Ask about this productRelated genes to: PACSIN1 antibody
- Gene:
- PACSIN1 NIH gene
- Name:
- protein kinase C and casein kinase substrate in neurons 1
- Previous symbol:
- -
- Synonyms:
- SDPI
- Chromosome:
- 6p21.3
- Locus Type:
- gene with protein product
- Date approved:
- 2000-02-29
- Date modifiied:
- 2015-09-01
Related products to: PACSIN1 antibody
Related articles to: PACSIN1 antibody
- Backfat thickness is a key carcass trait reflecting fat deposition in pigs, while semen quality represents a critical measure of boar reproductive performance in artificial insemination systems. Despite their economic importance, the genetic relationship between these traits remains largely unexplored. In this study, we applied the PLACO method under the composite null hypothesis to identify genes affecting adjusted backfat thickness at 100 kg (BFT_100), semen volume (SEMVOL), and sperm motility (SPMOT). The consistency and heterogeneity of pleiotropic gene effects were evaluated using Pearson correlation and Cochran's Q test, and protein-protein interaction (PPI) networks were constructed based on the STRING database. Generalized summary-data-based Mendelian Randomization (GSMR) was employed to investigate potential genetic associations between BFT_100 and semen traits. We identified 99 significant pleiotropic genes (FDR < 0.05), including seven genes (PACSIN1, TTC26, PSMD13, PKHD1, VARS2, MDFI, MRPS10) associated with all three traits. Approximately 57.5% of genes exhibited positive correlations between traits, while 42.5% showed negative correlations. PPI analysis revealed that these genes formed interconnected networks enriched in energy metabolism and immune-related pathways. GSMR indicated a significant positive genetic effect of BFT_100 on SEMVOL (β = 19.09, P = 1.545 × 10-7) but a negative effect on SPMOT (β = -0.0051, P = 0.0138). These results reveal the complex genetic links between fat deposition and semen traits, highlight key pleiotropic genes, and suggest mechanisms by which adiposity may influence reproductive performance, providing valuable insights for molecular breeding and genetic improvement in pigs. - Source: PubMed
Yang YifanCai XiaodianNing WenzheChen JiajianZhang HongyuanZhang WenjingTeng JinyanGao Yahui - This study aimed to identify potential genetic variants and candidate genes associated with feed efficiency (FE), production, and feeding behavior traits in Canadian purebred Duroc pigs. Genome-wide association studies (GWAS) were conducted using 8,861 individuals and an imputed Affymetrix PigGen Canada 50K panel v2.0 using a linear mixed model (LMM) and a Bayesian B model. This analysis used an adjusted P-value threshold (ranging from 6.6 × 10-5 to 1.3 × 10-4) using a false-discovery rate to determine significance. The number of significant SNPs identified for each trait was as follows: average daily gain (ADG, 48), daily feed intake (DFI, 85), feed conversion ratio (FCR, 101), residual feed intake (RFI, 37), residual gain (RG, 64), residual intake and gain (RIG, 55), backfat thickness (BF, 100), loin depth (LD, 6), Kleiber's ratio (KR, 0), total time spent eating per day (TPD, 7), and number of visits to the feeder per day (NVD, 6). Several traits (BF, DFI, FCR, RFI, RG, and RIG) showed strong overlapping signals on chromosomes 7 and 10 with 24 shared significant SNPs, indicating potential shared genetic mechanisms. These traits also had 71 overlapping candidate genes, such as PACSIN1, PTCH1, ADIPOR1, and ITPR3, associated with glucose, lipid, and cholesterol metabolism. Well-known candidate genes in literature associated with growth and fatness such as MC4R and CDH20 were also identified to be associated with ADG, BF, FCR, and DFI in this study. Gene ontology enrichment analysis revealed that a set of the candidate genes were involved in the gonadotropin-releasing hormone (GnRH) and the platelet-derived growth factor (PDGF) signaling pathways. Overall, this study contributed to understanding the genetic architecture and provided a biological foundation for improving FE, production, and feeding behavior traits in Canadian Duroc pigs, facilitating the selection of more efficient pigs. - Source: PubMed
Kim BelleDo Duy NgocJafarikia MohsenTulpan DanAdewole DeborahManafiazar GhaderSullivan BrianHoll JustinMiar Younes - Protein phosphorylation is an important molecular event in tumor angiogenesis that is a canonical hallmark in glioma. We hypothesize that the phosphoproteome and phosphorylation-mediated signaling networks are significantly different in glioma neovascular tissues compared to controls, which aimed to identify glioma angiogenesis phosphoproteomic landscape, phosphorylation-mediated signaling pathways, kinase-substrate networks, and phosphorylation biomarkers with integration of phosphoprotein data and multiomics data, for deep understanding of molecular mechanisms of glioma angiogenesis, discovery of effective antiangiogenesis therapeutic targets, and establishment of angiogenesis-related phosphorylation biomarker signature for patient stratification, early-stage diagnosis, and effective prognostic assessment, in the framework of predictive, preventive, and personalized medicine (PPPM, 3PM) approaches. This study used laser capture microdissection to isolate neovascular tissues