Bryan J. Cannon is a graduate student at Stanford University, pursuing a PhD in Computational & Systems Immunology, with research focused on studying the cellular and acellular composition of human neurodegeneration using hi-dimensional imaging and sequencing datasets. He has experience in computational immunology, including multiplex ion beam imaging technology, image segmentation, and multi-dimensional analysis pipelines, as well as expertise in R, Matlab, and Python programming languages. Prior to Stanford, he worked as a Project Associate at NASA Ames Research Center and a Research Assistant at the Autoimmune & Rheumatology Lab, Bone Research Lab, and Cardiac Surgery Lab. Additionally, he has been involved in advocacy work, including mentoring high school students in summer research, working on a project for diversity and inclusion in immunology, giving lectures for the EXPLORE Lecture Series, and mentoring first-generation and low-income students at Stanford.
Single-cell spatial proteomic imaging for human neuropathology.
Acta neuropathologica communications
2022; 10 (1): 158
Neurodegenerative disorders are characterized by phenotypic changes and hallmark proteopathies. Quantifying these in archival human brain tissues remains indispensable for validating animal models and understanding disease mechanisms. We present a framework for nanometer-scale, spatial proteomics with multiplex ion beam imaging (MIBI) for capturing neuropathological features. MIBI facilitated simultaneous, quantitative imaging of 36 proteins on archival human hippocampus from individuals spanning cognitively normal to dementia. Customized analysis strategies identified cell types and proteopathies in the hippocampus across stages of Alzheimer's disease (AD) neuropathologic change. We show microglia-pathologic tau interactions in hippocampal CA1 subfield in AD dementia. Data driven, sample independent creation of spatial proteomic regions identified persistent neurons in pathologic tau neighborhoods expressing mitochondrial protein MFN2, regardless of cognitive status, suggesting a survival advantage. Our study revealed unique insights from multiplexed imaging and data-driven approaches for neuropathologic analysis and serves broadly as a methodology for spatial proteomic analysis of archival human neuropathology. TEASER: Multiplex Ion beam Imaging enables deep spatial phenotyping of human neuropathology-associated cellular and disease features.
View details for DOI 10.1186/s40478-022-01465-x
View details for PubMedID 36333818
B cells in rheumatoid arthritis synovial tissues encode focused antibody repertoires that include antibodies that stimulate macrophage TNF-α production.
Clinical immunology (Orlando, Fla.)
Rheumatoid arthritis (RA) is characterized by the production of anti-citrullinated protein antibodies (ACPAs). To gain insights into the relationship between ACPA-expressing B cells in peripheral blood (PB) and synovial tissue (ST), we sequenced the B cell repertoire in paired PB and ST samples from five individuals with established, ACPA+ RA. Bioinformatics analysis of paired heavy and light chain sequences revealed clonally-related family members shared between PB and ST. ST-derived antibody repertoires exhibited reduced diversity and increased normalized clonal family size compared to PB-derived repertoires. Functional characterization showed that seven recombinant antibodies (rAbs) expressed from subject-derived sequences from both compartments bound citrullinated antigens and immune complexes (ICs) formed using one ST-derived rAb stimulated macrophage TNF-α production. Our findings demonstrate B cell trafficking between PB and ST in subjects with RA and ST repertoires include B cells that encode ACPA capable of forming ICs that stimulate cellular responses implicated in RA pathogenesis.
View details for DOI 10.1016/j.clim.2020.108360
View details for PubMedID 32035179
Affinity Maturation Drives Epitope Spreading and Generation of Proinflammatory Anti-Citrullinated Protein Antibodies in Rheumatoid Arthritis
ARTHRITIS & RHEUMATOLOGY
2018; 70 (12): 1946–58
View details for DOI 10.1002/art.40587
View details for Web of Science ID 000451440200006