Literature DB >> 35237819

Multiparameter in vivo imaging in plants using genetically encoded fluorescent indicator multiplexing.

Rainer Waadt1,2, Jörg Kudla2, Hannes Kollist1.   

Abstract

Biological processes are highly dynamic, and during plant growth, development, and environmental interactions, they occur and influence each other on diverse spatiotemporal scales. Understanding plant physiology on an organismic scale requires analyzing biological processes from various perspectives, down to the cellular and molecular levels. Ideally, such analyses should be conducted on intact and living plant tissues. Fluorescent protein (FP)-based in vivo biosensing using genetically encoded fluorescent indicators (GEFIs) is a state-of-the-art methodology for directly monitoring cellular ion, redox, sugar, hormone, ATP and phosphatidic acid dynamics, and protein kinase activities in plants. The steadily growing number of diverse but technically compatible genetically encoded biosensors, the development of dual-reporting indicators, and recent achievements in plate-reader-based analyses now allow for GEFI multiplexing: the simultaneous recording of multiple GEFIs in a single experiment. This in turn enables in vivo multiparameter analyses: the simultaneous recording of various biological processes in living organisms. Here, we provide an update on currently established direct FP-based biosensors in plants, discuss their functional principles, and highlight important biological findings accomplished by employing various approaches of GEFI-based multiplexing. We also discuss challenges and provide advice for FP-based biosensor analyses in plants. © American Society of Plant Biologists 2021. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Year:  2021        PMID: 35237819      PMCID: PMC8491039          DOI: 10.1093/plphys/kiab399

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.005


  103 in total

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2.  Optogenetic reporters.

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Review 3.  Genetically Encoded Biosensors in Plants: Pathways to Discovery.

Authors:  Ankit Walia; Rainer Waadt; Alexander M Jones
Journal:  Annu Rev Plant Biol       Date:  2018-04-29       Impact factor: 26.379

4.  An expanded palette of genetically encoded Ca²⁺ indicators.

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Journal:  Science       Date:  2011-09-08       Impact factor: 47.728

5.  Expression of pH-sensitive green fluorescent protein in Arabidopsis thaliana.

Authors:  N Moseyko; L J Feldman
Journal:  Plant Cell Environ       Date:  2001-05       Impact factor: 7.228

6.  Multiparameter imaging of calcium and abscisic acid and high-resolution quantitative calcium measurements using R-GECO1-mTurquoise in Arabidopsis.

Authors:  Rainer Waadt; Melanie Krebs; Jörg Kudla; Karin Schumacher
Journal:  New Phytol       Date:  2017-10       Impact factor: 10.151

7.  The HSP terminator of Arabidopsis thaliana increases gene expression in plant cells.

Authors:  Shingo Nagaya; Kazue Kawamura; Atsuhiko Shinmyo; Ko Kato
Journal:  Plant Cell Physiol       Date:  2009-12-29       Impact factor: 4.927

8.  Self-reporting Arabidopsis expressing pH and [Ca2+] indicators unveil ion dynamics in the cytoplasm and in the apoplast under abiotic stress.

Authors:  Dongjie Gao; Marc R Knight; Anthony J Trewavas; Burkhard Sattelmacher; Christoph Plieth
Journal:  Plant Physiol       Date:  2004-03       Impact factor: 8.340

9.  High cleavage efficiency of a 2A peptide derived from porcine teschovirus-1 in human cell lines, zebrafish and mice.

Authors:  Jin Hee Kim; Sang-Rok Lee; Li-Hua Li; Hye-Jeong Park; Jeong-Hoh Park; Kwang Youl Lee; Myeong-Kyu Kim; Boo Ahn Shin; Seok-Yong Choi
Journal:  PLoS One       Date:  2011-04-29       Impact factor: 3.240

10.  Imaging intraorganellar Ca2+ at subcellular resolution using CEPIA.

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  2 in total

Review 1.  Ca2+ signals in plant immunity.

Authors:  Philipp Köster; Thomas A DeFalco; Cyril Zipfel
Journal:  EMBO J       Date:  2022-05-13       Impact factor: 14.012

2.  Bioimaging tools move plant physiology studies forward.

Authors:  An-Shan Hsiao; Ji-Ying Huang
Journal:  Front Plant Sci       Date:  2022-09-20       Impact factor: 6.627

  2 in total

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