The molecular basis of gamma delta T cell recognition in health and disease.


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2013-2020

FUNDING AMOUNT

1608751 GBP

ABSTRACT

Gamma/delta T-cells have co-evolved alongside alpha/beta T-cells and B cells, and are increasingly recognized as mediating important non-redundant roles in lymphoid stress surveillance, during both pathogen infection and anti-tumour immunity. However, whereas alpha/beta T-cells and B cells are relatively well characterised, we lack the most basic knowledge of gamma/delta T-cell recognition. Indeed, despite gamma, delta, alpha and beta TCR genes being discovered contemporaneously in the 1980s, th e central issue of the role of the gamma/delta TCR in antigen recognition, remains unresolved at a molecular level. The nature of the antigens recognized by gamma/delta T-cells, and how their expression on target cells communicates signals of infection or non-microbial stress to T-cells that respond to them, remain some of the most fundamental unanswered questions in vertebrate immunology. This proposal outlines a comprehensive attempt to address these questions by defining the molecular ba sis of gamma/delta T-cell antigen recognition. Focusing predominantly on human Vdelta2-negative gamma/delta T-cells, it employs diverse molecular techniques focused on five key goals: (i)identification of gamma/delta TCR ligands (ii)characterizing their regulation/dysregulation in disease (iii)understanding how in molecular terms they are recognized and in what cellular context (iv)defining key gamma/delta T-cell populations that respond to them (v)investigating therapeutic exploitation of gamma /delta T-cell recognition. It capitalizes on studies in my laboratory that have identified two novel non-MHC ligands for human gamma/delta TCRs, facilitated by an outstanding group of UK/international collaborators. These studies should provide a major step forward in our understanding of, and ultimately in our therapeutic exploitation of, gamma/delta T-cell recognition. More... »

