Measuring Cell Surface Expression of Odorant Receptors via Flow Cytometry.

Methods Mol Biol

Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.

Published: September 2023


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Odorant receptor proteins (ORs) have highly variable cell surface expression levels. The majority of both human and murine ORs depend on chaperone proteins to traffic from the endoplasmic reticulum to the cell surface, while a limited subset of ORs express at high levels independently. Quantifying these heterogeneous expression levels is of high import for understanding the trafficking and stability of these integral-transmembrane proteins and for normalizing in vitro activation assays. Recognizable epitopes like the rhodopsin-tag can be inserted upstream of the N-termini in ORs to enable cell surface immunostaining and detection via flow cytometry. This method enables robust measurement and comparison of cell surface expression levels of different ORs. Our approach also facilitates the study of different chaperone proteins' effects on OR trafficking and expression.

Download full-text PDF

Source
http://dx.doi.org/10.1007/978-1-0716-3425-7_8DOI Listing

Publication Analysis

Top Keywords

cell surface
20
surface expression
12
expression levels
12
flow cytometry
8
surface
5
expression
5
ors
5
measuring cell
4
expression odorant
4
odorant receptors
4

Similar Publications

Treating neurological disorders is challenging due to the blood-brain barrier (BBB), which limits therapeutic agents, including proteins and peptides, from entering the central nervous system. Despite their potential, the BBB's selective permeability is a significant obstacle. This review explores recent advancements in protein therapeutics for BBB-targeted delivery and highlights computational tools.

View Article and Find Full Text PDF

Multivalent binding and the resulting dynamical clustering of receptors and ligands are known to be key features in biological interactions. For optimizing biomaterials capable of similar dynamical features, it is essential to understand the first step of these interactions, namely the multivalent molecular recognition between ligands and cell receptors. Here, we present the reciprocal cooperation between dynamic ligands in supramolecular polymers and dynamic receptors in model cell membranes, determining molecular recognition and multivalent binding via receptor clustering.

View Article and Find Full Text PDF

Multiple sclerosis (MS) is a chronic neurological disorder characterized by demyelination of the central nervous system (CNS), leading to a broad spectrum of physical and cognitive impairments. Myeloid cells within the CNS, including microglia and border-associated macrophages, play a central role in the neuroinflammatory processes associated with MS. Activation of these cells contributes to the local inflammatory response and promotes the recruitment of additional immune cells into the CNS.

View Article and Find Full Text PDF

T-cell therapies have proven to be a promising treatment option for cancer patients in recent years, especially in the case of chimeric antigen receptor (CAR)-T cell therapy. However, the therapy is associated with insufficient activation of T cells or poor persistence in the patient's body, which leads to incomplete elimination of cancer cells, recurrence, and genotoxicity. By extracting the splice element of PD-1 pre-mRNA using biology based on CRISPR/dCas13 in this study, our ultimate goal is to overcome the above-mentioned challenges in the future.

View Article and Find Full Text PDF

The increasing demand for efficient recombinant insulin production necessitates the development of scalable, high-yield, and cost-effective bioprocesses. In this study, we engineered a novel mini-proinsulin (nMPI) with enhanced expression properties by shortening the C-peptide and incorporating specific residue substitutions to eliminate the need for enzymatic cleavage. To optimize its production, we applied a hybrid approach combining microscale high-throughput cultivation using the BioLector microbioreactor and statistical modeling via response surface methodology (RSM).

View Article and Find Full Text PDF