Simultaneous RNA and DNA Adductomics Using Single Data-Independent Acquisition Mass Spectrometry Analysis

被引:6
|
作者
Martella, Giulia [1 ]
Motwani, Nisha H. [2 ]
Khan, Zareen [1 ]
Sousa, Pedro F. M. [3 ]
Gorokhova, Elena [1 ]
Motwani, Hitesh V. [1 ]
机构
[1] Stockholm Univ, Dept Environm Sci, SE-10691 Stockholm, Sweden
[2] Sodertorn Univ, Sch Nat Sci Technol & Environm Studies, SE-14189 Huddinge, Sweden
[3] Stockholm Univ, Dept Mat & Environm Chem, SE-10691 Stockholm, Sweden
基金
瑞典研究理事会;
关键词
5-METHYLCYTOSINE;
D O I
10.1021/acs.chemrestox.3c00041
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Adductomics studies are used for the detection and characterizationof various chemical modifications (adducts) of nucleic acids and proteins.The advancements in liquid chromatography coupled with high-resolutiontandem mass spectrometry (HRMS/MS) have resulted in efficient methodsfor qualitative and quantitative adductomics. We developed an HRMS-basedmethod for the simultaneous analysis of RNA and DNA adducts in a singlerun and demonstrated its application using Baltic amphipods, usefulsentinels of environmental disturbances, as test organisms. The noveltyof this method is screening for RNA and DNA adducts by a single injectionon an Orbitrap HRMS instrument using full scan and data-independentacquisition. The MS raw files were processed with an open-source program, nLossFinder, to identify and distinguish RNA and DNA adductsbased on the characteristic neutral loss of ribonucleosides and 2 & PRIME;-deoxyribonucleosides,respectively. In the amphipods, in addition to the nearly 150 putativeDNA adducts characterized earlier, we detected 60 putative RNA adducts.For the structural identification of the detected RNA adducts, theMODOMICS database was used. The identified RNA adducts included simplemono- and dimethylation and other larger functional groups on differentribonucleosides and deaminated product inosine. However, 54 of theseRNA adducts are not yet structurally identified, and further workon their characterization may uncover new layers of information relatedto the transcriptome and help understand their biological significance.Considering the susceptibility of nucleic acids to environmental factors,including pollutants, the developed multi-adductomics methodologywith further advancement has the potential to provide biomarkers fordiagnostics of pollution effects in biota.
引用
收藏
页码:1471 / 1482
页数:12
相关论文
共 50 条
  • [21] Quantitative proteomic characterization of human sperm cryopreservation: using data-independent acquisition mass spectrometry
    Longlong Fu
    Qi An
    Kaishu Zhang
    Ying Liu
    Yue Tong
    Jianfeng Xu
    Fang Zhou
    Xiaowei Wang
    Ying Guo
    Wenhong Lu
    Xiaowei Liang
    Yiqun Gu
    BMC Urology, 19
  • [22] Proteomic comparison of osteoarthritic and reference human menisci using data-independent acquisition mass spectrometry
    Folkesson, E.
    Turkiewicz, A.
    Ali, N.
    Ryden, M.
    Hughes, H., V
    Tjornstrand, J.
    Onnerfjord, P.
    Englund, M.
    OSTEOARTHRITIS AND CARTILAGE, 2020, 28 (08) : 1092 - 1101
  • [23] MetaboMSDIA: A tool for implementing data-independent acquisition in metabolomic-based mass spectrometry analysis
    Ledesma-Escobar, Carlos Augusto
    Priego-Capote, Feliciano
    Calderon-Santiago, Monica
    ANALYTICA CHIMICA ACTA, 2023, 1266
  • [24] Data-Independent Acquisition Mass Spectrometry in Metaproteomics of Gut Microbiota-Implementation and Computational Analysis
    Aakko, Juhani
    Pietila, Sami
    Suomi, Tomi
    Mahmoudian, Mehrad
    Toivonen, Raine
    Kouvonen, Petri
    Rokka, Anne
    Hanninen, Arno
    Elo, Laura L.
    JOURNAL OF PROTEOME RESEARCH, 2020, 19 (01) : 432 - 436
  • [25] Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry
    Sofani Tafesse Gebreyesus
    Asad Ali Siyal
    Reta Birhanu Kitata
    Eric Sheng-Wen Chen
    Bayarmaa Enkhbayar
    Takashi Angata
    Kuo-I Lin
    Yu-Ju Chen
    Hsiung-Lin Tu
    Nature Communications, 13
  • [26] Identification of Mature Atherosclerotic Plaque Proteome Signatures Using Data-Independent Acquisition Mass Spectrometry
    Hansmeier, Nicole
    Buttigieg, Josef
    Kumar, Pankaj
    Pelle, Shaneen
    Choi, Kyoo Yoon
    Kopriva, David
    Chao, Tzu-Chiao
    JOURNAL OF PROTEOME RESEARCH, 2018, 17 (01) : 164 - 176
  • [27] Data-independent acquisition mass spectrometry improves spatially resolved analysis of the human skin proteome
    Ozorun, Gulsev
    Eckersley, Alexander
    Bradley, Eleanor
    Watson, Rachel
    Sherrat, Michael
    Swift, Joe
    BRITISH JOURNAL OF DERMATOLOGY, 2024, 190 (06) : e93 - e93
  • [28] Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry
    Gebreyesus, Sofani Tafesse
    Siyal, Asad Ali
    Kitata, Reta Birhanu
    Chen, Eric Sheng-Wen
    Enkhbayar, Bayarmaa
    Angata, Takashi
    Lin, Kuo-I
    Chen, Yu-Ju
    Tu, Hsiung-Lin
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [29] OptiMissP: A dashboard to assess missingness in proteomic data-independent acquisition mass spectrometry
    Arioli, Angelica
    Dagliati, Arianna
    Geary, Bethany
    Peek, Niels
    Kalra, Philip A.
    Whetton, Anthony D.
    Geifman, Nophar
    PLOS ONE, 2021, 16 (04):
  • [30] Recent advances of data-independent acquisition mass spectrometry-based proteomics
    Guo, Tiannan
    Aebersold, Ruedi
    PROTEOMICS, 2023, 23 (7-8)