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2206", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2211", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2206", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "amount": {
      "currency": "GBP", 
      "type": "MonetaryAmount", 
      "value": "1608751"
    }, 
    "description": "Gamma/delta T-cells have co-evolved alongside alpha/beta T-cells and B cells, and are increasingly recognized as mediating important non-redundant roles in lymphoid stress surveillance, during both pathogen infection and anti-tumour immunity. However, whereas alpha/beta T-cells and B cells are relatively well characterised, we lack the most basic knowledge of gamma/delta T-cell recognition. Indeed, despite gamma, delta, alpha and beta TCR genes being discovered contemporaneously in the 1980s, th e central issue of the role of the gamma/delta TCR in antigen recognition, remains unresolved at a molecular level. The nature of the antigens recognized by gamma/delta T-cells, and how their expression on target cells communicates signals of infection or non-microbial stress to T-cells that respond to them, remain some of the most fundamental unanswered questions in vertebrate immunology.  This proposal outlines a comprehensive attempt to address these questions by defining the molecular ba sis of gamma/delta T-cell antigen recognition. Focusing predominantly on human Vdelta2-negative gamma/delta T-cells, it employs diverse molecular techniques focused on five key goals: (i)identification of gamma/delta TCR ligands (ii)characterizing their regulation/dysregulation in disease (iii)understanding how in molecular terms they are recognized and in what cellular context (iv)defining key gamma/delta T-cell populations that respond to them (v)investigating therapeutic exploitation of gamma /delta T-cell recognition. It capitalizes on studies in my laboratory that have identified two novel non-MHC ligands for human gamma/delta TCRs, facilitated by an outstanding group of UK/international collaborators. These studies should provide a major step forward in our understanding of, and ultimately in our therapeutic exploitation of, gamma/delta T-cell recognition.", 
    "endDate": "2020-05-31T00:00:00Z", 
    "funder": {
      "id": "https://www.grid.ac/institutes/grid.52788.30", 
      "type": "Organization"
    }, 
    "id": "sg:grant.3640095", 
    "identifier": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "3640095"
        ]
      }, 
      {
        "name": "wt_id", 
        "type": "PropertyValue", 
        "value": [
          "099266/Z/12/Z"
        ]
      }
    ], 
    "inLanguage": [
      "en"
    ], 
    "keywords": [
      "understanding", 
      "role", 
      "alpha", 
      "gamma/delta T", 
      "fundamental unanswered questions", 
      "gamma /delta T", 
      "nature", 
      "cell antigen recognition", 
      "key gamma/delta T", 
      "UK/international collaborators", 
      "disease", 
      "molecular ba sis", 
      "dysregulation", 
      "alpha/beta T", 
      "key goal", 
      "molecular basis", 
      "1980s", 
      "cells", 
      "molecular terms", 
      "therapeutic exploitation", 
      "health", 
      "delta", 
      "cellular context", 
      "infection", 
      "gamma/delta TCR", 
      "i)identification", 
      "MHC", 
      "anti-tumor immunity", 
      "non-microbial stress", 
      "antigen", 
      "cell populations", 
      "most basic knowledge", 
      "outstanding group", 
      "human gamma/delta TCRs", 
      "delta T", 
      "question", 
      "regulation", 
      "gamma delta T cell recognition", 
      "cell recognition", 
      "human Vdelta2-negative gamma/delta T", 
      "important non-redundant role", 
      "expression", 
      "study", 
      "target cells", 
      "comprehensive attempt", 
      "major step", 
      "diverse molecular techniques", 
      "lymphoid stress surveillance", 
      "vertebrate immunology", 
      "laboratory", 
      "central issue", 
      "beta TCR genes", 
      "signal", 
      "proposal", 
      "antigen recognition", 
      "gamma", 
      "molecular level", 
      "pathogen infection"
    ], 
    "name": "The molecular basis of gamma delta T cell recognition in health and disease.", 
    "recipient": [
      {
        "id": "https://www.grid.ac/institutes/grid.6572.6", 
        "type": "Organization"
      }, 
      {
        "affiliation": {
          "id": "https://www.grid.ac/institutes/grid.6572.6", 
          "name": "University of Birmingham", 
          "type": "Organization"
        }, 
        "familyName": "Willcox", 
        "givenName": "Benjamin", 
        "id": "sg:person.01176227010.30", 
        "type": "Person"
      }, 
      {
        "member": "sg:person.01176227010.30", 
        "roleName": "PI", 
        "type": "Role"
      }
    ], 
    "sameAs": [
      "https://app.dimensions.ai/details/grant/grant.3640095"
    ], 
    "sdDataset": "grants", 
    "sdDatePublished": "2019-03-07T13:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com.uberresearch.data.processor/core_data/20181219_192338/projects/base/wt_projects.xml.gz", 
    "startDate": "2013-06-01T00:00:00Z", 
    "type": "MonetaryGrant"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/grant.3640095'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/grant.3640095'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/grant.3640095'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/grant.3640095'


 

This table displays all metadata directly associated to this object as RDF triples.

