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Vision, challenges and opportunities for a Plant Cell Atlas

by Obata, Toshihiro , Evans, Matthew MS , Solanki, Shyam , Denolf, Peter , Joubert, Lydia-Marie , Wang, Zhiyong , Whelan, James , Macaulay, Iain C , Arteaga-Vazquez, Mario A , Otegui, Marisa S , Jha, Suryatapa Ghosh , Uhrig, R Glen , Cruz-Ramirez, Alfredo , Paul, Puneet , Shahan, Rachel , Denolf, Peter H , Kumar, Pradeep , Romera-Branchat, Maida , Rhee, Seung Y , Yu, Houlin , Brumos, Javier , McWhite, Claire D , Palma, José M , Xiang, Tingting , Walley, Justin W , Huang, Shao-shan Carol , Handakumbura, Pubudu P , Anderton, Christopher R , Tran, Tuan M , Kumar, Arun , Joshi, Sanjay , Sah, Saroj K , Ahmed, Jahed , Malkovskiy, Andrey V , Cole, Benjamin J , My Luong, Ai , Birnbaum, Kenneth D , Tello-Ruiz, Marcela K , CORPAS, Francisco J , Kaufmann, Kerstin , Raju, Sunil K Kenchanmane , Nobori, Tatsuya , Harrison, Maria J , Martín, Miguel Miñambres , Cervantes-Pérez, Sergio Alan , Saura-Sanchez, Maite , Chen, Sixue , Bartley, Laura E , Sozzani, Rosangela , Kumar, Sagar , Tripathi, Rajiv Kumar , David, Lisa I , Farmer, Andrew , Stepanova, Anna N , Zhuang, Xiaohong , Vadde, Batthula Vijaya Lakshmi Vadde , de Folter, Stefan , Lewsey, Mathew G , Yuan, Hai Ying , Blanco-T

in 4D imaging / Agriculture / Cell Biology / Chlamydomonas reinhardtii / Chloroplasts / Computational Biology / Data analysis / Environmental engineering / Enzymes / Gene expression / Genomics / Image Processing, Computer-Assisted / Localization / location-to-function / Metabolites / Plant Cell Atlas / Plant Cells - physiology / Plant Development / Plants - classification / Plants - genetics / Proteins / Science Forum / Scientists / Signal transduction / single-cell omics / Success / Transcription factors / translational research / Workshops / Zea mays

2021

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2021

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2021

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Journal Article

Vision, challenges and opportunities for a Plant Cell Atlas

Obata, Toshihiro,

Evans, Matthew MS,

Solanki, Shyam,

Denolf, Peter,

Joubert, Lydia-Marie,

Wang, Zhiyong,

Whelan, James,

Macaulay, Iain C,

Arteaga-Vazquez, Mario A,

Otegui, Marisa S,

Jha, Suryatapa Ghosh,

Uhrig, R Glen,

Cruz-Ramirez, Alfredo,

Paul, Puneet,

Shahan, Rachel,

Denolf, Peter H,

Kumar, Pradeep,

Romera-Branchat, Maida,

Rhee, Seung Y,

Yu, Houlin,

Brumos, Javier,

McWhite, Claire D,

Palma, José M,

Xiang, Tingting,

Walley, Justin W,

Huang, Shao-shan Carol,

Handakumbura, Pubudu P,

Anderton, Christopher R,

Tran, Tuan M,

Kumar, Arun,

Joshi, Sanjay,

Sah, Saroj K,

Ahmed, Jahed,

Malkovskiy, Andrey V,

Cole, Benjamin J,

My Luong, Ai,

Birnbaum, Kenneth D,

Tello-Ruiz, Marcela K,

CORPAS, Francisco J,

Kaufmann, Kerstin,

Raju, Sunil K Kenchanmane,

Nobori, Tatsuya,

Harrison, Maria J,

Martín, Miguel Miñambres,

Cervantes-Pérez, Sergio Alan,

Saura-Sanchez, Maite,

Chen, Sixue,

Bartley, Laura E,

Sozzani, Rosangela,

Kumar, Sagar,

Tripathi, Rajiv Kumar,

David, Lisa I,

Farmer, Andrew,

Stepanova, Anna N,

Zhuang, Xiaohong,

Vadde, Batthula Vijaya Lakshmi Vadde,

de Folter, Stefan,

Lewsey, Mathew G,

Yuan, Hai Ying,

Blanco-T

2021

Overview

With growing populations and pressing environmental problems, future economies will be increasingly plant-based. Now is the time to reimagine plant science as a critical component of fundamental science, agriculture, environmental stewardship, energy, technology and healthcare. This effort requires a conceptual and technological framework to identify and map all cell types, and to comprehensively annotate the localization and organization of molecules at cellular and tissue levels. This framework, called the Plant Cell Atlas (PCA), will be critical for understanding and engineering plant development, physiology and environmental responses. A workshop was convened to discuss the purpose and utility of such an initiative, resulting in a roadmap that acknowledges the current knowledge gaps and technical challenges, and underscores how the PCA initiative can help to overcome them.

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Publisher

eLife Science Publications, Ltd,eLife Sciences Publications Ltd,eLife Sciences Publications, Ltd

Subject

4D imaging

/ Agriculture

/ Cell Biology

/ Chlamydomonas reinhardtii

/ Chloroplasts

/ Computational Biology

/ Data analysis