Evidence map›Paper›PMID 30128827›Full record

ReviewCurrent topics in microbiology and immunology

Deciphering T Cell Immunometabolism with Activity-Based Protein Profiling.

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

Abstract readReview
In one paragraph

Review in Current topics in microbiology and immunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Adam L BorneDepartment of Pharmacology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.
Tao HuangDepartment of Chemistry, University of Virginia, McCormick Road, P.O. Box 400319, Charlottesville, VA, 22904, USA.
Rebecca L McCloudDepartment of Chemistry, University of Virginia, McCormick Road, P.O. Box 400319, Charlottesville, VA, 22904, USA.
Boobalan PachaiyappanDepartment of Chemistry, University of Virginia, McCormick Road, P.O. Box 400319, Charlottesville, VA, 22904, USA.
Timothy N J BullockDepartment of Pathology, University of Virginia School of Medicine, Charlottesville, VA, 22908, USA.
Ku-Lung HsuDepartment of Chemistry, University of Virginia, McCormick Road, P.O. Box 400319, Charlottesville, VA, 22904, USA. kenhsu@virginia.edu.

Funding

Cancer Research Training Program: From Molecular Mechanisms to Therapeutic StrategiesT32CA009109 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Andrew Carl Dudley, Melanie R Rutkowski · 1985 to 2026
$13.9M
NCI NIH HHS T32 CA009109
6 · The paper itself

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.

Indexed as

Adaptive ImmunityHumansNeoplasmsProteomeProteomicsSignal TransductionT-LymphocytesProteome

Identifiers

PMID30128827
PMCPMC7134364

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.