PR95480

SHENZHEN, China, April 14, 2022 /PRNewswire=KYODO JBN/ --

The research will provide insights into the development of potential treatments

for neurological diseases and obesity, among other human conditions.

In a breakthrough that could lead to scientific advancement in the treatment of

human diseases, researchers from BGI-Research, together with scientific

research teams from China, Germany, Italy, Singapore, Spain, Sweden and the UK,

today published the world's first non-human primate whole-body cell

transcriptomic atlas in the scientific journal

Nature(https://www.nature.com/articles/s41586-022-04587-3).

By using BGI's independently-developed DNBelab C4 single-cell library platform,

the researchers from BGI, Jilin University, Guangzhou Institutes of Biomedicine

and Health (Chinese Academy of Sciences), and 32 other international

institutions completed the single-cell transcriptome of 45 tissues and organs

from long-tailed macaque (cynomolgus) monkeys, obtaining a total of 1.14

million single-cell data and identifying 113 major cell types. The study, "Cell

transcriptomic atlas of the non-human primate Macaca fascicularis", obtained

ethical clearance before it was conducted.

This study and other large scale primate research at the single-cell level are

only possible through developments in advanced sequencing technology, an area

where BGI is a leader. BGI's proprietary technology enables extensive and

multi-dimensional single-cell analysis with high sensitivity and accuracy at a

low cost.

"Single-cell research is transforming our understanding of tissue and organ

functions at a cellular level, which informs how diseases develop and how they

can be treated," said Dr. Liu Longqi from BGI-Research, one of the

corresponding authors of the paper. "Having a whole-body organ single-cell map

of the adult macaque will significantly improve the ability to pinpoint how to

develop potential treatments for human diseases with greater precision."

By mapping the macaque transcriptome at the single-cell level, scientists now

have a database, or single-cell library, that can be used for

-developing methods for human disease diagnosis and treatment,

-assessment of clinical drug efficacy,

-analysis of cell evolution among species, and

-analysis of advanced cognitive functions of the brain.

"By understanding cell types and their characteristics, scientists will be able

to predict the impact of disease treatments on specific cell structures and

thus develop more targeted approaches for single-gene or complex genetic

diseases," said co-corresponding author Dr. Xu Xun, director of BGI-Research.

Source: BGI Group