Cargando…

CellSim: a novel software to calculate cell similarity and identify their co-regulation networks

BACKGROUND: Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an original cell to target cell type needs the cell similarity a...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Leijie, Che, Dongxue, Wang, Xiaodan, Zhang, Peng, Rahman, Siddiq Ur, Zhao, Jianbang, Yu, Jiantao, Tao, Shiheng, Lu, Hui, Liao, Mingzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399906/
https://www.ncbi.nlm.nih.gov/pubmed/30832570
http://dx.doi.org/10.1186/s12859-019-2699-3
_version_ 1783399838827675648
author Li, Leijie
Che, Dongxue
Wang, Xiaodan
Zhang, Peng
Rahman, Siddiq Ur
Zhao, Jianbang
Yu, Jiantao
Tao, Shiheng
Lu, Hui
Liao, Mingzhi
author_facet Li, Leijie
Che, Dongxue
Wang, Xiaodan
Zhang, Peng
Rahman, Siddiq Ur
Zhao, Jianbang
Yu, Jiantao
Tao, Shiheng
Lu, Hui
Liao, Mingzhi
author_sort Li, Leijie
collection PubMed
description BACKGROUND: Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an original cell to target cell type needs the cell similarity and cell specific regulatory network. The position and function of cells in vivo, can provide some hints about the cell similarity. However, it still needs further clarification based on molecular level studies. RESULT: CellSim is therefore developed to offer a solution for cell similarity calculation and a tool of bioinformatics for researchers. CellSim is a novel tool for the similarity calculation of different cells based on cell ontology and molecular networks in over 2000 different human cell types and presents sharing regulation networks of part cells. CellSim can also calculate cell types by entering a list of genes, including more than 250 human normal tissue specific cell types and 130 cancer cell types. The results are shown in both tables and spider charts which can be preserved easily and freely. CONCLUSION: CellSim aims to provide a computational strategy for cell similarity and the identification of distinct cell types. Stable CellSim releases (Windows, Linux, and Mac OS/X) are available at: www.cellsim.nwsuaflmz.com, and source code is available at: https://github.com/lileijie1992/CellSim/.
format Online
Article
Text
id pubmed-6399906
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63999062019-03-13 CellSim: a novel software to calculate cell similarity and identify their co-regulation networks Li, Leijie Che, Dongxue Wang, Xiaodan Zhang, Peng Rahman, Siddiq Ur Zhao, Jianbang Yu, Jiantao Tao, Shiheng Lu, Hui Liao, Mingzhi BMC Bioinformatics Software BACKGROUND: Cell direct reprogramming technology has been rapidly developed with its low risk of tumor risk and avoidance of ethical issues caused by stem cells, but it is still limited to specific cell types. Direct reprogramming from an original cell to target cell type needs the cell similarity and cell specific regulatory network. The position and function of cells in vivo, can provide some hints about the cell similarity. However, it still needs further clarification based on molecular level studies. RESULT: CellSim is therefore developed to offer a solution for cell similarity calculation and a tool of bioinformatics for researchers. CellSim is a novel tool for the similarity calculation of different cells based on cell ontology and molecular networks in over 2000 different human cell types and presents sharing regulation networks of part cells. CellSim can also calculate cell types by entering a list of genes, including more than 250 human normal tissue specific cell types and 130 cancer cell types. The results are shown in both tables and spider charts which can be preserved easily and freely. CONCLUSION: CellSim aims to provide a computational strategy for cell similarity and the identification of distinct cell types. Stable CellSim releases (Windows, Linux, and Mac OS/X) are available at: www.cellsim.nwsuaflmz.com, and source code is available at: https://github.com/lileijie1992/CellSim/. BioMed Central 2019-03-04 /pmc/articles/PMC6399906/ /pubmed/30832570 http://dx.doi.org/10.1186/s12859-019-2699-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Li, Leijie
Che, Dongxue
Wang, Xiaodan
Zhang, Peng
Rahman, Siddiq Ur
Zhao, Jianbang
Yu, Jiantao
Tao, Shiheng
Lu, Hui
Liao, Mingzhi
CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
title CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
title_full CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
title_fullStr CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
title_full_unstemmed CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
title_short CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
title_sort cellsim: a novel software to calculate cell similarity and identify their co-regulation networks
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399906/
https://www.ncbi.nlm.nih.gov/pubmed/30832570
http://dx.doi.org/10.1186/s12859-019-2699-3
work_keys_str_mv AT lileijie cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT chedongxue cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT wangxiaodan cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT zhangpeng cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT rahmansiddiqur cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT zhaojianbang cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT yujiantao cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT taoshiheng cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT luhui cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks
AT liaomingzhi cellsimanovelsoftwaretocalculatecellsimilarityandidentifytheircoregulationnetworks