Frank Stein

This study investigates the role of KREH1's C-terminus in RNA binding and its interaction with mitochondrial RNA editing complexes in T. brucei.

This study identifies STX, a non-steroidal estrogenic compound, as targeting mitochondrial VDAC2 to enhance bioenergetics and provide neuroprotection in hypothalamic POMC neurons.

This study shows that the flexibility of the central pore in the ESX-5 type VII secretion system is essential for efficient substrate translocation, as rigidification of key residues impairs secretion.

This study shows that aging podocytes lose nuclear-cytoplasmic compartmentalization, leading to metabolic and transcriptional dysregulation.

This study identifies PfVPS13L1 as a critical lipid transfer protein in malaria parasites that facilitates lipid transfer from the ER to the inner membrane complex, essential for schizogony.

This study identifies MLP as a non-canonical RNA-binding protein in cardiomyocytes and shows its RNA-dependent interaction with cytoskeletal complexes.

This study shows that loss of eEF1A2 in cardiomyocytes causes cardiomyopathy through proteostasis defects, and mTORC1 inhibition can reverse the condition.

This study identifies an ancient monoaminergic system in sponges that coordinates contractility through tryptamine signaling, predating neurons.

This paper describes a protocol for profiling lipid-protein interactions using multifunctional lipid probes and provides methods for conjugate preparation and proteomic analysis.

The paper investigates how ClC-5 mutations affect renal proximal tubule function and Dent's Disease type I by analyzing intracellular retention, interactome partners, and cellular phenotypes.

The paper identifies conserved matrisomal networks in sea anemones that coordinate life history transitions through proteomic and transcriptomic analysis.

This paper uses time-resolved multi-omics analysis of kidney fibrosis to identify novel mechanisms and validate transcription factors involved in collagen deposition.

The paper identifies lipoamide as a small molecule that dissolves stress granules and improves outcomes in ALS models by modulating redox-sensitive proteins.

The paper shows UBE3C regulates cortical neurogenesis and glial fate through m6A methylation, with mutations disrupting this process and offering therapeutic targets.

The paper curates a cross-species multimodal database of gene expression in cardiac hypertrophy and introduces an interactive web tool for exploring gene expression across multiple omics layers.

The paper identifies proteins interacting with the AtGRP7 mRNA in Arabidopsis using enhanced RNA interactome capture, revealing ALBA proteins as binders.

The paper identifies RNA-binding proteins involved in heterocyst differentiation in cyanobacteria using mass spectrometry and bioinformatics, revealing a new master regulator.

The paper identifies an ancient relaxant-inflammatory response in sponges during deflation, driven by actomyosin relaxation and associated with inflammation-like states.

The paper synthesizes three palmitic acid derivatives with diazirine at different positions and shows that end-position diazirines crosslink distinct protein subsets.

The paper characterizes RNA-binding protein landscapes in mouse organs using ex vivo eRIC, identifying over 1300 RBPs, many not previously found in cultured cells.

This study shows that temporarily inhibiting protein translation after heart attack reduces inflammation and improves long-term heart function by targeting the mTORC1-4EBP1-eIF4F pathway.

The paper characterizes aggregation and disaggregation of proteins in human cells after heat shock, identifying factors influencing these processes and their implications for protein quality control.

This study shows that long-term synaptic depression triggers local autophagic vesicle biogenesis in dendrites, which is essential for synaptic remodeling and cognitive flexibility.

The paper systematically maps the functional role of phosphorylation by analyzing phospho-deficient mutants in yeast and linking yeast phenotypes to human functional relevance.

The paper creates a comprehensive human phosphoproteome by integrating 6,801 phospho-enriched mass spectrometry experiments and prioritizes functional phosphosites using machine learning.