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Moreno P, Fexova S, George N, et al. Expression Atlas update: gene and protein expression in multiple species. Nucleic Acids Res. 2022;50:D129-D140doi: 10.1093/nar/gkab1030.
Moreno, P., Fexova, S., George, N., Manning, J. R., Miao, Z., Mohammed, S., Muñoz-Pomer, A., Fullgrabe, A., Bi, Y., Bush, N., Iqbal, H., Kumbham, U., Solovyev, A., Zhao, L., Prakash, A., García-Seisdedos, D., Kundu, D. J., Wang, S., Walzer, M., Clarke, L., Osumi-Sutherland, D., Tello-Ruiz, M. K., Kumari, S., Ware, D., Eliasova, J., Arends, M. J., Nawijn, M. C., Meyer, K., Burdett, T., Marioni, J., Teichmann, S., Vizcaíno, J. A., Brazma, A., & Papatheodorou, I. (2022). Expression Atlas update: gene and protein expression in multiple species. Nucleic acids research, 50D129-D140. https://doi.org/10.1093/nar/gkab1030
Moreno, Pablo, et al. "Expression Atlas update: gene and protein expression in multiple species." Nucleic acids research vol. 50 (2022): D129-D140. doi: https://doi.org/10.1093/nar/gkab1030
Moreno P, Fexova S, George N, Manning JR, Miao Z, Mohammed S, Muñoz-Pomer A, Fullgrabe A, Bi Y, Bush N, Iqbal H, Kumbham U, Solovyev A, Zhao L, Prakash A, García-Seisdedos D, Kundu DJ, Wang S, Walzer M, Clarke L, Osumi-Sutherland D, Tello-Ruiz MK, Kumari S, Ware D, Eliasova J, Arends MJ, Nawijn MC, Meyer K, Burdett T, Marioni J, Teichmann S, Vizcaíno JA, Brazma A, Papatheodorou I. Expression Atlas update: gene and protein expression in multiple species. Nucleic Acids Res. 2022 Jan 07;50:D129-D140. doi: 10.1093/nar/gkab1030. PMID: 34850121; PMCID: PMC8728300.
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Nucleic Acids Res. 2022 Jan 07;50:D129-D140. doi: 10.1093/nar/gkab1030.

Expression Atlas update: gene and protein expression in multiple species.

Nucleic acids research

Pablo Moreno, Silvie Fexova, Nancy George, Jonathan R Manning, Zhichiao Miao, Suhaib Mohammed, Alfonso Muñoz-Pomer, Anja Fullgrabe, Yalan Bi, Natassja Bush, Haider Iqbal, Upendra Kumbham, Andrey Solovyev, Lingyun Zhao, Ananth Prakash, David García-Seisdedos, Deepti J Kundu, Shengbo Wang, Mathias Walzer, Laura Clarke, David Osumi-Sutherland, Marcela Karey Tello-Ruiz, Sunita Kumari, Doreen Ware, Jana Eliasova, Mark J Arends, Martijn C Nawijn, Kerstin Meyer, Tony Burdett, John Marioni, Sarah Teichmann, Juan Antonio Vizcaíno, Alvis Brazma, Irene Papatheodorou

Affiliations

  1. European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Genome Campus, Hinxton, UK.
  2. Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
  3. USDA ARS NEA, Plant Soil & Nutrition Laboratory Research Unit, Ithaca, NY 14853, USA.
  4. Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
  5. Edinburgh Pathology, University of Edinburgh, Institute of Genetics & Cancer, Edinburgh, UK.
  6. Department of Pathology and Medical Biology, GRIAC research institute, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.

PMID: 34850121 PMCID: PMC8728300 DOI: 10.1093/nar/gkab1030

Abstract

The EMBL-EBI Expression Atlas is an added value knowledge base that enables researchers to answer the question of where (tissue, organism part, developmental stage, cell type) and under which conditions (disease, treatment, gender, etc) a gene or protein of interest is expressed. Expression Atlas brings together data from >4500 expression studies from >65 different species, across different conditions and tissues. It makes these data freely available in an easy to visualise form, after expert curation to accurately represent the intended experimental design, re-analysed via standardised pipelines that rely on open-source community developed tools. Each study's metadata are annotated using ontologies. The data are re-analyzed with the aim of reproducing the original conclusions of the underlying experiments. Expression Atlas is currently divided into Bulk Expression Atlas and Single Cell Expression Atlas. Expression Atlas contains data from differential studies (microarray and bulk RNA-Seq) and baseline studies (bulk RNA-Seq and proteomics), whereas Single Cell Expression Atlas is currently dedicated to Single Cell RNA-Sequencing (scRNA-Seq) studies. The resource has been in continuous development since 2009 and it is available at https://www.ebi.ac.uk/gxa.

© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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