Biology subjects

Drown, B. S.

Publications and source records attributed to Drown, B. S..

5 recordsLinked to original sources

bioRxiv2026

Multiomic Profiling Links RDH12-Dependent Retinaldehyde Detoxification to Membrane Remodeling and Ferroptosis

All-trans-retinal (atRAL) is a photoreactive aldehyde generated during visual pigment regeneration, and impaired atRAL clearance contributes to oxidative stress and retinal degeneration. Retinol dehydrogenase 12 (RDH12) reduces atRAL to all-trans-retinol, yet the temporal mechanisms linking its upstream enzymatic activity to downstream cellular stress adaptations remain poorly defined. Here, we utilized stable RDH12-expressing HEK293T cells to match proteomic and lipidomic profiles and performed cell viability assays to map the transition from acute atRAL stress to cellular recovery. RDH12 expression increased cellular tolerance to retinaldehyde-induced cytotoxicity. Acute atRAL exposure engaged the supply arm of the KEAP1-NRF2 program with increased HMOX1, SLC7A11, GCLC, MGST2, and MGST3, while the terminal glutathione peroxidase arm declined. Acute exposure was accompanied by membrane remodeling, indicated by increased glycerophospholipid enzyme abundance and increased stress-signaling ceramides and lysophosphatidylcholines. Concurrently, acute stress induced upregulation of the transferrin receptor (TFRC) and SLC11A2, which influence intracellular iron flux and enable Fenton chemistry that can lead to oxidative stress. During recovery, RDH12-expressing cells exhibited a distinct post-atRAL molecular state characterized by increased abundance of phosphatidylcholines (PCs) and ether-linked PCs, and proteome changes associated with cytoskeletal organization and antioxidant processes. Furthermore, we performed a pharmacological rescue with Ferrostatin-1, which indicated that atRAL-induced cytotoxicity in RDH12-expressing cells is dependent, in part, on lipid radical propagation and lipid peroxidation, supporting ferroptosis-regulated cell death. Collectively, the multiomics and biological findings establish a novel temporal sequence for retinaldehyde toxicity, showing that RDH12 is a critical component of upstream metabolic defense for acute aldehyde clearance, late-stage lipid detoxification, and adaptive membrane lipid homeostasis.

cell biology↗

bioRxiv2026

Protein Aggregation Capture for Top-down Proteomics

Proteins are dynamically regulated by a myriad of post-translational modifications (PTMs) that control their stability, conformation, activity, subcellular localization, and local interactions. Capturing the precise composition of these various modification states, or proteoforms, is a principal objective of top-down proteomics (TDP). By ionizing intact proteoforms and combining measurements of precursor ion and fragment ion masses, the position, stoichiometry, and combination of PTMs can be determined. Despite the highly valuable measurements that TDP can provide, it is typically less sensitive than corresponding peptide-level analysis with many reports utilizing input material in the microgram to milligram range.1,2 Contributing to this lack of sensitivity is the risk of sample loss due to non-specific binding to surfaces during sample preparation. The most widely employed sample preparation approaches for TDP either require high sample input (e.g. precipitation and ultra-filtration) or fail to effectively remove surfactants (e.g. solid-phase extraction). These limitations have hindered advancement of targeted TDP applications involving immunoprecipitation and other enrichment strategies. Bead-assisted protein aggregation, also referred to as single-pot, solid-phase-enhanced sample preparation (SP3), has emerged as a popular sample preparation strategy for bottom-up proteomic workflows,3,4 but has only been used in TDP with secondary ion exchange chromatography cleanup.5 We envisioned a magnetic bead based protein cleanup approach that proceeds directly to MS analysis with judicious choice of bead surface chemistry and elution conditions. Here we report a sample preparation method using hydroxyl-functionalized magnetic beads for top-down proteomics applications.

biochemistry↗

bioRxiv2025

Feedback from the Nascent Chain Triggers Ribosomal Frameshifting and Transcript Decay

Though ribosomes have several features that help them maintain their reading frame, these safeguards can be bypassed by RNA structures that promote -1 programmed ribosomal frameshifting (-1PRF). We recently found that conformational transitions in the nascent polypeptide can enhance -1PRF, though its unclear whether this feedback plays a general role in translational recoding. Here we demonstrate that the translocation of nascent transmembrane domains is sufficient to induce -1PRF during the decoding of slippery heptamers. We identify thousands of motifs that potentially trigger -1PRF along with proteomic identifications of 33 predicted human frameshift products. We also identify thousands of splicing-dependent motifs and demonstrate that the splicing-mediated reconfiguration of transmembrane domains alters -1PRF. Finally, we show that most transcripts bearing these motifs are sensitive to the nonsense-mediated decay regulator UPF1, suggesting they modulate mRNA turnover. Our findings show that the misassembly of growing polypeptides can trigger -1PRF, premature termination, and transcript decay.

biochemistry↗

bioRxiv2023

MSModDetector: A Tool for Detecting Mass Shifts and Post-Translational Modifications in Individual Ion Mass Spectrometry Data

MotivationPost-translational modifications (PTMs) on proteins regulate protein structures and functions. A single protein molecule can possess multiple modification sites that can accommodate various PTM types, leading to a variety of different patterns, or combinations of PTMs, on that protein. Different PTM patterns can give rise to distinct biological functions. To facilitate the study of multiple PTMs, top-down mass spectrometry (MS) has proven to be a useful tool to measure the mass of intact proteins, thereby enabling even widely separated PTMs to be assigned to the same protein molecule and allowing determination of how many PTMs are attached to a single protein. ResultsWe developed a Python module called MSModDetector that studies PTM patterns from individual ion mass spectrometry (I MS) data. I MS is an intact protein mass spectrometry approach that generates true mass spectra without the need to infer charge states. The algorithm first detects and quantifies mass shifts for a protein of interest and subsequently infers potential PTM patterns using linear programming. The algorithm is evaluated on simulated I MS data and experimental I MS data for the tumor suppressor protein p53. We show that MSModDetector is a useful tool for comparing a proteins PTM pattern landscape across different conditions. An improved analysis of PTM patterns will enable a deeper understanding of PTM-regulated cellular processes. AvailabilityThe source code is available at https://github.com/marjanfaizi/MSModDetector together with the scripts used for analyses and to generate the figures presented in this study.

bioinformatics↗

bioRxiv2021

Direct Imaging and Identification of Proteoforms up to 70 kDa from Human Tissue

Imaging of proteoforms in human tissues is hindered by low molecular specificity and limited proteome coverage. Here, we introduce proteoform imaging mass spectrometry (PiMS), which increases the size limit for proteoform detection and identification by 4-fold compared to reported methods, and reveals tissue localization of proteoforms at <80 m spatial resolution. PiMS advances proteoform imaging by combining ambient nanospray desorption electrospray ionization (nano-DESI) with ion detection using individual ion mass spectrometry (I2MS). We demonstrate the first proteoform imaging of human kidney, identifying 169 of 400 proteoforms <70 kDa using top-down mass spectrometry and database lookup from the human proteoform atlas, including dozens of key enzymes in primary metabolism. PiMS images reveal distinct spatial localizations of proteoforms to both anatomical structures and cellular neighborhoods in the vasculature, medulla, and cortex regions of the human kidney. The benefits of PiMS are poised to increase proteome coverage for label-free protein imaging of tissues. TeaserNano-DESI combined with individual ion mass spectrometry generates images of proteoforms up to 70 kDa.

biochemistry↗