Systematic analysis of migration factors by MigExpress identifies essential cell migration control genes in non‐small cell lung cancer. Issue 7 (14th May 2021)
- Record Type:
- Journal Article
- Title:
- Systematic analysis of migration factors by MigExpress identifies essential cell migration control genes in non‐small cell lung cancer. Issue 7 (14th May 2021)
- Main Title:
- Systematic analysis of migration factors by MigExpress identifies essential cell migration control genes in non‐small cell lung cancer
- Authors:
- Pal, Jagriti
Becker, Andrea C.
Dhamija, Sonam
Seiler, Jeanette
Abdelkarim, Mahmoud
Sharma, Yogita
Behr, Jürgen
Meng, Chen
Ludwig, Christina
Kuster, Bernhard
Diederichs, Sven - Abstract:
- Abstract : Cell migration is an essential process in health and in disease, including cancer metastasis. A comprehensive inventory of migration factors is nonetheless lacking—in part due to the difficulty in assessing migration using high‐throughput technologies. Hence, there are currently very few screens that systematically reveal factors controlling cell migration. Here, we introduce MigExpress as a platform for the 'identification of Migration control genes by differential Expression'. MigExpress exploits the combination of in‐depth molecular profiling and the robust quantitative analysis of migration capacity in a broad panel of samples and identifies migration‐associated genes by their differential expression in slow‐ versus fast‐migrating cells. We applied MigExpress to investigate non‐small cell lung cancer (NSCLC), which is the most frequent cause of cancer mortality mainly due to metastasis. In 54 NSCLC cell lines, we comprehensively determined mRNA and protein expression. Correlating the transcriptome and proteome profiles with the quantified migration properties led to the discovery and validation of FLNC, DSE, CPA4, TUBB6, and BICC1 as migration control factors in NSCLC cells, which were also negatively correlated with patient survival. Notably, FLNC was the least expressed filamin in NSCLC, but the only one controlling cell migration and correlating with patient survival and metastatic disease stage. In our study, we present MigExpress as a new method for theAbstract : Cell migration is an essential process in health and in disease, including cancer metastasis. A comprehensive inventory of migration factors is nonetheless lacking—in part due to the difficulty in assessing migration using high‐throughput technologies. Hence, there are currently very few screens that systematically reveal factors controlling cell migration. Here, we introduce MigExpress as a platform for the 'identification of Migration control genes by differential Expression'. MigExpress exploits the combination of in‐depth molecular profiling and the robust quantitative analysis of migration capacity in a broad panel of samples and identifies migration‐associated genes by their differential expression in slow‐ versus fast‐migrating cells. We applied MigExpress to investigate non‐small cell lung cancer (NSCLC), which is the most frequent cause of cancer mortality mainly due to metastasis. In 54 NSCLC cell lines, we comprehensively determined mRNA and protein expression. Correlating the transcriptome and proteome profiles with the quantified migration properties led to the discovery and validation of FLNC, DSE, CPA4, TUBB6, and BICC1 as migration control factors in NSCLC cells, which were also negatively correlated with patient survival. Notably, FLNC was the least expressed filamin in NSCLC, but the only one controlling cell migration and correlating with patient survival and metastatic disease stage. In our study, we present MigExpress as a new method for the systematic analysis of migration factors and provide a comprehensive resource of transcriptomic and proteomic data of NSCLC cell lines related to cell migration. Abstract : Cell migration is an essential process in development and disease—prominently in cancer metastasis. We present MigExpress, a high‐throughput approach to systematically identify factors governing cell migration by combining migration quantification with molecular profiling. MigExpress on a panel of 54 NSCLC cell lines discovered differentially expressed mRNAs, circRNAs, and proteins between fast‐ and slow‐migrating cells, which controlled migration. … (more)
- Is Part Of:
- Molecular oncology. Volume 15:Issue 7(2021)
- Journal:
- Molecular oncology
- Issue:
- Volume 15:Issue 7(2021)
- Issue Display:
- Volume 15, Issue 7 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 7
- Issue Sort Value:
- 2021-0015-0007-0000
- Page Start:
- 1797
- Page End:
- 1817
- Publication Date:
- 2021-05-14
- Subjects:
- cancer cell migration -- gene expression profiling -- metastasis -- non‐small cell lung cancer -- proteomics -- quantitative migration analysis -- transcriptomics
Cancer -- Molecular aspects -- Periodicals
616.994005 - Journal URLs:
- http://www.journals.elsevier.com/molecular-oncology/ ↗
http://febs.onlinelibrary.wiley.com/hub/journal/10.1002/(ISSN)1878-0261/issues/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1002/1878-0261.12973 ↗
- Languages:
- English
- ISSNs:
- 1574-7891
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5900.817993
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17441.xml