Literature DB >> 22649262

Opportunities and challenges for nutritional proteomics in cancer prevention.

Donato F Romagnolo1, John A Milner.   

Abstract

Knowledge gaps persist about the efficacy of cancer prevention strategies based on dietary food components. Adaptations to nutrient supply are executed through tuning of multiple protein networks that include transcription factors, histones, modifying enzymes, translation factors, membrane and nuclear receptors, and secreted proteins. However, the simultaneous quantitative and qualitative measurement of all proteins that regulate cancer processes is not practical using traditional protein methodologies. Proteomics offers an attractive opportunity to fill this knowledge gap and unravel the effects of dietary components on protein networks that impinge on cancer. The articles presented in this supplement are from talks proffered in the "Nutrition Proteomics and Cancer Prevention" session at the American Institute for Cancer Research Annual Research Conference on Food, Nutrition, Physical Activity and Cancer held in Washington, DC on October 21 and 22, 2010. Recent advances in MS technologies suggest that studies in nutrition and cancer prevention may benefit from the adoption of proteomic tools to elucidate the impact on biological processes that govern the transition from normal to malignant phenotype; to identify protein changes that determine both positive and negative responses to food components; to assess how protein networks mediate dose-, time-, and tissue-dependent responses to food components; and, finally, for predicting responders and nonresponders. However, both the limited accessibility to proteomic technologies and research funding appear to be hampering the routine adoption of proteomic tools in nutrition and cancer prevention research.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22649262      PMCID: PMC3374671          DOI: 10.3945/jn.111.151803

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  109 in total

Review 1.  Cell-cycle checkpoints and cancer.

Authors:  Michael B Kastan; Jiri Bartek
Journal:  Nature       Date:  2004-11-18       Impact factor: 49.962

2.  Options and considerations when selecting a quantitative proteomics strategy.

Authors:  Bruno Domon; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

Review 3.  Nutrigenomics: the impact of biomics technology on nutrition research.

Authors:  Irène Corthésy-Theulaz; Johan T den Dunnen; Pascal Ferré; Jan M W Geurts; Michael Müller; Nico van Belzen; Ben van Ommen
Journal:  Ann Nutr Metab       Date:  2005-09-21       Impact factor: 3.374

Review 4.  Protein networks in disease.

Authors:  Trey Ideker; Roded Sharan
Journal:  Genome Res       Date:  2008-04       Impact factor: 9.043

5.  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.

Authors:  Jesper V Olsen; Blagoy Blagoev; Florian Gnad; Boris Macek; Chanchal Kumar; Peter Mortensen; Matthias Mann
Journal:  Cell       Date:  2006-11-03       Impact factor: 41.582

6.  Proteomic biomarkers of peripheral blood mononuclear cells obtained from postmenopausal women undergoing an intervention with soy isoflavones.

Authors:  Dagmar Fuchs; Katerina Vafeiadou; Wendy L Hall; Hannelore Daniel; Christine M Williams; Joyce H Schroot; Uwe Wenzel
Journal:  Am J Clin Nutr       Date:  2007-11       Impact factor: 7.045

7.  Functional proteomics of resveratrol-induced colon cancer cell apoptosis: caspase-6-mediated cleavage of lamin A is a major signaling loop.

Authors:  Shao Chin Lee; Jason Chan; Marie-Veronique Clement; Shazib Pervaiz
Journal:  Proteomics       Date:  2006-04       Impact factor: 3.984

8.  Conjugated linoleic acid inhibits cell proliferation through a p53-dependent mechanism: effects on the expression of G1-restriction points in breast and colon cancer cells.

Authors:  Michael Q Kemp; Brandon D Jeffy; Donato F Romagnolo
Journal:  J Nutr       Date:  2003-11       Impact factor: 4.798

9.  Proteomic analysis of butyrate effects and loss of butyrate sensitivity in HT29 colorectal cancer cells.

Authors:  Kim Y C Fung; Tanya Lewanowitsch; Steven T Henderson; Ilka Priebe; Peter Hoffmann; Shaun R McColl; Trevor Lockett; Richard Head; Leah J Cosgrove
Journal:  J Proteome Res       Date:  2009-03       Impact factor: 4.466

10.  Down-regulation of phosphoglucomutase 3 mediates sulforaphane-induced cell death in LNCaP prostate cancer cells.

Authors:  Chan-Hee Lee; Soo-Jin Jeong; Sun-Mi Yun; Ji-Hyun Kim; Hyo-Jung Lee; Kwang Seok Ahn; Suk-Hyun Won; Hyun Seok Kim; Hyo-Jeong Lee; Kyoo-Seok Ahn; Shudong Zhu; Chang-Yan Chen; Sung-Hoon Kim
Journal:  Proteome Sci       Date:  2010-12-16       Impact factor: 2.480

View more
  4 in total

Review 1.  Employing proteomics to understand the effects of nutritional intervention in cancer treatment.

Authors:  Monica M Schroll; Amanda B Hummon
Journal:  Anal Bioanal Chem       Date:  2018-07-04       Impact factor: 4.478

2.  Antioxidant and Antitumor Activity of a Bioactive Polyphenolic Fraction Isolated from the Brewing Process.

Authors:  Marco Tatullo; Grazia Maria Simone; Franco Tarullo; Gianfranco Irlandese; Danila De Vito; Massimo Marrelli; Luigi Santacroce; Tiziana Cocco; Andrea Ballini; Salvatore Scacco
Journal:  Sci Rep       Date:  2016-10-27       Impact factor: 4.379

Review 3.  Molecular nutrition research: the modern way of performing nutritional science.

Authors:  Frode Norheim; Ingrid Merethe Fange Gjelstad; Marit Hjorth; Kathrine J Vinknes; Torgrim M Langleite; Torgeir Holen; Jørgen Jensen; Knut Tomas Dalen; Anette S Karlsen; Anders Kielland; Arild C Rustan; Christian A Drevon
Journal:  Nutrients       Date:  2012-12-03       Impact factor: 5.717

4.  Combined Short-Term Glucose Starvation and Chemotherapy in 3D Colorectal Cancer Cell Culture Decreases 14-3-3 Family Protein Expression and Phenotypic Response to Therapy.

Authors:  Monica M Schroll; Katelyn R Ludwig; Gabriel J LaBonia; Emily L Herring; Amanda B Hummon
Journal:  J Am Soc Mass Spectrom       Date:  2018-07-17       Impact factor: 3.262

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.