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 Institutions

SPS - Saclay Plant Sciences

Identifying the tissue-specific biological function regulated by enhancers using gene regulatory networks - Maud Fagny

May 11, 2021 - 3:30PM - Online

Maud Fagny
(EcoAnthropology Lab, Muséum National d'Histoire Naturelle, Paris, France)

Enhancers are key regulators of the spatio-temporal expression of genes in eukaryotes, in particular during development. Their regulatory effect is mediated by the binding of transcription factors, which interact with target gene promoters through 3D-loops over distances reaching several dozens of megabases in some species. Groups of enhancers characterized by similar transcription factor binding sites (TFBSs) have been shown to shape complex regulatory networks, which control tissue-specific expression of genes involved in particular biological functions. Moreover, Transposable Elements (TEs) of various superfamilies have been proposed as a source of new regulatory elements in plants and animals. While enhancers have been identified as key players in the wiring of tissue-specific gene regulatory networks in mammals, and TEs have been shown to contribute to the emergence of these networks, this question remains largely unexplored in plants.  In this talk, I will discuss how integrating TFBS annotations of enhancers with gene co-expression data allows to infer tissue-specific enhancer-based regulatory network. I will present our results on the characterization of enhancers in two maize tissues at different stages: leaves at seedling stage (V2-IST) and husks (bracts) at flowering. In this work, we identified regulatory modules specific to each tissue, and, by analyzing enhancer sequences, we furthermore showed that two different TE families have shaped part of the regulatory network in the two tissues.