TY - JOUR
T1 - First Plant Cell Atlas symposium report
AU - The Plant Cell Atlas Consortium
AU - Rice, Selena L.
AU - Lazarus, Elena
AU - Anderton, Christopher
AU - Birnbaum, Kenneth
AU - Brophy, Jennifer
AU - Cole, Benjamin
AU - Dickel, Diane
AU - Ehrhardt, David
AU - Fahlgren, Noah
AU - Frank, Margaret
AU - Haswell, Elizabeth
AU - Huang, Shao shan Carol
AU - Leiboff, Samuel
AU - Libault, Marc
AU - Otegui, Marisa S.
AU - Provart, Nicholas
AU - Uhrig, R. Glen
AU - Rhee, Seung Y.
N1 - Funding Information:
This workshop and report were supported by the US National Science Foundation grant numbers MCB-1916797 and MCB-2052590, and Carnegie Institution for Science. We thank Julie Gosse at Science Editors Network for drafting the report. We are grateful to all the speakers (Amir H. Ahkami, Vimal Kumar Balasubramanian, Margot Bezrutczyk, Federica Brandizzi, Maite Colinas, Kevin Cox, Jr, Camilla Ferrari, Nancy George, Stefania Giacomello, Bruno Guillotin, Yvon Jaillais, Constance Le Gloanec, Mathew G. Lewsey, Marc Libault, Hilde Nelissen, Lachezar Nikolov, Gergo Palfalvi, Irene Papatheodorou, Michael Taylor, and Xiaosa Xu), poster presenters (Bradley Abramson, Arif Ashraf, Alex Borowsky, Jaishri Rubina Das, Sterling Field, Apoorva Gupta, Song Li, Zhongpeng Li, Irene Martinez-Fernandez, Devang Mehta, Kari Miller, Trevor Nolan, Sofia Otero, Miroslav Ovečka, Karen Serrano, Rachel Shahan, Shyam Solanki, Chao Su, Chong Teng, Kaltra Xhelilaj, Natalie Young, Argyris Zardilis, Jie Zhu, Nathan Zivi, and Mahdis Zolfaghar), and moderators (Christopher Anderton, Alex Borowsky, Benjamin Cole, Carol Huang, Kaisa Kajala, Sam Leiboff, Marc Libault, Gergo Palfalvi, Rachel Shahan, and Shouling Xu) of the workshop, and Garret Huntress, Maria Lopez, and Shaun Beavan for the technical and IT support.
Funding Information:
This workshop and report were supported by the US National Science Foundation grant numbers MCB‐1916797 and MCB‐2052590, and Carnegie Institution for Science. We thank Julie Gosse at Science Editors Network for drafting the report. We are grateful to all the (Amir H. Ahkami, Vimal Kumar Balasubramanian, Margot Bezrutczyk, Federica Brandizzi, Maite Colinas, Kevin Cox, Jr, Camilla Ferrari, Nancy George, Stefania Giacomello, Bruno Guillotin, Yvon Jaillais, Constance Le Gloanec, Mathew G. Lewsey, Marc Libault, Hilde Nelissen, Lachezar Nikolov, Gergo Palfalvi, Irene Papatheodorou, Michael Taylor, and Xiaosa Xu), (Bradley Abramson, Arif Ashraf, Alex Borowsky, Jaishri Rubina Das, Sterling Field, Apoorva Gupta, Song Li, Zhongpeng Li, Irene Martinez‐Fernandez, Devang Mehta, Kari Miller, Trevor Nolan, Sofia Otero, Miroslav Ovečka, Karen Serrano, Rachel Shahan, Shyam Solanki, Chao Su, Chong Teng, Kaltra Xhelilaj, Natalie Young, Argyris Zardilis, Jie Zhu, Nathan Zivi, and Mahdis Zolfaghar), and (Christopher Anderton, Alex Borowsky, Benjamin Cole, Carol Huang, Kaisa Kajala, Sam Leiboff, Marc Libault, Gergo Palfalvi, Rachel Shahan, and Shouling Xu) of the workshop, and Garret Huntress, Maria Lopez, and Shaun Beavan for the technical and IT support. speakers poster presenters moderators
Publisher Copyright:
© 2022 The Authors. Plant Direct published by American Society of Plant Biologists and the Society for Experimental Biology and John Wiley & Sons Ltd.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - data science
KW - live imaging
KW - plant cell atlas
KW - proteomics
KW - single-cell sequencing
KW - spatial transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85134051304&partnerID=8YFLogxK
U2 - 10.1002/pld3.406
DO - 10.1002/pld3.406
M3 - Article
C2 - 35774620
AN - SCOPUS:85134051304
SN - 2475-4455
VL - 6
JO - Plant Direct
JF - Plant Direct
IS - 6
M1 - e406
ER -