Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map
We performed gene expression microarray analysis coupled with spherical self-organizing map (sSOM) for artificially developed cancer stem cells (CSCs). The CSCs were developed from human induced pluripotent stem cells (hiPSCs) with the conditioned media of cancer cell lines, whereas the CSCs were in...
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doaj-ff964f62295c4a4dadae7574009a2ab92020-11-25T03:19:58ZengSAGE PublishingCancer Informatics1176-93512016-01-011510.4137/CIN.S39839Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing MapAkimasa Seno0Tomonari Kasai1Masashi Ikeda2Arun Vaidyanath3Junko Masuda4Akifumi Mizutani5Hiroshi Murakami6Tetsuya Ishikawa7Masaharu Seno8Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.Central Animal Division, Fundamental Innovative Oncology Core Center, National Cancer Center Research Institute, Chuo-ku, Tokyo, Japan.Laboratory of Nano-Biotechnology, Department of Medical Bioengineering Science, Graduate School of Natural Science and Technology Okayama University, Kita-ku, Okayama, Japan.We performed gene expression microarray analysis coupled with spherical self-organizing map (sSOM) for artificially developed cancer stem cells (CSCs). The CSCs were developed from human induced pluripotent stem cells (hiPSCs) with the conditioned media of cancer cell lines, whereas the CSCs were induced from primary cell culture of human cancer tissues with defined factors ( OCT3/4, SOX2 , and KLF4 ). These cells commonly expressed human embryonic stem cell (hESC)/hiPSC-specific genes ( POU5F1, SOX2, NANOG, LIN28 , and SALL4 ) at a level equivalent to those of control hiPSC 201B7. The sSOM with unsupervised method demonstrated that the CSCs could be divided into three groups based on their culture conditions and original cancer tissues. Furthermore, with supervised method, sSOM nominated TMED9, RNASE1, NGFR, ST3GAL1, TNS4, BTG2, SLC16A3, CD177, CES1, GDF15, STMN2, FAM20A, NPPB, CD99, MYL7, PRSS23, AHNAK , and LOC152573 genes commonly upregulating among the CSCs compared to hiPSC, suggesting the gene signature of the CSCs.https://doi.org/10.4137/CIN.S39839 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Akimasa Seno Tomonari Kasai Masashi Ikeda Arun Vaidyanath Junko Masuda Akifumi Mizutani Hiroshi Murakami Tetsuya Ishikawa Masaharu Seno |
spellingShingle |
Akimasa Seno Tomonari Kasai Masashi Ikeda Arun Vaidyanath Junko Masuda Akifumi Mizutani Hiroshi Murakami Tetsuya Ishikawa Masaharu Seno Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map Cancer Informatics |
author_facet |
Akimasa Seno Tomonari Kasai Masashi Ikeda Arun Vaidyanath Junko Masuda Akifumi Mizutani Hiroshi Murakami Tetsuya Ishikawa Masaharu Seno |
author_sort |
Akimasa Seno |
title |
Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map |
title_short |
Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map |
title_full |
Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map |
title_fullStr |
Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map |
title_full_unstemmed |
Characterization of Gene Expression Patterns among Artificially Developed Cancer Stem Cells Using Spherical Self-Organizing Map |
title_sort |
characterization of gene expression patterns among artificially developed cancer stem cells using spherical self-organizing map |
publisher |
SAGE Publishing |
series |
Cancer Informatics |
issn |
1176-9351 |
publishDate |
2016-01-01 |
description |
We performed gene expression microarray analysis coupled with spherical self-organizing map (sSOM) for artificially developed cancer stem cells (CSCs). The CSCs were developed from human induced pluripotent stem cells (hiPSCs) with the conditioned media of cancer cell lines, whereas the CSCs were induced from primary cell culture of human cancer tissues with defined factors ( OCT3/4, SOX2 , and KLF4 ). These cells commonly expressed human embryonic stem cell (hESC)/hiPSC-specific genes ( POU5F1, SOX2, NANOG, LIN28 , and SALL4 ) at a level equivalent to those of control hiPSC 201B7. The sSOM with unsupervised method demonstrated that the CSCs could be divided into three groups based on their culture conditions and original cancer tissues. Furthermore, with supervised method, sSOM nominated TMED9, RNASE1, NGFR, ST3GAL1, TNS4, BTG2, SLC16A3, CD177, CES1, GDF15, STMN2, FAM20A, NPPB, CD99, MYL7, PRSS23, AHNAK , and LOC152573 genes commonly upregulating among the CSCs compared to hiPSC, suggesting the gene signature of the CSCs. |
url |
https://doi.org/10.4137/CIN.S39839 |
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