Data article on genes that share similar expression patterns with EEF1 complex proteins in hepatocellular carcinoma

Burcu Biterge Süt

doi:10.1016/j.dib.2020.105162

Data article on genes that share similar expression patterns with EEF1 complex proteins in hepatocellular carcinoma

Burcu Biterge Süt

Omer Halisdemir Universitesi

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Eukaryotic Elongation Factor complex 1 (EEF1) consists of six subunits namely EEF1A1, EEF1A2, EEF1B2, EEF1D, EEF1E1 and EEF1G. Recently we showed that EEF1 complex proteins might play critical roles in cancer [1]. This article provides data on genes that share similar expression patterns with EEF1 complex proteins in cancer by analyzing RNA expression data using GEPIA online tool. Correlation analysis was performed on selected genes in a pairwise manner and the Pearson coefficients were automatically calculated by the GEPIA online tool. These data can be useful for future studies directed towards understanding the mechanisms by which EEF1 complex proteins affect in cancer pathogenesis.

Original language	English
Article number	105162
Journal	Data in Brief
Volume	29
DOIs	https://doi.org/10.1016/j.dib.2020.105162
Publication status	Published - Apr 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020 The Author(s)

Keywords

Cancer
Data mining
EEF1 complex
Gene expression

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.dib.2020.105162

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title = "Data article on genes that share similar expression patterns with EEF1 complex proteins in hepatocellular carcinoma",

abstract = "Eukaryotic Elongation Factor complex 1 (EEF1) consists of six subunits namely EEF1A1, EEF1A2, EEF1B2, EEF1D, EEF1E1 and EEF1G. Recently we showed that EEF1 complex proteins might play critical roles in cancer [1]. This article provides data on genes that share similar expression patterns with EEF1 complex proteins in cancer by analyzing RNA expression data using GEPIA online tool. Correlation analysis was performed on selected genes in a pairwise manner and the Pearson coefficients were automatically calculated by the GEPIA online tool. These data can be useful for future studies directed towards understanding the mechanisms by which EEF1 complex proteins affect in cancer pathogenesis.",

keywords = "Cancer, Data mining, EEF1 complex, Gene expression",

author = "{Biterge S{\"u}t}, Burcu",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s)",

year = "2020",

month = apr,

doi = "10.1016/j.dib.2020.105162",

language = "English",

volume = "29",

journal = "Data in Brief",

issn = "2352-3409",

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TY - JOUR

T1 - Data article on genes that share similar expression patterns with EEF1 complex proteins in hepatocellular carcinoma

AU - Biterge Süt, Burcu

PY - 2020/4

Y1 - 2020/4

N2 - Eukaryotic Elongation Factor complex 1 (EEF1) consists of six subunits namely EEF1A1, EEF1A2, EEF1B2, EEF1D, EEF1E1 and EEF1G. Recently we showed that EEF1 complex proteins might play critical roles in cancer [1]. This article provides data on genes that share similar expression patterns with EEF1 complex proteins in cancer by analyzing RNA expression data using GEPIA online tool. Correlation analysis was performed on selected genes in a pairwise manner and the Pearson coefficients were automatically calculated by the GEPIA online tool. These data can be useful for future studies directed towards understanding the mechanisms by which EEF1 complex proteins affect in cancer pathogenesis.

AB - Eukaryotic Elongation Factor complex 1 (EEF1) consists of six subunits namely EEF1A1, EEF1A2, EEF1B2, EEF1D, EEF1E1 and EEF1G. Recently we showed that EEF1 complex proteins might play critical roles in cancer [1]. This article provides data on genes that share similar expression patterns with EEF1 complex proteins in cancer by analyzing RNA expression data using GEPIA online tool. Correlation analysis was performed on selected genes in a pairwise manner and the Pearson coefficients were automatically calculated by the GEPIA online tool. These data can be useful for future studies directed towards understanding the mechanisms by which EEF1 complex proteins affect in cancer pathogenesis.

KW - Cancer

KW - Data mining

KW - EEF1 complex

KW - Gene expression

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DO - 10.1016/j.dib.2020.105162

M3 - Article

AN - SCOPUS:85078676100

SN - 2352-3409

VL - 29

JO - Data in Brief

JF - Data in Brief

M1 - 105162

ER -

Data article on genes that share similar expression patterns with EEF1 complex proteins in hepatocellular carcinoma

Abstract

Bibliographical note

Keywords

UN SDGs

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