Literature DB >> 14499499

Analysis of the effect of aging on the response to hypoxia by cDNA microarray.

Hyungsoo Kim1, Dong-Ki Lee, Ji-Woong Choi, Jin-Soo Kim, Sang Chul Park, Hong-Duk Youn.   

Abstract

Little is known about the detail of hypoxia-responsive gene expression patterns in advanced age, even though aging is thought to be partially associated with a decreased response to hypoxia. In the present study, we identified several hypoxia-inducible genes and investigated the effect of aging on hypoxic gene expression profiles using cDNA microarray analysis of young/old human diploid fibroblasts. Of 7458 genes in the microarray, we found that genes involved in angiogenesis, defense against oxidative stress, and transcription regulation are severely impaired in senescent cell, which is consistent with the fact that aged cells have attenuated responses to various stimuli.

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Year:  2003        PMID: 14499499     DOI: 10.1016/s0047-6374(03)00166-0

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  11 in total

1.  Calorie restriction enhances cell adaptation to hypoxia through Sirt1-dependent mitochondrial autophagy in mouse aged kidney.

Authors:  Shinji Kume; Takashi Uzu; Kihachiro Horiike; Masami Chin-Kanasaki; Keiji Isshiki; Shin-Ichi Araki; Toshiro Sugimoto; Masakazu Haneda; Atsunori Kashiwagi; Daisuke Koya
Journal:  J Clin Invest       Date:  2010-03-24       Impact factor: 14.808

2.  Gene expression profile of B 16(F10) murine melanoma cells exposed to hypoxic conditions in vitro.

Authors:  Magdalena Olbryt; Michał Jarzab; Joanna Jazowiecka-Rakus; Krzysztof Simek; Stanisław Szala; Aleksander Sochanik
Journal:  Gene Expr       Date:  2006

3.  Modeling colon adenocarcinomas in vitro a 3D co-culture system induces cancer-relevant pathways upon tumor cell and stromal fibroblast interaction.

Authors:  Helmut Dolznig; Christian Rupp; Christina Puri; Christian Haslinger; Norbert Schweifer; Elisabeth Wieser; Dontscho Kerjaschki; Pilar Garin-Chesa
Journal:  Am J Pathol       Date:  2011-04-30       Impact factor: 4.307

4.  Modeling cancer progression via pathway dependencies.

Authors:  Elena J Edelman; Justin Guinney; Jen-Tsan Chi; Phillip G Febbo; Sayan Mukherjee
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

5.  Identification of multiple hypoxia signatures in neuroblastoma cell lines by l1-l2 regularization and data reduction.

Authors:  Paolo Fardin; Andrea Cornero; Annalisa Barla; Sofia Mosci; Massimo Acquaviva; Lorenzo Rosasco; Claudio Gambini; Alessandro Verri; Luigi Varesio
Journal:  J Biomed Biotechnol       Date:  2010-06-28

Review 6.  Feedback regulation of cholesterol synthesis: sterol-accelerated ubiquitination and degradation of HMG CoA reductase.

Authors:  Russell A DeBose-Boyd
Journal:  Cell Res       Date:  2008-06       Impact factor: 25.617

7.  Acute anemia elicits cognitive dysfunction and evidence of cerebral cellular hypoxia in older rats with systemic hypertension.

Authors:  Min Li; Jessica A Bertout; Sarah J Ratcliffe; Maryellen F Eckenhoff; M Celeste Simon; Thomas F Floyd
Journal:  Anesthesiology       Date:  2010-10       Impact factor: 7.892

Review 8.  Regulation of life span by mitochondrial respiration: the HIF-1 and ROS connection.

Authors:  Ara B Hwang; Seung-Jae Lee
Journal:  Aging (Albany NY)       Date:  2011-03       Impact factor: 5.682

9.  Beaver and Naked Mole Rat Genomes Reveal Common Paths to Longevity.

Authors:  Xuming Zhou; Qianhui Dou; Guangyi Fan; Quanwei Zhang; Maxwell Sanderford; Alaattin Kaya; Jeremy Johnson; Elinor K Karlsson; Xiao Tian; Aleksei Mikhalchenko; Sudhir Kumar; Andrei Seluanov; Zhengdong D Zhang; Vera Gorbunova; Xin Liu; Vadim N Gladyshev
Journal:  Cell Rep       Date:  2020-07-28       Impact factor: 9.995

10.  The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines.

Authors:  Paolo Fardin; Annalisa Barla; Sofia Mosci; Lorenzo Rosasco; Alessandro Verri; Luigi Varesio
Journal:  BMC Genomics       Date:  2009-10-15       Impact factor: 3.969

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