Histone Marks Profiling: Decoding Cellular Mechanisms in Congenital Rare Disorders Caused by
Pathogenic Variants in Chromatin-Modifier Genes
Rare
diseases individually affect fewer than 200,000 people but collectively impact
1 in 10 Americans, including 16 million children. Most lack treatments and
diagnosis can take five years—a critical delay since 30% of affected children
may not survive past age five.
Challenges
in diagnosing and treating rare pediatric disorders could be addressed by
grouping them based on shared characteristics. Different mutations may affect
the same biological process, leading to similar health issues. By targeting
these common processes instead of individual mutated genes, we can identify
therapies that benefit multiple rare diseases. Our project focuses on two rare
genetic disorders: Kabuki Syndrome and KAT6A Syndrome, which impair brain
development and can cause heart problems in children. These conditions result
from mutations in the genes KMT2D and KAT6A, which modify histone proteins that
regulate gene activity. However, how these mutations affect cell function is
not understood, obstructing the development of treatments and the ability to
predict disease progression.
We
aim to identify unique “fingerprints”—histone modification
patterns—caused by these mutations. Our method, EpiFlow, suggests that
mutations in KMT2D and KAT6A lead to specific histone patterns that vary by
cell type. We will investigate which histone changes result from reduced levels
of these proteins, how they impact different cell types, and whether each
patient has a unique pattern linked to disease severity. Our approach uses
lab-grown stem cells where we control KMT2D and KAT6A protein levels in brain
and heart precursor cells to study histone patterns. Additionally, we will
examine patient blood cells for unique histone patterns, analyze gene activity,
and identify DNA regions associated with the disease.
Our
research could help doctors predict the severity of Kabuki Syndrome and KAT6A
Syndrome in children, allowing for personalized care. By understanding the
cellular changes caused by these mutations, we aim to identify new targets for
future therapies, leading to better outcomes and improved quality of life for
affected children. Furthermore, our findings could enhance understanding of
other rare diseases that affect similar biological processes, potentially
benefiting a broader range of patients.