Validation of a murine proteome-wide phage display library for identification of autoantibody specificities.
Validation of a murine proteome-wide phage display library for identification of autoantibody specificities.
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DOI:
10.1172/jci.insight.174976
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发表时间:
2023-12-08
期刊:
影响因子:
8
通讯作者:
Derisi, Joseph L.
中科院分区:
文献类型:
--
作者:
Rackaityte, Elze;Proekt, Irina;Miller, Haleigh S.;Ramesh, Akshaya;Brooks, Jeremy F.;Kung, Andrew F.;Mandel-Brehm, Caleigh;Yu, David;Zamecnik, Colin R.;Bair, Rebecca;Vazquez, Sara E.;Sunshine, Sara;Abram, Clare L.;Lowell, Clifford A.;Rizzuto, Gabrielle;Wilson, Michael R.;Zikherman, Julie;Anderson, Mark S.;Derisi, Joseph L.
Autoimmunity is characterized by loss of tolerance to tissue-specific as well as systemic antigens, resulting in complex autoantibody landscapes. Here, we introduce and extensively validate the performance characteristics of a murine proteome-wide library for phage display immunoprecipitation and sequencing (PhIP-seq) in profiling mouse autoantibodies. This library was validated using 7 genetically distinct mouse lines across a spectrum of autoreactivity. Mice deficient in antibody production (Rag2–/– and μMT) were used to model nonspecific peptide enrichments, while cross-reactivity was evaluated using anti-ovalbumin B cell receptor–restricted OB1 mice as a proof of principle. The PhIP-seq approach was then utilized to interrogate 3 distinct autoimmune disease models. First, serum from Lyn–/– IgD+/– mice with lupus-like disease was used to identify nuclear and apoptotic bleb reactivities. Second, serum from nonobese diabetic (NOD) mice, a polygenic model of pancreas-specific autoimmunity, was enriched in peptides derived from both insulin and predicted pancreatic proteins. Lastly, Aire–/– mouse sera were used to identify numerous autoantigens, many of which were also observed in previous studies of humans with autoimmune polyendocrinopathy syndrome type 1 carrying recessive mutations in AIRE. These experiments support the use of murine proteome-wide PhIP-seq for antigenic profiling and autoantibody discovery, which may be employed to study a range of immune perturbations in mouse models of autoimmunity profiling.
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DOI:
10.1093/bioinformatics/btr064
发表时间:
2011-04-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Grant CE;Bailey TL;Noble WS
通讯作者:
Noble WS
影响因子:
4.6
作者:
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者:
Hamilton PW
影响因子:
56.9
作者:
Anderson, MS;Venanzi, ES;Mathis, D
通讯作者:
Mathis, D
DOI:
10.1084/jem.194.8.1151
发表时间:
2001-10-15
期刊:
The Journal of experimental medicine
影响因子:
--
作者:
Hao Z;Rajewsky K
通讯作者:
Rajewsky K
影响因子:
4.4
作者:
DeVoss, Jason J.;Shum, Anthony K.;Johannes, Kellsey P. A.;Lu, Wen;Krawisz, Anna K.;Wang, Peter;Yang, Ting;LeClair, Norbert P.;Austin, Cecilia;Strauss, Erich C.;Anderson, Mark S.
通讯作者:
Anderson, Mark S.