Single-cell analysis of circulating tumor cells
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F19%3A10406833" target="_blank" >RIV/00216208:11140/19:10406833 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-1-4939-9004-7_17" target="_blank" >https://doi.org/10.1007/978-1-4939-9004-7_17</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-1-4939-9004-7_17" target="_blank" >10.1007/978-1-4939-9004-7_17</a>
Alternative languages
Result language
angličtina
Original language name
Single-cell analysis of circulating tumor cells
Original language description
Circulating tumor cells (CTCs) are rare cells that can be found in the peripheral blood of cancer patients. They have been demonstrated to be useful prognostic markers in many cancer types. Within the last decade various methods have been developed to detect rare cells within a liquid biopsy from a cancer patient. These methods have revealed the phenotypic diversity of CTCs and how they can represent the complement of cells that are found in a tumor. Single-cell proteogenomics has emerged as an all-encompassing next-generation technological approach for CTC research. This allows for the deconstruction of cellular heterogeneity, dynamics of metastatic initiation and progression, and response or resistance to therapeutics in the clinical settings. We take advantage of this opportunity to investigate CTC heterogeneity and understand their full potential in precision medicine.The high-definition single-cell analysis (HD-SCA) workflow combines detection of the entire population of CTCs and rare cancer related cells with single-cell genomic analysis and may therefore provide insight into their subpopulations based on molecular as well as morphological data. In this chapter we describe in detail the protocols from isolation of a candidate cell from a microscopy slide, through whole-genome amplification and library preparation, to CNV analysis of identified cells from the HD-SCA workflow. This process may also be applicable to any platform starting with a standard microscopy slide or isolated cell of interest. (C) Springer Science+Business Media, LLC, part of Springer Nature 2019.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
30204 - Oncology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Tumor Profiling: Methods and Protocols
ISBN
978-1-4939-9002-3
Number of pages of the result
22
Pages from-to
243-264
Number of pages of the book
268
Publisher name
Humana Press Inc.
Place of publication
New York
UT code for WoS chapter
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