SigCom LINCS: data and metadata search engine for a million gene expression signatures

被引:39
作者
Evangelista, John Erol [1 ]
Clarke, Daniel J. B. [1 ]
Xie, Zhuorui [1 ]
Lachmann, Alexander [1 ]
Jeon, Minji [1 ]
Chen, Kerwin [1 ]
Jagodnik, Kathleen M. [1 ]
Jenkins, Sherry L. [1 ]
Kuleshov, Maxim, V [1 ]
Wojciechowicz, Megan L. [1 ]
Schurer, Stephan C. [2 ]
Medvedovic, Mario [3 ]
Ma'ayan, Avi [1 ]
机构
[1] Icahn Sch Med Mt Sinai, Mt Sinai Ctr Bioinformat, Dept Pharmacol Sci, Dept Artificial Intelligence & Human Hlth, One Gustave L Levy Pl,Box 1603, New York, NY 10029 USA
[2] Univ Cincinnati, Dept Biomed Informat, Coll Med, Cincinnati, OH 45267 USA
[3] Univ Miami, Miller Sch Med, Dept Pharmacol, Miami, FL 33136 USA
基金
美国国家卫生研究院;
关键词
SET ENRICHMENT ANALYSIS; CHARACTERISTIC DIRECTION; CONNECTIVITY MAP; PLATFORM; ONLINE; GEO; BIOCONDUCTOR; GENERATION; PREDICTION; MOLECULES;
D O I
10.1093/nar/gkac328
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
Millions of transcriptome samples were generated by the Library of Integrated Network-based Cellular Signatures (LINCS) program. When these data are processed into searchable signatures along with signatures extracted from Genotype-Tissue Expression (GTEx) and Gene Expression Omnibus (GEO), connections between drugs, genes, pathways and diseases can be illuminated. SigCom LINCS is a webserver that serves over a million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. SigCom LINCS is built with Signature Commons, a cloud-agnostic skeleton Data Commons with a focus on serving searchable signatures. SigCom LINCS provides a rapid signature similarity search for mimickers and reversers given sets of up and down genes, a gene set, a single gene, or any search term. Additionally, users of SigCom LINCS can perform a metadata search to find and analyze subsets of signatures and find information about genes and drugs. SigCom LINCS is findable, accessible, interoperable, and reusable (FAIR) with metadata linked to standard ontologies and vocabularies. In addition, all the data and signatures within SigCom LINCS are available via a well-documented API. In summary, SigCom LINCS, available at https://maayanlab.cloud/sigcom-lines, is a rich webserver resource for accelerating drug and target discovery in systems pharmacology. [GRAPHICS] .
引用
收藏
页码:W697 / W709
页数:13
相关论文
共 86 条
  • [41] Massive mining of publicly available RNA-seq data from human and mouse
    Lachmann, Alexander
    Torre, Denis
    Keenan, Alexandra B.
    Jagodnik, Kathleen M.
    Lee, Hoyjin J.
    Wang, Lily
    Silverstein, Moshe C.
    Ma'ayan, Avi
    [J]. NATURE COMMUNICATIONS, 2018, 9
  • [42] The connectivity map: Using gene-expression signatures to connect small molecules, genes, and disease
    Lamb, Justin
    Crawford, Emily D.
    Peck, David
    Modell, Joshua W.
    Blat, Irene C.
    Wrobel, Matthew J.
    Lerner, Jim
    Brunet, Jean-Philippe
    Subramanian, Aravind
    Ross, Kenneth N.
    Reich, Michael
    Hieronymus, Haley
    Wei, Guo
    Armstrong, Scott A.
    Haggarty, Stephen J.
    Clemons, Paul A.
    Wei, Ru
    Carr, Steven A.
    Lander, Eric S.
    Golub, Todd R.
    [J]. SCIENCE, 2006, 313 (5795) : 1929 - 1935
  • [43] voom: precision weights unlock linear model analysis tools for RNA-seq read counts
    Law, Charity W.
    Chen, Yunshun
    Shi, Wei
    Smyth, Gordon K.
    [J]. GENOME BIOLOGY, 2014, 15 (02):
  • [44] Li Hairi, 2012, Curr Protoc Mol Biol, VChapter 4, DOI 10.1002/0471142727.mb0413s98
  • [45] A Library of Phosphoproteomic and Chromatin Signatures for Characterizing Cellular Responses to Drug Perturbations
    Litichevskiy, Lev
    Peckner, Ryan
    Abelin, Jennifer G.
    Asiedu, Jacob K.
    Creech, Amanda L.
    Davis, John F.
    Davison, Desiree
    Dunning, Caitlin M.
    Egertson, Jarrett D.
    Egri, Shawn
    Gould, Joshua
    Ko, Tak
    Johnson, Sarah A.
    Lahr, David L.
    Lam, Daniel
    Liu, Zihan
    Lyons, Nicholas J.
    Lu, Xiaodong
    MacLean, Brendan X.
    Mungenast, Alison E.
    Officer, Adam
    Natoli, Ted E.
    Papanastasiou, Malvina
    Patel, Jinal
    Sharma, Vagisha
    Toder, Courtney
    Tubelli, Andrew A.
    Young, Jennie Z.
    Carr, Steven A.
    Golub, Todd R.
    Subramanian, Aravind
    MacCoss, Michael J.
    Tsai, Li-Huei
    Jaffe, Jacob D.
    [J]. CELL SYSTEMS, 2018, 6 (04) : 424 - +
  • [46] ON A TEST OF WHETHER ONE OF 2 RANDOM VARIABLES IS STOCHASTICALLY LARGER THAN THE OTHER
    MANN, HB
    WHITNEY, DR
    [J]. ANNALS OF MATHEMATICAL STATISTICS, 1947, 18 (01): : 50 - 60
  • [47] McInnes L, 2020, Arxiv, DOI [arXiv:1802.03426, 10.21105/joss.00861]
  • [48] De novo generation of hit-like molecules from gene expression signatures using artificial intelligence
    Mendez-Lucio, Oscar
    Baillif, Benoit
    Clevert, Djork-Arne
    Rouquie, David
    Wichard, Joerg
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [49] Uberon, an integrative multi-species anatomy ontology
    Mungall, Christopher J.
    Torniai, Carlo
    Gkoutos, Georgios V.
    Lewis, Suzanna E.
    Haendel, Melissa A.
    [J]. GENOME BIOLOGY, 2012, 13 (01):
  • [50] Common and cell-type specific responses to anti-cancer drugs revealed by high throughput transcript profiling
    Niepel, Mario
    Hafner, Marc
    Duan, Qiaonan
    Wang, Zichen
    Paull, Evan O.
    Chung, Mirra
    Lu, Xiaodong
    Stuart, Joshua M.
    Golub, Todd R.
    Subramanian, Aravind
    Ma'ayan, Avi
    Sorger, Peter K.
    [J]. NATURE COMMUNICATIONS, 2017, 8