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Omic techniques in systems biology approaches to traditional Chinese medicine research

Present and future

Bibliographic Data

ID14727404
AuthorsAlessandro Buriani (0000-0001-9742-8991, University of Padua), Maria L Garcia-Bermejo, Laura García‐Bermejo (0000-0002-8167-2276, Universidad de Alcalá), Enrica Bosisio (University of Milan), Qihe Xu (0000-0002-8015-2674, King's College London), Huige Li (0000-0003-3458-7391, Johannes Gutenberg University Mainz), Xuebin Dong (0000-0002-6907-0491, King's College London), Monique S J Simmonds (0000-0002-5058-7992, Royal Botanic Gardens, Kew), Maria Carrara (0000-0002-4780-9160, University of Padua), Noelia Tejedor (Universidad de Alcalá), Javier Lucio-Cazana, Francisco Javier Lucio-Cazaña (0000-0001-9249-8501, Universidad de Alcalá), Peter J Hylands (0000-0003-1328-1019, King's College London, corresponding author)
Year2012
Volume140
Issue3
Pages535-544
Publication date2012-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Ethnopharmacology (JOURNAL)
Journal identifiersISSN: 0378-8741 • E-ISSN: 1872-7573
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jep.2012.01.055
PMID22342380
OpenAlexW2052753913
LanguageEN
Citations received17
References cited79

Omic techniques have become key tools in the development of systems biology. As the holistic approaches underlying the practice of traditional Chinese medicine (TCM) and new tendencies in Western medicine towards personalised medicine require in-depth knowledge of mechanisms of action and active compounds, the use of omic techniques is crucial for understanding and interpretation of TCM development, especially in view of its expansion in Western countries. In this short review, omic applications in TCM research are reviewed which has allowed some speculation regarding future perspectives for these approaches in TCM modernisation and standardisation. Guidelines for good practice for the application of omics in TCM research are also proposed

Alternative medicine · Bioinformatics · Biology · Computational biology · Data science · Engineering ethics · Omics · Pathology · Systems biology · Traditional Chinese medicine · Traditional medicine · Bioinformatics and Genomic Networks · Computer Science · Engineering · Medicine · Metabolomics and Mass Spectrometry Studies · Traditional Chinese Medicine Studies

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Unique citing works17
Citations per year1,21
Citation span2012 - 2025 (14)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 15

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