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T follicular Helper Cells

Overview of attention for book
Cover of 'T follicular Helper Cells'

Table of Contents

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    Book Overview
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    Chapter 1 Identification of mouse T follicular helper cells by flow cytometry.
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    Chapter 2 Identification of follicular T helper cells in tissue sections.
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    Chapter 3 Tracking early T follicular helper cell differentiation in vivo.
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    Chapter 4 Tracking by Flow Cytometry Antigen-Specific Follicular Helper T Cells in Wild-Type Animals After Protein Vaccination
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    Chapter 5 Retroviral Vector Expression in TCR Transgenic CD4(+) T Cells.
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    Chapter 6 Two-photon microscopy for imaging germinal centers and T follicular helper cells.
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    Chapter 7 In Vivo Induction of T-Follicular Helper Cells by Modulation of Regulatory T Cell Function
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    Chapter 8 Assessing T Follicular Helper Cell Function In Vivo: Antigen-Specific B Cell Response to Hapten and Affinity Maturation
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    Chapter 9 The SWHEL System for High-Resolution Analysis of In Vivo Antigen-Specific T-Dependent B Cell Responses
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    Chapter 10 Triggering Positive Selection of Germinal Center B Cells by Antigen Targeting to DEC-205
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    Chapter 11 Detection of Mouse Natural Killer T Follicular Helper (NKTFH) Cells by Flow Cytometry.
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    Chapter 12 Identification of Foxp3+ T Follicular Regulatory (Tfr) Cells by Flow Cytometry
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    Chapter 13 In Vitro Assay to Sensitively Measure TFR Suppressive Capacity and TFH Stimulation of B Cell Responses.
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    Chapter 14 Flow Cytometric Detection and Isolation of Human Tonsil or Lymph Node T Follicular Helper Cells
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    Chapter 15 Human tfh and tfr cells: identification and assessment of their migration potential.
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    Chapter 16 Analysis of human blood memory T follicular helper subsets.
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    Chapter 17 Flow Cytometric Analysis of Circulating Follicular Helper T (Tfh) and Follicular Regulatory T (Tfr) Populations in Human Blood
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    Chapter 18 Quantifying Helper Cell Function of Human TFH Cells In Vitro.
Attention for Chapter 5: Retroviral Vector Expression in TCR Transgenic CD4(+) T Cells.
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Chapter title
Retroviral Vector Expression in TCR Transgenic CD4(+) T Cells.
Chapter number 5
Book title
T follicular Helper Cells
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2498-1_5
Pubmed ID
Book ISBNs
978-1-4939-2497-4, 978-1-4939-2498-1
Authors

Choi, Youn Soo, Crotty, Shane, Youn Soo Choi, Shane Crotty

Editors

Marion Espéli, Michelle Linterman

Abstract

The regulation of gene expression is key to understand the function of genes of interest. To explore the biological functions of genes, transgenic knock-in or knockout technologies have served as invaluable tools. While recent advances in molecular biology have introduced new techniques (i.e., CRISPR mediated gene editing) (Cong et al., Science 339(6121):819-823, 2013; Wang et al., Cell 153(4):910-918, 2013) for the generation of transgenic mice in a relatively short period of time, it can still take a long time to test biological hypotheses from scratch to design how to generate knock-in or knockout mice. Here, we describe methods to manipulate gene expression in T cell receptor (TCR) transgenic CD4 T cells, which allow us to investigate gene functions in the study of differentiation pathways of follicular helper T (Tfh) cells.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Researcher 3 21%
Student > Bachelor 2 14%
Student > Doctoral Student 2 14%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 3 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Immunology and Microbiology 4 29%
Nursing and Health Professions 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 1 7%
Unknown 2 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 22 December 2015.
All research outputs
#18,410,971
of 22,805,349 outputs
Outputs from Methods in molecular biology
#7,906
of 13,120 outputs
Outputs of similar age
#255,827
of 353,087 outputs
Outputs of similar age from Methods in molecular biology
#479
of 996 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,120 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% 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 353,087 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.