Cargando…

Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis

BACKGROUND: Fatty acid synthase (FASN) is highly expressed in various types of cancer and has an important role in carcinogenesis and metastasis. To clarify the mechanisms of FASN in liver cancer invasion and metastasis, the FASN protein interaction network in liver cancer was identified by targeted...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Juan, Tang, Yao, Zou, Xiaoqin, Lu, Yi, She, Sha, Zhang, Wenyue, Ren, Hong, Yang, Yixuan, Hu, Huaidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372886/
https://www.ncbi.nlm.nih.gov/pubmed/32699531
http://dx.doi.org/10.1186/s12935-020-01409-2
_version_ 1783561403064385536
author Huang, Juan
Tang, Yao
Zou, Xiaoqin
Lu, Yi
She, Sha
Zhang, Wenyue
Ren, Hong
Yang, Yixuan
Hu, Huaidong
author_facet Huang, Juan
Tang, Yao
Zou, Xiaoqin
Lu, Yi
She, Sha
Zhang, Wenyue
Ren, Hong
Yang, Yixuan
Hu, Huaidong
author_sort Huang, Juan
collection PubMed
description BACKGROUND: Fatty acid synthase (FASN) is highly expressed in various types of cancer and has an important role in carcinogenesis and metastasis. To clarify the mechanisms of FASN in liver cancer invasion and metastasis, the FASN protein interaction network in liver cancer was identified by targeted proteomic analysis. METHODS: Wound healing and Transwell assays was performed to observe the effect of FASN during migration and invasion in liver cancer. Isobaric tags for relative and absolute quantitation (iTRAQ)-based mass spectrometry were used to identify proteins interacting with FASN in HepG2 cells. Differential expressed proteins were validated by co-immunoprecipitation, western blot analyses and confocal microscopy. Western blot and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were performed to demonstrate the mechanism of FASN regulating metastasis. RESULTS: FASN knockdown inhibited migration and invasion of HepG2 and SMMC7721 cells. A total of, 79 proteins interacting with FASN were identified. Additionally, gene ontology term enrichment analysis indicated that the majority of biological regulation and cellular processes that the FASN-interacting proteins were associated with. Co-precipitation and co-localization of FASN with fascin actin-bundling protein 1 (FSCN1), signal-induced proliferation-associated 1 (SIPA1), spectrin β, non-erythrocytic 1 (SPTBN1) and CD59 were evaluated. Knockdown of FASN in liver cancer reduced the expression of FSCN1, SIPA1, SPTBN1 and CD59. Furthermore, inhibition of FASN, FSCN1 or SPTBN1 expression in liver cancer resulted in alterations of epithelial–mesenchymal transition (EMT)-associated markers E-cadherin, N-cadherin, vimentin and transcription factors, Snail and Twist, at the mRNA level, and changes in matrix metallopeptidase (MMP)-2 and MMP-9 protein expression. CONCLUSION: The results suggested that the FASN-interacting protein network produced by iTRAQ-based proteomic analyses may be involved in regulating invasion and metastasis in liver cancer by influencing EMT and the function of MMPs.
format Online
Article
Text
id pubmed-7372886
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-73728862020-07-21 Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis Huang, Juan Tang, Yao Zou, Xiaoqin Lu, Yi She, Sha Zhang, Wenyue Ren, Hong Yang, Yixuan Hu, Huaidong Cancer Cell Int Primary Research BACKGROUND: Fatty acid synthase (FASN) is highly expressed in various types of cancer and has an important role in carcinogenesis and metastasis. To clarify the mechanisms of FASN in liver cancer invasion and metastasis, the FASN protein interaction network in liver cancer was identified by targeted proteomic analysis. METHODS: Wound healing and Transwell assays was performed to observe the effect of FASN during migration and invasion in liver cancer. Isobaric tags for relative and absolute quantitation (iTRAQ)-based mass spectrometry were used to identify proteins interacting with FASN in HepG2 cells. Differential expressed proteins were validated by co-immunoprecipitation, western blot analyses and confocal microscopy. Western blot and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were performed to demonstrate the mechanism of FASN regulating metastasis. RESULTS: FASN knockdown inhibited migration and invasion of HepG2 and SMMC7721 cells. A total of, 79 proteins interacting with FASN were identified. Additionally, gene ontology term enrichment analysis indicated that the majority of biological regulation and cellular processes that the FASN-interacting proteins were associated with. Co-precipitation and co-localization of FASN with fascin actin-bundling protein 1 (FSCN1), signal-induced proliferation-associated 1 (SIPA1), spectrin β, non-erythrocytic 1 (SPTBN1) and CD59 were evaluated. Knockdown of FASN in liver cancer reduced the expression of FSCN1, SIPA1, SPTBN1 and CD59. Furthermore, inhibition of FASN, FSCN1 or SPTBN1 expression in liver cancer resulted in alterations of epithelial–mesenchymal transition (EMT)-associated markers E-cadherin, N-cadherin, vimentin and transcription factors, Snail and Twist, at the mRNA level, and changes in matrix metallopeptidase (MMP)-2 and MMP-9 protein expression. CONCLUSION: The results suggested that the FASN-interacting protein network produced by iTRAQ-based proteomic analyses may be involved in regulating invasion and metastasis in liver cancer by influencing EMT and the function of MMPs. BioMed Central 2020-07-21 /pmc/articles/PMC7372886/ /pubmed/32699531 http://dx.doi.org/10.1186/s12935-020-01409-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Primary Research
Huang, Juan
Tang, Yao
Zou, Xiaoqin
Lu, Yi
She, Sha
Zhang, Wenyue
Ren, Hong
Yang, Yixuan
Hu, Huaidong
Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
title Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
title_full Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
title_fullStr Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
title_full_unstemmed Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
title_short Identification of the fatty acid synthase interaction network via iTRAQ-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
title_sort identification of the fatty acid synthase interaction network via itraq-based proteomics indicates the potential molecular mechanisms of liver cancer metastasis
topic Primary Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7372886/
https://www.ncbi.nlm.nih.gov/pubmed/32699531
http://dx.doi.org/10.1186/s12935-020-01409-2
work_keys_str_mv AT huangjuan identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT tangyao identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT zouxiaoqin identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT luyi identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT shesha identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT zhangwenyue identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT renhong identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT yangyixuan identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis
AT huhuaidong identificationofthefattyacidsynthaseinteractionnetworkviaitraqbasedproteomicsindicatesthepotentialmolecularmechanismsoflivercancermetastasis