UZH-Logo

Detection of pain and stress by monitoring gene expression


Cinelli, P; Arras, M; Buerki, K (2006). Detection of pain and stress by monitoring gene expression. ALTEX : Alternativen zu Tierexperimenten, 23 Sup:416-9.

Abstract

One of the main concerns with regard to animal experimentation is that if animals must be used for experimental purposes, pain and distress should be abolished or reduced to an absolute minimum. Regarding the principles of the 3Rs, considerable progress has been made concerning reduction and replacement, however to implement refinement it is necessary to improve our ability to objectively recognise signs of pain and distress. Here we present preliminary results indicating that gene expression analysis with DNA microarrays results in characteristic molecular signatures, which allow the identification of different pain and stress levels in mice.

One of the main concerns with regard to animal experimentation is that if animals must be used for experimental purposes, pain and distress should be abolished or reduced to an absolute minimum. Regarding the principles of the 3Rs, considerable progress has been made concerning reduction and replacement, however to implement refinement it is necessary to improve our ability to objectively recognise signs of pain and distress. Here we present preliminary results indicating that gene expression analysis with DNA microarrays results in characteristic molecular signatures, which allow the identification of different pain and stress levels in mice.

Downloads

1 download since deposited on 23 Mar 2009
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:05 Vetsuisse Faculty > Institute of Laboratory Animal Science
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Date:2006
Deposited On:23 Mar 2009 08:51
Last Modified:05 Apr 2016 12:51
Publisher:Spektrum Akademischer Verlag
ISSN:1868-596X
PubMed ID:17492224
Permanent URL: http://doi.org/10.5167/uzh-10863

Download

[img]
Content: Accepted Version
Filetype: PDF - Registered users only
Size: 1MB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations