联合作者(
Sangeeta Kowli 1 protocol

Molly Miranda 1 protocol

Miao Zhao 1 protocol

Igor Goncharov 1 protocol

顾问
Holden T. Maecker
  • Professor (Research), Immunity, Transplantation & Infection, School of Medicine, Stanford University, Stanford
  • 已发表 protocol 9
课题组

Education

Ph.D. in Cancer Biology, Stanford University, 1988

Current position

Professor (Research), Immunity, Transplantation & Infection
Director, Human Immune Monitoring Center (HIMC)
School of Medicine, Stanford University, USA

Maecker is a Professor (Research) of Microbiology and Immunology at Stanford University.  His research group is focused on cellular immune responses to chronic pathogens and cancer, and the correlation of those responses with immune protection.

The group has published a number of papers on this topic, both independently and in collaboration with other groups, in systems such as CMV, HIV, tuberculosis, and cancer.

Maecker also directs the Human Immune Monitoring Center (HIMC), a Stanford core service laboratory, which performs standardized assays using flow cytometry, genomics, and immunoassay platforms.

Publications

https://profiles.stanford.edu/holden-maecker?tab=publications

已发表 protocol 10篇
Immunophenotyping and Intracellular Staining of Fixed Whole Blood for Mass Cytometry (CyTOF)
用于细胞计数法(CyTOF)的固定全血的免疫分型和细胞内染色

作者:Sangeeta Kowli and Holden Maecker日期:09/05/2020,浏览量:3054,Q&A: 0
In this report, we present the implementation of mass cytometry for intracellular staining using fixed whole blood. In our assay described here, 250 µl of whole blood, is stimulated in vitro with PMA/ionomycin (or left unstimulated), in the ...
Protein- and Sequencing-based Massively Parallel Single-cell Approaches to Gene Expression Profiling
用于基因表达谱分析的基于蛋白和测序的大规模平行单细胞技术

作者:Xuhuai Ji, Igor Goncharov, Miao Zhao, Molly Miranda and Holden T. Maecker日期:02/05/2019,浏览量:5934,Q&A: 0
Understanding cellular diversity and dynamics in immune cells are critical for elucidating mechanisms of diagnosis, response to therapeutics, and patient prognosis. Our goal is to apply a technically simple approach for gene expression cytometry ...