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Laser Capture Microdissection

Overview of attention for book
Cover of 'Laser Capture Microdissection'

Table of Contents

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    Book Overview
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    Chapter 1 Laser Capture Microdissection: Insights into Methods and Applications
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    Chapter 2 Laser Microdissection-Based Microproteomics of Formalin-Fixed and Paraffin-Embedded (FFPE) Tissues
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    Chapter 3 Laser Microdissection Workflow for Isolating Nucleic Acids from Fixed and Frozen Tissue Samples
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    Chapter 4 Protocol for the Analysis of Laser Capture Microdissected Fresh-Frozen Tissue Homogenates by Silver-Stained 1D SDS-PAGE
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    Chapter 5 Next-Generation Sequencing Analysis of Laser-Microdissected Formalin-Fixed and Paraffin-Embedded (FFPE) Tissue Specimens
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    Chapter 6 Adaptation of Laser Microdissection Technique to Nanostring RNA Analysis in the Study of a Spontaneous Metastatic Mammary Carcinoma Mouse Model
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    Chapter 7 Laser Capture Microdissection as a Tool to Study the Mucosal Immune Response in Celiac Disease
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    Chapter 8 Laser Capture Microdissection and Isolation of High-Quality RNA from Frozen Endometrial Tissue
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    Chapter 9 Laser Microdissection for Human Papillomavirus (HPV) Genotyping Attribution and Methylation Pattern Analyses of Squamous Intraepithelial Lesions
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    Chapter 10 Laser Capture Microdissection and Transcriptional Analysis of Sub-Populations of the Osteoblast Lineage from Undecalcified Bone
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    Chapter 11 Cell Type-Specific Laser Capture Microdissection for Gene Expression Profiling in the Human Brain
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    Chapter 12 The Isolation of Pure Populations of Neurons by Laser Capture Microdissection: Methods and Application in Neuroscience
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    Chapter 13 Laser Capture Microdissection in Traumatic Brain Injury Research: Obtaining Hippocampal Subregions and Pools of Injured Neurons for Genomic Analyses
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    Chapter 14 Isolation of Distinct Types of Neurons from Fresh Brain Tissue Using Laser Microdissection in Combination with High-Performance Liquid Chromatography—Mass Spectrometry
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    Chapter 15 Immuno-Guided Laser-Capture Microdissection of Glial Cells for mRNA Analysis
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    Chapter 16 Immuno-Laser-Capture Microdissection for the Isolation of Enriched Glial Populations from Frozen Post-Mortem Human Brain
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    Chapter 17 Laser-Capture Microdissection for the Analysis of Rat and Human Spinal Cord Ependyma by qPCR
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    Chapter 18 Isolation of Amyloid Plaques and Neurofibrillary Tangles from Archived Alzheimer’s Disease Tissue Using Laser-Capture Microdissection for Downstream Proteomics
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    Chapter 19 Cell-Specific RNA Quantification in Human SN DA Neurons from Heterogeneous Post-mortem Midbrain Samples by UV-Laser Microdissection and RT-qPCR
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    Chapter 20 Laser-Capture Microdissection for Layer-Specific Analysis of Enteric Ganglia
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    Chapter 21 A Laser Microdissection–Liquid Chromatography–Tandem Mass Spectrometry Workflow for Post-mortem Analysis of Brain Tissue
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    Chapter 22 Laser-Capture Microdissection and RNA Extraction from Perfusion-Fixed Cartilage and Bone Tissue from Mice Implanted with Human iPSC-Derived MSCs in a Calvarial Defect Model
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    Chapter 23 Laser Capture Microdissection-Based RNA-Seq of Barley Grain Tissues
Attention for Chapter 22: Laser-Capture Microdissection and RNA Extraction from Perfusion-Fixed Cartilage and Bone Tissue from Mice Implanted with Human iPSC-Derived MSCs in a Calvarial Defect Model
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Chapter title
Laser-Capture Microdissection and RNA Extraction from Perfusion-Fixed Cartilage and Bone Tissue from Mice Implanted with Human iPSC-Derived MSCs in a Calvarial Defect Model
Chapter number 22
Book title
Laser Capture Microdissection
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7558-7_22
Pubmed ID
29344873
Book ISBNs
978-1-4939-7557-0, 978-1-4939-7558-7
Authors

Xiaonan Xin, Xi Jiang, Alexander Lichtler, Mark Kronenberg, David Rowe, Joel S. Pachter, Xin, Xiaonan, Jiang, Xi, Lichtler, Alexander, Kronenberg, Mark, Rowe, David, Pachter, Joel S.

Abstract

Laser-capture microdissection (LCM) coupled to downstream RNA analysis poses unique difficulties for the evaluation of mineralized tissues. A rapid protocol was thus developed to enable sufficient integrity of bone and cartilage tissue for reliable sectioning, while minimizing RNA loss associated with prolonged decalcification and purification steps. Specifically, the protocol involves pump-assisted, cardiac perfusion-fixation with paraformaldehyde, and moderate digestion of LCM-acquired tissue with proteinase K followed by DNase treatment and separation of RNA using magnetic beads. Reverse transcription and cDNA synthesis are performed immediately after RNA purification, without need for further protein removal.

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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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 43%
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Medicine and Dentistry 2 29%
Unspecified 1 14%
Unknown 1 14%
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 17 January 2019.
All research outputs
#15,506,823
of 23,045,021 outputs
Outputs from Methods in molecular biology
#5,403
of 13,194 outputs
Outputs of similar age
#269,883
of 442,426 outputs
Outputs of similar age from Methods in molecular biology
#597
of 1,499 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,194 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 442,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.

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