Biology subjects

Rogers, H. T.

Publications and source records attributed to Rogers, H. T..

8 recordsLinked to original sources

bioRxiv2026

Integrated Multi-Omics Enabled by Sequential Extraction for Comprehensive Molecular Profiling of Small Extracellular Vesicles

Small extracellular vesicles (sEVs) are membrane-bound particles whose protein, lipid, and metabolite cargo reflects the molecular state of their cells of origin, making them attractive targets for biomarker discovery and therapeutic development. However, comprehensive characterization of sEVs remains challenging due to the extremely limited material available. Here, we present an integrated mass spectrometry-based multi-omics platform for simultaneous characterization of lipids, metabolites, and proteins from a single sEV sample enabled by sequential extraction, maximizing sample utilization. To enhance molecular coverage and analytical depth, the platform combines iterative tandem mass spectrometry for improved small-molecule fragmentation and nano-flow proteomics with data-independent acquisition. We achieved deep and reproducible multi-omic characterization of proteins, lipids, and metabolites using 10 million sEVs. We further demonstrated the compatibility of our multi-omics platform with sEVs isolated from plasma by ultracentrifugation, size-exclusion chromatography with ultrafiltration, and polymer precipitation, revealing purification-dependent differences in molecular profiles associated with tradeoffs in yield and purity of sEVs. By enabling integrated multi-omics from the same sample, this strategy addresses a key challenge in low-input sEV analysis and establishes a robust analytical foundation for synergistic biomarker discovery and therapeutic applications.

biochemistry↗

bioRxiv2025

Proteoform-Resolved Phosphorylation Dynamics in Kinase Complexes by Hybrid Precision Mass Spectrometry

Protein kinases integrate cellular signals through complex phosphorylation cascades, yet resolving how chemical perturbations trigger and modulate these cascades in therapeutic targets remains a major challenge. Here, we dissect AMP-activated protein kinase (AMPK) proteoforms during activation through controlled biochemical reactions with a hybrid mass spectrometry (MS) approach integrating bottom-up MS for site-specific kinetics with top-down proteoform characterization. We reveal that AMPK phosphorylation proceeds through hierarchical cascades rather than binary switching, with dual entry points: canonical CaMKK2-mediated phosphorylation or allosteric activator PF-739 both triggering extensive autophosphorylation with 1-S496 showing highest kinetic priority. Proteoform-resolved analysis uncovers channeled {beta}1-S24/25+S108 co-phosphorylation linking subcellular localization with allosteric responsiveness. Site-directed mutagenesis demonstrates CaMKK2 targets only 1-T183, with all other modifications arising through autophosphorylation. Phosphatase competition reveals asymmetric control where PP1A selectively removes activation-loop phosphorylation while autophosphorylation sites remain protected, establishing persistent regulatory states. Resolving AMPKs temporal kinetics and proteoform architecture during activation enables a proteoform-centric understanding on kinase regulation.

biochemistry↗

bioRxiv2025

Extracellular Matrix Alterations in Chronic Ischemic Cardiomyopathy Revealed by Quantitative Proteomics

Ischemic cardiomyopathy (ICM) is a leading cause of heart failure characterized by extensive remodeling of the cardiac extracellular matrix (ECM). While initially adaptive, ECM deposition following ischemic injury eventually turns maladaptive, promoting adverse cardiac remodeling. The strong link between the extent of fibrosis and adverse clinical outcomes has led to growing interest in ECM targeted therapies to prevent or reverse maladaptive cardiac remodeling in ICM; yet, the precise composition of the ECM in ICM remains poorly defined. In this study, we employed a sequential protein extraction enabled by the photocleavable surfactant Azo to enrich ECM proteins from left ventricular tissues of patients with end-stage ICM (n=16) and nonfailing donor hearts (n=16). High-resolution mass spectrometry-based quantitative proteomics identified and quantified over 6,000 unique protein groups, including 315 ECM proteins. We discovered significant upregulation of key ECM components, particularly glycoproteins, proteoglycans, collagens, and ECM regulators. Notably, LOXL1, FBLN1, and VCAN were among the most differentially expressed. Functional enrichment analyses revealed enhanced TGF{beta} signaling, integrin-mediated adhesion, and complement activation in ICM tissues, suggesting a feedback loop driving continued ECM deposition in the end-stage failing heart. Together, our findings provide a comprehensive proteomic landscape of ECM alterations in the end-stage ICM myocardium and identify promising molecular targets for therapeutic intervention.

biochemistry↗

bioRxiv2025

Structural Heterogeneity of Proteoform-Ligand Complexes in AMP-Activated Protein Kinase Uncovered by Integrated Top-Down Mass Spectrometry

AMP-activated protein kinase (AMPK) is a heterotrimeric complex ({beta}{gamma}) that serves as a master regulator of cellular metabolism, making it a prominent drug target for various diseases. Post-translational modifications (PTMs) and ligand binding significantly affect the activity and function of AMPK. However, the dynamic interplay of PTMs, non-covalent interactions, and higher-order structures of the kinase complex remains poorly understood. Herein, we report the structural heterogeneity of the AMPK complex arising from ligand binding and proteoforms--protein products derived from PTMs, alternative splicing, and genetic variants--using integrated native and denatured top-down mass spectrometry (TDMS). The fully intact AMPK heterotrimeric complex exhibits heterogeneity due to phosphorylation and multiple adenosine monophosphate (AMP) binding states. Native TDMS delineates the subunit composition, AMP binding stoichiometry, and higher-order structure of AMPK complex, whilst denatured TDMS comprehensively characterizes the proteoforms and localizes the phosphorylation site. This is the first study to structurally characterize AMPK proteoform-ligand complexes. Notably, by integrating native TDMS and AlphaFold, we elucidate a flexibly connected regulatory region of AMPK {beta} subunit that has been difficult to visualize with traditional structural biology tools. Our findings uncover previously unresolvable structural features of AMPK, offer new perspectives on protein kinase regulation, and establish a versatile framework for comprehensive characterization of proteoform-ligand complexes.

