Lower frequencies of circulating suppressive regulatory T cells and higher frequencies of CD4+ naïve T cells at baseline are associated with severe immune-related adverse events in immune checkpoint inhibitor-treated melanoma

Autor: Siwen Hu-Lieskovan, Ngan Nguyen, Magdalena Kovacsovics-Bankowski, John Hyngstrom, Li-Chun Cheng, Jordan P McPherson, Umang Swami, Matthew H Spitzer, Johanna M Sweere, Connor P Healy, Natalia Sigal, William D Chronister, Shane A Evans, John Marsiglio, Berit Gibson, Alyssa Erickson-Wayman, Yoko S Derose, Annaleah Larson Eliason, Carlos O Medina, Ramji Srinivasan

Publikováno v: Journal for ImmunoTherapy of Cancer, Vol 12, Iss 1 (2024)

Background Immune-related adverse events (irAEs) are major barriers of clinical management and further development of immune checkpoint inhibitors (ICIs) for cancer therapy. Therefore, biomarkers associated with the onset of severe irAEs are needed.

Externí odkaz: https://doaj.org/article/33adf4f87d5845b590a6128eac8e0678

Deletion of Topoisomerase 1 in excitatory neurons causes genomic instability and early onset neurodegeneration

Autor: Giulia Fragola, Angela M. Mabb, Bonnie Taylor-Blake, Jesse K. Niehaus, William D. Chronister, Hanqian Mao, Jeremy M. Simon, Hong Yuan, Zibo Li, Michael J. McConnell, Mark J. Zylka

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)

Topoisomerase 1 (TOP1) relieves DNA torsional stress during transcription and facilitates the expression of long neuronal genes. Here we show that deletion of Top1 in excitatory neurons leads to early onset neurodegeneration that is partially depende

Externí odkaz: https://doaj.org/article/0fddde2332ce490c801aa1485380dfc3

TCRMatch: Predicting T-Cell Receptor Specificity Based on Sequence Similarity to Previously Characterized Receptors

Autor: William D. Chronister, Austin Crinklaw, Swapnil Mahajan, Randi Vita, Zeynep Koşaloğlu-Yalçın, Zhen Yan, Jason A. Greenbaum, Leon E. Jessen, Morten Nielsen, Scott Christley, Lindsay G. Cowell, Alessandro Sette, Bjoern Peters

Publikováno v: Frontiers in Immunology, Vol 12 (2021)

The adaptive immune system in vertebrates has evolved to recognize non-self antigens, such as proteins expressed by infectious agents and mutated cancer cells. T cells play an important role in antigen recognition by expressing a diverse repertoire o

Externí odkaz: https://doaj.org/article/4a6b9c7de79f4e06b382b69bc970722a

Deletion of Topoisomerase 1 in excitatory neurons causes genomic instability and early onset neurodegeneration

Autor: Mark J. Zylka, Angela M. Mabb, Bonnie Taylor-Blake, William D. Chronister, Jeremy M. Simon, Hong Yuan, Zibo Li, Michael J. McConnell, Giulia Fragola, Jesse K. Niehaus, Hanqian Mao

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
Nature Communications

Topoisomerase 1 (TOP1) relieves torsional stress in DNA during transcription and facilitates the expression of long (>100 kb) genes, many of which are important for neuronal functions. To evaluate how loss of Top1 affected neurons in vivo, we conditi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd9917856ceea64db8f49013740259b5
https://doaj.org/article/0fddde2332ce490c801aa1485380dfc3

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

Autor: Amalie Kai Bentzen, William D. Chronister, Morten Nielsen, Helle Rus Povlsen, Viktoria Schuster, Ole Winther, Vanessa Isabell Jurtz, Sine Reker Hadrup, Austin Crinklaw, Bjoern Peters, Alessandro Montemurro, Leon Eyrich Jessen

Publikováno v: Montemurro, A, Schuster, V, Povlsen, H R, Bentzen, A K, Jurtz, V, Chronister, W D, Crinklaw, A, Hadrup, S R, Winther, O, Peters, B, Jessen, L E & Nielsen, M 2021, ' NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data ', Communications Biology, vol. 4, no. 1, 1060 . https://doi.org/10.1038/s42003-021-02610-3
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
Montemurro, A, Schuster, V, Povlsen, H R, Bentzen, A K, Jurtz, V, Chronister, W D, Crinklaw, A, Hadrup, S R, Winther, O, Peters, B, Jessen, L E & Nielsen, M 2021, ' NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data ', Communications Biology, vol. 4, 1060 . https://doi.org/10.1038/s42003-021-02610-3

Prediction of T-cell receptor (TCR) interactions with MHC-peptide complexes remains highly challenging. This challenge is primarily due to three dominant factors: data accuracy, data scarceness, and problem complexity. Here, we showcase that “shall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f52488649735adc2c45a109b91698e86
https://orbit.dtu.dk/en/publications/54a18255-04b9-43e5-99d1-81af602e0d78