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Inflammation

Overview of attention for book
Cover of 'Inflammation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Reproducibility Issues: Avoiding Pitfalls in Animal Inflammation Models
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    Chapter 2 Hapten-Specific T Cell-Mediated Skin Inflammation: Flow Cytometry Analysis of Mouse Skin Inflammatory Infiltrate
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    Chapter 3 Monitoring Skin Dendritic Cells in Steady State and Inflammation by Immunofluorescence Microscopy and Flow Cytometry
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    Chapter 4 Visualization of the T Cell Response in Contact Hypersensitivity
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    Chapter 5 Ultraviolet Radiation-Induced Immunosuppression: Induction of Regulatory T Cells
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    Chapter 6 Surgical Denervation in the Imiquimod-Induced Psoriasiform Mouse Model
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    Chapter 7 Xenotransplantation Model of Psoriasis
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    Chapter 8 A Mouse Model for Atopic Dermatitis Using Topical Application of Vitamin D3 or of Its Analog MC903
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    Chapter 9 Particle Bombardment of Ex Vivo Skin to Deliver DNA and Express Proteins
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    Chapter 10 Murine Models of Allergic Asthma
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    Chapter 11 Subcutaneous and Sublingual Immunotherapy in a Mouse Model of Allergic Asthma
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    Chapter 12 Characterization of Group 2 Innate Lymphoid Cells in Allergic Airway Inflammation Models in the Mouse
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    Chapter 13 Induction and Analysis of Bronchus-Associated Lymphoid Tissue
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    Chapter 14 Messenger RNA Sequencing of Rare Cell Populations in the Lung and Lung-Draining Lymph Nodes
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    Chapter 15 Isolation and Identification of Intestinal Myeloid Cells
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    Chapter 16 Monitoring and Modulation of Inducible Foxp3+ Regulatory T-Cell Differentiation in the Lymph Nodes Draining the Small Intestine and Colon
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    Chapter 17 Isolation and Flow Cytometry Analysis of Innate Lymphoid Cells from the Intestinal Lamina Propria
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    Chapter 18 Analysis of Leukocytes in Oral Mucosal Tissues
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    Chapter 19 Optimized Mouse Models for Liver Fibrosis
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    Chapter 20 Monitoring of Chemically Induced Colitis
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    Chapter 21 Oxazolone-Induced Intestinal Inflammation in Adult Zebrafish
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    Chapter 22 High Dimensional Cytometry of Central Nervous System Leukocytes During Neuroinflammation
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    Chapter 23 Isolation of Microglia and Immune Infiltrates from Mouse and Primate Central Nervous System
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    Chapter 24 Investigating the Lymphatic Drainage of the Brain: Essential Skills and Tools
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    Chapter 25 Quantitative Assessment of Cerebral Basement Membranes Using Electron Microscopy
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    Chapter 26 Microglial Activation by Genetically Targeted Conditional Neuronal Ablation in the Zebrafish
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    Chapter 27 Experimental Arthritis Mouse Models Driven by Adaptive and/or Innate Inflammation
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    Chapter 28 Pain Relief in Nonhuman Primate Models of Arthritis
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    Chapter 29 Isolation and Characterization of Aortic Dendritic Cells and Lymphocytes in Atherosclerosis
  31. Altmetric Badge
    Chapter 30 Assessment of Vascular Dysfunction and Inflammation Induced by Angiotensin II in Mice
  32. Altmetric Badge
    Chapter 31 Erratum to: Isolation and Characterization of Aortic Dendritic Cells and Lymphocytes in Atherosclerosis
Attention for Chapter 14: Messenger RNA Sequencing of Rare Cell Populations in the Lung and Lung-Draining Lymph Nodes
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Chapter title
Messenger RNA Sequencing of Rare Cell Populations in the Lung and Lung-Draining Lymph Nodes
Chapter number 14
Book title
Inflammation
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6786-5_14
Pubmed ID
Book ISBNs
978-1-4939-6784-1, 978-1-4939-6786-5
Authors

Alexander Ulges, Edgar Schmitt, Tobias Bopp, Matthias Klein, Ulges, Alexander, Schmitt, Edgar, Bopp, Tobias, Klein, Matthias

Editors

Björn E. Clausen, Jon D. Laman

Abstract

Next-generation sequencing (NGS) techniques provide unique prospects for in-depth transcriptome analyses. Nevertheless, the emerging and still growing knowledge about the large diversity and heterogeneity of cells that participate in immunological responses in a tissue- and micromilieu-specific manner calls for advanced isolation and sequencing methods for the accurate quantification of gene expression in small cell populations and even individual cells from any organ or tissue. One of the major limitations in performing transcriptome analyses of rare cell populations was and still is quality and quantity of RNA that often limits analyses of complex mixtures of immune cell populations. Here, we describe a protocol to isolate rare T cell populations from the lung and in particular the subsequent methods to isolate high-grade RNA in order to perform NGS-based transcriptome analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 33%
Researcher 1 11%
Professor > Associate Professor 1 11%
Unknown 4 44%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 11%
Agricultural and Biological Sciences 1 11%
Immunology and Microbiology 1 11%
Engineering 1 11%
Unknown 5 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 February 2018.
All research outputs
#14,311,050
of 22,931,367 outputs
Outputs from Methods in molecular biology
#4,205
of 13,127 outputs
Outputs of similar age
#229,678
of 420,713 outputs
Outputs of similar age from Methods in molecular biology
#367
of 1,074 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 64% 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 420,713 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.