Comparative analysis of public data sets to identify stemness markers that differentiate liver cancer stem cells

Kirill Borziak; Joseph Finkelstein

doi:10.3233/SHTI210290

Comparative analysis of public data sets to identify stemness markers that differentiate liver cancer stem cells

Kirill Borziak, Joseph Finkelstein

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

Cancer stem cells (CSCs) represent an important field in translational medicine for generating novel cancer treatments. To identify important stemness markers in liver CSCs that potentially explain their resistance to treatment, we analyzed 10865 single-cell RNA-seq samples across 42684 coding and non-coding genes. Our results show that CSCs have significantly increased expression of two Yamanaka factors (Oct4, 2.14X and SOX2, 1.13X) and three stemness factors (CD44, 3.25X; KRT7, 2.2X; SOX9, 1.71X), relative to liver progenitor cells. Our study demonstrates the potential power of harnessing shared big data for driving translational medicine for novel hypothesis generation.

Original language	English
Title of host publication	Public Health and Informatics
Subtitle of host publication	Proceedings of MIE 2021
Publisher	IOS Press
Pages	818-819
Number of pages	2
ISBN (Electronic)	9781643681856
ISBN (Print)	9781643681849
DOIs	https://doi.org/10.3233/SHTI210290
State	Published - 1 Jul 2021

Keywords

Cancer stem cells
Liver cancer
Single-cell RNA-seq
Stemness factors

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10.3233/SHTI210290

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title = "Comparative analysis of public data sets to identify stemness markers that differentiate liver cancer stem cells",

abstract = "Cancer stem cells (CSCs) represent an important field in translational medicine for generating novel cancer treatments. To identify important stemness markers in liver CSCs that potentially explain their resistance to treatment, we analyzed 10865 single-cell RNA-seq samples across 42684 coding and non-coding genes. Our results show that CSCs have significantly increased expression of two Yamanaka factors (Oct4, 2.14X and SOX2, 1.13X) and three stemness factors (CD44, 3.25X; KRT7, 2.2X; SOX9, 1.71X), relative to liver progenitor cells. Our study demonstrates the potential power of harnessing shared big data for driving translational medicine for novel hypothesis generation.",

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T1 - Comparative analysis of public data sets to identify stemness markers that differentiate liver cancer stem cells

AU - Borziak, Kirill

AU - Finkelstein, Joseph

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N2 - Cancer stem cells (CSCs) represent an important field in translational medicine for generating novel cancer treatments. To identify important stemness markers in liver CSCs that potentially explain their resistance to treatment, we analyzed 10865 single-cell RNA-seq samples across 42684 coding and non-coding genes. Our results show that CSCs have significantly increased expression of two Yamanaka factors (Oct4, 2.14X and SOX2, 1.13X) and three stemness factors (CD44, 3.25X; KRT7, 2.2X; SOX9, 1.71X), relative to liver progenitor cells. Our study demonstrates the potential power of harnessing shared big data for driving translational medicine for novel hypothesis generation.

AB - Cancer stem cells (CSCs) represent an important field in translational medicine for generating novel cancer treatments. To identify important stemness markers in liver CSCs that potentially explain their resistance to treatment, we analyzed 10865 single-cell RNA-seq samples across 42684 coding and non-coding genes. Our results show that CSCs have significantly increased expression of two Yamanaka factors (Oct4, 2.14X and SOX2, 1.13X) and three stemness factors (CD44, 3.25X; KRT7, 2.2X; SOX9, 1.71X), relative to liver progenitor cells. Our study demonstrates the potential power of harnessing shared big data for driving translational medicine for novel hypothesis generation.

KW - Cancer stem cells

KW - Liver cancer

KW - Single-cell RNA-seq

KW - Stemness factors

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PB - IOS Press

ER -

Comparative analysis of public data sets to identify stemness markers that differentiate liver cancer stem cells

Abstract

Keywords

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