John F. DiPersio

Defining the RNA Modification Landscape of Multiple Myeloma Reveals METTL3-Dependent m6A Regulation of NEAT1

The paper defines the RNA modification landscape in multiple myeloma, identifying m6A modifications on lncRNAs and showing METTL3-dependent regulation of NEAT1 affecting MM cell survival.

Advanced Deep Learning Enables Prediction of Allogeneic Stem Cell Mobilization Success

This paper develops machine learning models to predict donor success in stem cell mobilization using clinical data, enabling early intervention and personalized strategies.

A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma

The paper characterizes immune microenvironment dysregulation in multiple myeloma using single-cell data and links it to disease progression and patient outcomes.

LINC01432 binds to CELF2 in newly diagnosed multiple myeloma promoting short progression-free survival to standard therapy

This study identifies LINC01432 as a lncRNA that binds to CELF2 and inhibits apoptosis in multiple myeloma, contributing to short progression-free survival to standard therapy.

Somatic mutation phasing and haplotype extension using linked-reads in multiple myeloma

This study uses linked-read sequencing to phase somatic mutations in multiple myeloma, extending haplotype blocks and revealing phasing patterns in key mutated genes.