Large-scale identification of functional microRNA targeting reveals cooperative regulation of the hemostatic system

被引:28
|
作者
Nourse, J. [1 ,2 ]
Braun, J. [3 ]
Lackner, K. [2 ]
Huettelmaier, S. [3 ]
Danckwardt, S. [1 ,2 ,4 ]
机构
[1] Johannes Gutenberg Univ Mainz, Univ Med Ctr, CTH, Mainz, Germany
[2] Johannes Gutenberg Univ Mainz, Univ Med Ctr, Inst Clin Chem & Lab Med, Mainz, Germany
[3] Martin Luther Univ Halle Saale, Inst Mol Med, Halle, Germany
[4] German Ctr Cardiovasc Res DZHK, Univ Med Ctr, Mainz, Germany
关键词
anticoagulants; haemophilia; hemostasis; microRNAs; therapeutics; thrombosis; CHRONIC KIDNEY-DISEASE; GAIN-OF-FUNCTION; ANTITHROMBIN DEFICIENCY; VENOUS THROMBOSIS; THERAPEUTICS; EPIDEMIOLOGY; CANCER; GENE; RECOGNITION; COAGULATION;
D O I
10.1111/jth.14290
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: microRNAs (miRNAs) confer robustness to complex molecular networks regulating biological functions. However, despite the involvement of miRNAs in almost all biological processes, and the importance of the hemostatic system for a multitude of actions in and beyond blood coagulation, the role of miRNAs in hemostasis is poorly defined. Objectives: Here we comprehensively illuminate miRNA-mediated regulation of the hemostatic system in an unbiased manner. Methods: In contrast to widely applied association studies, we used an integrative screening approach that combines functional aspects of miRNA silencing with biophysical miRNA interaction based on RNA pull-downs (miTRAP) coupled to next-generation sequencing. Results: Examination of a panel of 27 hemostasis-associated gene 3'UTRs revealed the majority to possess substantial Dicer-dependent silencing capability, suggesting functional miRNA targeting. miTRAP revealed 150 specific miRNA interactions with 14 3'UTRs, of which 52, involving 40 miRNAs, were functionally confirmed. This includes cooperative miRNA regulation of key hemostatic genes comprising procoagulant (F7, F8, F11, FGA, FGG and KLKB1) and anticoagulant (SERPINA10, PROZ, SERPIND1 and SERPINC1) as well as fibrinolytic (PLG) components. Bioinformatic analysis of miRNA functionality reveals established and potential novel links between the hemostatic system and other pathologies, such as cancer, bone metabolism and renal function. Conclusions: Our findings provide, along with an in-vivo proof of concept, deep insights into the network of miRNAs regulating the hemostatic system and present a foundation for biomarker discovery and novel targeted therapeutics for correction of de-regulated hemostasis and associated processes in the future. A repository of the miRNA targetome covering 14 hemostatic components is provided.
引用
收藏
页码:2233 / 2245
页数:13
相关论文
共 50 条
  • [1] Large-Scale Identification of Protein Crotonylation Reveals Its Role in Multiple Cellular Functions
    Wei, Wei
    Mao, Anqi
    Tang, Bin
    Zeng, Qiufang
    Gao, Shennan
    Liu, Xiaoguang
    Lu, Lu
    Li, Wenpeng
    Du, James X.
    Li, Jiwen
    Wong, Jiemin
    Liao, Lujian
    JOURNAL OF PROTEOME RESEARCH, 2017, 16 (04) : 1743 - 1752
  • [2] Identification of novel, functional, long noncoding RNAs involved in programmed, large-scale genome rearrangements
    Bechara, Sebastian T.
    Kabbani, Lyna E. S.
    Maurer-Alcala, Xyrus X.
