An integrative, multi-omics approach towards the prioritization of Klebsiella pneumoniae drug targets

被引:0
|
作者
Pablo Ivan Pereira Ramos
Darío Fernández Do Porto
Esteban Lanzarotti
Ezequiel J. Sosa
Germán Burguener
Agustín M. Pardo
Cecilia C. Klein
Marie-France Sagot
Ana Tereza R. de Vasconcelos
Ana Cristina Gales
Marcelo Marti
Adrián G. Turjanski
Marisa F. Nicolás
机构
[1] Fundação Oswaldo Cruz (FIOCRUZ),Instituto Gonçalo Moniz
[2] Laboratório Nacional de Computação Científica,Plataforma de Bioinformática Argentina (BIA), Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales
[3] Petrópolis,Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales
[4] Universidad de Buenos Aires,Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN) CONICET
[5] Universidad de Buenos Aires,Laboratório Alerta. Division of Infectious Diseases, Department of Internal Medicine. Escola Paulista de Medicina
[6] Ciudad Universitaria,undefined
[7] Pabellón 2,undefined
[8] Ciudad Universitaria,undefined
[9] Pabellón 2,undefined
[10] Inria Grenoble Rhône-Alpes,undefined
[11] Université Claude Bernard Lyon 1,undefined
[12] Universidade Federal de São Paulo,undefined
[13] Centre for Genomic Regulation (CRG),undefined
[14] Departament de Genètica,undefined
[15] Microbiologia i Estadística,undefined
[16] Facultat de Biologia and Institut de Biomedicina (IBUB),undefined
[17] Universitat de Barcelona,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Klebsiella pneumoniae (Kp) is a globally disseminated opportunistic pathogen that can cause life-threatening infections. It has been found as the culprit of many infection outbreaks in hospital environments, being particularly aggressive towards newborns and adults under intensive care. Many Kp strains produce extended-spectrum β-lactamases, enzymes that promote resistance against antibiotics used to fight these infections. The presence of other resistance determinants leading to multidrug-resistance also limit therapeutic options, and the use of ‘last-resort’ drugs, such as polymyxins, is not uncommon. The global emergence and spread of resistant strains underline the need for novel antimicrobials against Kp and related bacterial pathogens. To tackle this great challenge, we generated multiple layers of ‘omics’ data related to Kp and prioritized proteins that could serve as attractive targets for antimicrobial development. Genomics, transcriptomics, structuromic and metabolic information were integrated in order to prioritize candidate targets, and this data compendium is freely available as a web server. Twenty-nine proteins with desirable characteristics from a drug development perspective were shortlisted, which participate in important processes such as lipid synthesis, cofactor production, and core metabolism. Collectively, our results point towards novel targets for the control of Kp and related bacterial pathogens.
引用
收藏
相关论文
共 50 条
  • [41] HEAD AND NECK SQUAMOUS CELL CARCINOMA SIGNATURES: AN INTEGRATIVE MULTI-OMICS APPROACH
    Esteves, Luisa
    Ribeiro, Ilda P.
    Caramelo, Francisco
    Carreira, Isabel M.
    Melo, Joana B.
    MEDICINE, 2022, 101 (30)
  • [42] Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
    Christos Dimitrakopoulos
    Sravanth Kumar Hindupur
    Marco Colombi
    Dritan Liko
    Charlotte K. Y. Ng
    Salvatore Piscuoglio
    Jonas Behr
    Ariane L. Moore
    Jochen Singer
    Hans-Joachim Ruscheweyh
    Matthias S. Matter
    Dirk Mossmann
    Luigi M. Terracciano
    Michael N. Hall
    Niko Beerenwinkel
    BMC Genomics, 22
  • [43] Identification of antiparasitic drug targets using a multi-omics workflow in the acanthocephalan model
    Hanno Schmidt
    Katharina Mauer
    Manuel Glaser
    Bahram Sayyaf Dezfuli
    Sören Lukas Hellmann
    Ana Lúcia Silva Gomes
    Falk Butter
    Rebecca C. Wade
    Thomas Hankeln
    Holger Herlyn
    BMC Genomics, 23
  • [44] Multi-Omics Reveals IBS Therapeutic Targets
    不详
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2020, 108 (06) : 1121 - 1121
  • [45] Multi-Omics Integrative Analysis Uncovers Molecular Subtypes and mRNAs as Therapeutic Targets for Liver Cancer
    Shen, Yi
    Xiong, Wei
    Gu, Qi
    Zhang, Qin
    Yue, Jia
    Liu, Changsong
    Wang, Duan
    FRONTIERS IN MEDICINE, 2021, 8
  • [46] An integrative imputation method based on multi-omics datasets
    Dongdong Lin
    Jigang Zhang
    Jingyao Li
    Chao Xu
    Hong-Wen Deng
    Yu-Ping Wang
    BMC Bioinformatics, 17
  • [47] Integrative Multi-omics Analysis of Childhood Aggressive Behavior
    Hagenbeek, Fiona A.
    van Dongen, Jenny
    Pool, Rene
    Roetman, Peter J.
    Harms, Amy C.
    Hottenga, Jouke Jan
    Kluft, Cornelis
    Colins, Olivier F.
    van Beijsterveldt, Catharina E. M.
    Fanos, Vassilios
    Ehli, Erik A.
    Hankemeier, Thomas
    Vermeiren, Robert R. J. M.
    Bartels, Meike
    Dejean, Sebastien
    Boomsma, Dorret, I
    BEHAVIOR GENETICS, 2023, 53 (02) : 101 - 117
  • [48] MinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis
    Maes, Alexandre
    Martinez, Xavier
    Druart, Karen
    Laurent, Benoist
    Guegan, Sean
    Marchand, Christophe H.
    Lemaire, Stephane D.
    Baaden, Marc
    JOURNAL OF INTEGRATIVE BIOINFORMATICS, 2018, 15 (02)
  • [49] Bayesian integrative model for multi-omics data with missingness
    Fang, Zhou
    Ma, Tianzhou
    Tang, Gong
    Zhu, Li
    Yan, Qi
    Wang, Ting
    Celedon, Juan C.
    Chen, Wei
    Tseng, George C.
    BIOINFORMATICS, 2018, 34 (22) : 3801 - 3808
  • [50] Integrative Multi-omics Analysis of Childhood Aggressive Behavior
    Fiona A. Hagenbeek
    Jenny van Dongen
    René Pool
    Peter J. Roetman
    Amy C. Harms
    Jouke Jan Hottenga
    Cornelis Kluft
    Olivier F. Colins
    Catharina E. M. van Beijsterveldt
    Vassilios Fanos
    Erik A. Ehli
    Thomas Hankemeier
    Robert R. J. M. Vermeiren
    Meike Bartels
    Sébastien Déjean
    Dorret I. Boomsma
    Behavior Genetics, 2023, 53 : 101 - 117