Literature DB >> 22997493

Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network in human hepatocellular carcinoma by systems-theoretic analysis.

Lin Wang1, Juxiang Huang, Minghu Jiang, Hong Lin, Lianxiu Qi, Haizhen Diao.   

Abstract

Studies were done on analysis of biological processes in the same high expression (fold change ≥2) activated PTHLH feedback-mediated cell adhesion gene ontology (GO) network of human hepatocellular carcinoma (HCC) compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection). Activated PTHLH feedback-mediated cell adhesion network consisted of anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, G-protein-coupled receptor protein signaling pathway, intracellular transport, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, and transport in HCC. We proposed activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network. Our hypothesis was verified by the different activated PTHLH feedback-mediated cell adhesion GO network of HCC compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues, or the same compared with the corresponding inhibited GO network of HCC. Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network included BUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP, and VCAN in HCC from GEO dataset using gene regulatory network inference method and our programming.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22997493      PMCID: PMC3444843          DOI: 10.1100/2012/428979

Source DB:  PubMed          Journal:  ScientificWorldJournal        ISSN: 1537-744X


1. Introduction

PTHLH is one of our identified significant high expression (fold change ≥2) genes in human hepatocellular carcinoma (HCC) compared with low expression no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) from GEO data set GSE10140-10141 [1]. Study of PTHLH is presented in some papers, such as Mouse pthlh gene-specific expression profiles distinguish among functional allelic variants in transfected human cancer cells [2]; parathyroid hormone-like protein alternative messenger RNA splicing pathways in human cancer cell lines [3]; parathyroid hormone-like peptide in pancreatic endocrine carcinoma and adenocarcinoma associated with hypercalcemia [4]; parathyroid hormone and parathyroid hormone-like peptide bioactivity in situ biochemistry [5]; parathyroid hormone-like protein polypeptides immunological identification and distribution in normal and malignant tissues [6]; dysregulation of parathyroid hormone-like peptide expression and secretion in a keratinocyte model of tumor progression [7]; all major lung cancer cell types produce parathyroid hormone-like protein [8]; parathyroid hormone-like peptide in normal and neoplastic mesothelial cells [9]. Yet the high expression activated PTHLH feedback-mediated cell adhesion mechanism in HCC is not clear and remains to be elucidated. In this study, biological processes and occurrence numbers of the same activated high expression (fold change ≥2) PTHLH feedback-mediated cell adhesion GO network in HCC were identified and computed compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection), the different compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues, and the same compared with the corresponding inhibited GO network of HCC, respectively. Simultaneous occurrence of biological processes was identified between the same activated PTHLH feedback-mediated cell adhesion GO network of HCC (compared with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues) and the different (compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues), or the same (compared with the corresponding inhibited GO network of HCC) for putting forward hypothesis of activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network. Activated PTHLH feedback-mediated cell adhesion molecular network and numbers in HCC were extracted and computed from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues. PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion molecular relationship in HCC was identified including different molecules but same GO term and same molecule but different GO terms from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues.

