↓ Skip to main content
What is this page? Embed badge

T-Cell Differentiation

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Vast Universe of T Cell Diversity: Subsets of Memory Cells and Their Differentiation
  3. Altmetric Badge
    Chapter 2 Basic Aspects of T Helper Cell Differentiation
  4. Altmetric Badge
    Chapter 3 FACS Analysis of Memory T Lymphocytes
  5. Altmetric Badge
    Chapter 4 Intravital Microscopy Analysis of Hepatic T Cell Dynamics
  6. Altmetric Badge
    Chapter 5 Analysis of T Cell Activation by Confocal Microscopy
  7. Altmetric Badge
    Chapter 6 Phenotypic and Functional Analysis of Antigen-Specific T Cell Exhaustion
  8. Altmetric Badge
    Chapter 7 pMHC Multiplexing Strategy to Detect High Numbers of T Cell Responses in Parallel
  9. Altmetric Badge
    Chapter 8 Differentiation of Diverse Progenies of Memory T Cells from Naïve CD8+ T Cell Precursors
  10. Altmetric Badge
    Chapter 9 Gammaretroviral Production and T Cell Transduction to Genetically Retarget Primary T Cells Against Cancer
  11. Altmetric Badge
    Chapter 10 Measuring Telomerase Activity in Senescent Human T Cells Upon Genetic Modification
  12. Altmetric Badge
    Chapter 11 Strategies for T Helper Cell Subset Differentiation from Naïve Precursors
  13. Altmetric Badge
    Chapter 12 Phenotypic and Functional Analysis of the Suppressive Function of Human Regulatory T Cells
  14. Altmetric Badge
    Chapter 13 Approaches to Detect microRNA Expression in T Cell Subsets and T Cell Differentiation
  15. Altmetric Badge
    Chapter 14 T-Cell Differentiation
  16. Altmetric Badge
    Chapter 15 T-Cell Differentiation
  17. Altmetric Badge
    Chapter 16 Single-Cell RNA Sequencing of Human T Cells
  18. Altmetric Badge
    Chapter 17 Extensive Phenotypic Analysis, Transcription Factor Profiling, and Effector Cytokine Production of Human MAIT Cells by Flow Cytometry
  19. Altmetric Badge
    Chapter 18 Developmental and Functional Assays to Study Murine and Human γδ T Cells
Attention for Chapter 15: T-Cell Differentiation
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
3 Mendeley
Summary X Dimensions citations
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
T-Cell Differentiation
Chapter number 15
Book title
T-Cell Differentiation
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6548-9_15
Pubmed ID
27787802
Book ISBNs
978-1-4939-6546-5, 978-1-4939-6548-9
Authors

Dominguez, Maria, Roederer, Mario, Chattopadhyay, Pratip K, Maria Dominguez, Mario Roederer, Pratip K. Chattopadhyay

Editors

Enrico Lugli

Abstract

Recently, technologies have been developed to measure expression of 96 (or more) mRNA transcripts at once from a single cell. Here we describe methods and important considerations for use of Fluidigm's BioMark platform for multiplexed single cell gene expression. We describe how to qualify primer/probes, select genes to examine in 96-parameter panels, perform the reverse transcription/cDNA synthesis step, and operate the instrument. In addition, we describe data analysis considerations. This technology has enormous value for characterizing the heterogeneity of T-cells, thereby providing a useful tool for immune monitoring.

View on publisher site
X Demographics

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Unknown 2 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 2 67%
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 28 October 2016.
All research outputs
#15,390,684
of 22,896,955 outputs
Outputs from Methods in molecular biology
#5,354
of 13,135 outputs
Outputs of similar age
#256,313
of 420,429 outputs
Outputs of similar age from Methods in molecular biology
#465
of 1,074 outputs
Altmetric has tracked 22,896,955 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 13,135 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 420,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% 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 is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.

This page is provided by Altmetric.