HyeongJin Yun Scientific Essay
Necessity of RNA Sequencing in Human BBB Models
and Drug Delivery Research
20191193 HyeongJin Yun
Introduction
I am currently developing a human blood brain barrier (BBB) model and conducting extensive research to understand how carriers penetrate BBB for drug delivery. My work is primarily to build basic cell culture techniques and an in vitro BBB model. The carrier samples used in this experiment are provided by our collaborative research partner. We plan and execute further experimental procedures by determining the permeability of these carriers across BBB.
Currently, I have completed the process of determining whether lipid nanoparticles (LNPs) can pass through BBB. Now I have shifted my focus to exploring the mechanisms by which these nanoparticles pass through the barrier. I came to find out because I thought RNA-sequencing, which was mentioned in Genomics course, would help me explore this mechanism.
Blood-Brain Barrier and Lipid Nanoparticles
The human blood-brain barrier (BBB) is a unique and selective barrier that regulates the transport of substances from Blood to the brain. It plays an important role in maintaining the neurons and glia function. BBB is composed of Brain microvascular endothermic cells (BMVECs), Astrocytes, Pericytes, and ECM (1,2). BMVECs have a much lower degree of endocytosis/transcytosis activity than peripheral endothelium contributing to the characteristics of BBB as a barrier (3).
Lipid nanoparticles (LNPs) are widely used in the field of drug delivery. LNPs are primarily composed of cholesterol and lipids and can encapsulate DNA, RNA, or drugs. Additionally, ligands or antibodies can be attached to the surface to aid in targeting (4).
My research is conducting a study on whether LNPs using a new fabrication method called Liposome Under Cryo-Assembly (Luca) can pass through the human BBB model. The identification of LNP samples that penetrate well is finished and the mechanism study process is in the process.
Overview of RNA sequencing technology
Principles of RNA Sequencing
RNA sequencing (RNA-seq) is a high-throughput sequencing technology used to determine the nucleotide sequence of RNA molecules and quantify specific RNA species within a population. The process of RNA sequencing includes the following steps (5):
- RNA Extraction: Extracting RNA from biological samples such as cells or tissues.
- cDNA Synthesis: Converting the extracted RNA into complementary DNA (cDNA) using reverse transcriptase.
- Library Preparation: Fragmenting the cDNA, attaching adapters, and amplifying the cDNA fragments through PCR.
- Sequencing: Sequencing the prepared library using platforms such as Illumina or Nanopore.
- Data Analysis: Aligning the generated sequences to a reference genome and quantifying gene expression levels.
Methods for Gene Expression Analysis Using RNA Sequencing
The analysis of gene expression using RNA sequencing involves several steps:
- Data Quality Control: Assessing the quality of sequencing data and removing low-quality reads.
- Data Alignment: Aligning the reads to a reference genome to determine the location of each read.
- Gene Expression Quantification: Calculating the expression levels of genes, typically represented as RPKM, FPKM, or TPM values.
- Differential Expression Analysis: Identifying differentially expressed genes between specific conditions to understand changes in gene expression due to factors such as inflammation, stress, or drug treatment
Necessity of RNA Sequencing in BBB Models
Through fluorescence image analysis, I found out that LNPs migrate to the transcytosis pathway. In addition, I checked the difference in transmittance by performing several transcytosis inhibitor treatments.
Through RNA sequencing, I would like to check whether the permeability has changed due to changes in the genetic level of the cells that actually make up BBB.
Future Plan
Listening to the Genomics course, I thought that conducting research at various gene levels was essential to conduct research at a high level. Later, the goal is to proceed with the RNA sequencing mentioned above to find out the detailed mechanisms that have not yet been found. After finding out the mechanism, I will treat the Aptamer on the surface to find out the change in the permeability and put the actual drug inside to deliver it.
References
(1) Cecchelli, Romeo, et al., Modelling of the blood–brain barrier in drug discovery and development., 2007, Nature Reviews Drug Discovery. vol. 6, no. 8, pp. 650–661,.
(2) Park, Tae-Eun, et al., Hypoxia-enhanced blood-brain barrier chip recapitulates human barrier function and shuttling of drugs and antibodies., 2019, Nature Communications, vol. 10, no. 1, 13
(3) Abbott, N. Joan, Lars Rönnbäck, and Elisabeth Hansson., Astrocyte–Endothelial Interactions at the Blood–Brain Barrier., 2006, Nature Reviews Neuroscience 7, no. 1: 41–53.
(4) Mehta, M., Bui, T. A., Yang, X., Aksoy, Y., Goldys, E. M., & Deng, W., Lipid-based nanoparticles for drug/gene delivery: An overview of the production techniques and difficulties encountered in their industrial development., 2023, ACS Materials Au, 3(6), 600–619.
(5) Deshpande, Dhrithi, et al., RNA-seq data science: From RAW data to effective interpretation.,2023, Frontiers in Genetics, vol. 14,