2. Materials and Methods

Microarray 6,144 genes were used for analyzing activated PTHLH feedback-mediated cell adhesion mechanism of HCC based on GEO data set GSE10140-10141 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE10140, http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE10141). The raw microarray data was preprocessed by log base 2. 225 significant high expression (fold change ≥2) molecules in HCC compared with no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection) were identified using significant analysis of microarrays (SAM) (http://www-stat.stanford.edu/~tibs/SAM/) [10]. We selected two classes paired and minimum fold change ≥2 under the false-discovery rate was 0%. Activated PTHLH feedback-mediated cell adhesion mechanism of HCC was analyzed by using Molecule Annotation System, MAS (CapitalBio Corporation, Beijing, China; http://bioinfo.capitalbio.com/mas3/). The primary databases of MAS integrated various well-known biological resources, such as Gene Ontology (http://www.geneontology.org/), KEGG (http://www.genome.jp/kegg/), BioCarta (http://www.biocarta.com/), GenMapp (http://www.genmapp.org/), HPRD (http://www.hprd.org/), MINT (http://mint.bio.uniroma2.it/mint/Welcome.do), BIND (http://www.blueprint.org/), Intact (http://www.ebi.ac.uk/intact/), UniGene (http://www.ncbi.nlm.nih.gov/unigene), OMIM (http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=OMIM), and disease (http://bioinfo.capitalbio.com/mas3/). Biological processes and occurrence numbers of the same activated high expression (fold change ≥2) PTHLH feedback-mediated cell adhesion GO network in HCC were identified and computed compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection), the different compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues, and the same compared with the corresponding inhibited GO network of HCC by our programming, respectively. Simultaneous occurrence of biological processes was identified between the same activated PTHLH feedback-mediated cell adhesion GO network of HCC (compared with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues) and the different (compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues), or the same (compared with the corresponding inhibited GO network of HCC) for putting forward hypothesis of activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network by our programming, respectively. Activated PTHLH feedback-mediated cell adhesion molecular network and numbers in HCC were extracted and computed from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues by our programming, respectively. At last, PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion molecular relationship in HCC was identified including different molecules but same GO term and same molecule but different GO terms from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues, and constructed network by GRNInfer [11] and our articles [12-25] and illustrated by GVedit tool.

3. Results

Biological processes and occurrence numbers of the same activated high expression (fold change ≥2) PTHLH feedback-mediated cell adhesion GO network in HCC were identified and computed compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection), the different compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues, and the same compared with the corresponding inhibited GO network of HCC, respectively. The same biological processes of activated PTHLH feedback-mediated cell adhesion GO network in HCC included anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, endothelial cell migration, G-protein-coupled receptor protein signaling pathway, G-protein signaling, intracellular transport, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, protein amino acid phosphorylation, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, and transport compared with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues. The different biological processes of activated PTHLH feedback-mediated cell adhesion GO network in HCC contained integrin-mediated signaling pathway, intracellular transport, microtubule cytoskeleton organization and biogenesis, regulation of cell growth, regulation of cyclin-dependent protein kinase activity compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues. The same biological processes of activated PTHLH feedback-mediated cell adhesion GO network in HCC included anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, DNA repair, G-protein-coupled receptor protein signaling pathway, integrin-mediated signaling pathway, metabolism, nucleotide and nucleic acid metabolism, oxidation reduction, phosphoinositide-mediated signaling, positive regulation of transcription, protein modification, proteolysis, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, and transcription, transport compared with the corresponding inhibited GO network of HCC, as shown in Table 1.
Table 1

(a) Biological processes and occurrence numbers of the same activated high expression (fold change ≥2) PTHLH feedback-mediated cell adhesion GO network in HCC compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection), (b) the different compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues, and (c) the same compared with the corresponding inhibited GO network of HCC by our programming.

(a) Biological process and occurrence number of GO term
Anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism5
Cell adhesion8
Cell differentiation2
Cell-cell signaling5
Endothelial cell migration2
G-protein-coupled receptor protein signaling pathway4
G-protein signaling2
Intracellular transport2
metabolism4
Phosphoinositide-mediated signaling4
Positive regulation of transcription3
Protein amino acid phosphorylation8
Regulation of cyclin-dependent protein kinase activity8
Regulation of transcription8
Signal transduction10
Transcription8
Transport2

(b) Biological process and occurrence number of GO term

Integrin-mediated signaling pathway2
Intracellular transport2
Microtubule cytoskeleton organization and biogenesis2
Regulation of cell growth2
Regulation of cyclin-dependent protein kinase activity8

(c) Biological process and occurrence number of GO term

Anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism5
Cell adhesion8
Cell differentiation2
Cell-cell signaling5
DNA repair2
G-protein-coupled receptor protein signaling pathway4
Integrin-mediated signaling pathway2
Metabolism4
Nucleotide and nucleic acid metabolism2
Oxidation reduction5
Phosphoinositide-mediated signaling4
Positive regulation of transcription3
Protein modification2
Proteolysis5
Regulation of cyclin-dependent protein kinase activity8
Regulation of transcription8
Signal transduction10
Transcription8
Transport2
Activated PTHLH feedback-mediated cell adhesion molecular network and numbers in HCC were extracted and computed from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues. Our result showed that PTHLH feedback-mediated cell adhesion molecular network consisted of BUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP, VCAN, CCNA2, CDC6, CDKN2C, and ENAH in HCC, as shown in Table 2.
Table 2

Activated PTHLH feedback-mediated cell adhesion molecular network and numbers in HCC from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues by our programming.

