We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Genetically Encoded Sensor Isolates Hidden Leukemic Stem Cells

By LabMedica International staff writers
Posted on 26 Mar 2019
All stem cells can multiply, proliferate and differentiate and because of these qualities, and leukemic stem cells are the most malignant of all leukemic cells. More...
Understanding how leukemic stem cells are regulated has become an important area of cancer studies.

Acute leukemia is an aggressive blood malignancy with low survival rates. A high expression of stem-like programs in leukemia predicts poor prognosis and is assumed to act in an aberrant fashion in the phenotypically heterogeneous leukemia stem cell (LSC) population.

A team of scientists led by those at Tel Aviv University (Tel Aviv-Yafo, Israel) devised a novel biosensor that can isolate and target leukemic stem cells. Their unique genetically encoded sensor has the ability to identify isolate and characterize leukemic stem cells. The team searched genomic databases for "enhancers," the specific regulatory regions of the genome that are particularly active in stem cells. Then they harnessed genome engineering to develop a sensor composed of a stem cell active enhancer fused with a fluorescence gene that labels the cells in which the enhancer is active.

The investigators analysis revealed that the ERG + 85 enhancer region can serve as a marker for stemness-state and a fluorescent lentiviral reporter was developed that can accurately recapitulate the endogenous activity. They used a novel reporter and revealed cellular heterogeneity in several leukemia cell lines and patient-derived samples. Alterations in reporter activity were associated with transcriptomic and functional changes that were closely related to the hematopoietic stem cell (HSC) identity. Notably, the differentiation potential was skewed towards the erythro-megakaryocytic lineage. The scientists were also able to demonstrate that sensor-positive leukemia stem cells are sensitive to a known and inexpensive cancer drug called 4-HPR (fenretinide), providing a novel biomarker for patients who can potentially benefit from this drug.

Michael Milyavsky, PhD, a senior lecturer and senior author of the study, said, “Using this sensor, we can perform personalized medicine oriented to drug screens by barcoding a patient's own leukemia cells to find the best combination of drugs that will be able to target both leukemia in bulk as well as leukemia stem cells inside it. We're also interested in developing killer genes that will eradicate specific leukemia stem cells in which our sensor is active.” The study was published on January 31, 2019, in the journal Leukemia.

Related Links:
Tel Aviv University


Gold Member
Immunochromatographic Assay
CRYPTO Cassette
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Pipette
Accumax Smart Series
Sperm Quality Analyis Kit
QwikCheck Beads Precision and Linearity Kit
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: AI analysis reveals two biologically distinct types of multiple sclerosis (Photo courtesy of Adobe Stock)

Blood Test Combined with MRI Brain Scans Reveals Two Distinct Multiple Sclerosis Types

Multiple sclerosis (MS) affects more than 2.8 million people worldwide, yet predicting how the disease will progress in individual patients remains difficult. Current MS classifications are based on clinical... Read more

Hematology

view channel
Image: Residual leukemia cells may predict long-term survival in acute myeloid leukemia (Photo courtesy of Shutterstock)

MRD Tests Could Predict Survival in Leukemia Patients

Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.