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Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis
A Schwann cell has regenerative capabilities and is an important cell in the peripheral nervous system. This microarray study is part of a bioinformatics study that focuses mainly on Schwann cells. Microarray data provide information on differences between microarray-based and experiment-based gene...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404495/ https://www.ncbi.nlm.nih.gov/pubmed/30762025 http://dx.doi.org/10.4103/1673-5374.250632 |
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author | Shefa, Ulfuara Jung, Junyang |
author_facet | Shefa, Ulfuara Jung, Junyang |
author_sort | Shefa, Ulfuara |
collection | PubMed |
description | A Schwann cell has regenerative capabilities and is an important cell in the peripheral nervous system. This microarray study is part of a bioinformatics study that focuses mainly on Schwann cells. Microarray data provide information on differences between microarray-based and experiment-based gene expression analyses. According to microarray data, several genes exhibit increased expression (fold change) but they are weakly expressed in experimental studies (based on morphology, protein and mRNA levels). In contrast, some genes are weakly expressed in microarray data and highly expressed in experimental studies; such genes may represent future target genes in Schwann cell studies. These studies allow us to learn about additional genes that could be used to achieve targeted results from experimental studies. In the current big data study by retrieving more than 5000 scientific articles from PubMed or NCBI, Google Scholar, and Google, 1016 (up- and downregulated) genes were determined to be related to Schwann cells. However, no experiment was performed in the laboratory; rather, the present study is part of a big data analysis. Our study will contribute to our understanding of Schwann cell biology by aiding in the identification of genes. Based on a comparative analysis of all microarray data, we conclude that the microarray could be a good tool for predicting the expression and intensity of different genes of interest in actual experiments. |
format | Online Article Text |
id | pubmed-6404495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-64044952019-06-01 Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis Shefa, Ulfuara Jung, Junyang Neural Regen Res Research Article A Schwann cell has regenerative capabilities and is an important cell in the peripheral nervous system. This microarray study is part of a bioinformatics study that focuses mainly on Schwann cells. Microarray data provide information on differences between microarray-based and experiment-based gene expression analyses. According to microarray data, several genes exhibit increased expression (fold change) but they are weakly expressed in experimental studies (based on morphology, protein and mRNA levels). In contrast, some genes are weakly expressed in microarray data and highly expressed in experimental studies; such genes may represent future target genes in Schwann cell studies. These studies allow us to learn about additional genes that could be used to achieve targeted results from experimental studies. In the current big data study by retrieving more than 5000 scientific articles from PubMed or NCBI, Google Scholar, and Google, 1016 (up- and downregulated) genes were determined to be related to Schwann cells. However, no experiment was performed in the laboratory; rather, the present study is part of a big data analysis. Our study will contribute to our understanding of Schwann cell biology by aiding in the identification of genes. Based on a comparative analysis of all microarray data, we conclude that the microarray could be a good tool for predicting the expression and intensity of different genes of interest in actual experiments. Medknow Publications & Media Pvt Ltd 2019-06 /pmc/articles/PMC6404495/ /pubmed/30762025 http://dx.doi.org/10.4103/1673-5374.250632 Text en Copyright: © Neural Regeneration Research http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Research Article Shefa, Ulfuara Jung, Junyang Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
title | Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
title_full | Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
title_fullStr | Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
title_full_unstemmed | Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
title_short | Comparative study of microarray and experimental data on Schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
title_sort | comparative study of microarray and experimental data on schwann cells in peripheral nerve degeneration and regeneration: big data analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404495/ https://www.ncbi.nlm.nih.gov/pubmed/30762025 http://dx.doi.org/10.4103/1673-5374.250632 |
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