Molecular name and number
BUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP, VCAN, CCNA2, CDC6, CDKN2C, ENAH 15

4. Discussion

Our aim is to study novel high expression-activated PTHLH feedback-mediated cell adhesion mechanism in HCC. In this study, biological processes and occurrence numbers of the same activated high expression (fold change ≥2) PTHLH feedback-mediated cell adhesion GO network in HCC were identified and computed compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection), the different compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues, and the same compared with the corresponding inhibited GO network of HCC, respectively (Table 1). Simultaneous occurrence of biological processes was identified between the same activated PTHLH feedback-mediated cell adhesion GO network of HCC (compared with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues) and the different (compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues), or the same (compared with the corresponding inhibited GO network of HCC) for putting forward hypothesis of activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network, respectively. Simultaneous occurrence of biological processes consisted of intracellular transport, regulation of cyclin-dependent protein kinase activity between the same activated PTHLH feedback-mediated cell adhesion GO network of HCC (compared with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues) and the different (compared with the corresponding inhibited PTHLH feedback-mediated cell adhesion GO network of no-tumor hepatitis/cirrhotic tissues). Simultaneous occurrence of biological processes included anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, G-protein-coupled receptor protein signaling pathway, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, transport between the same activated PTHLH feedback-mediated cell adhesion GO network of HCC (compared with the corresponding activated GO network of no-tumor hepatitis/cirrhotic tissues), and the same (compared with the corresponding inhibited GO network of HCC). The studies of phosphoinositide with adhesion are presented as follows. Phosphoinositide lipid phosphatase SHIP1 and PTEN coordinate to regulate cell migration and adhesion [26], TAPP2 links phosphoinositide 3-kinase signaling to B-cell adhesion through interaction with the cytoskeletal protein utrophin: expression of a novel cell adhesion-promoting complex in B-cell leukemia [27], neuregulin-1 regulates cell adhesion via an ErbB2/phosphoinositide-3 kinase/Akt-dependent pathway: potential implications for schizophrenia and cancer [28], stromal cell-derived factor-1alpha stimulates tyrosine phosphorylation of multiple focal adhesion proteins and induces migration of hematopoietic progenitor cells: roles of phosphoinositide-3 kinase and protein kinase C [29], and functional association of platelet endothelial cell adhesion molecule-1 and phosphoinositide 3-kinase in human neutrophils [30]. Therefore, we proposed activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network in HCC. Activated PTHLH feedback-mediated cell adhesion molecular network and numbers in HCC were extracted and computed from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues (Table 2). PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion molecular relationship in HCC was identified including different molecules but same GO term and same molecule but different GO terms from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues. Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal network included BUB1B, GNG10, PTHR2, GNAZ, PTHR2, BUB1B, RFC4, and UBE2C and activated PTHLH feedback cell adhesion network NRXN3, BAP1, NRXN3, PVRL2, TROAP, and VCAN in HCC, as shown in Figures 1 and 2.
Figure 1

Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal network construction including different molecules but same GO term and same molecule but different GO terms in HCC from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues by GRNInfer and our programming.

Figure 2

Activated PTHLH feedback cell adhesion network construction including different molecules but same GO term and same molecule but different GO terms in HCC from the same activated PTHLH GO-molecular network of HCC compared with the corresponding activated GO-molecular network of no-tumor hepatitis/cirrhotic tissues by GRNInfer and our programming.

