Articles

Mar matters

Mount Sinai team demonstrates how rare mutations can be lost in stem cell disease modeling of psychosis
Written byKelsey Kaustinen
| 3 min read

NEW YORK—Stem cell-based disease models enable scientists to study disease on a cellular and genetic level by taking cells from patients and reprogramming them into human-induced pluripotent stem cells (hiPSCs), unspecialized cells that can differentiate into any kind of mature cell and renew themselves over long periods of time. A team from The Icahn School of Medicine at Mount Sinai working in the areas of schizophrenia, bipolar disorder and autism found that despite the benefits of stem cell-based disease modeling, there are some rare mutations that cannot be recreated in generated stem cells. This study, “Divergent Levels of Marker Chromosomes in an hiPSC-Based Model of Psychosis,” was published in Stem Cell Reports March 14.

To continue reading this article, subscribe for FREE toDrug Discovery News Logo

Subscribe today to keep up to date with the latest advancements and discoveries in drug development achieved by scientists in pharma, biotech, non-profit, academic, clinical, and government labs.

Add Drug Discovery News as a preferred source on Google

Add Drug Discovery News as a preferred Google source to see more of our trusted coverage.

About the Author

Here are some related topics that may interest you:

Subscribe to Newsletter

Subscribe to our eNewsletters

Stay connected with all of the latest from Drug Discovery News.

Subscribe

Sponsored

Abstract illustration of colorful spectral emission peaks.
As flow cytometry panels grow larger and more complex, thoughtful panel design has become critical for experimental success.
A scientist in a white lab coat looking into a microscope in a brightly lit modern laboratory.
Learn how developmental and reproductive toxicology study selection supports regulatory decision-making and generates meaningful nonclinical safety data.
Illustration of multiple three-dimensional patient-derived organoids suspended against a dark blue background, representing tumor models used in precision oncology research.
By combining organoid biology with precision automation, researchers developed a miniaturized organoid screening platform that could help speed personalized cancer treatment testing.