104 TRIPLES      18 PREDICATES      80 URIs      71 LITERALS      5 BLANK NODES

Subject Predicate Object
1 sg:grant.3640095 schema:about anzsrc-for:2206
2 anzsrc-for:2211
3 schema:amount Ne743f4dc5ccf480d8d7d0c2d6bd8ea5d
4 schema:description Gamma/delta T-cells have co-evolved alongside alpha/beta T-cells and B cells, and are increasingly recognized as mediating important non-redundant roles in lymphoid stress surveillance, during both pathogen infection and anti-tumour immunity. However, whereas alpha/beta T-cells and B cells are relatively well characterised, we lack the most basic knowledge of gamma/delta T-cell recognition. Indeed, despite gamma, delta, alpha and beta TCR genes being discovered contemporaneously in the 1980s, th e central issue of the role of the gamma/delta TCR in antigen recognition, remains unresolved at a molecular level. The nature of the antigens recognized by gamma/delta T-cells, and how their expression on target cells communicates signals of infection or non-microbial stress to T-cells that respond to them, remain some of the most fundamental unanswered questions in vertebrate immunology. This proposal outlines a comprehensive attempt to address these questions by defining the molecular ba sis of gamma/delta T-cell antigen recognition. Focusing predominantly on human Vdelta2-negative gamma/delta T-cells, it employs diverse molecular techniques focused on five key goals: (i)identification of gamma/delta TCR ligands (ii)characterizing their regulation/dysregulation in disease (iii)understanding how in molecular terms they are recognized and in what cellular context (iv)defining key gamma/delta T-cell populations that respond to them (v)investigating therapeutic exploitation of gamma /delta T-cell recognition. It capitalizes on studies in my laboratory that have identified two novel non-MHC ligands for human gamma/delta TCRs, facilitated by an outstanding group of UK/international collaborators. These studies should provide a major step forward in our understanding of, and ultimately in our therapeutic exploitation of, gamma/delta T-cell recognition.
5 schema:endDate 2020-05-31T00:00:00Z
6 schema:funder https://www.grid.ac/institutes/grid.52788.30
7 schema:identifier N797f976a3b4c41ab99248ce87408f94b
8 Nc90ae35acc914643a4d42f6795e1b485
9 schema:inLanguage en
10 schema:keywords 1980s
11 MHC
12 UK/international collaborators
13 alpha
14 alpha/beta T
15 anti-tumor immunity
16 antigen
17 antigen recognition
18 beta TCR genes
19 cell antigen recognition
20 cell populations
21 cell recognition
22 cells
23 cellular context
24 central issue
25 comprehensive attempt
26 delta
27 delta T
28 disease
29 diverse molecular techniques
30 dysregulation
31 expression
32 fundamental unanswered questions
33 gamma
34 gamma /delta T
35 gamma delta T cell recognition
36 gamma/delta T
37 gamma/delta TCR
38 health
39 human Vdelta2-negative gamma/delta T
40 human gamma/delta TCRs
41 i)identification
42 important non-redundant role
43 infection
44 key gamma/delta T
45 key goal
46 laboratory
47 lymphoid stress surveillance
48 major step
49 molecular ba sis
50 molecular basis
51 molecular level
52 molecular terms
53 most basic knowledge
54 nature
55 non-microbial stress
56 outstanding group
57 pathogen infection
58 proposal
59 question
60 regulation
61 role
62 signal
63 study
64 target cells
65 therapeutic exploitation
66 understanding
67 vertebrate immunology
68 schema:name The molecular basis of gamma delta T cell recognition in health and disease.
69 schema:recipient Ne8dd9db20479468587d026fd0f6a28a2
70 sg:person.01176227010.30
71 https://www.grid.ac/institutes/grid.6572.6
72 schema:sameAs https://app.dimensions.ai/details/grant/grant.3640095
73 schema:sdDatePublished 2019-03-07T13:01
74 schema:sdLicense https://scigraph.springernature.com/explorer/license/
75 schema:sdPublisher N6fb1e65c28c147f7ad0c1b1de2d4896c
76 schema:startDate 2013-06-01T00:00:00Z
77 sgo:license sg:explorer/license/
78 sgo:sdDataset grants
79 rdf:type schema:MonetaryGrant
80 N6fb1e65c28c147f7ad0c1b1de2d4896c schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 N797f976a3b4c41ab99248ce87408f94b schema:name dimensions_id
83 schema:value 3640095
84 rdf:type schema:PropertyValue
85 Nc90ae35acc914643a4d42f6795e1b485 schema:name wt_id
86 schema:value 099266/Z/12/Z
87 rdf:type schema:PropertyValue
88 Ne743f4dc5ccf480d8d7d0c2d6bd8ea5d schema:currency GBP
89 schema:value 1608751
90 rdf:type schema:MonetaryAmount
91 Ne8dd9db20479468587d026fd0f6a28a2 schema:member sg:person.01176227010.30
92 schema:roleName PI
93 rdf:type schema:Role
94 anzsrc-for:2206 schema:inDefinedTermSet anzsrc-for:
95 rdf:type schema:DefinedTerm
96 anzsrc-for:2211 schema:inDefinedTermSet anzsrc-for:
97 rdf:type schema:DefinedTerm
98 sg:person.01176227010.30 schema:affiliation https://www.grid.ac/institutes/grid.6572.6
99 schema:familyName Willcox
100 schema:givenName Benjamin
101 rdf:type schema:Person
102 https://www.grid.ac/institutes/grid.52788.30 schema:Organization
103 https://www.grid.ac/institutes/grid.6572.6 schema:name University of Birmingham
104 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...