Literature DB >> 17934060

Reconstructing signal transduction pathways: challenges and opportunities.

Arnold J Levine1, Wenwei Hu, Zhaohui Feng, German Gil.   

Abstract

In this chapter, we will review how signal transduction pathways have been assembled in the past, bringing us to our present understanding of this area of research. The methods employed have relied heavily upon the genetics of yeast, worms, flies, mice, and humans. The use of second site suppressors and epistasis has permitted the detection of interacting elements and the sequence of genetic activities. Biochemistry has been employed to elucidate metabolic pathways, demonstrate protein complexes, and identify functions of gene products. The tools of molecular biology-knocking concentration of protein products down or up-have been helpful to trace the function of pathways in vivo. The study of disease states has led to the identification of a set of altered genes and helped define a network that is altered and gives rise to the disease. We will also discuss some serious limitations in these approaches. After reviewing how signal transduction pathways are constructed and investigated, we will turn our attention to an example that demonstrates the inter-relationships between pathways and the regulation of a specific set of pathways. We will examine how the p53 pathway in responding to stress shuts down the AKT-1 and mTOR pathways so as to limit the error frequency of cell growth and division during a stressful time where homeostatic mechanisms are required to respond and increase the fidelity of these processes.

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Year:  2007        PMID: 17934060     DOI: 10.1196/annals.1407.018

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  9 in total

1.  Automated refinement and inference of analytical models for metabolic networks.

Authors:  Michael D Schmidt; Ravishankar R Vallabhajosyula; Jerry W Jenkins; Jonathan E Hood; Abhishek S Soni; John P Wikswo; Hod Lipson
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

2.  Exploring the origin of the internal rotational barrier for molecules with one rotatable dihedral angle.

Authors:  Shubin Liu; Niranjan Govind; Lee G Pedersen
Journal:  J Chem Phys       Date:  2008-09-07       Impact factor: 3.488

Review 3.  From Peas to Disease: Modifier Genes, Network Resilience, and the Genetics of Health.

Authors:  Jesse D Riordan; Joseph H Nadeau
Journal:  Am J Hum Genet       Date:  2017-08-03       Impact factor: 11.025

4.  TM6SF2 rs58542926 impacts lipid processing in liver and small intestine.

Authors:  Elizabeth A O'Hare; Rongze Yang; Laura M Yerges-Armstrong; Urmila Sreenivasan; Rebecca McFarland; Carmen C Leitch; Meredith H Wilson; Shilpa Narina; Alexis Gorden; Kathy A Ryan; Alan R Shuldiner; Steve A Farber; G Craig Wood; Christopher D Still; Glenn S Gerhard; Janet D Robishaw; Carole Sztalryd; Norann A Zaghloul
Journal:  Hepatology       Date:  2017-03-22       Impact factor: 17.425

5.  Reconstruction of the yeast protein-protein interaction network involved in nutrient sensing and global metabolic regulation.

Authors:  Subir K Nandy; Paula Jouhten; Jens Nielsen
Journal:  BMC Syst Biol       Date:  2010-05-25

6.  mMAPS: a flow-proteometric technique to analyze protein-protein interactions in individual signaling complexes.

Authors:  Chao-Kai Chou; Heng-Huan Lee; Pei-Hsiang Tsou; Chun-Te Chen; Jung-Mao Hsu; Hirohito Yamaguchi; Ying-Nai Wang; Hong-Jen Lee; Jennifer L Hsu; Jin-Fong Lee; Jun Kameoka; Mien-Chie Hung
Journal:  Sci Signal       Date:  2014-03-04       Impact factor: 8.192

7.  STAT1-dependent expression of energy metabolic pathways links tumour growth and radioresistance to the Warburg effect.

Authors:  Sean P Pitroda; Bassam T Wakim; Ravi F Sood; Mara G Beveridge; Michael A Beckett; Dhara M MacDermed; Ralph R Weichselbaum; Nikolai N Khodarev
Journal:  BMC Med       Date:  2009-11-05       Impact factor: 8.775

8.  COPI complex is a regulator of lipid homeostasis.

Authors:  Mathias Beller; Carole Sztalryd; Noel Southall; Ming Bell; Herbert Jäckle; Douglas S Auld; Brian Oliver
Journal:  PLoS Biol       Date:  2008-11-25       Impact factor: 8.029

9.  An ultra-dense library resource for rapid deconvolution of mutations that cause phenotypes in Escherichia coli.

Authors:  Ralf B Nehring; Franklin Gu; Hsin-Yu Lin; Janet L Gibson; Martin J Blythe; Ray Wilson; María Angélica Bravo Núñez; P J Hastings; Edward J Louis; Ryan L Frisch; James C Hu; Susan M Rosenberg
Journal:  Nucleic Acids Res       Date:  2015-11-17       Impact factor: 16.971

  9 in total

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