First plant cell atlas workshop report

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dc.contributor.authorRice, Selenaen
dc.contributor.authorFryer, Emilyen
dc.contributor.authorJha, Suryatapa Ghoshen
dc.contributor.authorMalkovskiy, Andreyen
dc.contributor.authorMeyer, Heatheren
dc.contributor.authorThomas, Jasonen
dc.contributor.authorWeizbauer, Reneeen
dc.contributor.authorZhao, Kangmeien
dc.contributor.authorBirnbaum, Kenneth D.en
dc.contributor.authorEhrhardt, David W.en
dc.contributor.authorWang, Zhiyongen
dc.contributor.authorRhee, Seung Y.en
dc.contributor.departmentBiological Systems Engineeringen
dc.date.accessioned2021-05-20T17:42:48Zen
dc.date.available2021-05-20T17:42:48Zen
dc.date.issued2020-10-01en
dc.date.updated2021-05-20T17:42:43Zen
dc.description.abstractThe societal challenges posed by a growing human population and climate change necessitate technical advances in plant science. Plant research makes vital contributions to society by advancing technologies that improve agricultural food production, biological energy capture and conversion, and human health. However, the plant biology community lacks a comprehensive understanding of molecular machinery, including their locations within cells, distributions and variations among different cell types, and real-time dynamics. Fortunately, rapid advances in molecular methods, imaging, proteomics, and metabolomics made in the last decade afford unprecedented opportunities to develop a molecular-level map of plant cells with high temporal and spatial resolution. The Plant Cell Atlas (PCA) initiative aims to generate a resource that will provide fresh insight into poorly understood aspects of plant cell structure and organization and enable the discovery of new cellular compartments and features. The PCA will be a community resource (www.plantcellatlas.org/) that describes the state of various plant cell types and integrates high-resolution spatio-temporal information of nucleic acids, proteins, and metabolites within plant cells. This first PCA initiative workshop convened scientists passionate about developing a comprehensive PCA to brainstorm about the state of the field, recent advances, the development of tools, and the future directions of this initiative. The workshop featured invited talks to share initial data, along with broader ideas for the PCA. Additionally, breakout sessions were organized around topics including the conceptual goals of the PCA, technical challenges, and community wants and needs. These activities connected scientists with diverse expertise and sparked important discussions about how to leverage and extend leading-edge technologies and develop new techniques. A major outcome of the workshop was that the community wishes to redefine concepts of plant cell types and tissues quantitatively. A long-term goal is to delineate all molecules within the cell at high spatio-temporal resolution, obtain information about interacting molecular networks, and identify the contribution of these networks to development of the organism as a whole. As a first step, we wish to create comprehensive cellular and subcellular biomolecular maps of transcripts, proteins, and metabolites, track the dynamic interactions of these molecules intra- and intercellularly, discern complete states and transitions of specialized cell types, and integrate these disparate data points to generate testable models of cellular function. Ultimately, the PCA initiative will have a substantial positive impact by empowering a broad, diverse group of scientists to forge exciting paths in the field of plant science, facilitating connections with interested stakeholders beyond the scientific community, and enabling new agricultural technologies for a sustainable future.en
dc.description.versionPublished (Publication status)en
dc.format.extent10 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifierARTN e00271 (Article number)en
dc.identifier.doihttps://doi.org/10.1002/pld3.271en
dc.identifier.eissn2475-4455en
dc.identifier.issn2475-4455en
dc.identifier.issue10en
dc.identifier.orcidWright, Robert [0000-0001-7125-3943]en
dc.identifier.otherPLD3271 (PII)en
dc.identifier.pmid33083684 (pubmed)en
dc.identifier.urihttp://hdl.handle.net/10919/103403en
dc.identifier.volume4en
dc.language.isoenen
dc.publisherWileyen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectLife Sciences & Biomedicineen
dc.subjectPlant Sciencesen
dc.subjectdata scienceen
dc.subjectlive imagingen
dc.subjectnanotechnologyen
dc.subjectplant cell atlasen
dc.subjectproteomicsen
dc.subjectsingle-cell sequencingen
dc.subjectPlant Cell Atlas Consortiumen
dc.subjectsingleā€cell sequencingen
dc.titleFirst plant cell atlas workshop reporten
dc.title.serialPlant Directen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
dc.type.otherJournalen
dcterms.dateAccepted2020-08-27en
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/Biological Systems Engineeringen
pubs.organisational-group/Virginia Tech/Agriculture & Life Sciences/CALS T&R Facultyen
pubs.organisational-group/Virginia Techen

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