Single-cell profiling approaches to probing tumor heterogeneity.

Khoo, BL; Chaudhuri, PK; Ramalingam, N; Tan, DSW; Lim, CT; Warkiani, ME

Single-cell profiling approaches to probing tumor heterogeneity.

Khoo, BL Chaudhuri, PK Ramalingam, N Tan, DSW Lim, CT Warkiani, ME

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Publisher:: WILEY
Publication Type:: Journal Article
Citation:: Int J Cancer, 2016, 139, (2), pp. 243-255
Issue Date:: 2016-07-15

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Field	Value	Language
dc.contributor.author	Khoo, BL
dc.contributor.author	Chaudhuri, PK
dc.contributor.author	Ramalingam, N
dc.contributor.author	Tan, DSW
dc.contributor.author	Lim, CT
dc.contributor.author	Warkiani, ME
dc.date.accessioned	2022-07-13T05:57:05Z
dc.date.available	2016-01-08
dc.date.available	2022-07-13T05:57:05Z
dc.date.issued	2016-07-15
dc.identifier.citation	Int J Cancer, 2016, 139, (2), pp. 243-255
dc.identifier.issn	0020-7136
dc.identifier.issn	1097-0215
dc.identifier.uri	http://hdl.handle.net/10453/158855
dc.description.abstract	Tumor heterogeneity is a major hindrance in cancer classification, diagnosis and treatment. Recent technological advances have begun to reveal the true extent of its heterogeneity. Single-cell analysis (SCA) is emerging as an important approach to detect variations in morphology, genetic or proteomic expression. In this review, we revisit the issue of inter- and intra-tumor heterogeneity, and list various modes of SCA techniques (cell-based, nucleic acid-based, protein-based, metabolite-based and lipid-based) presently used for cancer characterization. We further discuss the advantages of SCA over pooled cell analysis, as well as the limitations of conventional techniques. Emerging trends, such as high-throughput sequencing, are also mentioned as improved means for cancer profiling. Collectively, these applications have the potential for breakthroughs in cancer treatment.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	WILEY
dc.relation.ispartof	Int J Cancer
dc.relation.isbasedon	10.1002/ijc.30006
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1112 Oncology and Carcinogenesis
dc.subject.classification	Oncology & Carcinogenesis
dc.subject.mesh	Animals
dc.subject.mesh	Gene Expression Profiling
dc.subject.mesh	Gene Expression Regulation, Neoplastic
dc.subject.mesh	Humans
dc.subject.mesh	Metabolomics
dc.subject.mesh	Neoplasms
dc.subject.mesh	Proteomics
dc.subject.mesh	Signal Transduction
dc.subject.mesh	Single-Cell Analysis
dc.subject.mesh	Animals
dc.subject.mesh	Humans
dc.subject.mesh	Neoplasms
dc.subject.mesh	Gene Expression Profiling
dc.subject.mesh	Proteomics
dc.subject.mesh	Signal Transduction
dc.subject.mesh	Gene Expression Regulation, Neoplastic
dc.subject.mesh	Metabolomics
dc.subject.mesh	Single-Cell Analysis
dc.title	Single-cell profiling approaches to probing tumor heterogeneity.
dc.type	Journal Article
utslib.citation.volume	139
utslib.location.activity	United States
utslib.for	1112 Oncology and Carcinogenesis
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - IBMD - Initiative for Biomedical Devices
pubs.organisational-group	/University of Technology Sydney/Centre for Health Technologies (CHT)
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-13T05:57:04Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	139
utslib.citation.issue	2

Abstract:

Tumor heterogeneity is a major hindrance in cancer classification, diagnosis and treatment. Recent technological advances have begun to reveal the true extent of its heterogeneity. Single-cell analysis (SCA) is emerging as an important approach to detect variations in morphology, genetic or proteomic expression. In this review, we revisit the issue of inter- and intra-tumor heterogeneity, and list various modes of SCA techniques (cell-based, nucleic acid-based, protein-based, metabolite-based and lipid-based) presently used for cancer characterization. We further discuss the advantages of SCA over pooled cell analysis, as well as the limitations of conventional techniques. Emerging trends, such as high-throughput sequencing, are also mentioned as improved means for cancer profiling. Collectively, these applications have the potential for breakthroughs in cancer treatment.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/158855