New analytical method reveals how drug combinations act in leukemia – study opens the door to precision designed combinatorial therapies
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Jun-2026 16:16 ET (23-Jun-2026 20:16 GMT/UTC)
Acute myeloid leukemia (AML) remains one of the most difficult blood cancers to treat. Although drug combinations are often more effective than single agents, their true mechanisms of action have been poorly understood. A new study introduces CoPISA – the Combinatorial Proteome Integral Solubility/Stability Alteration analysis, a powerful high‑throughput proteomics workflow that uncovers how drug combinations reshape the soluble proteome in ways that single drugs cannot.
Researchers at the Icahn School of Medicine at Mount Sinai in New York have identified and described a previously unknown recessive neurodevelopmental disorder (NDD) that appears to be the most prevalent ever discovered. The condition is caused by changes in a small noncoding gene called RNU2-2. It is estimated to affect thousands of individuals in the United States and account for about 10 percent of all recessive NDD cases with a known genetic cause. The work was done in collaboration with U.S. collaborators in the Undiagnosed Diseases Network led by colleagues at Stanford University and international collaborators in the United Kingdom, the Netherlands, Belgium, and Italy. The findings, published in the March 30 issue of Nature Genetics [https://doi.org/10.1038/s41588-026-02539-5], provide long-awaited answers for many families and may inform future drug development.
Large-scale genomic analysis of Latin American cohort supports universal genetic architecture of autism and advances equity in precision medicine
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