Biomedical subjects

Christopher M Rose

Publications and source records attributed to Christopher M Rose.

3 recordsLinked to original sources

PubMed2026

Molecular mechanism of HUWE1-HAPSTR1-USP7-mediated ubiquitin chain amplification on nuclear proteins.

Rapid protein turnover is essential for cellular stress adaptation. HUWE1 (HECT, UBA, and WWE domain containing 1), a large HECT-type E3 ligase, regulates many short-lived stress-responsive proteins, yet the mechanisms underlying its substrate selectivity remain unclear. Here, we reveal that HUWE1 functions as a ubiquitin chain amplifier that captures pre-ubiquitinated substrates and amplifies the degradation signal by assembling long ubiquitin chains containing K11-K48 branch points, a process regulated by its partners HUWE1-associated protein stress response 1 (HAPSTR1) and USP7 (ubiquitin-specific-processing protease 7). Structural and biochemical analyses show that HAPSTR1 engages HUWE1's ubiquitin-binding motifs to drive nuclear import and modulate substrate recruitment. A cryo-EM structure of the HUWE1-USP7 complex reveals a bidirectional regulatory mechanism: HUWE1 activates USP7's catalytic activity, while USP7 modulates HUWE1 conformational states. Global proteomic analyses demonstrate that this axis drives extensive remodeling of the short-lived nuclear proteome. These findings establish the HUWE1-HAPSTR1-USP7 complex as a key ubiquitin code modifier, providing a molecular rationale for HUWE1 dysregulation in neurodevelopmental disorders and cancer.

Ubiquitin-Specific Peptidase 7↗

PubMed2026

BCDX2-CX3 and DX2-CX3 complexes assemble and stabilize RAD51 filaments.

The repair of DNA double-strand breaks by homologous recombination is essential for genomic integrity, and its dysregulation is a hallmark of cancer1. Central to homologous recombination is the RAD51 recombinase, whose assembly into a nucleoprotein filament is governed by five RAD51 paralogues (RAD51B, RAD51C, RAD51D, XRCC2 and XRCC3)2. Mutations in any of these proteins predispose individuals to multiple cancers or genetic disorders3-6. These paralogues are thought to form two functionally separate complexes RAD51B-RAD51C-RAD51D-XRCC2 (BCDX2) and RAD51C-XRCC3 (CX3), that act independently at different stages of homologous recombination7-11. Here we demonstrate that all five paralogues can assemble into a single, ATP-dependent BCDX2-CX3-RAD51 supercomplex. The architecture of this assembly bound to single-stranded DNA reveals a contiguous filament where the CX3 module stacks atop BCDX2, creating a protofilament template for RAD51 filament formation. We further identify a novel, RAD51B-independent DX2-CX3 complex (RAD51D-XRCC2-RAD51C-XRCC3) functioning as a stable RAD51 anchor on single-stranded DNA, and we capture it in multiple states, including capping RAD51 filament segment. These distinct assemblies are differentially regulated by ATPase activity, defining a dynamic BCDX2-CX3 'loader' and a stable DX2-CX3 'anchor' that provide functional modularity to the homologous recombination machinery. This work provides a unifying mechanism for human RAD51 paralogue function and delivers an atomic blueprint for interpreting disease-causing mutations.

Rad51 Recombinase↗

PubMed2025

Relative quantification of proteins and post-translational modifications in proteomic experiments with shared peptides: a weight-based approach.

MOTIVATION: Bottom-up mass spectrometry-based proteomics studies changes in protein abundance and structure across conditions. Since the currency of these experiments are peptides, i.e. subsets of protein sequences that carry the quantitative information, conclusions at a different level must be computationally inferred. The inference is particularly challenging in situations where the peptides are shared by multiple proteins or post-translational modifications. While many approaches infer the underlying abundances from unique peptides, there is a need to distinguish the quantitative patterns when peptides are shared. RESULTS: We propose a statistical approach for estimating protein abundances, as well as site occupancies of post-translational modifications, based on quantitative information from shared peptides. The approach treats the quantitative patterns of shared peptides as convex combinations of abundances of individual proteins or modification sites, and estimates the abundance of each source in a sample together with the weights of the combination. In simulation-based evaluations, the proposed approach improved the precision of estimated fold changes between conditions. We further demonstrated the practical utility of the approach in experiments with diverse biological objectives, ranging from protein degradation and thermal proteome stability, to changes in protein post-translational modifications. AVAILABILITY AND IMPLEMENTATION: The approach is implemented in an open-source R package MSstatsWeightedSummary. The package is currently available at https://github.com/Vitek-Lab/MSstatsWeightedSummary (doi: 10.5281/zenodo.14662989). Code required to reproduce the results presented in this article can be found in a repository https://github.com/mstaniak/MWS_reproduction (doi: 10.5281/zenodo.14656053).

Protein Processing, Post-Translational↗