New Genome-Wide Algorithm Identifies Novel In-Vivo Expressed Mycobacterium Tuberculosis Antigens Inducing Human T-Cell Responses with Classical and Unconventional Cytokine Profiles.
New Genome-Wide Algorithm Identifies Novel In-Vivo Expressed Mycobacterium Tuberculosis Antigens Inducing Human T-Cell Responses with Classical and Unconventional Cytokine Profiles.
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DOI:
10.1038/srep37793
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发表时间:
2016-11-28
影响因子:
4.6
通讯作者:
Ottenhoff TH
中科院分区:
文献类型:
--
作者:
Coppola M;van Meijgaarden KE;Franken KL;Commandeur S;Dolganov G;Kramnik I;Schoolnik GK;Comas I;Lund O;Prins C;van den Eeden SJ;Korsvold GE;Oftung F;Geluk A;Ottenhoff TH
New strategies are needed to develop better tools to control TB, including identification of novel antigens for vaccination. Such Mtb antigens must be expressed during Mtb infection in the major target organ, the lung, and must be capable of eliciting human immune responses. Using genome-wide transcriptomics of Mtb infected lungs we developed data sets and methods to identify IVE-TB (in-vivo expressed Mtb) antigens expressed in the lung. Quantitative expression analysis of 2,068 Mtb genes from the predicted first operons identified the most upregulated IVE-TB genes during in-vivo pulmonary infection. By further analysing high-level conservation among whole-genome sequenced Mtb-complex strains (n = 219) and algorithms predicting HLA-class-Ia and II presented epitopes, we selected the most promising IVE-TB candidate antigens. Several of these were recognized by T-cells from in-vitro Mtb-PPD and ESAT6/CFP10-positive donors by proliferation and multi-cytokine production. This was validated in an independent cohort of latently Mtb-infected individuals. Significant T-cell responses were observed in the absence of IFN-γ-production. Collectively, the results underscore the power of our novel antigen discovery approach in identifying Mtb antigens, including those that induce unconventional T-cell responses, which may provide important novel tools for TB vaccination and biomarker profiling. Our generic approach is applicable to other infectious diseases.
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影响因子:
7.8
作者:
Behar SM;Carpenter SM;Booty MG;Barber DL;Jayaraman P
通讯作者:
Jayaraman P
DOI:
10.1016/j.tube.2015.07.001
发表时间:
2015-12
期刊:
Tuberculosis (Edinburgh, Scotland)
影响因子:
--
作者:
Carpenter C;Sidney J;Kolla R;Nayak K;Tomiyama H;Tomiyama C;Padilla OA;Rozot V;Ahamed SF;Ponte C;Rolla V;Antas PR;Chandele A;Kenneth J;Laxmi S;Makgotlho E;Vanini V;Ippolito G;Kazanova AS;Panteleev AV;Hanekom W;Mayanja-Kizza H;Lewinsohn D;Saito M;McElrath MJ;Boom WH;Goletti D;Gilman R;Lyadova IV;Scriba TJ;Kallas EG;Murali-Krishna K;Sette A;Lindestam Arlehamn CS
通讯作者:
Lindestam Arlehamn CS
影响因子:
3.1
作者:
Duthie, Malcolm S.;Coler, Rhea N.;Reed, Steven G.
通讯作者:
Reed, Steven G.
影响因子:
5.4
作者:
Caccamo, Nadia;Guggino, Giuliana;Dieli, Francesco
通讯作者:
Dieli, Francesco
影响因子:
6.7
作者:
Lindestam Arlehamn CS;Gerasimova A;Mele F;Henderson R;Swann J;Greenbaum JA;Kim Y;Sidney J;James EA;Taplitz R;McKinney DM;Kwok WW;Grey H;Sallusto F;Peters B;Sette A
通讯作者:
Sette A