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Identification of differentially expressed miRNAs between SW480 and SW620 spheroid cultures [miRNA]

ABSTRACT: The colorectal cancer (CRC) cell line pair SW480/SW620 is an accepted model to study CRC progression and metastasis formation. Studying miRNA expression differences might allow to uncover molecular mechanisms that underlie metastasis initiation Both cell lines are derived from the same patient, but at different stages of the disease. They might show differences in tumor-initiating cell (TIC) potential.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE89522 | GEO | 2018/04/12

REPOSITORIES: GEO

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Identification of differentially expressed genes between SW480 and SW620 spheroid cultures [mRNA]

Project description:The colorectal cancer (CRC) cell line pair SW480/SW620 is an accepted model to study CRC progression and metastasis formation. Studying gene expression differences might allow to uncover molecular mechanisms that underlie metastasis initiation Both cell lines are derived from the same patient, but at different stages of the disease. They might show differences in tumor-initiating cell (TIC) potential.

2018-04-12 | GSE89523 | GEO

MicroRNA expression profile between human colorectal cancer SW480 and SW620 cell line

Project description:Two isogenic human colorectal cancer cell lines (primary SW480 cell line and its lymph node metastatic variant SW620 cell line),as an in vitro metastatic model. We have demonstrated that SW620 cell line possesses high metastasis potential and SW480 cell linepossesses low metastatic potential. We want to compare the whole cell microRNAs profiles of two isogenic colorectal cancer cell lines (SW480 and SW620 cell line), to gain an insight into the molecular events of colon cancer metastasis.

2016-08-01 | E-GEOD-72412 | biostudies-arrayexpress

MicroRNA expression profile between human colorectal cancer SW480 and SW620 cell line

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Ribosome-bound lncRNAs between SW620 and SW480

Project description:The differential ribosome-bound lncRNAs between SW620 and SW480 were investigated by RNA-seq.

2020-05-26 | GSE139407 | GEO

TET2 binding protein of human colon cancer cell SW480-SW620

Project description:This project was aimed to identify proteins interatcted with TET2 and the differences between SW480 and SW620.

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Bulk Transcriptome Profiling of SW480 and SW620 tumors from zebrafish xenografts

Project description:Buk transcriptome profiling of SW480 and SW620 tumors dissected from zebrafish xenografts at 2dpi.

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Ribosome-bound lncRNAs between SW620 and SW480

Project description:Ribosome-bound lncRNAs between SW620 and SW480

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Identification of differentially expressed miRNAs between SW480 and SW620 spheroid cultures

Project description:Identification of differentially expressed miRNAs between SW480 and SW620 spheroid cultures

| PRJNA352464 | ENA

24h time-course microarray study of SW480 and SW620 cells

Project description:A 24h time-course array study was performed to analyse the different circadian phenotypes of SW480 and SW620 cells, a cell line from a primary tumor and a metastatic cell line from the same patient. Samples were taken every three hours for a period of 24h so that 9 time-points could be analysed for each cell line.

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Next Generation Sequencing Facilitates Quantitative Analysis of colorectal cancer cell lines including SW480 and SW620

Project description:Purpose: The goals of this study are to compare the differentially expressed miRNAs between SW480 and SW620. Methods:Total RNA of two samples was used to prepare the miRNA sequencing library.The libraries were denatured as single-stranded DNA molecules, captured on Illumina flow cells, amplified in situ as clusters and finally sequenced for 50 cycles on Illumina NextSeq. Results:We found 72 miRNAs were downregulated on the basis of fold-change less than 0.5. However,total 160 miRNAs were upregulated on the basis of fold-change greater than 2. Conclusions: Our study represents the detailed analysis of SW480 and SW620, generated by RNA-seq technology. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of miRNA content. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

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