IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v9y2018i1d10.1038_s41467-018-03751-6.html
   My bibliography  Save this article

Massive mining of publicly available RNA-seq data from human and mouse

Author

Listed:
  • Alexander Lachmann

    (Icahn School of Medicine at Mount Sinai)

  • Denis Torre

    (Icahn School of Medicine at Mount Sinai)

  • Alexandra B. Keenan

    (Icahn School of Medicine at Mount Sinai)

  • Kathleen M. Jagodnik

    (Icahn School of Medicine at Mount Sinai)

  • Hoyjin J. Lee

    (Icahn School of Medicine at Mount Sinai)

  • Lily Wang

    (Icahn School of Medicine at Mount Sinai)

  • Moshe C. Silverstein

    (Icahn School of Medicine at Mount Sinai)

  • Avi Ma’ayan

    (Icahn School of Medicine at Mount Sinai)

Abstract

RNA sequencing (RNA-seq) is the leading technology for genome-wide transcript quantification. However, publicly available RNA-seq data is currently provided mostly in raw form, a significant barrier for global and integrative retrospective analyses. ARCHS4 is a web resource that makes the majority of published RNA-seq data from human and mouse available at the gene and transcript levels. For developing ARCHS4, available FASTQ files from RNA-seq experiments from the Gene Expression Omnibus (GEO) were aligned using a cloud-based infrastructure. In total 187,946 samples are accessible through ARCHS4 with 103,083 mouse and 84,863 human. Additionally, the ARCHS4 web interface provides intuitive exploration of the processed data through querying tools, interactive visualization, and gene pages that provide average expression across cell lines and tissues, top co-expressed genes for each gene, and predicted biological functions and protein–protein interactions for each gene based on prior knowledge combined with co-expression.

