![]() ![]() Khan A, Cowen-Rivers AI, Grosnit A, Deik DG, Robert PA, Greiff V, Smorodina E, Rawat P, Akbar R, Dreczkowski K, Tutunov R, Bou-Ammar D, Wang J, Storkey A, Bou-Ammar H (2023) Toward real-world automated antibody design with combinatorial Bayesian optimization Cell Rep Methods, 3 (1), 100374 DOI 10.1016/j.crmeth.2022.100374, PubMed 36814835Īkbar R, Bashour H, Rawat P, Robert PA, Smorodina E, Cotet TS, Flem-Karlsen K, Frank R, Mehta BB, Vu MH, Zengin T, Gutierrez-Marcos J, Lund-Johansen F, Andersen JT, Greiff V (2022) Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies MAbs, 14 (1), 2008790 DOI 10.1080/19420862.2021.2008790, PubMed 35293269Īkbar R, Robert PA, Weber CR, Widrich M, Frank R, Pavlović M, Scheffer L, Chernigovskaya M, Snapkov I, Slabodkin A, Mehta BB, Miho E, Lund-Johansen F, Andersen JT, Hochreiter S, Hobæk Haff I, Klambauer G, Sandve GK, Greiff V (2022) In silico proof of principle of machine learning-based antibody design at unconstrained scale MAbs, 14 (1), 2031482 DOI 10.1080/19420862.2022.2031482, PubMed 35377271ĭahal-Koirala S, Balaban G, Neumann RS, Scheffer L, Lundin KEA, Greiff V, Sollid LM, Qiao SW, Sandve GK (2022) TCRpower: quantifying the detection power of T-cell receptor sequencing with a novel computational pipeline calibrated by spike-in sequences Brief Bioinform, 23 (2) DOI 10.1093/bib/bbab566, PubMed 35062022ĭorraji E, Borgen E, Segura-Peña D, Rawat P, Smorodina E, Dunn C, Greiff V, Sekulić N, Russnes H, Kyte JA (2022) Development of a High-Affinity Antibody against the Tumor-Specific and Hyperactive 611-p95HER2 Isoform Cancers (Basel), 14 (19) DOI 10.3390/cancers14194859, PubMed 36230782 10.1038/nm.Cenariu D, Rus I, Bergthorsson JT, Grewal R, Cenariu M, Greiff V, Tigu AB, Dima D, Selicean C, Petrushev B, Zdrenghea M, Fromm J, Aanei CM, Tomuleasa C (2023) Flow Cytometry of CD5-Positive Hairy Cell Leukemia Mol Diagn Ther (in press) DOI 10.1007/s40298-x, PubMed 37291380Ĭonstantinescu C, Constantinescu R, Bergthorsson JT, Greiff V, Tanase A, Colita A, Gulei D, Tomuleasa C (2023) Pitfalls in patenting academic CAR-T cells therapy Expert Opin Ther Pat, 1-10 (in press) DOI 10.1080/13543776.2023.2220883, PubMed 37254751įernández-Quintero ML, Ljungars A, Waibl F, Greiff V, Andersen JT, Gjølberg TT, Jenkins TP, Voldborg BG, Grav LM, Kumar S, Georges G, Kettenberger H, Liedl KR, Tessier PM, McCafferty J, Laustsen AH (2023) Assessing developability early in the discovery process for novel biologics MAbs, 15 (1), 2171248 DOI 10.1080/19420862.2023.2171248, PubMed 36823021 Low-dose interleukin-2 treatment selectively modulates CD4(+) T cell subsets in patients with systemic lupus erythematosus. He J, Zhang X, Wei Y, Sun X, Chen Y, Deng J, Jin Y, Gan Y, Hu X, Jia R, Xu C, Hou Z, Leong YA, et al. CD5+ B lymphocytes in systemic lupus erythematosus patients: relation to disease activity. Peripheral blood lymphocytes in SLE-hyperexpression of CD154 on T and B lymphocytes and increased number of double negative T cells. Recent developments in systemic lupus erythematosus pathogenesis and applications for therapy. Systemic lupus erythematosus: Diagnosis and clinical management. Taken together, we characterized the transcriptome and TCR/BCR immune repertoire profiles of SLE patients, which may provide a new avenue for the diagnosis and treatment of SLE.īCR SLE TCR immune cells single-cell sequencing.įava A, Petri M. ![]() Furthermore, patients with SLE showed biased usage of TCR and BCR V(D)J genes. In addition, patients with SLE showed increased TCR and BCR clonotypes compared with the healthy controls. Besides, the bioinformatics analysis of differentially expressed genes (DEGs) in these cell types indicates their role in inflammation response. ![]() The results demonstrated that neutrophil, macrophage, and dendritic cells were accumulated in SLE by annotating the immune cell types. The results showed that 9732 cells correspondence to 12 cluster immune cell types were identified in NC, whereas 11042 cells correspondence to 16 cluster immune cell types were identified in SLE. In this study, we used a single-cell 5' RNA sequence and single-cell T cell receptor (TCR)/B cell receptor (BCR) to study the immune cells and the repertoire from ten SLE patients and the paired normal controls (NC). Exploring their expression and distribution in SLE can help us better understand this lethal autoimmune disease. The immune cells and the repertoire of T cells and B cells play an important role in the pathogenesis of systemic lupus erythematosus (SLE). ![]()
0 Comments
Leave a Reply. |