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Activity-Based Protein Profiling

Overview of attention for book
Cover of 'Activity-Based Protein Profiling'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 120 Applications of Reactive Cysteine Profiling
  3. Altmetric Badge
    Chapter 121 Target Identification of Bioactive Covalently Acting Natural Products
  4. Altmetric Badge
    Chapter 123 Activity-Based Protein Profiling for the Study of Parasite Biology
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    Chapter 124 Deciphering T Cell Immunometabolism with Activity-Based Protein Profiling
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    Chapter 125 Opportunities and Challenges in Activity-Based Protein Profiling of Mycobacteria
  7. Altmetric Badge
    Chapter 126 Chemical Proteomic Profiling of Protein Fatty-Acylation in Microbial Pathogens
  8. Altmetric Badge
    Chapter 127 Opportunities for Lipid-Based Probes in the Field of Immunology
  9. Altmetric Badge
    Chapter 128 Activity-Based Protein Profiling—Enabling Multimodal Functional Studies of Microbial Communities
  10. Altmetric Badge
    Chapter 129 Activity-Based Protein Profiling at the Host–Pathogen Interface
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    Chapter 132 Development of Activity-Based Proteomic Probes for Protein Citrullination
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    Chapter 133 Activity-Based Protein Profiling of Non-ribosomal Peptide Synthetases
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    Chapter 134 How to Target Viral and Bacterial Effector Proteins Interfering with Ubiquitin Signaling
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    Chapter 135 Activity-Based Protein Profiling Methods to Study Bacteria: The Power of Small-Molecule Electrophiles
  15. Altmetric Badge
    Chapter 137 Small-Molecule Inhibitors of PARPs: From Tools for Investigating ADP-Ribosylation to Therapeutics
  16. Altmetric Badge
    Chapter 138 Recent Advances in Activity-Based Protein Profiling of Proteases
  17. Altmetric Badge
    Chapter 139 ABPP and Host–Virus Interactions
Attention for Chapter 124: Deciphering T Cell Immunometabolism with Activity-Based Protein Profiling
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Chapter title
Deciphering T Cell Immunometabolism with Activity-Based Protein Profiling
Chapter number 124
Book title
Activity-Based Protein Profiling
Published in
Current topics in microbiology and immunology, August 2018
DOI 10.1007/82_2018_124
Pubmed ID
Book ISBNs
978-3-03-011142-7, 978-3-03-011143-4
Authors

Adam L. Borne, Tao Huang, Rebecca L. McCloud, Boobalan Pachaiyappan, Timothy N. J. Bullock, Ku-Lung Hsu, Borne, Adam L., Huang, Tao, McCloud, Rebecca L., Pachaiyappan, Boobalan, Bullock, Timothy N. J., Hsu, Ku-Lung

Abstract

As a major sentinel of adaptive immunity, T cells seek and destroy diseased cells using antigen recognition to achieve molecular specificity. Strategies to block checkpoint inhibition of T cell activity and thus reawaken the patient's antitumor immune responses are rapidly becoming standard of care for treatment of diverse cancers. Adoptive transfer of patient T cells genetically engineered with tumor-targeting capabilities is redefining the field of personalized medicines. The diverse opportunities for exploiting T cell biology in the clinic have prompted new efforts to expand the scope of targets amenable to immuno-oncology. Given the complex spatiotemporal regulation of T cell function and fate, new technologies capable of global molecular profiling in vivo are needed to guide selection of appropriate T cell targets and subsets. In this chapter, we describe the use of activity-based protein profiling (ABPP) to illuminate different aspects of T cell metabolism and signaling as fertile starting points for investigation. We highlight the merits of ABPP methods to enable target, inhibitor, and biochemical pathway discovery of T cells in the burgeoning field of immuno-oncology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Master 3 19%
Researcher 2 13%
Student > Bachelor 1 6%
Other 1 6%
Other 1 6%
Unknown 5 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Computer Science 1 6%
Psychology 1 6%
Medicine and Dentistry 1 6%
Other 2 13%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 August 2019.
All research outputs
#5,907,407
of 23,577,654 outputs
Outputs from Current topics in microbiology and immunology
#135
of 689 outputs
Outputs of similar age
#100,233
of 334,835 outputs
Outputs of similar age from Current topics in microbiology and immunology
#7
of 12 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 689 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 80% 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 334,835 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.