Suggested Citation

  • Alexander Lachmann & Denis Torre & Alexandra B. Keenan & Kathleen M. Jagodnik & Hoyjin J. Lee & Lily Wang & Moshe C. Silverstein & Avi Ma’ayan, 2018. "Massive mining of publicly available RNA-seq data from human and mouse," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03751-6
    DOI: 10.1038/s41467-018-03751-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-018-03751-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-018-03751-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daewon Lee & Eunju Yoon & Su Jin Ham & Kunwoo Lee & Hansaem Jang & Daihn Woo & Da Hyun Lee & Sehyeon Kim & Sekyu Choi & Jongkyeong Chung, 2024. "Diabetic sensory neuropathy and insulin resistance are induced by loss of UCHL1 in Drosophila," Nature Communications, Nature, vol. 15(1), pages 1-22, December.
    2. Milton Pividori & Sumei Lu & Binglan Li & Chun Su & Matthew E. Johnson & Wei-Qi Wei & Qiping Feng & Bahram Namjou & Krzysztof Kiryluk & Iftikhar J. Kullo & Yuan Luo & Blair D. Sullivan & Benjamin F. V, 2023. "Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    3. Isabel Tundidor & Marta Seijo-Vila & Sandra Blasco-Benito & María Rubert-Hernández & Sandra Adámez & Clara Andradas & Sara Manzano & Isabel Álvarez-López & Cristina Sarasqueta & María Villa-Morales & , 2023. "Identification of fatty acid amide hydrolase as a metastasis suppressor in breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Juliane Tschuck & Lea Theilacker & Ina Rothenaigner & Stefanie A. I. Weiß & Banu Akdogan & Van Thanh Lam & Constanze Müller & Roman Graf & Stefanie Brandner & Christian Pütz & Tamara Rieder & Philippe, 2023. "Farnesoid X receptor activation by bile acids suppresses lipid peroxidation and ferroptosis," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    5. Jonathan P. Ling & Alexei M. Bygrave & Clayton P. Santiago & Rogger P. Carmen-Orozco & Vickie T. Trinh & Minzhong Yu & Yini Li & Ying Liu & Kyra D. Bowden & Leighton H. Duncan & Jeong Han & Kamil Tane, 2022. "Cell-specific regulation of gene expression using splicing-dependent frameshifting," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    6. Kenneth A. Wilson & Sudipta Bar & Eric B. Dammer & Enrique M. Carrera & Brian A. Hodge & Tyler A. U. Hilsabeck & Joanna Bons & George W. Brownridge & Jennifer N. Beck & Jacob Rose & Melia Granath-Pane, 2024. "OXR1 maintains the retromer to delay brain aging under dietary restriction," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    7. Arianna Landini & Irena Trbojević-Akmačić & Pau Navarro & Yakov A. Tsepilov & Sodbo Z. Sharapov & Frano Vučković & Ozren Polašek & Caroline Hayward & Tea Petrović & Marija Vilaj & Yurii S. Aulchenko &, 2022. "Genetic regulation of post-translational modification of two distinct proteins," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Yaqiong Li & Zhipeng Niu & Jichao Yang & Xuke Yang & Yukun Chen & Yingying Li & Xiaohan Liang & Jingwen Zhang & Fuqiang Fan & Ping Wu & Chao Peng & Bang Shen, 2023. "Rapid metabolic reprogramming mediated by the AMP-activated protein kinase during the lytic cycle of Toxoplasma gondii," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    9. Nikolai Schleussner & Pierre Cauchy & Vedran Franke & Maciej Giefing & Oriol Fornes & Naveen Vankadari & Salam A. Assi & Mariantonia Costanza & Marc A. Weniger & Altuna Akalin & Ioannis Anagnostopoulo, 2023. "Transcriptional reprogramming by mutated IRF4 in lymphoma," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    10. Hao Chen & Frederick J. King & Bin Zhou & Yu Wang & Carter J. Canedy & Joel Hayashi & Yang Zhong & Max W. Chang & Lars Pache & Julian L. Wong & Yong Jia & John Joslin & Tao Jiang & Christopher Benner , 2024. "Drug target prediction through deep learning functional representation of gene signatures," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    11. Royce W. Zhou & Jia Xu & Tiphaine C. Martin & Alexis L. Zachem & John He & Sait Ozturk & Deniz Demircioglu & Ankita Bansal & Andrew P. Trotta & Bruno Giotti & Berkley Gryder & Yao Shen & Xuewei Wu & S, 2022. "A local tumor microenvironment acquired super-enhancer induces an oncogenic driver in colorectal carcinoma," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    12. Xiaochu Tong & Ning Qu & Xiangtai Kong & Shengkun Ni & Jingyi Zhou & Kun Wang & Lehan Zhang & Yiming Wen & Jiangshan Shi & Sulin Zhang & Xutong Li & Mingyue Zheng, 2024. "Deep representation learning of chemical-induced transcriptional profile for phenotype-based drug discovery," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    13. Samir Rachid Zaim & Mark-Phillip Pebworth & Imran McGrath & Lauren Okada & Morgan Weiss & Julian Reading & Julie L. Czartoski & Troy R. Torgerson & M. Juliana McElrath & Thomas F. Bumol & Peter J. Ske, 2024. "MOCHA’s advanced statistical modeling of scATAC-seq data enables functional genomic inference in large human cohorts," Nature Communications, Nature, vol. 15(1), pages 1-24, December.
    14. Luigi Mazzeo & Soumitra Ghosh & Emery Di Cicco & Jovan Isma & Daniele Tavernari & Anastasia Samarkina & Paola Ostano & Markus K. Youssef & Christian Simon & G. Paolo Dotto, 2024. "ANKRD1 is a mesenchymal-specific driver of cancer-associated fibroblast activation bridging androgen receptor loss to AP-1 activation," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    15. Pablo Jané & Xiaoying Xu & Vincent Taelman & Eduardo Jané & Karim Gariani & Rebecca A. Dumont & Yonathan Garama & Francisco Kim & María Val Gomez & Martin A. Walter, 2023. "The Imageable Genome," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    16. Lucas A. Mavromatis & Daniel B. Rosoff & Andrew S. Bell & Jeesun Jung & Josephin Wagner & Falk W. Lohoff, 2023. "Multi-omic underpinnings of epigenetic aging and human longevity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03751-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.