Biology subjects

Lin, T.-J.

Publications and source records attributed to Lin, T.-J..

4 recordsLinked to original sources

bioRxiv2025

Protein corona formed on lipid nanoparticles compromises delivery efficiency of mRNA cargo

Lipid nanoparticles (LNPs) are the most clinically advanced nonviral RNA-delivery vehicles, though challenges remain in fully understanding how LNPs interact with biological systems. In vivo, proteins form an associated corona on LNPs that redefines their physicochemical properties and influences delivery outcomes. Despite its importance, the LNP protein corona is challenging to study owing to the technical difficulty of selectively recovering soft nanoparticles from biological samples. Herein, we developed a quantitative, label-free mass spectrometry-based proteomics approach to characterize the protein corona on LNPs. Critically, this protein corona isolation workflow avoids artifacts introduced by the presence of endogenous nanoparticles in human biofluids. We applied continuous density gradient ultracentrifugation for protein-LNP complex isolation, with mass spectrometry for protein identification normalized to protein composition in the biofluid alone. With this approach, we quantify proteins consistently enriched in the LNP corona including vitronectin, C-reactive protein, and alpha-2-macroglobulin. We explore the impact of these corona proteins on cell uptake and mRNA expression in HepG2 human liver cells, and find that, surprisingly, increased levels of cell uptake do not correlate with increased mRNA expression in part likely due to protein corona-induced lysosomal trafficking of LNPs. Our results underscore the need to consider the protein corona in the design of LNP-based therapeutics. Abstract Figure O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=58 SRC="FIGDIR/small/633942v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@2fef29org.highwire.dtl.DTLVardef@fe7613org.highwire.dtl.DTLVardef@1f9de01org.highwire.dtl.DTLVardef@15e5237_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2024

Deep profiling of plant stress biomarkers following bacterial pathogen infection with protein corona based nano-omics

Detection and remediation of stress in crops is vital to ensure agricultural productivity. Conventional forms of assessing stress in plants are limited by feasibility, delayed phenotypic responses, inadequate specificity, and lack of sensitivity during initial phases of stress. While mass spectrometry is remarkably precise and achieves high-resolution, complex samples, such as plant tissues, require time-consuming and biased depletion strategies to effectively identify low-abundant stress biomarkers. Here, we bypassed these reduction methods via a nano-omics approach, where gold nanoparticles were used to enrich time- and temperature-dependent stress-related proteins through biomolecular corona formation that were subsequently analyzed by ultra-high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS). This nano-omic approach was more effective than a conventional proteomic analysis using UHPLC- MS/MS for resolving biotic-stress induced responses at early stages of pathogen infection in Arabidopsis thaliana, well before the development of visible phenotypic symptoms, as well as in distal tissues of pathogen infected plants at early timepoints. The enhanced sensitivity of this nano-omic approach enables the identification of stress-related proteins at early critical timepoints, providing a more nuanced understanding of plant-pathogen interactions that can be leveraged for the development of early intervention strategies for sustainable agriculture.

plant biology↗

bioRxiv2024

Quantifying Data Distortion in Bar Graphs in Biological Research

Over 88% of biological research articles use bar graphs, of which 29% have undocumented data distortion mistakes that over- or under-state findings. We developed a framework to quantify data distortion and analyzed bar graphs published across 3387 articles in 15 journals, finding consistent data distortions across journals and common biological data types. To reduce bar graph-induced data distortion, we propose recommendations to improve data visualization literacy and guidelines for effective data visualization.

scientific communication and education↗

bioRxiv2022

Structural analyses of the plant PRT6-UBR box in the Cys-Arg/N-degron pathway and insights into the plant submergence response

The submergence response in higher plants is highly dependent on the protein stability of group VII ethylene response factors, which are primarily degraded through the oxygen-dependent Cys-Arg branch of the N-degron pathway of targeted proteolysis. Knockout of PRT6, an E3 ligase and a vital component of the N-degron pathway, improves submergence tolerance in Arabidopsis and barley but is associated with side effects such as germination deficiency. In this study, we determined structures of rice and Arabidopsis PRT6-UBR box in complex with various Arg/N-degron related peptides. We identified two highly conserved motifs in the plant PRT6-UBR box, which is responsible for Cys-Arg/N-degron recognition. Structural and mutagenesis studies revealed the importance of two conserved motifs for Cys-Arg/N-degron recognition. The phenotype of Arabidopsis seedlings with PRT6-UBR mutants in these newly identified conserved motifs showed superior submergence survival suggesting that rational manipulation of the PRT6-UBR box can improve flood tolerance. Our results provide an engineering platform for generating crops with improved submergence tolerance.

biochemistry↗