In summary, studies were done on analysis of biological processes in the same high expression (fold change ≥2) activated PTHLH feedback-mediated cell adhesion GO network of HCC compared with the corresponding low expression activated GO network of no-tumor hepatitis/cirrhotic tissues (HBV or HCV infection). Activated PTHLH feedback-mediated cell adhesion network consisted of anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolism, cell adhesion, cell differentiation, cell-cell signaling, G-protein-coupled receptor protein signaling pathway, intracellular transport, metabolism, phosphoinositide-mediated signaling, positive regulation of transcription, regulation of cyclin-dependent protein kinase activity, regulation of transcription, signal transduction, transcription, and transport in HCC. We proposed activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network. Our hypothesis was verified by the different activated PTHLH feedback-mediated cell adhesion GO network of HCC compared with the corresponding inhibited GO network of no-tumor hepatitis/cirrhotic tissues, or the same compared with the corresponding inhibited GO network of HCC. Activated PTHLH coupling feedback phosphoinositide to G-protein receptor signal-induced cell adhesion network included BUB1B, GNG10, PTHR2, GNAZ, RFC4, UBE2C, NRXN3, BAP1, PVRL2, TROAP, and VCAN in HCC from GEO data set using gene regulatory network inference method and our programming.
  27 in total

1.  Survivin (BIRC5) cell cycle computational network in human no-tumor hepatitis/cirrhosis and hepatocellular carcinoma transformation.

Authors:  Lin Wang; Juxiang Huang; Minghu Jiang; Lingjun Sun
Journal:  J Cell Biochem       Date:  2011-05       Impact factor: 4.429

2.  Cyclin-dependent kinase inhibitor 3 (CDKN3) novel cell cycle computational network between human non-malignancy associated hepatitis/cirrhosis and hepatocellular carcinoma (HCC) transformation.

Authors:  L Wang; L Sun; J Huang; M Jiang
Journal:  Cell Prolif       Date:  2011-06       Impact factor: 6.831

3.  Stromal cell-derived factor-1alpha stimulates tyrosine phosphorylation of multiple focal adhesion proteins and induces migration of hematopoietic progenitor cells: roles of phosphoinositide-3 kinase and protein kinase C.

Authors:  J F Wang; I W Park; J E Groopman
Journal:  Blood       Date:  2000-04-15       Impact factor: 22.113

4.  Secreted phosphoprotein 1 upstream invasive network construction and analysis of lung adenocarcinoma compared with human normal adjacent tissues by integrative biocomputation.

Authors:  Ying Sun; Lin Wang; Minghu Jiang; Juxiang Huang; Zhenqiu Liu; Stefan Wolfl
Journal:  Cell Biochem Biophys       Date:  2010-04       Impact factor: 2.194

5.  All major lung cancer cell types produce parathyroid hormone-like protein: heterogeneity assessed by high performance liquid chromatography.

Authors:  D W Brandt; D W Burton; A F Gazdar; H E Oie; L J Deftos
Journal:  Endocrinology       Date:  1991-11       Impact factor: 4.736

6.  Specific gene expression profiles distinguish among functional allelic variants of the mouse Pthlh gene in transfected human cancer cells.

Authors:  R Gianni-Barrera; M Gariboldi; L De Cecco; G Manenti; T A Dragani
Journal:  Oncogene       Date:  2006-03-20       Impact factor: 9.867

7.  Gene expression in fixed tissues and outcome in hepatocellular carcinoma.

Authors:  Yujin Hoshida; Augusto Villanueva; Masahiro Kobayashi; Judit Peix; Derek Y Chiang; Amy Camargo; Supriya Gupta; Jamie Moore; Matthew J Wrobel; Jim Lerner; Michael Reich; Jennifer A Chan; Jonathan N Glickman; Kenji Ikeda; Masaji Hashimoto; Goro Watanabe; Maria G Daidone; Sasan Roayaie; Myron Schwartz; Swan Thung; Helga B Salvesen; Stacey Gabriel; Vincenzo Mazzaferro; Jordi Bruix; Scott L Friedman; Hiromitsu Kumada; Josep M Llovet; Todd R Golub
Journal:  N Engl J Med       Date:  2008-10-15       Impact factor: 91.245

8.  Dysregulation of parathyroid hormone-like peptide expression and secretion in a keratinocyte model of tumor progression.

Authors:  J Henderson; M Sebag; J Rhim; D Goltzman; R Kremer
Journal:  Cancer Res       Date:  1991-12-15       Impact factor: 12.701

9.  TNFRSF11B computational development network construction and analysis between frontal cortex of HIV encephalitis (HIVE) and HIVE-control patients.

Authors:  Ju X Huang; L Wang; Ming H Jiang
Journal:  J Inflamm (Lond)       Date:  2010-09-30       Impact factor: 4.981

10.  Neuregulin-1 regulates cell adhesion via an ErbB2/phosphoinositide-3 kinase/Akt-dependent pathway: potential implications for schizophrenia and cancer.

Authors:  Christopher G Kanakry; Zhen Li; Yoko Nakai; Yoshitatsu Sei; Daniel R Weinberger
Journal:  PLoS One       Date:  2007-12-26       Impact factor: 3.240

View more
  8 in total

1.  Low BIK outside-inside-out interactive inflammation immune-induced transcription-dependent apoptosis through FUT3-PMM2-SQSTM1-SFN-ZNF384.

Authors:  Juxiang Huang; Lin Wang; Minghu Jiang; Qingchun Chen; Xiaoyu Zhang; Yangming Wang; Zhenfu Jiang; Zhongjie Zhang
Journal:  Immunol Res       Date:  2016-04       Impact factor: 2.829

2.  Liver cancer-related gene CYP2E1 expression in HBV transgenic mice with acute liver injury.

Authors:  Chun Zhang; Qin Wei; Tao Jiang; Xi Shou; Zhi-Qiang Li; Hao Wen
Journal:  Tumour Biol       Date:  2013-12-08

3.  Low glucose transporter SLC2A5-inhibited human normal adjacent lung adenocarcinoma cytoplasmic pro-B cell development mechanism network.

Authors:  Jingwen You; Lin Wang; Juxiang Huang; Minghu Jiang; Qingchun Chen; Yangming Wang; Zhenfu Jiang
Journal:  Mol Cell Biochem       Date:  2014-10-18       Impact factor: 3.396

4.  High EGFR_1 Inside-Out Activated Inflammation-Induced Motility through SLC2A1-CCNB2-HMMR-KIF11-NUSAP1-PRC1-UBE2C.

Authors:  Huilei Zhou; Lin Wang; Juxiang Huang; Minghu Jiang; Xiaoyu Zhang; Liyuan Zhang; Yangming Wang; Zhenfu Jiang; Zhongjie Zhang
Journal:  J Cancer       Date:  2015-04-05       Impact factor: 4.207

5.  Identification of Key Pathways and Genes in the Dynamic Progression of HCC Based on WGCNA.

Authors:  Li Yin; Zhihui Cai; Baoan Zhu; Cunshuan Xu
Journal:  Genes (Basel)       Date:  2018-02-14       Impact factor: 4.096

6.  Examining the key genes and pathways in hepatocellular carcinoma development from hepatitis B virus‑positive cirrhosis.

Authors:  Qi-Feng Chen; Jin-Guo Xia; Wang Li; Lu-Jun Shen; Tao Huang; Peihong Wu
Journal:  Mol Med Rep       Date:  2018-09-19       Impact factor: 2.952

7.  The Upregulation of Trophinin-Associated Protein (TROAP) Predicts a Poor Prognosis in Hepatocellular Carcinoma.

Authors:  Hao Hu; Liang Xu; Yan Chen; Shao-Ju Luo; Ying-Zi Wu; Shi-Hua Xu; Meng-Ting Liu; Fen Lin; Yan Mei; Qin Yang; Yuan-Yuan Qiang; You-Wu Lin; Yuan-Jiang Deng; Tong Lin; Yong-Qiang Sha; Bi-Jun Huang; Shi-Jun Zhang
Journal:  J Cancer       Date:  2019-01-29       Impact factor: 4.207

8.  Comprehensive RNA Sequencing in Adenoma-Cancer Transition Identified Predictive Biomarkers and Therapeutic Targets of Human CRC.

Authors:  Mingzhe Zhu; Yanqi Dang; Zhenhua Yang; Yang Liu; Li Zhang; Yangxian Xu; Wenjun Zhou; Guang Ji
Journal:  Mol Ther Nucleic Acids       Date:  2020-02-04       Impact factor: 8.886

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.