Ask about this productRelated genes to: FILIP1L Blocking Peptide
- Gene:
- FILIP1L NIH gene
- Name:
- filamin A interacting protein 1 like
- Previous symbol:
- -
- Synonyms:
- DOC-1, GIP130
- Chromosome:
- 3q12.1
- Locus Type:
- gene with protein product
- Date approved:
- 2006-12-07
- Date modifiied:
- 2016-06-02
Related products to: FILIP1L Blocking Peptide
Related articles to: FILIP1L Blocking Peptide
- Invadopodia are actin- and protease-rich membrane structures that enable cancer cells to degrade extracellular matrix (ECM). Invadopodia activity is cell cycle-dependent, but how their regulation across the cell cycle is influenced by epithelial-to-mesenchymal transition (EMT) remains unclear. We show that as the EMT progresses, cell engagement in invadopodia-mediated ECM degradation shits from G2 phase in Early E/M cells to G1 phase in Late E/M or M cells. Using bulk mRNA sequencing of Early- versus Late- E/M cells sorted by cell cycle phase, we identified FILIP1L as an EMT- and cell cycle-regulated candidate whose expression peaks in the invasive phase of each cell state: G2 in Early E/M cells and G1 in Late E/M cells. We next demonstrated that FILIP1L is a novel invadopodia component, whose loss increases ECM degradation while impairing migration and 3D invasion. In mouse models, FILIP1L KD tumors develop fewer metastatic colonies, suggesting that FILIP1L supports productive invasion by coordinating between invadopodia and migratory cell states. FILIP1L expression increases with EMT progression and correlates with poor outcomes in breast cancer patients. Together, these findings identify a previously unrecognized link between EMT, cell cycle and invadopodia and establish FILIP1L as the key regulator of this process. - Source: PubMed
Publication date: 2026/04/19
Gligorijevic BojanaBelova ElizavetaJarrah AfroozAbalakov GlebKarami Adam - With the rapid development of genomic big data and genome-wide association study technologies, massive genomic data are available for the genetic dissection, development and utilization of important economic traits. Various GWAS algorithms have become increasingly efficient, enabling high-performance processing of these massive datasets. This has made it possible to conduct genetic dissection of economic traits based on big data and advanced statistical methods, which will provide accurate target loci for future trait improvement and genetic manipulation, greatly accelerating the process of genetic breeding. In this study, genotyping of 426 fish was performed using the T7 sequencing platform and 555,242 SNPs distributed across all the chromosomes were screened by data cleaning. We compared the performance of two GWAS methods, GCTA and GEMMA, in both single-trait and multi-trait frameworks. Twenty-nine SNPs significantly associated with seven traits were identified through single and multi-trait combined GWAS. Single-trait GWAS analysis using GCTA identified 1047 and 1452 significant loci for six growth traits and one sex trait (phenotypic sex, male or female) respectively, ultimately revealing 10 candidate genes, including , , , , , , , , , and . Similarly, 671 and 642 significant SNPs were detected with GEMMA for single-trait GWAS associated with six growth traits and the sex trait, respectively. In total, 16 candidate genes were mapped for these seven traits. Multi-trait GWAS was also performed using GEMMA for the six growth traits (sex was included as a covariate). The traits were grouped into five combinations based on their genetic correlations. A total of 37 SNPs were identified, corresponding to 10 candidate genes: , , , , , , , , , and . Notably, five overlapping candidate genes (, , , and ) were also identified in both single- and multi-trait GWAS methods of GEMMA, highlighting their genetic stability and significance. The two GWAS methods, GCTA and GEMMA, identified two genes that were the same. The results of this study provide molecular markers and genetic resources for the improvement of growth traits in . - Source: PubMed
Publication date: 2026/02/20
