STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets.
STARTRAC analyses of scRNAseq data from tumor models reveal T cell dynamics and therapeutic targets.
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DOI:
10.1084/jem.20201329
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发表时间:
2021-06-07
期刊:
影响因子:
--
通讯作者:
Ouyang W
中科院分区:
文献类型:
--
作者:
Bhatt D;Kang B;Sawant D;Zheng L;Perez K;Huang Z;Sekirov L;Wolak D;Huang JY;Liu X;DeVoss J;Manzanillo PS;Pierce N;Zhang Z;Symons A;Ouyang W
Single cell RNAseq analyses were performed on T cells from MC38 and CT26 tumor models. PCA-based sub-clustering and STARTRAC analyses revealed fine-tuned T cell subsets and dynamic in tumor. CCR8 was identified as a novel target on Tregs to synergize with anti–PD-1 for cancer immunotherapy. Single-cell RNA sequencing is a powerful tool to examine cellular heterogeneity, novel markers and target genes, and therapeutic mechanisms in human cancers and animal models. Here, we analyzed single-cell RNA sequencing data of T cells obtained from multiple mouse tumor models by PCA-based subclustering coupled with TCR tracking using the STARTRAC algorithm. This approach revealed various differentiated T cell subsets and activation states, and a correspondence of T cell subsets between human and mouse tumors. STARTRAC analyses demonstrated peripheral T cell subsets that were developmentally connected with tumor-infiltrating CD8+ cells, CD4+ Th1 cells, and T reg cells. In addition, large amounts of paired TCRα/β sequences enabled us to identify a specific enrichment of paired public TCR clones in tumor. Finally, we identified CCR8 as a tumor-associated T reg cell marker that could preferentially deplete tumor-associated T reg cells. We showed that CCR8-depleting antibody treatment provided therapeutic benefit in CT26 tumors and synergized with anti–PD-1 treatment in MC38 and B16F10 tumor models.
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影响因子:
30.5
作者:
Galletti G;De Simone G;Mazza EMC;Puccio S;Mezzanotte C;Bi TM;Davydov AN;Metsger M;Scamardella E;Alvisi G;De Paoli F;Zanon V;Scarpa A;Camisa B;Colombo FS;Anselmo A;Peano C;Polletti S;Mavilio D;Gattinoni L;Boi SK;Youngblood BA;Jones RE;Baird DM;Gostick E;Llewellyn-Lacey S;Ladell K;Price DA;Chudakov DM;Newell EW;Casucci M;Lugli E
通讯作者:
Lugli E
DOI:
10.1073/pnas.0807954105
发表时间:
2008-09-30
影响因子:
11.1
作者:
Derre, Laurent;Bruyninx, Marc;Rufer, Nathalie
通讯作者:
Rufer, Nathalie
影响因子:
7.3
作者:
Garner LC;Klenerman P;Provine NM
通讯作者:
Provine NM
DOI:
10.1084/jem.20180684
发表时间:
2018-10-01
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Brummelman J;Mazza EMC;Alvisi G;Colombo FS;Grilli A;Mikulak J;Mavilio D;Alloisio M;Ferrari F;Lopci E;Novellis P;Veronesi G;Lugli E
通讯作者:
Lugli E
DOI:
10.1073/pnas.1621280114
发表时间:
2017-06-06
影响因子:
11.1
作者:
Barsheshet, Yiftah;Wildbaum, Gizi;Karin, Nathan
通讯作者:
Karin, Nathan