Mapping and characterising constitutive secretion in human neurons
Award Number
BB/W005905/1Status / Stage
ActiveDates
1 April 2022 -31 March 2025
Duration (calculated)
02 years 11 monthsFunder(s)
BBSRC (UKRI)Funding Amount
£388,829.00Funder/Grant study page
BBSRC UKRIContracted Centre
University of CambridgePrincipal Investigator
Dr David GershlickPI Contact
dg553@cam.ac.ukPI ORCID
0000-0003-0164-4169WHO Catergories
Understanding Underlying DiseaseDisease Type
Dementia (Unspecified)CPEC Review Info
Reference ID | 739 |
---|---|
Researcher | Reside Team |
Published | 07/07/2023 |
Data
Award Number | BB/W005905/1 |
---|---|
Status / Stage | Active |
Start Date | 20220401 |
End Date | 20250331 |
Duration (calculated) | 02 years 11 months |
Funder/Grant study page | BBSRC UKRI |
Contracted Centre | University of Cambridge |
Funding Amount | £388,829.00 |
Abstract
The secretory route from the Golgi apparatus to the plasma membrane is one of the most important intracellular trafficking pathways. This pathway is essential for delivery of soluble proteins to the extracellular space as well as for integral membrane proteins to the plasma membrane. Despite its importance, this pathway is still poorly understood in neurons, which are polarised cells with two forms of soluble protein secretion (regulated and constitutive), and a complex subcellular organisation. We will use super-resolution imaging to map the secretory route of soluble protein in human iPSC derived neurons. We have already performed a number of screens in non-polarised immortalised cells which led to identifying a host of new proteins directly involved in Golgi apparatus to plasma membrane trafficking. We will determine whether neurons use similar secretory molecular machinery by testing the role of the proteins we have identified. In addition, we will use CRISPRi to abrogate secretory machinery in neurons, and compare single cell morphology and architecture in an unbiased manner, to determine the consequences of abnormal secretion on global neuronal organisation. In summary, we will characterise the secretory protein trafficking route in neurons. We will identify functional machinery that allows this process to happen, and we will work towards a comprehensive understanding on the effects of loss of this machinery.