued to increase and predominate through Day 16 of gestation by which time the otic labyrinth was surrounded by mature cartilage. The minor cartilage collagen chains, 1 alpha, 2 alpha, and 3 alpha, first appeared on different days of gestation. The 1 alpha, and 3 alpha chains were synthesized by explants from 11-day embryos while the 2 alpha chain appeared during Day 13, just before overt differentiation of mature cartilage. These results suggested that the 1 alpha, 2 alpha, and 3 alpha chains may not form heterotrimers containing all three chains and that synthesis of the 2 alpha chain may be associated with stabilization of the cartilaginous matrix. Comparison of these data with the patterns of collagen production by mutant, diseased, or experimentally manipulated inner ear tissues may provide insights into the molecular basis of chondrogenic tissue interactions.
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Steinmann B, Nicholls A, Pope FM. Clinical variability of osteogenesis imperfecta reflecting molecular heterogeneity: cysteine substitutions in the alpha 1(I) collagen chain producing lethal and mild forms. J Biol Chem 1986. [DOI: 10.1016/s0021-9258(19)84475-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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8
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Fateev VA, Titov NS. Comparative biochemical characteristics of isotope-labeled compounds and their unlabeled analogs (survey). Pharm Chem J 1986. [DOI: 10.1007/bf00766894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Abstract
The content and relative biosynthetic rates of thymosin beta 4 have been determined in 28 different cell lines. The highest content of thymosin beta 4 as well as the highest rate of biosynthesis was observed in Epstein-Barr virus-transformed human B-cell lines. The levels observed in these cells are 1 pg thymosin beta 4 per cell, which is three times higher than that in rat peritoneal macrophages. Thus, these B-cell lines have the highest content of thymosin beta 4 of any cell type yet described. Since all of the Epstein-Barr virus-transformed B-cells described here grow in suspension, it is unlikely that the presence of thymosin beta 4 is related to anchorage in these cells. Thymosin beta 4 is not secreted by viable Epstein-Barr virus-transformed B cells in culture, suggesting some intracellular function of the peptide. These results indicate that these B-cell lines may be suitable for the study of thymosin beta 4 function.
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Schimz KL, Broll B, John B. Cellobiose phosphorylase (EC 2.4.1.20) of Cellulomonas: occurrence, induction, and its role in cellobiose metabolism. Arch Microbiol 1983. [DOI: 10.1007/bf00413475] [Citation(s) in RCA: 28] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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