Evidence map›Paper›PMID 30832570›Full record

ArticleBMC bioinformatics2019

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

Leijie Li, Dongxue Che, Xiaodan Wang, Peng Zhang, Siddiq Ur Rahman, Jianbang Zhao, Jiantao Yu, Shiheng Tao, Hui Lu, Mingzhi Liao

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Leijie LiCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Dongxue CheCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Xiaodan WangCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Peng ZhangCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Siddiq Ur RahmanCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Jianbang ZhaoCollege of Information Engineering, Northwest A&F University, Yangling, Shaanxi, China.
Jiantao YuCollege of Information Engineering, Northwest A&F University, Yangling, Shaanxi, China.
Shiheng TaoCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China.
Hui LuDepartment of Bioinformatics and Biostatistics, SJTU Yale Joint Center Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
Mingzhi LiaoCollege of Life Sciences, Northwest A&F University, Yangling, Shaanxi, China. liaomingzhi83@163.com.ORCID http://orcid.org/0000-0002-5216-5742

Funding

National Natural Science Foundation of China 61772431Natural Science Basic Research Plan in Shaanxi Province of China 2018JM6039Natural Science Fundamental Research Plan of Shaanxi Province 2016JM6038
6 · The paper itself

Abstract

backgroundCell 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.

resultCellSim 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.

conclusionCellSim 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/ .

Indexed as

Gene Regulatory NetworksSoftwareCell AggregationComputational BiologyGene Expression RegulationHumansStem CellsTranscription FactorsTranscription FactorsCell heterogeneityCell similarityCell type identificationHuman cancer cellsRegulation network

Identifiers

PMID30832570
PMCPMC6399906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.