000 | 01680 am a22002413u 4500 | ||
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042 | _adc | ||
100 | 1 | 0 |
_aRichard, Arianne C. _eauthor _91043 |
700 | 1 | 0 |
_aFrazer, Gordon L. _eauthor _91044 |
700 | 1 | 0 |
_aMa, Claire Y. _eauthor _91045 |
700 | 1 | 0 |
_aGriffiths, Gillian M _eauthor _91046 |
245 | 0 | 0 | _aStaggered starts in the race to T cell activation |
260 | _c2021-11-01. | ||
500 | _a/pmc/articles/PMC7612485/ | ||
500 | _a/pubmed/34649777 | ||
520 | _aHow T lymphocytes tune their responses to different strengths of stimulation is a fundamental question in immunology. Recent work using new optogenetic, single-cell genomic and live-imaging approaches has revealed that stimulation strength controls the rate of individual cell responses within a population. Moreover, these responses have been found to use shared molecular programs, regardless of stimulation strength. However, additional data indicate that stimulation duration or cytokine feedback can impact later gene expression phenotypes of activated cells. In-depth molecular studies have suggested mechanisms by which stimulation strength might modulate the probability of T cell activation. This emerging model allows activating T cells to achieve a wide range of population responses through probabilistic control within individual cells. | ||
540 | _a | ||
540 | _ahttps://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license. | ||
546 | _aen | ||
690 | _aArticle | ||
655 | 7 |
_aText _2local |
|
786 | 0 | _nTrends Immunol | |
856 | 4 | 1 |
_uhttp://dx.doi.org/10.1016/j.it.2021.09.004 _zConnect to this object online. |
999 |
_c766 _d766 |