Ask about this productRelated genes to: DSTN antibody
- Gene:
- DSTN NIH gene
- Name:
- destrin, actin depolymerizing factor
- Previous symbol:
- -
- Synonyms:
- ADF, ACTDP
- Chromosome:
- 20p12.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-12-07
- Date modifiied:
- 2016-04-05
Related products to: DSTN antibody
Related articles to: DSTN antibody
- Head and neck squamous cell carcinoma (HNSCC) is the most common malignant tumor of the head and neck tissues. Disulfidptosis is a novel form of programmed cell death caused by disulfide stress, which mainly manifests as cytoskeleton protein and F-actin breakdown. In this study, we collected 504 HNSCC patients' data from The Cancer Genome Atlas (TCGA) database and constructed a prognostic disulfidptosis-related gene signature for HNSCC patients. Destrin (DSTN), an actin depolymerizing factor, was considered a reliable prognostic biomarker, with its high expression significantly associated with shorter overall survival (OS) and progression-free survival (PFS). Functional enrichment analysis revealed that DSTN was positively correlated with extracellular matrix (ECM)-related genes, and particularly enriched in ECM degradation pathways and matrix metalloproteinase (MMP) family members, such as MMP10 and MMP3. qPCR and Western blot results showed that knockdown of DSTN inhibited the expression of ECM-related genes MMP10 and MMP3 in HNSCC cells. Tumor immune microenvironment analysis revealed that DSTN was negatively correlated with infiltration levels of various immune cells, immune checkpoints, and tumor mutational burden (TMB). Co-culture experiment of H9 cells with HNSCC cells further demonstrated that DSTN knockdown significantly upregulated the CD274 expression in HNSCC cells. In vitro functional experiments showed that DSTN knockdown effectively inhibited HNSCC cell proliferation and migration, suppressed glucose metabolism, and blocked Wnt/β-catenin signaling pathway activation; additionally, it induced F-actin contraction, triggering disulfidptosis. In vivo xenograft experiments confirmed that DSTN knockdown significantly inhibited HNSCC tumor growth. In conclusion, this study demonstrates that DSTN is a key driver promoting the malignant progression of HNSCC; high DSTN expression indicates poor prognosis, while its downregulation exerts tumor-suppressive effects through multiple mechanisms, including inhibiting the secretion of MMPs, suppressing glucose metabolism, blocking the Wnt/β-catenin signaling pathway, and inducing disulfidptosis. - Source: PubMed
Publication date: 2026/05/08
Peng XingzhiChen LikangZhang JingYang LifangWu Xia - Diabetic foot ulcer (DFU) is one of the most common and severe complications of diabetes, with vascular changes, neuropathy, and infections being the primary pathological mechanisms. Disulfidptosis, a recently identified form of programmed cell death, might be involved in the development of diabetic complications. This study aims to identify and validate potential disulfidptosis biomarkers associated with DFU through bioinformatics and machine learning analysis. - Source: PubMed
Publication date: 2025/10/08
Li JIeShi HongshuoCao Yemin - Accurately registering breast MR imagesfrom different time points enables the alignment of anatomical structures and tracking of tumor progression, sup porting more effective breast cancer detection, diagnosis, and treatment planning. However, the complexity of dense tissue and its highly non-rigid nature pose challenges for conventional registration methods, which primarily focus on aligning general structures while overlooking intricate internal details. To address this, we propose GuidedMorph, a novel two-stage registration framework designed to better align dense tissue. In addition to a single-scale network for global structure alignment, we introduce a framework that utilizes dense tissue information to track breast movement. The learned transformation fields are fused by introducing the Dual Spatial Transformer Network (DSTN), improving overall alignment accuracy. A novel warping method based on the Euclidean distance transform (EDT) is also proposed to accurately warp the registered dense tissue and breast masks, preserving fine structural details during deformation. It also operates effectively with the VoxelMorph and TransMorph backbones, offering a versatile solution for breast registration. We validate our method on ISPY2 and internal dataset, demonstrating superior performance in dense tissue, overall breast alignment, and breast structural similarity index measure (SSIM), with notable improvements by over 20.9% in dense tissue Dice, 2.1% in breast Dice, and 3.5% in breast SSIM compared to the best baseline. The code is available at https://github.com/mazurowski-lab/GuidedMorph.git. - Source: PubMed
