Use of HCA in subproteome-immunization and screening of hybridoma supernatants to define distinct antibody binding patterns
详细信息 查看全文
- 作者：Adam T. Szafrana ; Maureen G. Mancinia ; Jeffrey A. Nickersonb ; Dean P. Edwardsa ; c ; Michael A. Mancinia ; mancini@bcm.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：HCA ; high content analysis ; HPA ; Human Protein Atlas ; IF ; immunofluorescence ; NM ; nuclear matrix ; PCA ; principle component analysis ; PLP ; Pipeline Pilot ; RF ; random partitioning/forest ; RSD ; relative standard deviation
- 刊名：Methods
- 出版年：2016
- 出版时间：1 March 2016
- 年：2016
- 卷：96
- 期：Complete
- 页码：75-84
- 全文大小：1715 K
文摘
- •
Immunization with sub-proteomic protein mixture to generate an antibody panel.
- •
Human Protein Atlas images used to train a machine learning image classifier.
- •
Mass spectrometry data defines image patterns associated with the nuclear matrix.
- •
Classifier used to identify novel antibodies associated with the nuclear matrix.