• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, July 15, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Biology

Computer program detects differences between human cells

Bioengineer by Bioengineer
October 9, 2017
in Biology
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

"How many different cell types are there in a human body? And how do these differences develop? Nobody really knows," says Professor Stein Aerts from KU Leuven (University of Leuven) and VIB, Belgium. But thanks to a new method developed by his team, that may be about to change.

Even though each of the cells in our body carries the exact same DNA sequence, there's a huge variety of cell types and functions. These differences stem from how the DNA sequence is interpreted: not all genes are 'switched on' in each cell.

Recent advances in single-cell sequencing have already made it possible to measure which of our 20,000 genes are active in an individual cell. With over 30 trillion cells in the human body, these techniques provide an unprecedented level of detail that is revolutionising research in biology and medicine. But when this method is applied to thousands of cells from different tissues, it becomes increasingly challenging to process the enormous amounts of data and detect meaningful patterns.

Computational biologist Stein Aerts (KU Leuven and VIB) and his team joined forces with mathematicians, bioengineers, and IT specialists to rise to the challenge. "We developed SCENIC, a computer programme that identifies different cell types based on their gene expression patterns, quickly and accurately. This allows for a better understanding of how the fate of the cell types is regulated, and for the identification of master regulators, which could also be potential drug targets."

"This novel method doesn't just help us to learn more about the different cells in our body," says postdoctoral researcher Sara Aibar Santos. "It also tells us how cell activity changes in the course of time, or when we get sick."

The team has already applied the method to brain tissue of mice and humans. They also used it to analyse and compare cancer cells from brain and skin tumours, which led to the identification of new cell types related to metastasis, the spreading of cancer cells to other parts of the body.

The method could help develop the Human Cell Atlas, a global effort aimed at mapping all different cell types and states in the human body. "This atlas would be an invaluable source of information for both research and medicine," Aibar Santos continues. "It would allow us to systematically study the biological changes associated with different diseases, to understand where disease-associated genes are active in our bodies, analyse the molecular mechanisms that govern the production and activity of different cell types, and sort out how different cell types combine and work together to form tissues."

###

Media Contact

Stein Aerts
[email protected]
@LeuvenU

http://www.kuleuven.be/english/news?

https://nieuws.kuleuven.be/en/content/2017/computer-programme-detects-differences-between-human-cells

Related Journal Article

http://dx.doi.org/10.1038/nmeth.4463

Share12Tweet8Share2ShareShareShare2

Related Posts

Targeted Nanoparticles Make Tumors’ Copper Into a Lethal Weapon

Targeted Nanoparticles Make Tumors’ Copper Into a Lethal Weapon

July 15, 2026
Kansas City University Review Identifies Astrocytes as Drivers of Chronic Traumatic Encephalopathy

Kansas City University Review Identifies Astrocytes as Drivers of Chronic Traumatic Encephalopathy

July 15, 2026

Elephants Use Ground Vibrations for Communication via Specialized Middle Ear Anatomy

July 15, 2026

Sequential mating reduces medaka sperm speed, impacting fertilization success

July 15, 2026
Please login to join discussion

POPULAR NEWS

  • New Drug Candidate Developed at McMaster Shows Potential for Treating Brain Cancer

    58 shares
    Share 23 Tweet 15
  • A varied menu

    51 shares
    Share 22 Tweet 12
  • 研究人员开发认知工具包,实现阿尔茨海默症早期检测

    50 shares
    Share 20 Tweet 13
  • Porcine Heart Transplant

    50 shares
    Share 20 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Rapid Mass Spectrometry Maps Traditional Chinese Medicine Beyond the Laboratory

Bile Acid Accumulation Promotes Breast Cancer Spread, Study Finds

Targeted Nanoparticles Make Tumors’ Copper Into a Lethal Weapon

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 85 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.