Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal AgroParisTech Université Paris-Saclay

INRA GABI Unit

GABI : Génétique Animale et Biologie IntégrativeUnité Mixte de Recherche INRA - AgroParisTech

Inventory of microRNA in equine tissues

A very exhaustive inventory of microRNA in the horse was made using high-throughput sequencing analysis of RNA (RNAseq). Four hundred ninety-nine microRNA identical to those in men, mice or other species were identified from blood, muscle, bone, cartilage, heart and liver tissues and 834 unknown microRNA were predicted including 20 coded by the mitochondrial genome. From these new genomic data, a customized equine microRNA microarray chip was developed in partnership with Agilent Technologies.

Context and Stakes

The study of the post-transcriptional regulation in muscle, cartilage and bone tissues. Use of a microarray for the identification of biomarkers.

Results

Six hundred ninety-seven microRNA unknown to the miRBase were sequenced and predicted as mature microRNA candidates. Amongst them, 20 micoRNA candidates are encoded by the mitochondrial genome (mitomiRs). A customized 8x60K microRNA microarray was developed for the simultaneous analysis of 1886 miRNA from the v18 miRBase and 781 equine miRNA.

Perspectives

Application of this equine miRNA for transcriptome and microtransciptome projects.

Valorization

These results were presented during two international meetings and a publication is currently being prepared.

 

References

Mata X, Vaiman A, Legendre R, Marthey S, Laloé D, Jaffrézic F, Rau A, Ruet A, Kennedy S, Schibler L , Barrey E (2013) MicroRNAs identification and pattern expression in equine skeletal muscles, heart and liver determined by RNA deep sequencing. Congrès NiceRNA , 4-6 decembre 2013, Nice, Abstract book pp . 

Mata X, Vaiman A, Legendre R, Marthey S, Laloé D, Jaffrézic F, Rau A, Ruet A, Kennedy S, Barrey E and Schibler L (2013) MicroRNAs identification and pattern expression in equine skeletal muscles, heart and liver determined by RNA deep sequencing.  International workshop on Equine Genetics  Havemeyer Fondation, Juillet 2013, Azores, Abstract book pp.

Barrey E, Mach N, Mata X, Vaiman A, Moroldo N, Lecardonel J, Legendre R, Marthey S, Laloé D, Jaffrézic F, Rau A, Ruet A, Kennedy S and Schibler L (2013) Design of a custom equine microRNA expression microarray  using RNAseq  data analysis of various equine tissues. 

Agilent First European Animal & Plant Symposium. De Rode Hoed, Keizersgracht 102, Amsterdam, The Netherlands, February 25-26, 2014.