The main objectives of CROSSTALK are to understand inter-organ communication by small extracellular vesicles. We are using the liver as main EV-secreting organ, due to its main metabolic role in body homeostasis. For this, we will map target organs of hepatic EVs, to analyse hepatic EV cargo, and to decipher their function. The technological achievements needed to reach this point are
Task 1) the generation of zebrafish lines expressing EV-reporters in the liver.
Task 2) the development of proximity-biotinylation tools to specifically label EV cargo from donor organs, the liver in particular.
Task 3) the development of tools to inhibit EV release in a tissue specific manner, the liver in particular
Regarding Task 1, we did the following: we performed an extensive analysis of the zebrahub expression data (
https://zebrahub.sf.czbiohub.org(öffnet in neuem Fenster)) for EV marker expression in the liver of zebrafish larvae to select the highest expressing marker for our tagging strategies. We selected the top 4, and cloned the zebrafish genes fused to mStayGold and UltraID (for Task 2). We first expressed these transiently, to confirm correct expression and sorting into EVs in vivo. Indeed, we observed fluorescent EVs in the circulation of zebrafish coming from the liver. Based on these encouraging results, we started with the generation of stable integrated EV-marker lines, using the conventional Tol2 strategy as well as a newly develop strategy (pIGLET), that are now growing up in the facility. In the mean time, we have performed preliminary target organ analysis where we observe both expected target organs/tissues (CVP) as target tissues that seem specific for a subpopulation of liver EVs.
Regarding Task 2, we did the following: the 4 selected EV markers based on the zebrahub expression dataset were fused to UltraID. To broaden the applicability and in vitro optimization, we did this both for the zebrafish as well as their human ortholog proteins. In addition, we developed ER-anchored UltraID constructs, as well as tested candidates as mentioned in the proposal (including NPC1). These were tested for best EV-labelling properties, and lowest presence in the soluble secretome (based on SEC separation of EVs and the soluble secretome). In collaboration with the Mass Spec department (see also below) we are now assessing the sensitivity of this approach.
Regarding Task 3, we have almost completed the set-up of the tool in vitro, and are now planning its application in vivo. Thanks to a parallel project in the lab in which we have investigated the balance between EV secretion and degradation, we unravelled the underpinning mechanism that naturally prevents EV release from cells. This mechanism uses a machinery that is conserved in yeast, and therefore has the potential to be widely active. For the EV-inhibition tool, we now utilise the insights into this natural pathway to create an EV-inhibition tool that can be used in a tissue specific manner with as little as possible side-effects that are associated with traditional approaches, such as Rab27a interference.