    Nowacki, Mariusz
    RNA, 2022, 28 (08) : 1110 - 1127
  • [3] APoc: large-scale identification of similar protein pockets
    Gao, Mu
    Skolnick, Jeffrey
    BIOINFORMATICS, 2013, 29 (05) : 597 - 604
  • [4] Large-scale manufacturing of soluble hemostatic spacer dressing with excellent mechanical and comfortable properties
    Zhang, Shiyao
    Zhang, Qianyu
    Lin, Qiujian
    Yang, Tong
    Jiang, Gaoming
    Chen, Fengxiang
    Ma, Pibo
    MATERIALS & DESIGN, 2023, 229
  • [5] Large-scale assessment of the gliomasphere model system
    Laks, Dan R.
    Crisman, Thomas J.
    Shih, Michelle Y. S.
    Mottahedeh, Jack
    Gao, Fuying
    Sperry, Jantzen
    Garrett, Matthew C.
    Yong, William H.
    Cloughesy, Timothy F.
    Liau, Linda M.
    Lai, Albert
    Coppola, Giovanni
    Kornblum, Harley I.
    NEURO-ONCOLOGY, 2016, 18 (10) : 1367 - 1378
  • [6] Large-scale plasma metabolome analysis reveals alterations in HDL metabolism in migraine
    Onderwater, Gerrit L. J.
    Ligthart, Lannie
    Bot, Mariska
    Demirkan, Ayse
    Fu, Jingyuan
    van der Kallen, Carla J. H.
    Vijfhuizen, Lisanne S.
    Pool, Rene
    Liu, Jun
    Vanmolkot, Floris H. M.
    Beekman, Marian
    Wen, Ke-xin
    Amin, Najaf
    Thesing, Carisha S.
    Pijpers, Judith A.
    Kies, Dennis A.
    Zielman, Ronald
    de Boer, Irene
    van Greevenbroek, Marleen M. J.
    Arts, Ilja C. W.
    Milaneschi, Yuri
    Schram, Miranda T.
    Dagnelie, Pieter C.
    Franke, Lude
    Ikram, M. Arfan
    Ferrari, Michel D.
    Goeman, Jelle J.
    Slagboom, P. Eline
    Wijmenga, Cisca
    Stehouwer, Coen D. A.
    Boomsma, Dorret I.
    van Duijn, Cornelia M.
    Penninx, Brenda W.
    't Hoen, Peter A. C.
    Terwindt, Gisela M.
    van den Maagdenberg, Arn M. J. M.
    NEUROLOGY, 2019, 92 (16) : E1899 - E1911
  • [7] Large-scale genome sampling reveals unique immunity and metabolic adaptations in bats
    Moreno Santillan, Diana D.
    Lama, Tanya M.
    Gutierrez Guerrero, Yocelyn T.
    Brown, Alexis M.
    Donat, Paul
    Zhao, Huabin
    Rossiter, Stephen J.
    Yohe, Laurel R.
    Potter, Joshua H.
    Teeling, Emma C.
    Vernes, Sonja C.
    Davies, Kalina T. J.
    Myers, Eugene
    Hughes, Graham M.
    Huang, Zixia
    Hoffmann, Federico
    Corthals, Angelique P.
    Ray, David A.
    Davalos, Liliana M.
    MOLECULAR ECOLOGY, 2021, 30 (23) : 6449 - 6467
  • [8] Large-scale identification of expression quantitative trait loci in Arabidopsis reveals novel candidate regulators of immune responses and other processes
    Wang, Xingang
    Ren, Min
    Liu, Danni
    Zhang, Dabao
    Zhang, Cuijun
    Lang, Zhaobo
    Macho, Alberto P.
    Zhang, Min
    Zhu, Jian-Kang
    JOURNAL OF INTEGRATIVE PLANT BIOLOGY, 2020, 62 (10) : 1469 - 1483
  • [9] Significance of neural phonotactic models for large-scale spoken language identification
    Srivastava, Brij Mohan Lal
    Vydana, Hari
    Vuppala, Anil Kumar
    Shrivastava, Manish
    2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2017, : 2144 - 2151
  • [10] Extended TAQing system for large-scale plant genome reorganization
    Tanaka, Hidenori
    Muramoto, Nobuhiko
    Sugimoto, Hiroki
    Oda, Arisa H.
    Ohta, Kunihiro
    PLANT JOURNAL, 2020, 103 (06): : 2139 - 2150