biochemistry↗

bioRxiv2025

Native Top-Down Proteomics of Endogenous Protein Complexes Enabled by Online Two-Dimensional Liquid Chromatography

Protein complexes are essential for virtually all biological processes, yet their structural characterization remains a major challenge due to their heterogeneous, dynamic nature and the complexity of the proteome. Native top-down mass spectrometry (nTDMS) has emerged as a powerful tool for comprehensive structural characterization of purified protein complexes, but its application to endogenous protein complexes in the proteome is challenging and typically requires labor-intensive and time-consuming prefractionation. Here, for the first time, we develop a nondenaturing online two-dimensional liquid chromatography (2D-LC) method for native top-down proteomics (nTDP), enabling high-throughput structural analysis of endogenous protein complexes. The automated, online interfacing of size-exclusion and mixed-bed ion-exchange chromatography achieves high coverage of endogenous protein complexes. We further develop a multistage nTDMS approach that enables comprehensive structural characterization within the chromatographic timescale, capturing intact non-covalent complexes, released subunits/cofactors, and backbone fragments. Our analysis detected 133 native proteoforms and endogenous protein complexes (up to 350 kDa) from human heart tissue in less than two hours. Such technological leaps in high-throughput structural characterization of endogenous protein complexes will advance large-scale nTDP studies in health and disease.

biochemistry↗

bioRxiv2024

In-depth Characterization of S-Glutathionylation in Ventricular Myosin Light Chain 1 Across Species by Top-Down Proteomics

S-glutathionylation (SSG) is increasingly recognized as a critical signaling mechanism in the heart, yet SSG modifications in cardiac sarcomeric proteins remain understudied. Here we identified SSG of the ventricular isoform of myosin light chain 1 (MLC-1v) in human, swine, and mouse cardiac tissues using top-down mass spectrometry (MS)-based proteomics. Our results enabled the accurate identification, quantification, and site-specific localization of SSG in MLC-1v across different species. Notably, the endogenous SSG of MLC-1v was observed in human and swine cardiac tissues but not in mice. Treating non-reduced cardiac tissue lysates with GSSG elevated MLC-1v SSG levels across all three species.

biochemistry↗

bioRxiv2023

Comprehensive Characterization of Endogenous Phospholamban Proteoforms Enabled by Photocleavable Surfactant and Top-down Proteomics

Top-down mass spectrometry (MS)-based proteomics has become a powerful tool for analyzing intact proteins and their associated post-translational modification (PTMs). In particular, membrane proteins play critical roles in cellular functions and represent the largest class of drug targets. However, the top-down MS characterization of endogenous membrane proteins remains challenging, mainly due to their intrinsic hydrophobicity and low abundance. Phospholamban (PLN) is a regulatory membrane protein located in the sarcoplasmic reticulum and is essential for regulating cardiac muscle contraction. PLN has diverse combinatorial PTMs and their dynamic regulation has significant influence on cardiac contractility and disease. Herein, we have developed a rapid and robust top-down proteomics method enabled by a photocleavable anionic surfactant, Azo, for the extraction and comprehensive characterization of endogenous PLN from cardiac tissue. We employed a two-pronged top-down MS approach using an online reversed-phase liquid chromatography tandem MS (LC-MS/MS) method on a quadrupole time-of-flight (Q-TOF) MS and a direct infusion method via an ultrahigh-resolution Fourier-transform ion cyclotron resonance (FTICR) MS. We have comprehensively characterized the sequence and combinatorial PTMs of endogenous human cardiac PLN. We have shown the site-specific localization of phosphorylation to Ser16 and Thr17 by MS/MS for the first time and the localization of S-palmitoylation to Cys36. Taken together, we have developed a streamlined top-down targeted proteomics method for comprehensive characterization of combinatorial PTMs in PLN toward better understanding the role of PLN in cardiac contractility.

biochemistry↗

bioRxiv2023

MASH Native: A Unified Solution for Native Top-Down Proteomics Data Processing

Native top-down proteomics (nTDP) integrates native mass spectrometry (nMS) with top-down proteomics (TDP) to provide comprehensive analysis of protein complexes together with proteoform identification and characterization. Despite significant advances in nMS and TDP software developments, a unified and user-friendly software package for analysis of nTDP data remains lacking. Herein, we have developed MASH Native to provide a unified solution for nTDP to process complex datasets with database searching capabilities in a user-friendly interface. MASH Native supports various data formats and incorporates multiple options for deconvolution, database searching, and spectral summing to provide a one-stop shop for characterizing both native protein complexes and proteoforms. The MASH Native app, video tutorials, written tutorials and additional documentation are freely available for download at https://labs.wisc.edu/gelab/MASH_Explorer/MASHNativeSoftware.php. All data files shown in user tutorials are included with the MASH Native software in the download .zip file.

bioinformatics↗