Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-7d684dbfc8-csfzr Total loading time: 0 Render date: 2023-09-21T23:01:58.867Z Has data issue: false Feature Flags: { "corePageComponentGetUserInfoFromSharedSession": true, "coreDisableEcommerce": false, "coreDisableSocialShare": false, "coreDisableEcommerceForArticlePurchase": false, "coreDisableEcommerceForBookPurchase": false, "coreDisableEcommerceForElementPurchase": false, "coreUseNewShare": true, "useRatesEcommerce": true } hasContentIssue false

Chapter 13 - ‘Omic’ Research

Published online by Cambridge University Press:  04 August 2017

By
Louise C. Kenny  and
Fergus McCarthy
Edited by
P. M. Shaughn O'Brien  and
Fiona Broughton Pipkin
P. M. Shaughn O'Brien
Affiliation:
Keele University School of Medicine
Fiona Broughton Pipkin
Affiliation:
University of Nottingham
Get access

Summary

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Introduction to Research Methodology for Specialists and Trainees , pp. 97 - 103
Publisher: Cambridge University Press
Print publication year: 2017

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Horgan, RP, Kenny, LC. ‘Omic’ technologies: genomics, transcriptomics, proteomics and metabolomics. The Obstetrician & Gynaecologist 2011;13:189–195.
Baltimore, D. Our genome unveiled. Nature. Feb 15 2001;409(6822):814–16.
Aronson, SJ, Rehm, HL. Building the foundation for genomics in precision medicine. Nature. Oct 15 2015;526(7573):336–42.
Forero-Castro, M, Robledo, C, Lumbreras, E, et al. The presence of genomic imbalances is associated with poor outcome in patients with burkitt lymphoma treated with dose-intensive chemotherapy including rituximab. British Journal of Haematology. Feb 2016;172(3):428–38.
Rodriguez-Vicente, AE, Lumbreras, E, Hernandez, JM, et al. Pharmacogenetics and pharmacogenomics as tools in cancer therapy. Drug Metabolism and Personalized Therapy. Feb 10 2016.
Li, S, Todor, A, Luo, R. Blood transcriptomics and metabolomics for personalized medicine. Computational and Structural Biotechnology Journal. 2016;14:1–7.
Vlahou, A, Fountoulakis, M. Proteomic approaches in the search for disease biomarkers. Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences. Jan 5 2005;814(1):11–19.
Mischak, H, Allmaier, G, Apweiler, R, et al. Recommendations for biomarker identification and qualification in clinical proteomics. Science Translational Medicine. Aug 25 2010;2(46):46ps42.
Wishart, DS, Knox, C, Guo, AC, et al. HMDB: a knowledgebase for the human metabolome. Nucleic Acids Research. Jan 2009;37(Database issue): D603–10.
Kell, DB. Implications of endogenous roles of transporters for drug discovery: Hitchhiking and metabolite-likeness. Nature Reviews. Drug Discovery. Feb 3 2016;15(2):143.
Ly, L, Wasinger, VC. Protein and peptide fractionation, enrichment and depletion: Tools for the complex proteome. Proteomics. Feb 2011;11(4):513–34.
Poole, CF. Ionization-based detectors for gas chromatography. Journal of Chromatography. A. Nov 20 2015;1421:137–53.
Fuhrer, T, Zamboni, N. High-throughput discovery metabolomics. Current Opinion in Biotechnology. Feb 2015;31:73–8.
Shon, HK, Yoon, S, Moon, JH, Lee, TG. Improved mass resolution and mass accuracy in TOF-SIMS spectra and images using argon gas cluster ion beams. Biointerphases. 2016;11(2):02A321.
Trimpin, S, Woodall, DW, Thawoos, S, et al. Rapid high mass resolution mass spectrometry using matrix-assisted ionization. Methods. Jan 30 2016; 15(104):63–8. doi: 10.1016/j.ymeth.2016.01.019.
Jorgensen, C, Locard-Paulet, M. Analysing signalling networks by mass spectrometry. Amino Acids. Sep 2012;43(3):1061–74.
Moore, CD, Ajala, OZ, Zhu, H. Applications in high-content functional protein microarrays. Current Opinion in Chemical Biology. Feb 2016;30:21–7.
Tomizaki, KY, Usui, K, Mihara, H. Protein-detecting microarrays: current accomplishments and requirements. Chembiochem: A European Journal of Chemical Biology. May 2005;6(5):782–99.
Members, MSIB, Sansone, SA, Fan, T, et al. The metabolomics standards initiative. Nature Biotechnology. Aug 2007;25(8):846–8.
Le Novere, N, Hucka, M, Mi, H, et al. The Systems Biology Graphical Notation. Nature Biotechnology. Aug 2009;27(8):735–41.
Kell, DB. Systems biology: Metabolites do social networking. Nature Chemical Biology. Jan 2011;7(1):7–8.
McCarthy, FP, Khashan, AS, North, RA, et al. Pregnancy loss managed by cervical dilatation and curettage increases the risk of spontaneous preterm birth. Human Reproduction. Dec 2013;28(12):3197–206.
McCarthy, FP, O’Keeffe, LM, Khashan, AS, et al. Association between maternal alcohol consumption in early pregnancy and pregnancy outcomes. Obstetrics and Gynecology. Oct 2013;122(4):830–7.
Kenny, LC, Broadhurst, DI, Dunn, W, et al. Robust early pregnancy prediction of later preeclampsia using metabolomic biomarkers. Hypertension. Oct 2010;56(4):741–9.
Navaratnam, K, Alfirevic, Z, Baker, PN, et al. A multi-centre phase IIa clinical study of predictive testing for preeclampsia: Improved pregnancy outcomes via early detection (IMPROvED). BMC Pregnancy and Childbirth. 2013;13:226.
Kamath-Rayne, BD, Smith, HC, Muglia, LJ, Morrow, AL. Amniotic fluid: the use of high-dimensional biology to understand fetal well-being. Reproductive Sciences. Jan 2014;21(1):6–19.
Thomas, MM, Sulek, K, McKenzie, EJ, et al. Metabolite profile of cervicovaginal fluids from early pregnancy is not predictive of spontaneous preterm birth. International Journal of Molecular Sciences. 2015;16(11):27741–8.

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×