Literature DB >> 19900591

Next-generation sequencing in aging research: emerging applications, problems, pitfalls and possible solutions.

João Pedro de Magalhães1, Caleb E Finch, Georges Janssens.   

Abstract

Recent technological advances that allow faster and cheaper DNA sequencing are now driving biological and medical research. In this review, we provide an overview of state-of-the-art next-generation sequencing (NGS) platforms and their applications, including in genome sequencing and resequencing, transcriptional profiling (RNA-Seq) and high-throughput survey of DNA-protein interactions (ChIP-Seq) and of the epigenome. Particularly, we focus on how new methods made possible by NGS can help unravel the biological and genetic mechanisms of aging, longevity and age-related diseases. In the same way, however, NGS platforms open discovery not available before, they also give rise to new challenges, in particular in processing, analyzing and interpreting the data. Bioinformatics and software issues plus statistical difficulties in genome-wide studies are discussed, as well as the use of targeted sequencing to decrease costs and facilitate statistical analyses. Lastly, we discuss a number of methods to gather biological insights from massive amounts of data, such as functional enrichment, transcriptional regulation and network analyses. Although in the fast-moving field of NGS new platforms will soon take center stage, the approaches made possible by NGS will be at the basis of molecular biology, genetics and systems biology for years to come, making them instrumental for research on aging. 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19900591      PMCID: PMC2878865          DOI: 10.1016/j.arr.2009.10.006

Source DB:  PubMed          Journal:  Ageing Res Rev        ISSN: 1568-1637            Impact factor:   10.895


  67 in total

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3.  A global view of gene activity and alternative splicing by deep sequencing of the human transcriptome.

Authors:  Marc Sultan; Marcel H Schulz; Hugues Richard; Alon Magen; Andreas Klingenhoff; Matthias Scherf; Martin Seifert; Tatjana Borodina; Aleksey Soldatov; Dmitri Parkhomchuk; Dominic Schmidt; Sean O'Keeffe; Stefan Haas; Martin Vingron; Hans Lehrach; Marie-Laure Yaspo
Journal:  Science       Date:  2008-07-03       Impact factor: 47.728

Review 4.  Design and analysis in genetic studies of human ageing and longevity.

Authors:  Qihua Tan; Torben A Kruse; Kaare Christensen
Journal:  Ageing Res Rev       Date:  2005-12-06       Impact factor: 10.895

Review 5.  The Human Ageing Genomic Resources: online databases and tools for biogerontologists.

Authors:  João Pedro de Magalhães; Arie Budovsky; Gilad Lehmann; Joana Costa; Yang Li; Vadim Fraifeld; George M Church
Journal:  Aging Cell       Date:  2008-11-05       Impact factor: 9.304

Review 6.  Transcriptional regulatory circuits: predicting numbers from alphabets.

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Review 7.  The core gut microbiome, energy balance and obesity.

Authors:  Peter J Turnbaugh; Jeffrey I Gordon
Journal:  J Physiol       Date:  2009-06-02       Impact factor: 5.182

Review 8.  RNA-Seq: a revolutionary tool for transcriptomics.

Authors:  Zhong Wang; Mark Gerstein; Michael Snyder
Journal:  Nat Rev Genet       Date:  2009-01       Impact factor: 53.242

9.  Gene expression atlas of the mouse central nervous system: impact and interactions of age, energy intake and gender.

Authors:  Xiangru Xu; Ming Zhan; Wenzhen Duan; Vinayakumar Prabhu; Randall Brenneman; William Wood; Jeff Firman; Huai Li; Peisu Zhang; Carol Ibe; Alan B Zonderman; Dan L Longo; Suresh Poosala; Kevin G Becker; Mark P Mattson
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  AGEMAP: a gene expression database for aging in mice.

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Journal:  PLoS Genet       Date:  2007-10-02       Impact factor: 5.917

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  36 in total

Review 1.  Unraveling genetic origin of aging-related traits: evolving concepts.

Authors:  Alexander M Kulminski
Journal:  Rejuvenation Res       Date:  2013-08       Impact factor: 4.663

Review 2.  Dark matters in AMD genetics: epigenetics and stochasticity.

Authors:  Leonard M Hjelmeland
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-01       Impact factor: 4.799

Review 3.  Recent Advancements in Intestinal Microbiota Analyses: A Review for Non-Microbiologists.

Authors:  Xiao-Wei Feng; Wen-Ping Ding; Ling-Yun Xiong; Liang Guo; Jia-Ming Sun; Peng Xiao
Journal:  Curr Med Sci       Date:  2018-12-07

4.  Computational methodology for ChIP-seq analysis.

Authors:  Hyunjin Shin; Tao Liu; Xikun Duan; Yong Zhang; X Shirley Liu
Journal:  Quant Biol       Date:  2013-03-01

5.  The scientific quest for lasting youth: prospects for curing aging.

Authors:  João Pedro de Magalhães
Journal:  Rejuvenation Res       Date:  2014-10       Impact factor: 4.663

Review 6.  Genome-environment interactions that modulate aging: powerful targets for drug discovery.

Authors:  João Pedro de Magalhães; Daniel Wuttke; Shona H Wood; Michael Plank; Chintan Vora
Journal:  Pharmacol Rev       Date:  2011-11-16       Impact factor: 25.468

7.  Cell resilience in species life spans: a link to inflammation?

Authors:  Caleb E Finch; Todd E Morgan; Valter D Longo; Joao P de Magalhaes
Journal:  Aging Cell       Date:  2010-04-23       Impact factor: 9.304

Review 8.  The role of DNA methylation in aging, rejuvenation, and age-related disease.

Authors:  Adiv A Johnson; Kemal Akman; Stuart R G Calimport; Daniel Wuttke; Alexandra Stolzing; João Pedro de Magalhães
Journal:  Rejuvenation Res       Date:  2012-10       Impact factor: 4.663

Review 9.  Current trends in the development and application of molecular technologies for cancer epigenetics.

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Journal:  World J Gastroenterol       Date:  2013-02-21       Impact factor: 5.742

Review 10.  Diagnostic Tools for Inborn Errors of Human Immunity (Primary Immunodeficiencies and Immune Dysregulatory Diseases).

Authors:  Annely M Richardson; Ann M Moyer; Linda Hasadsri; Roshini S Abraham
Journal:  Curr Allergy Asthma Rep       Date:  2018-02-22       Impact factor: 4.806

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