from gliomas, followed by quantitative phosphoproteomics analysis, which identified 195 differentially phosphorylated proteins (DPPs) with 635 phosphosites and 58 hub DPPs. Pathway analysis of 195 DPPs found that cell adhesion-related pathways and HIF-1 signaling pathway were significantly regulated by phosphorylation to associate with glioma angiogenesis. Upstream kinase analysis found 321 upstream kinases to regulate the intratumoral neovascular tissue-associated phosphorylation, including 12 kinases that were differentially expressed in glioma neovascular tissues and 2 kinases (CAMK2D and MYLK) that were also DPPs, and 48 chemotherapeutic agents as kinase inhibitors such as staurosporine that had antiangiogenesis effects in glioma. Integrated analysis of DPPs and DEGs (differentially expressed genes) revealed 82 overlapped molecules; of them, SYN1, STX1A, PRKAR2B, PACSIN1, LSP1, HSPB1, and DMTN were associated with overall survival of glioma, and ANK1, L1CAM, and LSP1 were constructed as glioma prognosis signature. Immunohistochemistry confirmed hypophosphorylation at PDHA1-Ser293/300 in glioma angiogenesis. This study provided the first phosphoproteome landscape, kinase profile, phosphorylation-mediated signaling pathway network alterations in human glioma neovascular tissues, and effective tumor angiogenesis-based biomarkers for patient stratification, prognostic assessment, and targeted therapy in glioma. These findings provide concrete molecular targets for antiangiogenic therapy and establish clinically actionable biomarkers for glioma patient stratification in the 3PM framework. - Source: PubMed
Publication date: 2025/11/03
Gong XiaoxiaGuo TianyaoLi ChunlinLi ZhijunLi XuejunYang LameiLi NaZhan Xianquan - LPS-induced peritonitis is a prevalent clinical condition with incompletely understood underlying mechanisms. This study aimed to characterize the gene transcriptome and key proteins in the blood of mice with LPS-induced peritonitis. We established a mouse peritonitis model by administering LPS (10 mg/kg, i.p.) and collected blood samples (n = 6 per group) for bulk RNA sequencing. Through various bioinformatics approaches, we identified 290 differentially expressed genes (242 upregulated and 48 downregulated). Functional enrichment revealed the activation of inflammation-related pathways (e.g., NOD-like and Toll-like receptor signaling) and the suppression of adaptive immunity pathways (e.g., Th1/Th2 cell differentiation and T cell receptor signaling). From these, eight hub proteins (LDLR, FNBP1L, SNX18, FAM20C, INPP5F, PACSIN1, ZAP70, and SYNJ2) were identified, and their structural stability was confirmed via 300 ns molecular dynamics simulations. Critically, to validate our findings at the cellular level and in a clinical context, we further integrated four independent public single-cell RNA-sequencing datasets from human sepsis patients. This cross-platform analysis confirmed that the expression patterns of our hub genes are conserved in human patients with high cell-type specificity (e.g., ZAP70 downregulation in T cells and LDLR upregulation in monocytes). Moreover, a module score derived from these genes demonstrated strong clinical relevance, as it significantly distinguished sepsis patients from healthy controls and stratified clinical subtypes of sepsis. In conclusion, by integrating bulk transcriptomics, molecular dynamics, and cross-platform single-cell data, this research provides multi-scale insights into the systemic inflammatory mechanisms of peritonitis. It identifies therapeutic targets with clinical translational potential. - Source: PubMed
Publication date: 2025/10/30
Li HuijuanZhang JianfengSun Yulong - Plasmacytoid dendritic cells (pDCs) are major producers of type I/III interferons. As interferons are crucial for antiviral defense, pDCs are assumed to play an essential role in this process; however, robust evidence supporting this dogma is scarce. Genetic or pharmacological manipulations that eliminate pDCs or disrupt their interferon production often affect other cells, confounding interpretation. Here, to overcome this issue, we engineered pDC-less mice that are specifically and constitutively devoid of pDCs by expressing diphtheria toxin under coordinated control of the Siglech and Pacsin1 genes, uniquely coexpressed in pDCs. pDC-less mice mounted protective immunity against systemic infection with mouse cytomegalovirus and showed higher survival and less lung immunopathology to intranasal infection with influenza virus and SARS-CoV-2. Thus, contrary to the prevailing dogma, we revealed that pDCs and their interferons are dispensable or deleterious during several viral infections. pDC-less mice will enable rigorously reassessing the roles of pDCs in health and disease. - Source: PubMed
Publication date: 2025/09/29
Ngo ClemencePierini-Malosse CamilleRahmani KhalissaValente MichaelCollinet NilsBessou GillesGuerry CapucineFabregue ManonMathieu SoleneSharkaoui SarahMazzoli SophieSansoni AmandineFiore FredericLaprie CarolineAlexopoulou LenaGaya MauroGregoire ClaudeBroggi AchilleWurbel SarahRua RéjaneHaidar NarjessMilpied PierreEscalière BertrandVu Manh Thien PhongFallet MathieuChasson LionelTran HienBaranek ThomasLe Bert MarcMalissen BernardZarubica AnaDalod MarcTomasello Elena