Russell C. Rockne

This study uses a 3D neural tissue model to show that extracellular vesicles from L-Myc neural stem cells promote recovery from chemotherapy- and radiation-induced neurotoxicity by modulating inflammatory and stress pathways.

This study identifies NEIL2 as a regulator of RNA polymerase II dynamics that suppresses transcription replication conflicts in pancreatic cancer cells.

This study shows that intranasal LMNSC01 treatment reduces neuroimmune and neurovascular dysfunction after TBI by modulating ICAM-1 and CX3CL1 expression in both male and female rats.

This paper develops a phenotype-structured model to study how proliferation heterogeneity affects tumor growth and treatment response, showing that optimal proliferation rates shift with tumor size and treatment regimes.

The paper develops a pipeline for protein-level cell annotation in human PBMCs using mass spectrometry-based single-cell proteomics and validates it on unsorted samples.

The paper uses a state-transition model to study transcriptome dynamics in AML, finding delayed miRNA responses and linking the Dlk1-Dio3 locus to treatment-induced desynchronization.

Combining 177Lu-PSMA-617 radioligand therapy with PSCA-CAR T cells improves tumor control and survival in prostate cancer models by overcoming antigen heterogeneity and reshaping the immunosuppressive tumor microenvironment.

The paper shows that clinically relevant leukemia phenotypes emerge at the macrostate level from single cell data, revealing how disease states aggregate from noisy single cell transcriptomes.

The paper develops an agent-based model to predict neural stem cell migration in mouse brains using multi-fiber tractography, showing injection location affects distribution and suggesting factors like chemotaxis may be important.

The paper measures ligand discrimination errors and molecular noise in immune cells of ER+ breast cancer patients compared to healthy controls using a communication model.

This study uses a mathematical model to analyze CAR T-cell and oncolytic virus dynamics in glioblastoma, identifying virus bursting size as a key determinant of combination therapy efficacy.

The paper uses MRI to predict glioblastoma invasion and progression by analyzing interstitial fluid flow patterns.

This study uses a mathematical model to explore combination CAR T-cell treatments for glioblastoma, showing that early intervention and spatially targeted delivery are effective strategies.

This study develops a computational model of the AML bone marrow microenvironment and shows that combining TKIs with miR-126 inhibition can overcome treatment resistance by disrupting the protective vascular niche.

The paper shows that lymphocytes and monocytes suppress IL-10R, IL-6R, and IL-2Rβγ signaling under high cytokine concentrations, mediated by cytokines that do not induce their own pSTATs.

This paper presents an organoid-based platform using L-MYC-immortalized human neural stem cells to model cerebral development in vitro, showing similar gene expression patterns to normal cortical development.

This paper develops a mathematical model to optimize targeted radionuclide therapy for multiple myeloma by identifying key principles for improving treatment efficacy while minimizing toxicity.

The paper profiles cytokine signaling responses in breast cancer patients and finds coordinated dysregulation across pathways and cell types, suggesting immune cell reprogramming and immunosuppression.

This study examines the structural and practical identifiability of compartment models used in DCE-MRI, showing that while all models are structurally identifiable, practical identifiability depends on data characteristics and noise levels.

The paper uses transcriptome-based state-transition models to predict CML disease progression and treatment response using time-sequential blood samples from mice.

The paper develops a Bayesian network analysis pipeline to identify immune signaling changes in GEA patients before and after immunotherapy, detecting signals missed by conventional methods.

This study shows that CAF-1 maintains myeloid lineage identity by regulating chromatin accessibility and transcription factor control during differentiation.

The paper introduces MultiCellDS, a standard and community-driven initiative for sharing multicellular data to enhance research in cell biology.

The paper introduces MultiCellDS, a standard for multicellular data curation, and presents MultiCellDB as a database to store associated data, enhancing data sharing and utility in biological and clinical research.

This paper tests a dendritic cell vaccine in multiple myeloma patients before and after AHCT to improve outcomes and uses a model to guide future trials.