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Clinicogenomic factors of biotherapy immunogenicity in autoimmune disease: A prospective multicohort study of the ABIRISK consortium.

Autor: Hässler, Signe^1,2,3 (AUTHOR) signe.hassler@sorbonne-universite.fr, Bachelet, Delphine^1,4 (AUTHOR), Duhaze, Julianne^1,5 (AUTHOR), Szely, Natacha⁶ (AUTHOR), Gleizes, Aude^6,7 (AUTHOR), Hacein-Bey Abina, Salima^7,8 (AUTHOR), Aktas, Orhan⁹ (AUTHOR), Auer, Michael¹⁰ (AUTHOR), Avouac, Jerôme^11,12 (AUTHOR), Birchler, Mary¹³ (AUTHOR), Bouhnik, Yoram^14,15 (AUTHOR), Brocq, Olivier¹⁶ (AUTHOR), Buck-Martin, Dorothea¹⁷ (AUTHOR), Cadiot, Guillaume^15,18 (AUTHOR), Carbonnel, Franck^15,19 (AUTHOR), Chowers, Yehuda²⁰ (AUTHOR), Comabella, Manuel²¹ (AUTHOR), Derfuss, Tobias²² (AUTHOR), De Vries, Niek²³ (AUTHOR), Donnellan, Naoimh²⁴ (AUTHOR)

Publikováno v: PLoS Medicine. 10/30/2020, Vol. 17 Issue 10, p1-27. 27p. 2 Diagrams, 5 Charts, 4 Graphs.

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AIRE Regulates T-Cell-Independent B-Cell Responses through BAFF

Autor: Lindh, Emma, Lind, Sara M., Lindmark, Evelina, Hässler, Signe, Perheentupa, Jaakko, Peltonen, Leena, Winqvist, Ola, Karlsson, Mikael C. I.

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America, 2008 Nov . 105(47), 18466-18471.

Externí odkaz: https://www.jstor.org/stable/25465484

Definition of erythroid cell-positive blood transcriptome phenotypes associated with severe respiratory syncytial virus infection

Autor: Rinchai, Darawan, Altman, Matthew, Konza, Oceane, Hässler, Signe, Martina, Federica, Toufiq, Mohammed, Garand, Mathieu, Kabeer, Basirudeen Syed Ahamed, Palucka, Karolina, Mejias, Asuncion, Ramilo, Octavio, Bedognetti, Davide, Mariotti-Ferrandiz, Encarnita, Klatzmann, David, Chaussabel, Damien

Publikováno v: Clinical and Translational Medicine, Vol 10, Iss 8, Pp n/a-n/a (2020)
Clinical and Translational Medicine
Clinical and Translational Medicine, 2020, 10 (8), pp.e244. ⟨10.1002/ctm2.244⟩

Biomarkers to assess the risk of developing severe respiratory syncytial virus (RSV) infection are needed. We conducted a meta‐analysis of 490 unique profiles from six public RSV blood transcriptome datasets. A repertoire of 382 well‐characterize

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::904d6b474d3b4e452477d04cc7516800
https://pubmed.ncbi.nlm.nih.gov/33377660