| Title |
The transcription factor Runx3 guards cytotoxic CD8+ effector T cells against deviation towards follicular helper T cell lineage
|
|---|---|
| Published in |
Nature Immunology, June 2017
|
| DOI | 10.1038/ni.3773 |
| Pubmed ID | |
| Authors | |
| Abstract |
Activated CD8(+) T cells differentiate into cytotoxic effector (TEFF) cells that eliminate target cells. How TEFF cell identity is established and maintained is not fully understood. We found that Runx3 deficiency limited clonal expansion and impaired upregulation of cytotoxic molecules in TEFF cells. Runx3-deficient CD8(+) TEFF cells aberrantly upregulated genes characteristic of follicular helper T (TFH) cell lineage, including Bcl6, Tcf7 and Cxcr5. Mechanistically, the Runx3-CBFβ transcription factor complex deployed H3K27me3 to Bcl6 and Tcf7 genes to suppress the TFH program. Ablating Tcf7 in Runx3-deficient CD8(+) TEFF cells prevented the upregulation of TFH genes and ameliorated their defective induction of cytotoxic genes. As such, Runx3-mediated Tcf7 repression coordinately enforced acquisition of cytotoxic functions and protected the cytotoxic lineage integrity by preventing TFH-lineage deviation. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 33% |
| Spain | 3 | 14% |
| Singapore | 1 | 5% |
| Canada | 1 | 5% |
| United Kingdom | 1 | 5% |
| Saudi Arabia | 1 | 5% |
| Unknown | 7 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
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| Members of the public | 9 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 160 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
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| Researcher | 26 | 16% |
| Student > Master | 17 | 11% |
| Student > Bachelor | 9 | 6% |
| Student > Doctoral Student | 6 | 4% |
| Other | 14 | 9% |
| Unknown | 41 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 46 | 29% |
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| Agricultural and Biological Sciences | 25 | 16% |
| Medicine and Dentistry | 14 | 9% |
| Engineering | 2 | 1% |
| Other | 4 | 3% |
| Unknown | 42 | 26% |