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Flower Development

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Cover of 'Flower Development'

Table of Contents

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    Book Overview
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    Chapter 1 Flower Development in Arabidopsis
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    Chapter 2 Flower Development in the Solanaceae
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    Chapter 3 The ABC of Flower Development in Monocots: The Model of Rice Spikelet
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    Chapter 4 Model Species to Investigate the Origin of Flowers
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    Chapter 5 Hormones and Flower Development in Arabidopsis
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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 Cell Biological Analyses of Anther Morphogenesis and Pollen Viability in Arabidopsis and Rice
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    Chapter 9 Isolation of Meiocytes and Cytological Analyses of Male Meiotic Chromosomes in Soybean, Lettuce, and Maize.
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    Chapter 10 Genetic and Phenotypic Analyses of Carpel Development in Arabidopsis
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    Chapter 11 Genetic and Phenotypic Analysis of Ovule Development in Arabidopsis
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    Chapter 12 Floral Induction Systems for the Study of Arabidopsis Flower Development
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    Chapter 13 Protoplasting and Fluorescence-Activated Cell Sorting of the Shoot Apical Meristem Cell Types
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    Chapter 14 Protoplast Isolation for Plant Single-Cell RNA-seq
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    Chapter 15 Plant Nuclei Isolation for Single-Nucleus RNA Sequencing
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    Chapter 16 Isolation of Nuclei Tagged in Specific Cell Types (INTACT) in Arabidopsis
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    Chapter 17 RNA In Situ Hybridization on Plant Tissue Sections: Expression Analysis at Cellular Resolution
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    Chapter 18 The GUS Reporter System in Flower Development Studies
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    Chapter 19 Expression and Functional Studies of Leaf, Floral, and Fruit Developmental Genes in Non-model Species.
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    Chapter 20 Gene Expression Analysis by Quantitative Real-Time PCR for Floral Tissues
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    Chapter 21 Misexpression Approaches for the Manipulation of Flower Development
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    Chapter 22 Genomic Approaches for the Study of Flower Development in Floriculture Crops
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    Chapter 23 Multi-Omics Methods Applied to Flower Development
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    Chapter 24 Peptidomics Methods Applied to the Study of Flower Development.
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    Chapter 25 Quantifying Gene Expression Domains in Plant Shoot Apical Meristems
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    Chapter 26 A NanoLuc-Based Transactivation Assay in Plants
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    Chapter 27 A Hands-On Guide to Generate Spatial Gene Expression Profiles by Integrating scRNA-seq and 3D-Reconstructed Microscope-Based Plant Structures
Attention for Chapter 24: Peptidomics Methods Applied to the Study of Flower Development.
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Chapter title
Peptidomics Methods Applied to the Study of Flower Development.
Chapter number 24
Book title
Flower Development
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3299-4_24
Pubmed ID
Book ISBNs
978-1-07-163298-7, 978-1-07-163299-4
Authors

Álvarez-Urdiola, Raquel, Borràs, Eva, Valverde, Federico, Matus, José Tomás, Sabidó, Eduard, Riechmann, José Luis

Abstract

Understanding the global and dynamic nature of plant developmental processes requires not only the study of the transcriptome, but also of the proteome, including its largely uncharacterized peptidome fraction. Recent advances in proteomics and high-throughput analyses of translating RNAs (ribosome profiling) have begun to address this issue, evidencing the existence of novel, uncharacterized, and possibly functional peptides. To validate the accumulation in tissues of sORF-encoded polypeptides (SEPs), the basic setup of proteomic analyses (i.e., LC-MS/MS) can be followed. However, the detection of peptides that are small (up to ~100 aa, 6-7 kDa) and novel (i.e., not annotated in reference databases) presents specific challenges that need to be addressed both experimentally and with computational biology resources. Several methods have been developed in recent years to isolate and identify peptides from plant tissues. In this chapter, we outline two different peptide extraction protocols and the subsequent peptide identification by mass spectrometry using the database search or the de novo identification methods.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
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 04 August 2023.
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#21,694,116
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Outputs from Methods in molecular biology
#10,432
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#373,105
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Outputs of similar age from Methods in molecular biology
#505
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