17 Apr 14:50
by Zehui Zhou, Hanrui Yu, and Marc M. Greenberg

Journal of the American Chemical Society
DOI: 10.1021/jacs.6c03639
17 Apr 02:25
by Sebin Abraham, Chaoyang Zhu, Lai Hoang Son Le, Yugendar R. Alugubelli, Tatsuki Nonomura, Yun Huang, J. Trae Hampton, Yubin Zhou, and Wenshe Ray Liu

Biochemistry
DOI: 10.1021/acs.biochem.6c00058
17 Apr 02:25
by Emma L. Eisenbraun, Natalie L. Beebe, Alexandra E. Nelson, Brendan N. Prosser, Troy D. Vulpis, Amanda E. Appel, and Helen E. Blackwell

Biochemistry
DOI: 10.1021/acs.biochem.6c00065
16 Apr 16:44
by David Monteiro
IntroductionTumor infiltrating lymphocytes (TIL) drive the anti-tumor activity of a broad class of immunotherapies. In situ TIL are composed of T cells that recognize tumor antigens (Tumor Reactive T cells, or TRTs) as well as bystander T cells with specificity for other antigens. TRT clonotypes are associated with a unique and tumor-driven exhausted transcriptional state, enabling single-cell RNA sequencing (scRNA-seq)-based predictive models for TRTs using experimentally validated clone labels.MethodsIn this study, a clonotype-level CD8+ TRT classifier (TRACE) was built using an aggregated dataset of validated tumor reactive clonotypes and associated scRNA-seq data from multiple publications that overcomes the limitations of training on a single dataset, donor, or indication. TRACE does not require dataset manipulation for training or prediction, enabling it to be easily applied to new test datasets as they emerge.ResultsTRACE exhibited robust performance on held-out TIL and PBMC clones - achieving a mean Matthews correlation coefficient of 0.84 and F1-score of 0.85 - comparable to or outperforming other TRT prediction methods. We experimentally confirmed the reactivity of TRACE-identified TRT clones by co-culturing ex vivo expanded TIL with an autologous melanoma tumor cell line. Finally, we applied TRACE to evaluate the frequency of TRTs across hundreds of patient samples from multiple tumor atlases spanning lung, colorectal, and pancreatic cancer. TRACE scores were observed to be significantly higher in exhausted CD8+ T cells in tumors but not in exhausted cells in normal adjacent or non-cancer samples, suggesting specificity towards identifying tumor-antigen experienced T cells.ConclusionTRACE is a tumor reactivity scoring algorithm released with open model weights that can be applied to tissue or blood single-cell RNAseq datasets. Its application should be of general interest for characterizing the fraction of TRTs in TIL and for establishing correlations with clinical response to immunotherapies.
15 Apr 14:28
by Juliana Bernardi Aggio
Human TAPBPR is known to function as a Major Histocompatibility Complex class I (MHC-I) peptide exchange catalyst that shapes the peptide repertoire presented to immune cells. However, investigations characterizing TAPBPR from other species are limited. Here, we characterize mouse TAPBPR, exploring its association partners in mouse cell lines and comparing its function to human TAPBPR. We find that mouse TAPBPR binds MHC-I and calnexin, with a notably sustained interaction with H2-Db compared to H2-Kb. We reveal that mouse TAPBPR restricts the peptide repertoire presented on H2-Db and H2-Kb on MC-38 cells. Intriguingly, mouse TAPBPR presence promotes the selection of peptides with a C-terminal methionine on H2-Kb. We reveal that in the presence of high-affinity peptides, mouse TAPBPR can promote loading of both H2-Db and H2-Kb. Furthermore, mouse TAPBPR efficiently loaded a peptide with a C-terminal methionine onto H2-Kb. Together, our findings suggest that mouse TAPBPR plays an important role in shaping the MHC-I immunopeptidome by functioning as a peptide editor, similar to its human counterpart.
10 Apr 21:51
by Aleah Harris Treiterer, Blaise Robinson, Sean Huggins, and Blaise R. Kimmel

Biochemistry
DOI: 10.1021/acs.biochem.5c00720
09 Apr 17:18
by Benjamin Emenike, John M. Talbott, Zachary E. Paikin, Christian M. Beusch, Sohail Khoshnevis, David E. Gordon, and Monika Raj

ACS Chemical Biology
DOI: 10.1021/acschembio.6c00173
03 Apr 19:49
by Ana Villalobos Galindo, Pinki Sihag, John M. Talbott, and Monika Raj

Journal of the American Chemical Society
DOI: 10.1021/jacs.6c01030
09 Mar 12:03
by Haolong Ye, Yin Liu, Tianzi Chen, Zhanshan Gao, Yue Gao, Haonan Ye, Qiuhao Luo, Haijin Chen, Jiahao Liu, and Dongdong Wu

Journal of the American Chemical Society
DOI: 10.1021/jacs.5c17961