27.06.2013 Views

Voie d'immunisation et séquence d'administration de l ... - TEL

Voie d'immunisation et séquence d'administration de l ... - TEL

Voie d'immunisation et séquence d'administration de l ... - TEL

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

tel-00827710, version 1 - 29 May 2013<br />

(b) Barcoding technology<br />

An elegant strategy of cellular barcoding has recently been <strong>de</strong>veloped to analyze the kinship<br />

b<strong>et</strong>ween different T cell populations (Schumacher <strong>et</strong> al., 2010). A r<strong>et</strong>roviral plasmid library<br />

was generated in which each individual virus carried a unique molecular “barco<strong>de</strong>”. T cells<br />

were infected and, thus, labeled by r<strong>et</strong>roviral transduction and then reintroduced into mice.<br />

After immunization and the resulting differentiation of transferred T cells, different cell<br />

subs<strong>et</strong>s were sorted, DNA was isolated and the overlap of barco<strong>de</strong>s b<strong>et</strong>ween different<br />

functional subs<strong>et</strong>s was analyzed. Using this technique, lineage relationships could be analyzed<br />

b<strong>et</strong>ween T cell subs<strong>et</strong>s. The power of cellular barcoding has already been harnessed to answer<br />

two long-standing questions. First, it was used to d<strong>et</strong>ermine wh<strong>et</strong>her populations of T cells<br />

found in a specific location or those that share a common functional activity, come from a<br />

common progenitor (Schepers <strong>et</strong> al., 2008). Following this study, van Heijst and colleagues<br />

ma<strong>de</strong> use of this approach to d<strong>et</strong>ermine the number of precursors that are recruited to form a<br />

given effector T cell population <strong>de</strong>pending on the conditions of immunization (van Heijst <strong>et</strong><br />

al., 2009).<br />

(c) Combicolor approach<br />

The consistent improvement of flow cytom<strong>et</strong>ry technology has also provi<strong>de</strong>d new tools by<br />

which to study T cell responses. It is now possible to combine many fluorophores in the same<br />

experiment. While one t<strong>et</strong>ramer labeled by one colour was used before to characterize a T cell<br />

response, it is now possible to simultaneously d<strong>et</strong>ect multiple different antigen-specific T<br />

cells with several t<strong>et</strong>ramers within the same sample. In particular, Hadrup and colleagues<br />

<strong>de</strong>veloped a novel combinatorial m<strong>et</strong>hod, in which each specific T cell is labeled with a mix<br />

of i<strong>de</strong>ntical t<strong>et</strong>ramers conjugated to different fluorophores. Each antigen-specificity is labeled<br />

and i<strong>de</strong>ntified by a unique fluorophore combination. In this way, 15 specificities can be<br />

d<strong>et</strong>ected concurrently by using 4 different fluorophores (Hadrup <strong>et</strong> al., 2009). Depending on<br />

the frequency of the cells of interest, cells can be stained directly or upon t<strong>et</strong>ramer<br />

enrichment.<br />

Although previous studies that characterized the T cell response were performed by<br />

examining cells at the population level, the trend is now to study rare populations and<br />

characterize the response at the single cell level by using the multiple new techniques<br />

<strong>de</strong>scribed here, either alone or in combination, including t<strong>et</strong>ramer-based enrichment. In<strong>de</strong>ed,<br />

142

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!