Stefan Hüttelmaier

The paper introduces DIFFRACT, a framework that uses local fractal dimension changes in protein interaction networks to detect functional reorganization, showing its utility in identifying novel biological roles in RAVER1-deficient cells.

This study identifies IGF2BP1 as a regulator of mitotic integrity in CRC, showing that its inhibition creates a therapeutic vulnerability that synergizes with paclitaxel.

This study identifies functional enhancer dependencies in pediatric AML using an integrative approach, revealing H-ME as an RNA-independent regulator of MYB.

This study identifies SNHG29 and IGF2BP1 as a lineage-specific oncogenic circuit in AMKL, showing their dependency and therapeutic vulnerability.

This study identifies the TACR3 variant rs2765 as protective against age- and Alzheimer's-related cognitive decline, showing slower cognitive decline and younger epigenetic age in carriers.

The paper analyzes codon usage patterns in pancreatic cancer to show how oncogenic gene expression is systematically optimized through GC content, preferred codons, and cost-effective amino acids.

The paper maps the human protein interactome onto a hyperbolic representation to analyze how intrinsic disorder and structure-mediated interactions influence network organization and molecular functions.

The paper compiles a gene set collection of RBP target genes derived from eCLIP-seq data to enable functional enrichment analysis of gene lists.

CENTRA uses gene co-occurrence networks from literature to identify functional master regulators by analyzing centrality and fractality in topic-specific contexts.

This study shows RNA-seq-derived sequence variations can reliably identify cell lines and detect cross-contamination using machine learning.

This study identifies FAM30A as a regulator of LSC function in AML by interacting with MSI2 and RUNX1, enhancing stemness and chemoresistance.

This paper investigates RAVER1's role in controlling alternative splicing and its impact on miR/RISC activity and EMT in cancer cells.

The paper improves m6A RNA modification detection using miCLIP2 and m6Aboost, identifying thousands of high-confidence sites in human and mouse cells without requiring Mettl3 depletion.

The paper identifies the combinatorial RNA recognition code of IMP3 using an integrative approach combining SELEX-seq, iCLIP, and structural analysis.