Biology subjects

SHEN, Y.

Publications and source records attributed to SHEN, Y..

4 recordsLinked to original sources

bioRxiv2026

Systematic toxicological study of PFOS/PFOA co-exposure driving prostate cancer: Core target identification, TME immune remodeling, and combination drug prediction

BackgroundPer- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), are persistent organic pollutants ubiquitous in the environment. Epidemiological evidence has closely linked them to an elevated risk of prostate cancer (PCa). However, the precise molecular mechanisms by which combined PFOS/PFOA exposure promotes prostate cancer and their dynamic effects on the tumor microenvironment remain unclear. MethodsThis study constructed a multi-module analytical framework integrating network pharmacology and computational biology: (1) Through ADMET toxicity prediction, multi-database target collection (three-way Venn analysis), panoramic GO/KEGG enrichment, focused androgen receptor (AR) axis analysis, GWAS genetic association validation, protein-protein interaction (PPI) network construction, machine learning-based independent screening, and a relaxed intersection strategy, we systematically identified PFOS/PFOA-prostate cancer core targets. (2) Subsequently, a PFAS-PTS score weighted purely by Cox coefficients was employed to drive gene set variation analysis (GSVA)-based pathway enrichment, tumor microenvironment (TME) deconvolution, ordinary differential equation (ODE)-based kinetic modeling, and drug intervention prediction. ResultsTarget collection identified 100 shared PFOS/PFOA-prostate cancer targets, from which 18 core targets were determined after multi-module screening. These targets were significantly enriched in the AR signaling axis, the PI3K-AKT pathway, and cell cycle regulation. Molecular docking confirmed strong binding affinities of PFOS/PFOA with AR (-9.49/-8.56 kcal/mol), AKT1 (-7.56/-6.93 kcal/mol), and PTEN (-6.36/-6.08 kcal/mol). GSVA revealed that the G2M checkpoint and E2F target gene pathways were significantly upregulated in the high-risk group (padj < 0.001), whereas the androgen response pathway was downregulated (padj = 4.8e-4). TME deconvolution (GSE141445, NNLS) revealed a significantly increased proportion of tumor cells (PCa) (p = 2.4e-4) and markedly reduced CD8+ T cell infiltration (p = 5.7e-4) in the high-risk group, indicating immunosuppressive microenvironment remodeling. ODE-based kinetic modeling confirmed that PFAS promoted tumor cell proliferation and suppressed immune surveillance in a dose-dependent manner. Drug intervention simulation demonstrated that the combination of enzalutamide and Alpelisib achieved optimal tumor cell inhibition (33.9% predicted by the ODE model). ConclusionPFOS/PFOA promote prostate cancer progression primarily through multi-target synergy involving AR axis disruption, PI3K-AKT pathway activation, and cell cycle dysregulation, while reshaping an immunosuppressive tumor microenvironment. The integrative computational framework established in this study provides systematic computational evidence for risk assessment and therapeutic intervention in PFAS-associated prostate cancer.

pharmacology and toxicology↗

bioRxiv2025

A bibliometric analysis of research on the mitochondrial roles in prostate cancer and the virtual design of LONP1 - specific antibodies using the GeoBiologics platform

BackgroundProstate cancer remains one of the most prevalent malignancies among men globally, with its incidence showing an upward trend worldwide. Mitochondria, as central regulators of cellular energy metabolism, play crucial roles in prostate cancer initiation, progression, and drug resistance mechanisms. While mitochondria-targeted therapeutic strategies have emerged as a significant focus in cancer research in recent years, comprehensive bibliometric analyses mapping the evolving landscape of this field remain scarce. This study systematically investigates research trends in mitochondrial-prostate cancer interactions through bibliometric methods, identifying LONP1 as an emerging research focus in mitochondria-related prostate cancer therapy. Building on these findings, we employed artificial intelligence to virtually design a LONP1-specific antibody, proposing novel therapeutic targeting strategies for this field. MethodsUtilizing the Web of Science Core Collection database (2015-2023), we conducted visualization analyses through CiteSpace and VOSviewer to map network relationships among countries, institutions, journals, authors, and keywords. Building on this foundation, a humanized antibody targeting LONP1 was computationally designed and screened through the GeoBiologics platform. ResultsAnalysis of 452 included publications revealed the United States and China as leading contributors in this research domain. The field has progressively transitioned from fundamental mechanistic investigations to clinical applications, particularly focusing on drug resistance mechanisms, and combination therapy. LONP1 was identified as a critical mitochondrial regulator strongly associated with prostate cancer progression. Our AI-designed antibody (Antibody_82) demonstrated superior binding affinity and stability through effective targeting of LONP1s ATP-binding site. ConclusionThis bibliometric study delineates evolving research trends in mitochondrial involvement in prostate cancer. The developed LONP1-targeting antibody shows promising therapeutic potential for castration-resistant prostate cancer (CRPC) patients, potentially offering more effective treatment alternatives.

cancer biology↗

bioRxiv2020

Fast and easy single-molecule pulldown assay based on agarose microbeads

The recently developed single-molecule pulldown (SiMPull) assay by Jain and colleagues is a highly innovative technique but its wide application is hindered by the high technical barrier and time consumption. We report an innovative, agarose microbead-based approach for SiMPull. We used commercially available, pre-surface-functionalized agarose microbeads to capture the protein of interest together with its binding partners specifically from cell extracts and observed these interactions under a microscope at the single-molecule level. Relative to the original method, microbead-based SiMPull is considerably faster, easier to use, and more reproducible and yet provides similar sensitivity and signal-to-noise ratio; specifically, with the new method, sample-preparation time is substantially decreased (from [~]10 to [~]3 h). These crucial features should facilitate wide application of powerful and versatile SiMPull in common biological and clinical laboratories. Notably, by exploiting the simplicity and ultrahigh sensitivity of microbead-based SiMPull, we used this method in the study of rare auditory hair cells for the first time.

biochemistry↗

bioRxiv2018

Molecular mechanism of the Orai channel activation

The Orai channel is characterized by voltage independence, low conductance and high Ca2+ selectivity and plays an important role in Ca2+ influx through the plasma membrane. How the channel is activated and promotes Ca2+ permeation are not well understood. Here, we report the crystal structure and cryo-electron microscopy reconstruction of a Drosophila melanogaster Orai mutant (P288L) channel that is constitutively active according to electrophysiology. The open state of the Orai channel showed a hexameric assembly in which six TM1 helices in the center form the ion-conducting pore, and six TM4 helices in the periphery form extended long helices. Orai channel activation requires conformational transduction from TM4 to TM1 and eventually causes the basic section of TM1 to twist outward. The wider pore on the cytosolic side aggregates anions to increase the potential gradient across the membrane and thus facilitate Ca2+ permeation. The open-state structure of the Orai channel offers insights into channel assembly, channel activation and Ca2+ permeation.

biochemistry↗