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Journal Article 3

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2017 1

2016 1

2014 1

Keywords

bioinformatics analysis 2

bioinformatics 1

colon cancer 1

condylar cartilage 1

hsa-miR-197 1

iTRAQ 1

mechanical loading 1

metastasis-associated gene 1 1

proteomic analysis 1

target genes 1

uterine leiomyomas 1

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The expression mode of hsa-miR-197 in uterine leiomyomas tissue and related bioinformatics analysis

Xu Qing,Fu Ziyi,Wu Xiaoli,Huangfu Yushuang and Ling Jing

Strategic Study of CAE 2014, Volume 16, Issue 5,   Pages 99-104

Abstract:

We performed Real-time PCR to detect the hsa-miR-197 expression levels in uterine leiomyomas tissues and paired normal myometrium separately;online databases including miRbase,UCSC,NCBI are employed to analysis the sequence conservation and genetic characteristics of hsa- miR- 197;miRNA databases such as miRanda,MirTarget2 and TargetScan are chosen to predict hsa- miR- 197 target genes;meanwhile,the intersection genes of these miRNA databases are chosen,and GO and Pathway analysis of these genes are carried out to explore the potential role of hsa-miR-197 playing in regulating the uterine leiomyomas occurrence and development. hsa-miR-197 functions in broad ground and participates in uterine leiomyomas multiple biology progress,which indicates that hsa- miR- 197 could regulate uterine leiomyomas occurrence and development.

Keywords: uterine leiomyomas     hsa-miR-197     bioinformatics analysis     target genes    

Bioinformatic exploration of MTA1-regulated gene networks in colon cancer

Chunxiao Li,Haijuan Wang,Feng Lin,Hui Li,Tao Wen,Haili Qian,Qimin Zhan

Frontiers of Medicine 2016, Volume 10, Issue 2,   Pages 178-182 doi: 10.1007/s11684-016-0442-2

Abstract:

Metastasis-associated gene 1 (MTA1) controls a series of biological processes in tumor progression. Tumor progression is a complex process regulated by a gene network. The global cancer gene regulatory network must be analyzed to determine the position of MTA1 in the molecular network and its cooperative genes by further exploring the biological functions of this gene. We used TCGA data sets and GeneCards database to screen MTA1-related genes. GO and KEGG pathway analyses were conducted with DAVID and gene network analysis via STRING and Cytoscape. Results showed that in the development of colon cancer, MTA1 is linked to certain signal pathways, such as Wnt/Notch/nucleotide excision repair pathways. The findings also suggested that MTA1 demonstrates the closest relationship in a coregulation process with the key molecules AKT1, EP300, CREBBP, SMARCA4, RHOA, and CAD. These results lead MTA1 exploration to an in-depth investigation in different directions, such as Wnt, Notch, and DNA repair.

Keywords: metastasis-associated gene 1     colon cancer     bioinformatics    

iTRAQ-based quantitative proteomic analysis on differentially expressed proteins of rat mandibular condylar cartilage induced by reducing dietary loading

Liting Jiang,Yinyin Xie,Li Wei,Qi Zhou,Ning Li,Xinquan Jiang,Yiming Gao

Frontiers of Medicine 2017, Volume 11, Issue 1,   Pages 97-109 doi: 10.1007/s11684-016-0496-1

Abstract:

As muscle activity during growth is considerably important for mandible quality and morphology, reducing dietary loading directly influences the development and metabolic activity of mandibular condylar cartilage (MCC). However, an overall investigation of changes in the protein composition of MCC has not been fully described in literature. To study the protein expression and putative signaling in vivo, we evaluated the structural changes of MCC and differentially expressed proteins induced by reducing functional loading in rat MCC at developmental stages. Isobaric tag for relative and absolute quantitation-based 2D nano-high performance liquid chromatography (HPLC) and matrix-assisted laser desorption/ionization time-of-flight/ time-of-flight (MALDI-TOF/TOF) technologies were used. Global protein profiling, KEGG and PANTHER pathways, and functional categories were analyzed. Consequently, histological and tartrate-resistant acid phosphatase staining indicated the altered histological structure of condylar cartilage and increased bone remodeling activity in hard-diet group. A total of 805 differentially expressed proteins were then identified. GO analysis revealed a significant number of proteins involved in the metabolic process, cellular process, biological regulation, localization, developmental process, and response to stimulus. KEGG pathway analysis also suggested that these proteins participated in various signaling pathways, including calcium signaling pathway, gap junction, ErbB signaling pathway, and mitogen-activated protein kinase signaling pathway. Collagen types I and II were further validated by immunohistochemical staining and Western blot analysis. Taken together, the present study provides an insight into the molecular mechanism of regulating condylar growth and remodeling induced by reducing dietary loading at the protein level.

Keywords: condylar cartilage     mechanical loading     proteomic analysis     iTRAQ     bioinformatics analysis    

Title Author Date Type Operation

The expression mode of hsa-miR-197 in uterine leiomyomas tissue and related bioinformatics analysis

Xu Qing,Fu Ziyi,Wu Xiaoli,Huangfu Yushuang and Ling Jing

Journal Article

Bioinformatic exploration of MTA1-regulated gene networks in colon cancer

Chunxiao Li,Haijuan Wang,Feng Lin,Hui Li,Tao Wen,Haili Qian,Qimin Zhan

Journal Article

iTRAQ-based quantitative proteomic analysis on differentially expressed proteins of rat mandibular condylar cartilage induced by reducing dietary loading

Liting Jiang,Yinyin Xie,Li Wei,Qi Zhou,Ning Li,Xinquan Jiang,Yiming Gao

Journal Article