Publication date: 2025/12/24
Chen YaqianGu HanxueDong HaoyuLi QihangChen YuwenKonz NicholasLi LinMazurowski Maciej A - Dengue virus (DENV) remains a pervasive global health threat, further complicated by the occurrence of neutropenia-a distinct clinical feature indicative of an altered host immune response, closely correlated with progressive disease deterioration and increased severity. Nevertheless, the molecular mechanisms underlying dengue-associated neutropenia remain inadequately elucidated. In this study, the comprehensive plasma proteomic profiling of dengue fever (DF) patients, DF patients with neutropenia (DFN), and healthy controls (HC) was systematically analyzed using a deep data-independent acquisition (DIA) workflow combined with LC-MS/MS analysis, to elucidate key cellular pathways and identify promising biomarkers. DFN patients exhibited significant dual hematological alterations, with notable changes in both platelet and neutrophil counts, reflecting a complex disturbance in hematological homeostasis during dengue progression. DIA analysis quantified 2475 proteins, revealing widespread proteomic alterations among the DF, DFN, and HC subjects. Differential analysis highlighted significant fluctuations in proteins related to cytoskeletal organization, metabolic regulation, and intracellular signaling. Enrichment analyses implicated pathways such as focal adhesion, platelet activation, and PI3K-Akt signaling. Machine learning methods further identified a panel of four biomarkers-CNST, DSTN, DUSP3, and PDIA5-with high predictive accuracy for dengue diagnosis and subgroup differentiation. In conclusion, this study advances our understanding of dengue's plasma proteomic landscape and underscores the synergistic potential of DIA-based proteomics and machine learning in unveiling host-response mechanisms, thereby informing early diagnosis and targeted therapeutic strategies. - Source: PubMed
Publication date: 2025/12/08
Ou GuanyongWang JunZou RongrongLai DongmeiQian QiLiang XiaowenWang YuelinMa CanghaiLiao HaoNiu ShiyuYuan JingLiu YingxiaYang Yang - Accurate electrode implantation in the subthalamic nucleus (STN) of rats is essential for high-quality electrophysiological and neuromodulation studies but remains technically challenging due to the small size and deep location of the STN. Traditional stereotactic methods, relying on bregma or averaged bregma-interaural-based coordinates, often result in misplacement of electrode. Here, we introduce a combined anatomical and functional approach-bregma-interaural and electrophysiology-guided technique (BITE)-designed to enhance targeting accuracy for STN electrode implantation in male Sprague Dawley rats. In this method, anterior-posterior (AP), medial-lateral (ML), and dorsal-ventral (DV) coordinates are initially determined using the average of bregma and interaural references. Electrode depth (DV axis) is fine-tuned based on real-time detection of characteristic STN neuronal firing patterns. If STN featured activity is not observed on the first implantation, additional adjustments in the AP and ML axes are made, followed by electrophysiology-guided DV tuning. Using BITE, we achieved an 83% overall success rate for STN electrode implantation, with 50% of electrodes precisely located in the dorsal STN (dSTN). This represents a significant improvement compared with the bregma-based method (17%, = 0.0005) and the averaged bregma-interaural-based method (40%, = 0.0188). BITE offers two main advantages: (1) increased accuracy in targeting the STN and (2) improved access to the dSTN, a region of growing interest in basal ganglia research. These findings demonstrate that BITE is a reliable and effective method for precise electrode placement in the STN and may serve as a valuable tool in rat models of deep brain stimulation and basal ganglia function. - Source: PubMed
Publication date: 2025/12/15
Deng ZhengdaoAwada AliKilic UgurMc Laughlin MylesBaunez ChristelleNuttin Bart