Literature DB >> 23578546

Transcriptional profiling technology for studying vaccine responses: an untapped goldmine.

K L Flanagan1, F Noho-Konteh, P Ghazal, P Dickinson.   

Abstract

There is much that we do not understand about the immune mechanisms whereby vaccines exert their specific and non-specific effects. Most studies take the reductionist approach of examining vaccine responses at the humoral or cellular level. Whole human transcriptional profiling is becoming more accessible, and provides a picture of the entire immune response to vaccination in a single 'snapshot'. The potential uses of such information are enormous, and the data mining tools are becoming more sophisticated to handle the complex data generated. We now face the exciting prospect of gaining in depth knowledge as to exactly what vaccines do to the immune system as a whole, and identifying molecular signatures and biomarkers that can predict immediate and long term outcomes of vaccination. The challenge now is to carry out the studies and generate the much needed data.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23578546     DOI: 10.1016/j.ymeth.2013.03.032

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  3 in total

1.  Tissue and host species-specific transcriptional changes in models of experimental visceral leishmaniasis.

Authors:  Helen Ashwin; Karin Seifert; Sarah Forrester; Najmeeyah Brown; Sandy MacDonald; Sally James; Dimitris Lagos; Jon Timmis; Jeremy C Mottram; Simon L Croft; Paul M Kaye
Journal:  Wellcome Open Res       Date:  2019-01-02

Review 2.  Systems vaccinology and big data in the vaccine development chain.

Authors:  René H M Raeven; Elly van Riet; Hugo D Meiring; Bernard Metz; Gideon F A Kersten
Journal:  Immunology       Date:  2018-11-13       Impact factor: 7.397

3.  mSep: investigating physiological and immune-metabolic biomarkers in septic and healthy pregnant women to predict feto-maternal immune health - a prospective observational cohort study protocol.

Authors:  Simran Sharma; Summia Zaher; Patrícia R S Rodrigues; Luke C Davies; Sarah Edkins; Angela Strang; Mallinath Chakraborty; W John Watkins; Robert Andrews; Edward Parkinson; Nicos Angelopoulos; Linda Moet; Freya Shepherd; Kate Megan Megan Davies; Daniel White; Shaun Oram; Kate Siddall; Vikki Keeping; Kathryn Simpson; Federica Faggian; Maryanne Bray; Claire Bertorelli; Sarah Bell; Rachel E Collis; James E McLaren; Mario Labeta; Valerie B O'Donnell; Peter Ghazal
Journal:  BMJ Open       Date:  2022-09-17       Impact factor: 3.006

  3 in total

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