Clinical Trial Details
— Status: Recruiting
Administrative data
| NCT number |
NCT04871932 |
| Other study ID # |
COVID-2019-VIR-SCMO study |
| Secondary ID |
|
| Status |
Recruiting |
| Phase |
|
| First received |
|
| Last updated |
|
| Start date |
February 1, 2021 |
| Est. completion date |
December 3, 2026 |
Study information
| Verified date |
May 2021 |
| Source |
RenJi Hospital |
| Contact |
Jun Pu, MD,PhD |
| Phone |
86-21-68383477 |
| Email |
pujun310[@]hotmail.com |
| Is FDA regulated |
No |
| Health authority |
|
| Study type |
Observational
|
Clinical Trial Summary
In recent years, single-cell high-throughput sequencing technology has developed rapidly and
is widely used in research related to the immune system, breaking traditional cognition and
gaining a new understanding of immune cell classification. In particular, the emerging single
cell RNA sequencing (scRNA-seq) provides new ideas for the study of cell heterogeneity in
multicellular organisms. Analyzing the changes in the expression profile of the cell
transcriptome at the single-cell level can clearly show the changes in the trajectory of
individual cells, reveal new cell types, and discover the potential functions of immune
cells. Therefore, this study intends to recruit healthy adults and use multi-omics techniques
such as single-cell sequencing to systematically classify the peripheral blood mononuclear
cells of healthy adults to provide a basis for further disease-related research.
Description:
As an important part of the human body, the immune system is closely related to the
occurrence of diseases. Based on the traditional classification methodology, it is mainly
divided into two branches: innate immunity and adaptive immunity. Innate immune cells mainly
include monocytes (Mono), natural killer (NK) cells and dendritic cells (DC). The adaptive
immune cells mainly include B lymphocytes (B) and T lymphocytes (T). Peripheral blood
mononuclear cells (PBMCs) mainly include T cells, B cells, NK cells, Mono cells and DC cells.
The proportion of these cell populations varies among individuals. Usually in PBMC, T
lymphocytes account for 45-70%, B cells account for 5-15%, NK cells account for 5-20%, Mono
cells account for 10-30%, and DC cells account for 1-2%. Among them, B cells can be divided
into transitional, naive, memory subgroups and plasma cells. While, T cells are mainly
composed of cluster of differentiation 4+ (CD4+) T cells and cluster of differentiation 8+
(CD8+) T cells with the ratio about 2:1. What's more, CD4+ T cells and CD8+ T cells can be
further divided into naive cells, central memory cells in contact with antigen, effector
memory cells and effector cells. Mono cells can be divided into classic monocytes and
non-classical cluster of differentiation 16+ (CD16+) pro-inflammatory monocytes. DC cells
include plasmacytic dendritic cells (pDC) and myeloid dendritic cells (mDC).
In recent years, scRNA-seq has developed rapidly and is widely used in research related to
the immune system, breaking traditional cognition and gaining a new understanding of immune
cell classification. In particular, the emerging scRNA-seq provides new ideas for the study
of cell heterogeneity in multicellular organisms. Analyzing the changes in the expression
profile of the cell transcriptome at the single-cell level can clearly show the changes in
the trajectory of individual cells, reveal new cell types, and discover the potential
functions of immune cells.
Adults have a relatively stable immune system, with little interference from the external
environment. Therefore, this study intends to recruit healthy adults and use multi-omics
techniques such as scRNA-seq to systematically classify the PBMCs of healthy adults to
provide a basis for further disease-related research.
