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Breast Cancer

Overview of attention for book
Breast Cancer
Springer New York

Table of Contents

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    Book Overview
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    Chapter 1 Basic Histopathological Methods and Breast Lesion Types for Research.
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    Chapter 2 Clinical Applications for Immunohistochemistry of Breast Lesions
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    Chapter 3 Immunohistochemistry for Triple-Negative Breast Cancer.
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    Chapter 4 In Situ Hybridization of Breast Cancer Markers.
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    Chapter 5 Evaluation of Human Epidermal Growth Factor Receptor 2 (HER2) Gene Status in Human Breast Cancer Formalin-Fixed Paraffin-Embedded (FFPE) Tissue Specimens by Fluorescence In Situ Hybridization (FISH).
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    Chapter 6 Quantification of mRNA Levels Using Real-Time Polymerase Chain Reaction (PCR).
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    Chapter 7 Detection of miRNA in Cultured Cells or Xenograft Tissues of Breast Cancer.
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    Chapter 8 Pyrosequencing Analysis for Breast Cancer DNA Methylome.
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    Chapter 9 Vita-Assay™ Method of Enrichment and Identification of Circulating Cancer Cells/Circulating Tumor Cells (CTCs).
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    Chapter 10 Breast Cancer Stem Cell Isolation.
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    Chapter 11 Cellular Apoptosis Assay of Breast Cancer.
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    Chapter 12 Assessment of Matrix Metalloproteinases by Gelatin Zymography.
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    Chapter 13 Assessment of Synthetic Matrix Metalloproteinase Inhibitors by Fluorogenic Substrate Assay
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    Chapter 14 Determination of Breast Cancer Cell Migratory Ability.
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    Chapter 15 A Novel Collagen Dot Assay for Monitoring Cancer Cell Migration
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    Chapter 16 Three-Dimensional Assay for Studying Breast Cancer Cell Invasion.
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    Chapter 17 A Combined Phagocytosis and Fluorescent Substrate Degradation Assay to Simultaneously Assess Cell Migration and Substrate Degradation
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    Chapter 18 Analysis of Invadopodia Formation in Breast Cancer Cells.
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    Chapter 19 Patient-Derived Tumor Xenograft Models of Breast Cancer.
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    Chapter 20 Monitoring Phosphatidic Acid Signaling in Breast Cancer Cells Using Genetically Encoded Biosensors.
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    Chapter 21 3D In Vitro Model for Breast Cancer Research Using Magnetic Levitation and Bioprinting Method
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    Chapter 22 Methods for Analyzing Tumor Angiogenesis in the Chick Chorioallantoic Membrane Model
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    Chapter 23 Pharmacokinetics and Pharmacodynamics in Breast Cancer Animal Models.
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    Chapter 24 Intracellular Delivery of Fluorescently Labeled Polysaccharide Nanoparticles to Cultured Breast Cancer Cells.
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    Chapter 25 Imaging Matrix Metalloproteinase Activity Implicated in Breast Cancer Progression.
Attention for Chapter 20: Monitoring Phosphatidic Acid Signaling in Breast Cancer Cells Using Genetically Encoded Biosensors.
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Chapter title
Monitoring Phosphatidic Acid Signaling in Breast Cancer Cells Using Genetically Encoded Biosensors.
Chapter number 20
Book title
Breast Cancer
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3444-7_20
Pubmed ID
Book ISBNs
978-1-4939-3442-3, 978-1-4939-3444-7
Authors

Lu, Maryia, Tay, Li Wei Rachel, He, Jingquan, Du, Guangwei, Maryia Lu, Li Wei Rachel Tay, Jingquan He, Guangwei Du

Abstract

Phospholipids are important signaling molecules that regulate cell proliferation, death, migration, and metabolism. Many phospholipid signaling cascades are altered in breast cancer. To understand the functions of phospholipid signaling molecules, genetically encoded phospholipid biosensors have been developed to monitor their spatiotemporal dynamics. Compared to other phospholipids, much less is known about the subcellular production and cellular functions of phosphatidic acid (PA), partially due to the lack of a specific and sensitive PA biosensor in the past. This chapter describes the use of a newly developed PA biosensor, PASS, in two applications: regular fluorescent microscopy and fluorescence lifetime imaging microscopy-Förster/fluorescence resonance energy transfer (FLIM-FRET). These protocols can be also used with other phospholipid biosensors.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Researcher 4 21%
Student > Bachelor 2 11%
Student > Master 2 11%
Professor 1 5%
Other 1 5%
Unknown 3 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 32%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Agricultural and Biological Sciences 2 11%
Engineering 2 11%
Immunology and Microbiology 1 5%
Other 2 11%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 February 2016.
All research outputs
#13,221,334
of 22,842,950 outputs
Outputs from Methods in molecular biology
#3,465
of 13,127 outputs
Outputs of similar age
#184,634
of 393,571 outputs
Outputs of similar age from Methods in molecular biology
#328
of 1,470 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,127 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,571 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 1,470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.