Nano-immunoimaging

Ping Wang¹, Taeho Kim², Masako Harada², Christopher Contag³, Xuefei Huang⁴, Bryan Ronain Smith⁵

Affiliations

¹ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Precision Health Program, Michigan State University, East Lansing, MI 488824, USA.
² Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA.
³ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Precision Health Program, Michigan State University, East Lansing, MI 488824, USA and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA and Department of Microbiology & Molecular Genetics, Michigan State University, East Lansing, MI 488824, USA.
⁴ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA and Department of Chemistry, Michigan State University, East Lansing, MI 488824, USA.
⁵ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA and Department of Radiology, Stanford University, Stanford, CA 94306, USA.

PMID: 32226975
DOI: 10.1039/c9nh00514e

Review

Nano-immunoimaging

Ping Wang et al. Nanoscale Horiz. 2020.

. 2020 Mar 30;5(4):628-653.

doi: 10.1039/c9nh00514e.

Authors

Ping Wang¹, Taeho Kim², Masako Harada², Christopher Contag³, Xuefei Huang⁴, Bryan Ronain Smith⁵

Affiliations

¹ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Precision Health Program, Michigan State University, East Lansing, MI 488824, USA.
² Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA.
³ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Precision Health Program, Michigan State University, East Lansing, MI 488824, USA and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA and Department of Microbiology & Molecular Genetics, Michigan State University, East Lansing, MI 488824, USA.
⁴ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA and Department of Chemistry, Michigan State University, East Lansing, MI 488824, USA.
⁵ Institute for Quantitative Health Science and Engineering, Michigan State University, 775 Woodlot Drive, Room #1118, East Lansing, MI 488824, USA. smit2901@msu.edu and Department of Biomedical Engineering, Michigan State University, East Lansing, MI 488824, USA and Department of Radiology, Stanford University, Stanford, CA 94306, USA.

PMID: 32226975
DOI: 10.1039/c9nh00514e

Abstract

Immunoimaging is a rapidly growing field stoked in large part by the intriguing triumphs of immunotherapy. On the heels of immunotherapy's successes, there exists a growing need to evaluate tumor response to therapy particularly immunotherapy, stratify patients into responders vs. non-responders, identify inflammation, and better understand the fundamental roles of immune system components to improve both immunoimaging and immunotherapy. Innovative nanomaterials have begun to provide novel opportunities for immunoimaging, in part due to their sensitivity, modularity, capacity for many potentially varied ligands (high avidity), and potential for multifunctionality/multimodality imaging. This review strives to comprehensively summarize the integration of nanotechnology and immunoimaging, and the field's potential for clinical applications.

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18TPA34230113/AHA/American Heart Association-American Stroke Association/United States

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- Royal Society of Chemistry
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Nano-immunoimaging

Affiliations

Nano-immunoimaging

Authors

Affiliations

Abstract

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical