共查询到20条相似文献,搜索用时 31 毫秒
1.
2.
Regulation of cell proliferation in the retinal pigment epithelium: Differential regulation of the death‐associated protein like‐1 DAPL1 by alternative MITF splice forms
下载免费PDF全文
![点击此处可从《Pigment cell & melanoma research》网站下载免费的PDF全文](/ch/ext_images/free.gif)
Xiaoyin Ma Jiajia Hua Guoxiao Zheng Fang Li Chunbao Rao Huirong Li Jing Wang Li Pan Ling Hou 《Pigment cell & melanoma research》2018,31(3):411-422
3.
4.
5.
Julia C. Cronin John Wunderlich Stacie K. Loftus Todd D. Prickett Xiaomu Wei Katie Ridd Swapna Vemula Allison S. Burrell Neena S. Agrawal Jimmy C. Lin Carolyn E. Banister Phillip Buckhaults Steven A. Rosenberg Boris C. Bastian William J. Pavan Yardena Samuels 《Pigment cell & melanoma research》2009,22(4):435-444
6.
7.
8.
9.
Hypoxia-inducible factor 1{alpha} is a new target of microphthalmia-associated transcription factor (MITF) in melanoma cells
下载免费PDF全文
![点击此处可从《The Journal of cell biology》网站下载免费的PDF全文](/ch/ext_images/free.gif)
Buscà R Berra E Gaggioli C Khaled M Bille K Marchetti B Thyss R Fitsialos G Larribère L Bertolotto C Virolle T Barbry P Pouysségur J Ponzio G Ballotti R 《The Journal of cell biology》2005,170(1):49-59
10.
11.
Biological and functional analysis of statistically significant pathways deregulated in colon cancer by using gene expression profiles
下载免费PDF全文
![点击此处可从《International journal of biological sciences》网站下载免费的PDF全文](/ch/ext_images/free.gif)
Distaso A Abatangelo L Maglietta R Creanza TM Piepoli A Carella M D'Addabbo A Ancona N 《International journal of biological sciences》2008,4(6):368-378
Gene expression profiling offers a great opportunity for studying multi-factor diseases and for understanding the key role of genes in mechanisms which drive a normal cell to a cancer state. Single gene analysis is insufficient to describe the complex perturbations responsible for cancer onset, progression and invasion. A deeper understanding of the mechanisms of tumorigenesis can be reached focusing on deregulation of gene sets or pathways rather than on individual genes. We apply two known and statistically well founded methods for finding pathways and biological processes deregulated in pathological conditions by analyzing gene expression profiles. In particular, we measure the amount of deregulation and assess the statistical significance of predefined pathways belonging to a curated collection (Molecular Signature Database) in a colon cancer data set. We find that pathways strongly involved in different tumors are strictly connected with colon cancer. Moreover, our experimental results show that the study of complex diseases through pathway analysis is able to highlight genes weakly connected to the phenotype which may be difficult to detect by using classical univariate statistics. Our study shows the importance of using gene sets rather than single genes for understanding the main biological processes and pathways involved in colorectal cancer. Our analysis evidences that many of the genes involved in these pathways are strongly associated to colorectal tumorigenesis. In this new perspective, the focus shifts from finding differentially expressed genes to identifying biological processes, cellular functions and pathways perturbed in the phenotypic conditions by analyzing genes co-expressed in a given pathway as a whole, taking into account the possible interactions among them and, more importantly, the correlation of their expression with the phenotypical conditions. 相似文献
12.
13.
Park HY Wu C Yonemoto L Murphy-Smith M Wu H Stachur CM Gilchrest BA 《The Biochemical journal》2006,395(3):571-578
14.
15.
16.
17.
18.
19.
20.