• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, April 1, 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

New DNA methylation-based method for precise assessment of pancreas cell composition

Bioengineer by Bioengineer
February 6, 2024
in Biology
Reading Time: 3 mins read
0
Histological Image of the Human Pancreas
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

Research introduces new DNA methylation-based method for accurately assessing cell composition in the human pancreas, addressing a critical gap in diabetes research. By overcoming limitations of traditional protein marker-based approaches, the study provides a more precise means to identify specific cell types. The findings offer insights into beta-cell dysfunction across diabetes types and have direct clinical implications, enhancing our understanding of diabetes development and potentially guiding more tailored treatment strategies. This innovative molecular alternative to immunodetection methods holds promise for broader applications in molecular biology and diagnostics.

Histological Image of the Human Pancreas

Credit: Zeina Drawshy, Dor Lab

Research introduces new DNA methylation-based method for accurately assessing cell composition in the human pancreas, addressing a critical gap in diabetes research. By overcoming limitations of traditional protein marker-based approaches, the study provides a more precise means to identify specific cell types. The findings offer insights into beta-cell dysfunction across diabetes types and have direct clinical implications, enhancing our understanding of diabetes development and potentially guiding more tailored treatment strategies. This innovative molecular alternative to immunodetection methods holds promise for broader applications in molecular biology and diagnostics.

[Hebrew University, Jerusalem, Israel] In a study published in Diabetes, Prof. Yuval Dor and his research team from Hebrew University have introduced a new approach for accurately assessing cell composition in the human pancreas and islets. The research addresses a critical need in understanding the genesis of diabetes and offers an alternative to traditional protein marker-based methods.

Current methodologies rely on the detection of protein markers, such as insulin, to identify specific cell types in the pancreas. However, the variability in protein content under different physiological and pathological conditions poses a significant limitation, complicating the accurate determination of cell numbers.

The study demonstrates the innovative use of cell type-specific DNA methylation markers to overcome these limitations. By identifying genomic loci uniquely demethylated in specific pancreatic cell types, the research team applied targeted PCR to assess the methylation status of these loci in human islet and pancreas specimens. This enabled a precise inference of cell type composition, offering a molecular alternative to traditional immunodetection methods.

The researchers looked at groups of cells in the pancreas called islets. They found that in people with different types of diabetes (pre-T1D, T1D, and T2D), the function of a specific type of cell called beta-cells was similar, but it was lower compared to people without diabetes. When they looked at pancreas tissues from people with recent-onset T1D, they found that the beta-cell function was within the normal range, suggesting a problem with these cells. In people with T2D, there were more of another type of cell called alpha-cells, but the beta-cell function was normal. This helps us understand how these cells work in diabetes.

Prof. Yuval Dor, the lead researcher, remarked, “The use of DNA methylation-based analysis not only provides a more accurate assessment of cell types in the human pancreas but also proves invaluable in interpreting insulin secretion assays. This method opens new avenues for understanding pancreas cell composition in both health and disease.”

The study was led by graduate student Zeina Drawshy, Dr Agnes Klochendler and Prof. Yuval Dor from the Hebrew University, in collaboration with scientsts from Hadassah Medical Center, the University of Florida, the University of Pennsylvania and Li Ka Shing Centre for Research in Edmonton.



Journal

Diabetes

DOI

10.2337/db23-0704

Method of Research

Experimental study

Subject of Research

Human tissue samples

Article Title

DNA methylation-based assessment of cell composition in human pancreas and islets

Article Publication Date

24-Jan-2024

Share13Tweet8Share2ShareShareShare2

Related Posts

Do Your Genes Influence How Lifestyle Choices Affect Aging?

Do Your Genes Influence How Lifestyle Choices Affect Aging?

April 1, 2026
Combining Single-Cell Multiomics Unlocks Precise Identification of Rare Cell Types and States

Combining Single-Cell Multiomics Unlocks Precise Identification of Rare Cell Types and States

March 31, 2026

Genetically Engineered Marmosets Pave the Way for Advancements in Human Deafness Research

March 31, 2026

How Great Hammerhead Sharks Outsmart Ocean Temperature Swings: Insights from FIU Researchers

March 31, 2026

POPULAR NEWS

  • blank

    Revolutionary AI Model Enhances Precision in Detecting Food Contamination

    96 shares
    Share 38 Tweet 24
  • Imagine a Social Media Feed That Challenges Your Views Instead of Reinforcing Them

    1006 shares
    Share 398 Tweet 249
  • Promising Outcomes from First Clinical Trials of Gene Regulation in Epilepsy

    51 shares
    Share 20 Tweet 13
  • Popular Anti-Aging Compound Linked to Damage in Corpus Callosum, Study Finds

    43 shares
    Share 17 Tweet 11

About

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

Follow us

Recent News

Cutting-Edge “Smart” Drugs Revolutionize Cancer Treatment

KIST-IAE Collaborative Team Surpasses Performance Limits in Lithium-Air Batteries with Innovative Two-Dimensional Catalyst

Brain Metastases Show Unique Macrophage Spatial Patterns

Subscribe to Blog via Email

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

Join 78 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.