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T-Cell Development

Overview of attention for book
Cover of 'T-Cell Development'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Beginner’s Guide to T Cell Development
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    Chapter 2 Revelations in Thymic Epithelial Cell Biology and Heterogeneity from Single-Cell RNA Sequencing and Lineage Tracing Methodologies.
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    Chapter 3 Early Development of Innate Lymphoid Cells
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    Chapter 4 Development of γδ T Cells: Soldiers on the Front Lines of Immune Battles
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    Chapter 5 Principles of Advanced Flow Cytometry: A Practical Guide
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    Chapter 6 Genetic Strategies to Study T Cell Development
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    Chapter 7 A Simplified Approach to Evaluating T Cell Development by Flow Cytometry
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    Chapter 8 Purification of Thymocyte and T Cell Subsets
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    Chapter 9 Generation of Bone Marrow Chimeras
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    Chapter 10 Generation of Murine T Cell Effector Populations In Vitro
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    Chapter 11 Large-Scale Isolation of Mouse Thymic Epithelial Cells
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    Chapter 12 Generation of Retrogenic Mice to Investigate T Cell Development
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    Chapter 13 Purification of Bone Marrow Precursors to T Cells and ILCs
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    Chapter 14 Studying T Cell Development in Neonatal and Adult Thymic Slices
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    Chapter 15 Induction of Human T Cell Development In Vitro with OP9-DL4-7FS Cells Expressing Human Cytokines
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    Chapter 16 Methods for Study of Mouse T Cell Receptor α and β Gene Rearrangements.
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    Chapter 17 Ultrasound-Guided Intra-thymic Cell Injection
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    Chapter 18 Fetal Thymic Organ Culture and Negative Selection
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    Chapter 19 In Vitro Analysis of Thymocyte Signaling
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    Chapter 20 Identification and Purification of Human T Cell Precursors
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    Chapter 21 In Vitro Model Systems to Study Human T Cell Development
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    Chapter 22 Zebrafish: A Tractable Model for Analysis of T Cell Development
Attention for Chapter 2: Revelations in Thymic Epithelial Cell Biology and Heterogeneity from Single-Cell RNA Sequencing and Lineage Tracing Methodologies.
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Chapter title
Revelations in Thymic Epithelial Cell Biology and Heterogeneity from Single-Cell RNA Sequencing and Lineage Tracing Methodologies.
Chapter number 2
Book title
T-Cell Development
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-2740-2_2
Pubmed ID
Book ISBNs
978-1-07-162739-6, 978-1-07-162740-2
Authors

Morales-Sanchez, Abigail, Shissler, Susannah C, Cowan, Jennifer E, Bhandoola, Avinash, Shissler, Susannah C., Cowan, Jennifer E.

Abstract

Thymic epithelial cells (TECs) make up the thymic microenvironments that support the generation of a functionally competent and self-tolerant T-cell repertoire. Cortical (c)TECs, present in the cortex, are essential for early thymocyte development including selection of thymocytes expressing functional TCRs (positive selection). Medullary (m)TECs, located in the medulla, play a key role in late thymocyte development, including depletion of self-reactive T cells (negative selection) and selection of regulatory T cells. In recent years, transcriptomic analysis by single-cell (sc)RNA sequencing (Seq) has revealed TEC heterogeneity previously masked by population-level RNA-Seq or phenotypic studies. We summarize the discoveries made possible by scRNA-Seq, including the identification of novel mTEC subsets, advances in understanding mTEC promiscuous gene expression, and TEC alterations from embryonic to adult stages. Whereas pseudotime analyses of scRNA-Seq data can suggest relationships between TEC subsets, experimental methods such as lineage tracing and reaggregate thymic organ culture (RTOC) are required to test these hypotheses. Lineage tracing - namely, of β5t or Aire expressing cells - has exposed progenitor and parent-daughter cellular relationships within TEC.

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Immunology and Microbiology 1 50%
Unknown 1 50%
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 15 November 2022.
All research outputs
#18,657,639
of 23,114,117 outputs
Outputs from Methods in molecular biology
#8,001
of 13,227 outputs
Outputs of similar age
#260,870
of 388,393 outputs
Outputs of similar age from Methods in molecular biology
#195
of 293 outputs
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We're also able to compare this research output to 293 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.