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Flower Development

Overview of attention for book
Cover of 'Flower Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Flower Development in Arabidopsis: There Is More to It Than Learning Your ABCs
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    Chapter 2 Flower development in the asterid lineage.
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    Chapter 3 Grass flower development.
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    Chapter 4 Flower diversity and angiosperm diversification.
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    Chapter 5 Flower development: open questions and future directions.
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    Chapter 6 Genetic Screens for Floral Mutants in Arabidopsis thaliana: Enhancers and Suppressors
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    Chapter 7 Genetic and phenotypic analysis of shoot apical and floral meristem development.
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    Chapter 8 Genetic and Phenotypic Analyses of Petal Development in Arabidopsis
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    Chapter 9 Cell Biological Analyses of Anther Morphogenesis and Pollen Viability in Arabidopsis and Rice
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    Chapter 10 Molecular Cell Biology of Male Meiotic Chromosomes and Isolation of Male Meiocytes in Arabidopsis thaliana
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    Chapter 11 Genetic and Phenotypic Analyses of Carpel Development in Arabidopsis
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    Chapter 12 Microscopic Analysis of Arabidopsis Ovules
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    Chapter 13 Scanning Electron Microscopy Analysis of Floral Development
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    Chapter 14 Detection of mRNA Expression Patterns by Nonradioactive In Situ Hybridization on Histological Sections of Floral Tissue
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    Chapter 15 The GUS Reporter System in Flower Development Studies
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    Chapter 16 A Floral Induction System for the Study of Early Arabidopsis Flower Development
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    Chapter 17 Fluorescence activated cell sorting of shoot apical meristem cell types.
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    Chapter 18 Translating Ribosome Affinity Purification (TRAP) for Cell-Specific Translation Profiling in Developing Flowers
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    Chapter 19 Laser-assisted microdissection applied to floral tissues.
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    Chapter 20 Identification of Arabidopsis Knockout Lines for Genes of Interest
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    Chapter 21 Gene Expression Analysis by Quantitative Real-time PCR for Floral Tissues
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    Chapter 22 Misexpression Approaches for the Manipulation of Flower Development
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    Chapter 23 Next-Generation Sequencing Applied to Flower Development: RNA-Seq.
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    Chapter 24 Next-Generation Sequencing Applied to Flower Development: ChIP-Seq
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    Chapter 25 Live-imaging of the Arabidopsis inflorescence meristem.
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    Chapter 26 Gene regulatory network models for floral organ determination.
Attention for Chapter 19: Laser-assisted microdissection applied to floral tissues.
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Chapter title
Laser-assisted microdissection applied to floral tissues.
Chapter number 19
Book title
Flower Development
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4614-9408-9_19
Pubmed ID
Book ISBNs
978-1-4614-9407-2, 978-1-4614-9408-9
Authors

Samuel E Wuest, Ueli Grossniklaus, Samuel E. Wuest, Wuest, Samuel E., Grossniklaus, Ueli

Editors

José Luis Riechmann, Frank Wellmer

Abstract

Cellular context can be crucial when studying developmental processes as well as responses to environmental variation. Several different tools have been developed in recent years to isolate specific tissues or cell types. Laser-assisted microdissection (LAM) allows for the isolation of such specific tissue or single cell-types purely based on morphology and cytology. This has the advantage that (1) cell types that are rare can be isolated from heterogeneous tissue, (2) no marker line with cell type-specific expression needs to be established, and (3) the method can be applied to non-model species and species that are difficult to genetically transform. The rapid development of next-generation sequencing (NGS) approaches has greatly advanced the possibilities to perform molecular analyses in diverse organisms. However, there is a mismatch between currently available cell isolation tools and their applicability to non-model organisms. Therefore, LAM will become increasingly popular in the study of diverse agriculturally or ecologically relevant plant species. Here, we describe a protocol that has been successfully used for LAM to isolate either whole floral organs or even single cell types in plants, e.g., Arabidopsis thaliana, Boechera spp., or tomato.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 5%
Canada 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 5 23%
Other 3 14%
Unspecified 2 9%
Student > Master 1 5%
Other 1 5%
Unknown 4 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 59%
Unspecified 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Design 1 5%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2014.
All research outputs
#18,359,382
of 22,738,543 outputs
Outputs from Methods in molecular biology
#7,856
of 13,087 outputs
Outputs of similar age
#229,335
of 305,211 outputs
Outputs of similar age from Methods in molecular biology
#293
of 594 outputs
Altmetric has tracked 22,738,543 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,087 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 594 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.