Chang ZhongyuChen AoLiang ShuoMa ChenlingZhou TaoZhao YunfengJiang Li - Invadopodia are actin- and protease-rich membrane structures present on metastatic cancer cells. We have previously shown that invadopodia-mediated ECM degradation is cell cycle-dependent. In mesenchymal human breast cancer cells, invadopodia degrade predominantly in G1 phase of the cell cycle. More recently, we have discovered that the hybrid epithelial/mesenchymal (E/M) metastatic cells also have the ability to assemble invadopodia. Here, we investigated how different EMT states affect the cell cycle regulation of invadopodia and invasion of breast cancer cells. Starting with the Early E/M cell line 4T1, we used TGFβ1 treatment to transition cells to a Late E/M state, or the induced Slug overexpression to achieve a fully mesenchymal (M) state, characterized by the complete loss of E-cadherin. We demonstrated that in Early E/M cells, invadopodia-mediated ECM degradation and invasion occur predominantly during the G2 phase, while Late E/M preferentially degrade ECM and invade during the G1, similarly to M cells. Moreover, when E cells are treated with TGFβ1, they transition to Early E/M state and degrade in G2 phase. To identify invadopodia components responsible for EMT- and cell cycle-dependent ECM degradation, we performed bulk mRNA sequencing of Early-versus Late-E/M cells in G1-or G2-phase of the cell cycle. The top candidate of our RNASeq analysis, FILIP1L, was expressed at significantly higher levels during G2 phase in Early E/M cells and during G1 phase in Late E/M cells, matching the invasive phase of each cell population. Expression of FILIP1L is upregulated in cells transitioning from E/M to M state. We next demonstrate FILIP1L is a novel invadopodia component, which colocalizes with Tks5 and cortactin. In the absence of FILIP1L expression, ECM degradation is significantly increased. Meanwhile, cell migration is significantly decreased, resulting in an overall decrease in the 3D spheroid invasion. Finally, we demonstrate that the high expression of FILIP1L is associated with poor prognosis in breast cancer patients. In summary, FILIP1L is a novel invadopodia component which regulates breast cancer invasion and tumor progression in a cell cycle- and EMT-dependent manner by controlling invadopodia and motility of cancer cells. - Source: PubMed
Publication date: 2025/12/09
Belova ElizavetaJarrah AfroozAbalakov GlebKarami Adam LGligorijevic Bojana - Atherosclerosis (AS) is a complex cardiovascular disease characterized by dysregulated macrophage cholesterol metabolism (CM), a central driver of foam cell formation and plaque progression. However, how macrophage CM becomes dysregulated is still not fully understood. Single-cell RNA sequencing (scRNA-seq) was combined with bulk RNA-seq data to identify CM-related genes with diagnostic and therapeutic potential. - Source: PubMed
Publication date: 2025/11/26
Ke JiaxingChen ShulingLi LingjiaLiao ChenxinPeng FengChai DajunLin Jinxiu - Crohn's disease (CD) is a chronic, relapsing inflammatory bowel disease (IBD). Recent studies have revealed that intestinal tissues of CD patients exhibit progeroid-like features, suggesting that cellular senescence may contribute to CD progression. However, the specific roles of senescence-related genes in CD and their impact on prognosis remain unclear. This study identified CD-associated senescence genes through differential expression analysis. Machine learning algorithms were employed to further screen for hub genes. Gene Set Enrichment Analysis (GSEA) was performed to explore the potential functions of these hub genes, and their association with immune cell infiltration was assessed using the CIBERSORT algorithm. Independent external datasets were utilized to validate the diagnostic model's robustness, with additional validation of hub gene expression through mouse models and clinical samples. Furthermore, single-cell RNA sequencing (scRNA-seq) data analysis was conducted to examine senescence heterogeneity at the single-cell level in CD patients. This study identified five senescence-associated hub genes (STAT1, S100A11, FILIP1L, F3, and HPS5) significantly correlated with CD. GSEA revealed that these genes were closely associated with tissue inflammatory responses, nutrient absorption, and energy metabolism. Immune infiltration analysis further demonstrated a strong correlation between the expression levels of these five genes and the degree of immune cell infiltration. scRNA-seq analysis indicated significant differences in senescence levels between affected and unaffected areas in CD patients. Senescence-related genes are closely associated with disease progression in CD patients. - Source: PubMed
Publication date: 2025/11/24
Luo XianglinZhao MingriCui ChangyongGui MingmingYang ZhiLiu Miao