Single Cell Spatial Biology for Precision Cancer Medicine

Andrew J. Gentles; Ajit J. Nirmal; Laura M. Heiser; Emma Lundberg; Aaron M. Newman

doi:10.1142/9789811270611_0052

Single Cell Spatial Biology for Precision Cancer Medicine

Andrew J. Gentles, Ajit J. Nirmal, Laura M. Heiser, Emma Lundberg, Aaron M. Newman

Center for Spatial Systems Biomedicine

Research output: Contribution to journal › Conference article › peer-review

Abstract

In cancer, complex ecosystems of interacting cell types play fundamental roles in tumor development, progression, and response to therapy. However, the cellular organization, community structure, and spatially defined microenvironments of human tumors remain poorly understood. With the emergence of new technologies for high-throughput spatial profiling of complex tissue specimens, it is now possible to identify clinically significant spatial features with high granularity. In this PSB workshop, we will highlight recent advances in this area and explore how single cell spatial profiling can advance precision cancer medicine.

Original language	English (US)
Pages (from-to)	549-553
Number of pages	5
Journal	Pacific Symposium on Biocomputing
Issue number	2023
DOIs	https://doi.org/10.1142/9789811270611_0052
State	Published - 2023
Event	28th Pacific Symposium on Biocomputing, PSB 2023 - Kohala Coast, United States Duration: Jan 3 2023 → Jan 7 2023

Keywords

artificial intelligence
cancer biology
machine learning
precision medicine
Spatial biology
spatial transcriptomics

ASJC Scopus subject areas

Medicine(all)

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10.1142/9789811270611_0052

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title = "Single Cell Spatial Biology for Precision Cancer Medicine",

abstract = "In cancer, complex ecosystems of interacting cell types play fundamental roles in tumor development, progression, and response to therapy. However, the cellular organization, community structure, and spatially defined microenvironments of human tumors remain poorly understood. With the emergence of new technologies for high-throughput spatial profiling of complex tissue specimens, it is now possible to identify clinically significant spatial features with high granularity. In this PSB workshop, we will highlight recent advances in this area and explore how single cell spatial profiling can advance precision cancer medicine.",

keywords = "artificial intelligence, cancer biology, machine learning, precision medicine, Spatial biology, spatial transcriptomics",

author = "Gentles, {Andrew J.} and Nirmal, {Ajit J.} and Heiser, {Laura M.} and Emma Lundberg and Newman, {Aaron M.}",

note = "Publisher Copyright: {\textcopyright} 2022 The Authors.; 28th Pacific Symposium on Biocomputing, PSB 2023 ; Conference date: 03-01-2023 Through 07-01-2023",

year = "2023",

doi = "10.1142/9789811270611_0052",

language = "English (US)",

pages = "549--553",

journal = "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing",

issn = "2335-6936",

number = "2023",

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TY - JOUR

T1 - Single Cell Spatial Biology for Precision Cancer Medicine

AU - Gentles, Andrew J.

AU - Nirmal, Ajit J.

AU - Heiser, Laura M.

AU - Lundberg, Emma

AU - Newman, Aaron M.

PY - 2023

Y1 - 2023

N2 - In cancer, complex ecosystems of interacting cell types play fundamental roles in tumor development, progression, and response to therapy. However, the cellular organization, community structure, and spatially defined microenvironments of human tumors remain poorly understood. With the emergence of new technologies for high-throughput spatial profiling of complex tissue specimens, it is now possible to identify clinically significant spatial features with high granularity. In this PSB workshop, we will highlight recent advances in this area and explore how single cell spatial profiling can advance precision cancer medicine.

AB - In cancer, complex ecosystems of interacting cell types play fundamental roles in tumor development, progression, and response to therapy. However, the cellular organization, community structure, and spatially defined microenvironments of human tumors remain poorly understood. With the emergence of new technologies for high-throughput spatial profiling of complex tissue specimens, it is now possible to identify clinically significant spatial features with high granularity. In this PSB workshop, we will highlight recent advances in this area and explore how single cell spatial profiling can advance precision cancer medicine.

KW - artificial intelligence

KW - cancer biology

KW - machine learning

KW - precision medicine

KW - Spatial biology

KW - spatial transcriptomics

UR - http://www.scopus.com/inward/record.url?scp=85144328540&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85144328540&partnerID=8YFLogxK

U2 - 10.1142/9789811270611_0052

DO - 10.1142/9789811270611_0052

M3 - Conference article

C2 - 36541010

AN - SCOPUS:85144328540

SP - 549

EP - 553

JO - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

JF - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing

SN - 2335-6936

IS - 2023

T2 - 28th Pacific Symposium on Biocomputing, PSB 2023

Y2 - 3 January 2023 through 7 January 2023

ER -

Single Cell Spatial Biology for Precision Cancer Medicine

Abstract

Keywords

ASJC Scopus subject areas

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