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Notch Signaling Research

Overview of attention for book
Cover of 'Notch Signaling Research'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Using the CRISPR/Cas9 System for Dissection of Functional Sites of the Notch Gene in Drosophila melanogaster
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    Chapter 2 Screening Mutants by Single Fly Genomic PCR
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    Chapter 3 Generation of Properly Folded Epidermal Growth Factor-Like (EGF) Repeats and Glycosyltransferases Enables In Vitro O-Glycosylation
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    Chapter 4 Use of FLP/FRT System to Screen for Notch Signaling Regulators in the Drosophila Wing
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    Chapter 5 High-Throughput Analysis to Identify Activators of Notch Signaling
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    Chapter 6 Artificial Notch Signaling Activation Method Using Immobilized Ligand Beads
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    Chapter 7 Mammalian NOTCH Receptor Activation and Signaling Protocols
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    Chapter 8 Somatic Clonal Analyses Using FLP/FRT and MARCM System to Understand Notch Signaling Mechanism and Its Regulation
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    Chapter 9 Analyzing the Interaction of RBPJ with Mitotic Chromatin and Its Impact on Transcription Reactivation upon Mitotic Exit
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    Chapter 10 Assessing the Roles of Potential Notch Signaling Components in Instructive and Permissive Pathways with Two Drosophila Pericardial Reporters
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    Chapter 11 Image-Based Single-Molecule Analysis of Notch-Dependent Transcription in Its Natural Context
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    Chapter 12 An Automatic Stage Identification MATLAB Tool to Reveal Notch Expression Pattern in Drosophila Egg Chambers
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    Chapter 13 Employing the CRISPR Technology for Studying Notch Signaling in the Male Gonad of Drosophila melanogaster
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    Chapter 14 Immunolocalization of Notch Signaling in Mouse Preimplantation Embryos
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    Chapter 15 Studying the NOTCH Signaling Pathway Activation in Kidney Biopsies
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    Chapter 16 Exosomes as Carriers for Notch Molecules
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    Chapter 17 In Vivo and Ex Vivo Experimental Approach for Studying Functional Role of Notch in Pulmonary Vascular Disease
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    Chapter 18 Metastasis Model to Test the Role of Notch Signaling in Prostate Cancer
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    Chapter 19 Functional Studies of Genetic Variants Associated with Human Diseases in Notch Signaling-Related Genes Using Drosophila
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    Chapter 20 Bioinformatics Tools to Understand Notch
Attention for Chapter 11: Image-Based Single-Molecule Analysis of Notch-Dependent Transcription in Its Natural Context
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Chapter title
Image-Based Single-Molecule Analysis of Notch-Dependent Transcription in Its Natural Context
Chapter number 11
Book title
Notch Signaling Research
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-2201-8_11
Pubmed ID
35674897
Book ISBNs
978-1-07-162200-1, 978-1-07-162201-8
Authors

Lee, ChangHwan, Lynch, Tina, Crittenden, Sarah L, Kimble, Judith, Crittenden, Sarah L.

Abstract

Notch signaling is crucial to animal development and homeostasis. Notch triggers the transcription of its target genes, which produce diverse outcomes depending on context. The high resolution and spatially precise assessment of Notch-dependent transcription is essential for understanding how Notch operates normally in its native context in vivo and how Notch defects lead to pathogenesis. Here we present biological and computational methods to assess Notch-dependent transcriptional activation in stem cells within their niche, focusing on germline stem cells in the nematode Caenorhabditis elegans. Specifically, we describe visualization of single RNAs in fixed gonads using single-molecule RNA fluorescence in situ hybridization (smFISH), live imaging of transcriptional bursting in the intact organism using the MS2 system, and custom-made MATLAB codes, implementing new image processing algorithms to capture the spatiotemporal patterns of Notch-dependent transcriptional activation. These methods allow a powerful analysis of in vivo transcriptional activation and its dynamics in a whole tissue. Our methods can be adapted to essentially any tissue or cell type for any transcript.

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 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 09 June 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Methods in molecular biology
#8,086
of 13,318 outputs
Outputs of similar age
#364,673
of 507,944 outputs
Outputs of similar age from Methods in molecular biology
#326
of 594 outputs
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So far Altmetric has tracked 13,318 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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