Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path

Dachuan Liu; Cuihong Dai; Dechang Xu

doi:10.1109/BIBMW.2011.6112411

Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path

Dachuan Liu, Cuihong Dai, Dechang Xu^*

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

5 Citations (Scopus)

Abstract

Lupeol is a compound extracted from natural plants, which has an effective and low-toxic anti-cancer function. However, the mechanism of its anticancer function remains unclear. We analyzed the differential expression of miRNA from HELA cells whichwere pretreated with lupeol to investigate the anti-cancer molecular pathways of lupeol. The method of TaqMan MicroRNA Assay was applied in this study. and data were analyzed by means of cluster analysis. Targetscan and RNAfold were performed to analyze the gene sequences. Through system biological analysis, it was found that Lupeol's anti-cancer molecular path in HELA cell model pivotted with ERBB4 and involved in hsa-miR-23b, hsa-miR-200b.

Original language	English
Title of host publication	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Pages	440-445
Number of pages	6
DOIs	https://doi.org/10.1109/BIBMW.2011.6112411
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 - Atlanta, GA, United States Duration: 12 Nov 2011 → 15 Nov 2011

Publication series

Name	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Conference

Conference	2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011
Country/Territory	United States
City	Atlanta, GA
Period	12/11/11 → 15/11/11

Keywords

ERBB4
biochip
cervical cancer
lupeol
miRNA

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/BIBMW.2011.6112411

Cite this

Liu, D., Dai, C., & Xu, D. (2011). Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path. In 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 (pp. 440-445). Article 6112411 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011). https://doi.org/10.1109/BIBMW.2011.6112411

@inproceedings{ba3dd9f240fe45a88254b26be5f1d512,

title = "Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path",

abstract = "Lupeol is a compound extracted from natural plants, which has an effective and low-toxic anti-cancer function. However, the mechanism of its anticancer function remains unclear. We analyzed the differential expression of miRNA from HELA cells whichwere pretreated with lupeol to investigate the anti-cancer molecular pathways of lupeol. The method of TaqMan MicroRNA Assay was applied in this study. and data were analyzed by means of cluster analysis. Targetscan and RNAfold were performed to analyze the gene sequences. Through system biological analysis, it was found that Lupeol's anti-cancer molecular path in HELA cell model pivotted with ERBB4 and involved in hsa-miR-23b, hsa-miR-200b.",

keywords = "ERBB4, biochip, cervical cancer, lupeol, miRNA",

author = "Dachuan Liu and Cuihong Dai and Dechang Xu",

year = "2011",

doi = "10.1109/BIBMW.2011.6112411",

language = "English",

isbn = "9781457716133",

series = "2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011",

pages = "440--445",

booktitle = "2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011",

note = "2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011 ; Conference date: 12-11-2011 Through 15-11-2011",

}

Liu, D, Dai, C & Xu, D 2011, Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path. in 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011., 6112411, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, pp. 440-445, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, Atlanta, GA, United States, 12/11/11. https://doi.org/10.1109/BIBMW.2011.6112411

Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path. / Liu, Dachuan; Dai, Cuihong; Xu, Dechang.
2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011. 2011. p. 440-445 6112411 (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path

AU - Liu, Dachuan

AU - Dai, Cuihong

AU - Xu, Dechang

PY - 2011

Y1 - 2011

N2 - Lupeol is a compound extracted from natural plants, which has an effective and low-toxic anti-cancer function. However, the mechanism of its anticancer function remains unclear. We analyzed the differential expression of miRNA from HELA cells whichwere pretreated with lupeol to investigate the anti-cancer molecular pathways of lupeol. The method of TaqMan MicroRNA Assay was applied in this study. and data were analyzed by means of cluster analysis. Targetscan and RNAfold were performed to analyze the gene sequences. Through system biological analysis, it was found that Lupeol's anti-cancer molecular path in HELA cell model pivotted with ERBB4 and involved in hsa-miR-23b, hsa-miR-200b.

AB - Lupeol is a compound extracted from natural plants, which has an effective and low-toxic anti-cancer function. However, the mechanism of its anticancer function remains unclear. We analyzed the differential expression of miRNA from HELA cells whichwere pretreated with lupeol to investigate the anti-cancer molecular pathways of lupeol. The method of TaqMan MicroRNA Assay was applied in this study. and data were analyzed by means of cluster analysis. Targetscan and RNAfold were performed to analyze the gene sequences. Through system biological analysis, it was found that Lupeol's anti-cancer molecular path in HELA cell model pivotted with ERBB4 and involved in hsa-miR-23b, hsa-miR-200b.

KW - ERBB4

KW - biochip

KW - cervical cancer

KW - lupeol

KW - miRNA

UR - http://www.scopus.com/inward/record.url?scp=84862966392&partnerID=8YFLogxK

U2 - 10.1109/BIBMW.2011.6112411

DO - 10.1109/BIBMW.2011.6112411

M3 - Conference Proceeding

AN - SCOPUS:84862966392

SN - 9781457716133

T3 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

SP - 440

EP - 445

BT - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

T2 - 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011

Y2 - 12 November 2011 through 15 November 2011

ER -

Cluster analysis of MiRNAs microarray data and prediction of lupeol's anti-cancer path

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this