Abstract:
:Human cells express thousands of different surface proteins that can be used for cell classification, or to distinguish healthy and disease conditions. A method capable of profiling a substantial fraction of the surface proteome simultaneously and inexpensively would enable more accurate and complete classification of cell states. We present a highly multiplexed and quantitative surface proteomic method using genetically barcoded antibodies called phage-antibody next-generation sequencing (PhaNGS). Using 144 preselected antibodies displayed on filamentous phage (Fab-phage) against 44 receptor targets, we assess changes in B cell surface proteins after the development of drug resistance in a patient with acute lymphoblastic leukemia (ALL) and in adaptation to oncogene expression in a Myc-inducible Burkitt lymphoma model. We further show PhaNGS can be applied at the single-cell level. Our results reveal that a common set of proteins including FLT3, NCR3LG1, and ROR1 dominate the response to similar oncogenic perturbations in B cells. Linking high-affinity, selective, genetically encoded binders to NGS enables direct and highly multiplexed protein detection, comparable to RNA-sequencing for mRNA. PhaNGS has the potential to profile a substantial fraction of the surface proteome simultaneously and inexpensively to enable more accurate and complete classification of cell states.
journal_name
Proc Natl Acad Sci U S Aauthors
Pollock SB,Hu A,Mou Y,Martinko AJ,Julien O,Hornsby M,Ploder L,Adams JJ,Geng H,Müschen M,Sidhu SS,Moffat J,Wells JAdoi
10.1073/pnas.1721899115subject
Has Abstractpub_date
2018-03-13 00:00:00pages
2836-2841issue
11eissn
0027-8424issn
1091-6490pii
1721899115journal_volume
115pub_type
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