The tempo and mode of gene regulatory programs during bacterial infection.
The tempo and mode of gene regulatory programs during bacterial infection.
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细菌感染期间基因调节程序的克里思和模式。
DOI:
10.1016/j.celrep.2022.111477
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发表时间:
2022-10-11
期刊:
影响因子:
8.8
通讯作者:
Yanai, Itai
中科院分区:
文献类型:
--
作者:
Avital, Gal;Kuperwaser, Felicia;Pountain, Andrew W.;Lacey, Keenan A.;Zwack, Erin E.;Podkowik, Magdalena;Shopsin, Bo;Torres, Victor J.;Yanai, Itai
Innate immune recognition of bacterial pathogens is a key determinant of the ensuing systemic response, and host or pathogen heterogeneity in this early interaction can impact the course of infection. To gain insight into host response heterogeneity, we investigate macrophage inflammatory dynamics using primary human macrophages infected with Group B Streptococcus. Transcriptomic analysis reveals discrete cellular states within responding macrophages, one of which consists of four sub-states, reflecting inflammatory activation. Infection with six additional bacterial species—Staphylococcus aureus, Listeria monocytogenes, Enterococcus faecalis, Yersinia pseudotuberculosis, Shigella flexneri, and Salmonella enterica—recapitulates these states, though at different frequencies. We show that modulating the duration of infection and the presence of a toxin impacts inflammatory trajectory dynamics. We provide evidence for this trajectory in infected macrophages in an in vivo model of Staphylococcus aureus infection. Our cell-state analysis defines a framework for understanding inflammatory activation dynamics in response to bacterial infection. Avital et al. show that bacterial infection induces discrete transcriptomic states in macrophages that correspond to different response functions. One of these states captures inflammatory activation characterized by four gene modules. The dynamics of this inflammatory trajectory can be impacted by modulation of bacterial stimulus, infection duration, and presence of toxins.
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影响因子:
14.9
作者:
Howe KL;Achuthan P;Allen J;Allen J;Alvarez-Jarreta J;Amode MR;Armean IM;Azov AG;Bennett R;Bhai J;Billis K;Boddu S;Charkhchi M;Cummins C;Da Rin Fioretto L;Davidson C;Dodiya K;El Houdaigui B;Fatima R;Gall A;Garcia Giron C;Grego T;Guijarro-Clarke C;Haggerty L;Hemrom A;Hourlier T;Izuogu OG;Juettemann T;Kaikala V;Kay M;Lavidas I;Le T;Lemos D;Gonzalez Martinez J;Marugán JC;Maurel T;McMahon AC;Mohanan S;Moore B;Muffato M;Oheh DN;Paraschas D;Parker A;Parton A;Prosovetskaia I;Sakthivel MP;Salam AIA;Schmitt BM;Schuilenburg H;Sheppard D;Steed E;Szpak M;Szuba M;Taylor K;Thormann A;Threadgold G;Walts B;Winterbottom A;Chakiachvili M;Chaubal A;De Silva N;Flint B;Frankish A;Hunt SE;IIsley GR;Langridge N;Loveland JE;Martin FJ;Mudge JM;Morales J;Perry E;Ruffier M;Tate J;Thybert D;Trevanion SJ;Cunningham F;Yates AD;Zerbino DR;Flicek P
通讯作者:
Flicek P
影响因子:
9.3
作者:
Cheng CS;Behar MS;Suryawanshi GW;Feldman KE;Spreafico R;Hoffmann A
通讯作者:
Hoffmann A
影响因子:
3.1
作者:
Feezor, RJ;Oberholzer, C;Oberholzer, A
通讯作者:
Oberholzer, A
影响因子:
3.8
作者:
BJORK, L;ANDERSSON, J;ANDERSSON, U
通讯作者:
ANDERSSON, U
影响因子:
9.3
作者:
Blecher-Gonen, Ronnie;Bost, Pierre;Amit, Ido
通讯作者:
Amit, Ido