Exploring Key Proteins, Pathways and Oxygen Usage Bias of Proteins and Metabolites in Melanoma

Author:

Zhang Man1,Zhu Chengxu1,Luo Zeyu1ORCID,Liu Junhao1ORCID,Tahir Khan Muhammad23ORCID,Sun Yawen1ORCID,Wei Dong-Qing245,Zhang Yu-Juan1ORCID

Affiliation:

1. Chongqing Key Laboratory of Vector Insects, Chongqing Key Laboratory of Animal Biology, College of Life Science, Chongqing Normal University, Chongqing 401331, P. R. China

2. Zhongjing Research and Industrialization Institute of Chinese Medicine, Zhongguancun Scientific Park, Meixi, Nanyang, Henan 473006, P. R. China

3. Institute of Molecular Biology and Biotechnology (IMBB), The University of Lahore, Lahore, Punjab, Pakistan

4. State Key Laboratory of Microbial Metabolism, Shanghai-Islamabad-Belgrade Joint Innovation Center on Antibacterial Resistances, Joint International Research Laboratory of Metabolic & Developmental Sciences and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, P. R. China

5. Peng Cheng Laboratory, Shenzhen, Guangdong 518055, P. R. China

Abstract

Hypoxia plays a critical role in melanoma development, but the characteristics of elemental oxygen in proteins and adaptation to hypoxia microenvironments are still unidentified. This study aims to explore oxygen contents (OCs) and differentially expressed proteins (DEP). Protein expression data were retrieved from Human Protein Atlas. The DEP in melanoma samples were compared with normal skin cells. We identified 1,969 DEP, and none of the genes coding these proteins were present on chromosome Y. The average oxygen content (AOC) was 7.24% higher in highly expressed proteins than lowly expressed proteins in melanoma and normal skin cells. The AOC is 2.36% higher in the up regulated proteins (URPs) in melanoma. The essential amino acids in the proteins in melanoma cells contributed to increased OC. Functional dissections of the high OCs in URP displayed that some of these proteins are associated with cytoskeleton, cyclins and cell cycle proteins. The URP interactions were generated using a STRING database. Majority of these URPs are associated in expression, exhibiting sufficient interactions with each other. This study provides useful information regarding protein expression in melanoma cells and the molecular mechanism of melanoma using stoichiogenomics.

Funder

National Defense Science and Technology Innovation Fund of the Chinese Academy of Sciences

Natural Science Foundation of Chongqing, China

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Theory and Mathematics,Physical and Theoretical Chemistry,Computer Science Applications

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