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Single-cell analysis of circulating tumor cells

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Single-cell analysis of circulating tumor cells

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Single-cell analysis of circulating tumor cells

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    C - Kapitola v odborné knize

  • CEP obor

  • OECD FORD obor

    30204 - Oncology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název knihy nebo sborníku

    Tumor Profiling: Methods and Protocols

  • ISBN

    978-1-4939-9002-3

  • Počet stran výsledku

    22

  • Strana od-do

    243-264

  • Počet stran knihy

    268

  • Název nakladatele

    Humana Press Inc.

  • Místo vydání

    New York

  • Kód UT WoS kapitoly