Beyond protein expression, MOPED goes multi-omics

被引:14
|
作者
Montague, Elizabeth [1 ,2 ,3 ,4 ]
Janko, Imre [2 ,3 ,4 ]
Stanberry, Larissa [1 ,2 ,3 ,4 ]
Lee, Elaine [2 ,3 ,4 ]
Choiniere, John [1 ,2 ,4 ]
Anderson, Nathaniel [1 ,2 ,4 ]
Stewart, Elizabeth [1 ,4 ]
Broomall, William [2 ,3 ,4 ]
Higdon, Roger [1 ,2 ,3 ,4 ]
Kolker, Natali [2 ,3 ,4 ]
Kolker, Eugene [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
机构
[1] Seattle Childrens Res Inst, Ctr Dev Therapeut, Bioinformat & High Throughput Anal Lab, Seattle, WA 98101 USA
[2] Seattle Childrens Res Inst, High Throughput Anal Core, Seattle, WA 98101 USA
[3] Seattle Childrens, CDO Analyt, Seattle, WA 98101 USA
[4] Data Enabled Life Sci Alliance DELSA Global, Seattle, WA 98101 USA
[5] Univ Washington, Dept Biomed Informat & Med Educ, Seattle, WA 98109 USA
[6] Univ Washington, Dept Pediat, Seattle, WA 98109 USA
[7] Northeastern Univ, Coll Sci, Dept Chem & Chem Biol, Boston, MA 02115 USA
基金
美国国家科学基金会;
关键词
FALSE DISCOVERY RATE; METADATA CHECKLIST; PERSONAL OMICS; DATA-BANK; DATABASE; PROTEOMICS; KNOWLEDGE; CANCER; IDENTIFICATION; INFORMATION;
D O I
10.1093/nar/gku1175
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
MOPED (Multi-Omics Profiling Expression Database; http://moped.proteinspire.org) has transitioned from solely a protein expression database to a multi-omics resource for human and model organisms. Through a web-based interface, MOPED presents consistently processed data for gene, protein and pathway expression. To improve data quality, consistency and use, MOPED includes metadata detailing experimental design and analysis methods. The multi-omics data are integrated through direct links between genes and proteins and further connected to pathways and experiments. MOPED now contains over 5 million records, information for approximately 75 000 genes and 50 000 proteins from four organisms (human, mouse, worm, yeast). These records correspond to 670 unique combinations of experiment, condition, localization and tissue. MOPED includes the following new features: pathway expression, Pathway Details pages, experimental metadata checklists, experiment summary statistics and more advanced searching tools. Advanced searching enables querying for genes, proteins, experiments, pathways and keywords of interest. The system is enhanced with visualizations for comparing across different data types. In the future MOPED will expand the number of organisms, increase integration with pathways and provide connections to disease.
引用
收藏
页码:D1145 / D1151
页数:7
相关论文
共 50 条
  • [1] MOPED 2.5-An Integrated Multi-Omics Resource: Multi-Omics Profiling Expression Database Now Includes Transcriptomics Data
    Montague, Elizabeth
    Stanberry, Larissa
    Higdon, Roger
    Janko, Imre
    Lee, Elaine
    Anderson, Nathaniel
    Choiniere, John
    Stewart, Elizabeth
    Yandl, Gregory
    Broomall, William
    Kolker, Natali
    Kolker, Eugene
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2014, 18 (06) : 335 - 343
  • [2] Integrative spatial protein profiling with multi-omics
    Fan, Rong
    NATURE METHODS, 2024, 21 (12) : 2223 - 2225
  • [3] Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
    Shahrajabian, Mohamad Hesam
    Sun, Wenli
    CURRENT PHARMACEUTICAL ANALYSIS, 2023, 19 (04) : 267 - 281
  • [4] Differential protein expression and metabolite profiling in glaucoma: Insights from a multi-omics analysis
    Mok, Jeong-hun
    Park, Do Young
    Han, Jong Chul
    BIOFACTORS, 2024, 50 (06) : 1220 - 1235
  • [5] Multi-omics integration to identify the genetic expression and protein signature of dilated and ischemic cardiomyopathy
    Portokallidou, Konstantina
    Dovrolis, Nikolas
    Ragia, Georgia
    Atzemian, Natalia
    Kolios, George
    Manolopoulos, Vangelis G.
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2023, 10
  • [6] Single-cell multi-omics analysis of SNV, CNV, and protein expression.
    Ooi, Aik
    Dhingra, Dalia
    Sciambi, Adam
    Thompson, Kate
    Marin, Jacqueline
    Parikh, Saurabh
    Manivannan, Mani
    Ruff, David
    CANCER RESEARCH, 2021, 81 (13)
  • [7] Connecting 'multi-omics' approaches to endogenous protein complexes
    Wu, Di
    Robinson, Carol V.
    TRENDS IN CHEMISTRY, 2021, 3 (06): : 445 - 455
  • [8] Multi-omics analysis identifies drivers of protein phosphorylation
    Zhang, Tian
    Keele, Gregory R.
    Gyuricza, Isabela Gerdes
    Vincent, Matthew
    Brunton, Catherine
    Bell, Timothy A.
    Hock, Pablo
    Shaw, Ginger D.
    Munger, Steven C.
    de Villena, Fernando Pardo-Manuel
    Ferris, Martin T.
    Paulo, Joao A.
    Gygi, Steven P.
    Churchill, Gary A.
    GENOME BIOLOGY, 2023, 24 (01)
  • [9] Multi-omics analysis identifies drivers of protein phosphorylation
    Tian Zhang
    Gregory R. Keele
    Isabela Gerdes Gyuricza
    Matthew Vincent
    Catherine Brunton
    Timothy A. Bell
    Pablo Hock
    Ginger D. Shaw
    Steven C. Munger
    Fernando Pardo-Manuel de Villena
    Martin T. Ferris
    Joao A. Paulo
    Steven P. Gygi
    Gary A. Churchill
    Genome Biology, 24
  • [10] Are multi-omics enough?
    Cristina Vilanova
    Manuel Porcar
    Nature Microbiology, 1 (8)