Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach
miRNAs regulate gene expression by binding to cognate mRNAs causing mRNA degradation or translational repression. Mass spectrometry-based proteomic analysis is being widely used to identify miRNA targets. The miR-200b miRNA cluster is often overexpressed in multiple cancer types, but the identity of...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014-09-01
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| Series: | EuPA Open Proteomics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212968514000312 |
| _version_ | 1819089648661561344 |
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| author | Arivusudar Marimuthu Tai-Chung Huang Lakshmi Dhevi N. Selvan Santosh Renuse Raja Sekhar Nirujogi Praveen Kumar Sneha M. Pinto Sudha Rajagopalan Akhilesh Pandey H.C. Harsha Aditi Chatterjee |
| author_facet | Arivusudar Marimuthu Tai-Chung Huang Lakshmi Dhevi N. Selvan Santosh Renuse Raja Sekhar Nirujogi Praveen Kumar Sneha M. Pinto Sudha Rajagopalan Akhilesh Pandey H.C. Harsha Aditi Chatterjee |
| author_sort | Arivusudar Marimuthu |
| collection | DOAJ |
| description | miRNAs regulate gene expression by binding to cognate mRNAs causing mRNA degradation or translational repression. Mass spectrometry-based proteomic analysis is being widely used to identify miRNA targets. The miR-200b miRNA cluster is often overexpressed in multiple cancer types, but the identity of the targets remains elusive. Using SILAC-based analysis, we examined the effects of overexpression of a miR-200b mimic or a control miRNA in fibrosarcoma cells. We identified around 300 potential targets of miR-200b based on a change in the expression of protein levels. We validated a subset of potential targets at the transcript level using quantitative PCR. |
| first_indexed | 2024-12-21T22:11:17Z |
| format | Article |
| id | doaj.art-00382d4a63f34bd889c2c169c3ba895f |
| institution | Directory Open Access Journal |
| issn | 2212-9685 |
| language | English |
| last_indexed | 2024-12-21T22:11:17Z |
| publishDate | 2014-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EuPA Open Proteomics |
| spelling | doaj.art-00382d4a63f34bd889c2c169c3ba895f2022-12-21T18:48:34ZengElsevierEuPA Open Proteomics2212-96852014-09-014C101710.1016/j.euprot.2014.04.006Identification of targets of miR-200b by a SILAC-based quantitative proteomic approachArivusudar Marimuthu0Tai-Chung Huang1Lakshmi Dhevi N. Selvan2Santosh Renuse3Raja Sekhar Nirujogi4Praveen Kumar5Sneha M. Pinto6Sudha Rajagopalan7Akhilesh Pandey8H.C. Harsha9Aditi Chatterjee10Institute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore 21205, MA, USAInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaAgilent Technologies Pvt. Ltd., Bangalore 560048, Karnataka, IndiaMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore 21205, MA, USAInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiaInstitute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, IndiamiRNAs regulate gene expression by binding to cognate mRNAs causing mRNA degradation or translational repression. Mass spectrometry-based proteomic analysis is being widely used to identify miRNA targets. The miR-200b miRNA cluster is often overexpressed in multiple cancer types, but the identity of the targets remains elusive. Using SILAC-based analysis, we examined the effects of overexpression of a miR-200b mimic or a control miRNA in fibrosarcoma cells. We identified around 300 potential targets of miR-200b based on a change in the expression of protein levels. We validated a subset of potential targets at the transcript level using quantitative PCR.http://www.sciencedirect.com/science/article/pii/S2212968514000312Mass spectrometrymiRNA targetsHT-1080 |
| spellingShingle | Arivusudar Marimuthu Tai-Chung Huang Lakshmi Dhevi N. Selvan Santosh Renuse Raja Sekhar Nirujogi Praveen Kumar Sneha M. Pinto Sudha Rajagopalan Akhilesh Pandey H.C. Harsha Aditi Chatterjee Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach EuPA Open Proteomics Mass spectrometry miRNA targets HT-1080 |
| title | Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach |
| title_full | Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach |
| title_fullStr | Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach |
| title_full_unstemmed | Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach |
| title_short | Identification of targets of miR-200b by a SILAC-based quantitative proteomic approach |
| title_sort | identification of targets of mir 200b by a silac based quantitative proteomic approach |
| topic | Mass spectrometry miRNA targets HT-1080 |
| url | http://www.sciencedirect.com/science/article/pii/S2212968514000312 |
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