First Plant Cell Atlas symposium report.

data science live imaging plant cell atlas proteomics single‐cell sequencing spatial transcriptomics

Journal

Plant direct
ISSN: 2475-4455
Titre abrégé: Plant Direct
Pays: England
ID NLM: 101716131

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 09 02 2022
revised: 16 05 2022
accepted: 18 05 2022
entrez: 1 7 2022
pubmed: 2 7 2022
medline: 2 7 2022
Statut: epublish

Résumé

The Plant Cell Atlas (PCA) community hosted a virtual symposium on December 9 and 10, 2021 on single cell and spatial omics technologies. The conference gathered almost 500 academic, industry, and government leaders to identify the needs and directions of the PCA community and to explore how establishing a data synthesis center would address these needs and accelerate progress. This report details the presentations and discussions focused on the possibility of a data synthesis center for a PCA and the expected impacts of such a center on advancing science and technology globally. Community discussions focused on topics such as data analysis tools and annotation standards; computational expertise and cyber-infrastructure; modes of community organization and engagement; methods for ensuring a broad reach in the PCA community; recruitment, training, and nurturing of new talent; and the overall impact of the PCA initiative. These targeted discussions facilitated dialogue among the participants to gauge whether PCA might be a vehicle for formulating a data synthesis center. The conversations also explored how online tools can be leveraged to help broaden the reach of the PCA (i.e., online contests, virtual networking, and social media stakeholder engagement) and decrease costs of conducting research (e.g., virtual REU opportunities). Major recommendations for the future of the PCA included establishing standards, creating dashboards for easy and intuitive access to data, and engaging with a broad community of stakeholders. The discussions also identified the following as being essential to the PCA's success: identifying homologous cell-type markers and their biocuration, publishing datasets and computational pipelines, utilizing online tools for communication (such as Slack), and user-friendly data visualization and data sharing. In conclusion, the development of a data synthesis center will help the PCA community achieve these goals by providing a centralized repository for existing and new data, a platform for sharing tools, and new analytical approaches through collaborative, multidisciplinary efforts. A data synthesis center will help the PCA reach milestones, such as community-supported data evaluation metrics, accelerating plant research necessary for human and environmental health.

Identifiants

pubmed: 35774620
doi: 10.1002/pld3.406
pii: PLD3406
pmc: PMC9219010
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e406

Informations de copyright

© 2022 The Authors. Plant Direct published by American Society of Plant Biologists and the Society for Experimental Biology and John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

The Authors did not report any conflict of interest.

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Auteurs

Selena L Rice (SL)

Department of Plant Biology Carnegie Institution for Science Stanford California USA.

Elena Lazarus (E)

Department of Plant Biology Carnegie Institution for Science Stanford California USA.

Christopher Anderton (C)

Environmental Molecular Sciences Division Pacific Northwest National Laboratory Richland Washington USA.

Kenneth Birnbaum (K)

Center for Genomics and Systems Biology New York University New York New York USA.

Jennifer Brophy (J)

Department of Bioengineering Stanford University Stanford California USA.

Benjamin Cole (B)

Lawrence Berkeley National Laboratory Berkeley California USA.

Diane Dickel (D)

Octant Emeryville California USA.

David Ehrhardt (D)

Department of Plant Biology Carnegie Institution for Science Stanford California USA.

Noah Fahlgren (N)

Donald Danforth Plant Science Center St. Louis Missouri USA.

Margaret Frank (M)

Department of Plant Biology Cornell University Ithaca New York USA.

Elizabeth Haswell (E)

Department of Biology Washington University in St. Louis St. Louis Missouri USA.

Shao-Shan Carol Huang (SC)

Center for Genomics and Systems Biology New York University New York New York USA.

Samuel Leiboff (S)

Department of Botany and Plant Pathology Oregon State University Corvallis Oregon USA.

Marc Libault (M)

Department of Agronomy and Horticulture University of Nebraska-Lincoln Lincoln Nebraska USA.

Marisa S Otegui (MS)

Department of Botany University of Wisconsin-Madison Madison Wisconsin USA.

Nicholas Provart (N)

Department of Cell and Systems Biology/Centre for the Analysis of Genome Evolution and Function University of Toronto Toronto Ontario Canada.

R Glen Uhrig (RG)

Department of Science University of Alberta Edmonton Alberta Canada.

Seung Y Rhee (SY)

Department of Plant Biology Carnegie Institution for Science Stanford California USA.

Classifications MeSH