Polyclonal Rabbit EID1 Antibody
- Known as:
- Polyclonal Rabbit EID1 Antibody
- Catalog number:
- KA1160
- Product Quantity:
- 100ul
- Category:
- -
- Supplier:
- KareBay
- Gene target:
- Polyclonal Rabbit EID1 Antibody
Related genes to: Polyclonal Rabbit EID1 Antibody
- Gene:
- EID1 NIH gene
- Name:
- EP300 interacting inhibitor of differentiation 1
- Previous symbol:
- C15orf3, CRI1
- Synonyms:
- EID-1
- Chromosome:
- 15q21.1
- Locus Type:
- gene with protein product
- Date approved:
- 1999-10-22
- Date modifiied:
- 2015-08-25
Related products to: Polyclonal Rabbit EID1 Antibody
Related articles to: Polyclonal Rabbit EID1 Antibody
- Glioblastoma (GBM) is an aggressive brain tumor with highly variable patient outcomes due to pronounced molecular heterogeneity. Prognosis remains dismal (median survival ∼15 months) and current prognostic models often function as "black boxes," lacking interpretability and limiting clinical utility. There is an urgent need for interpretable prognostic tools to better stratify GBM patients. This study performed cross-cohort, cross-platform transcriptome data integration (TCGA RNA-seq and GEO microarrays) and incorporated inferred immunogenomic features to capture GBM's complexity. An automated machine learning (AutoML) pipeline tested over 100 algorithmic combinations to build an optimal survival prediction model. The final model is a 22-gene signature, and SHAP (SHapley Additive exPlanations) analysis was applied to explain each gene's contribution to risk. Key genes identified by the model (e.g. UBE2W, EID1, HS2ST1) were validated by qRT-PCR and Western blot, confirming their dysregulated expression in GBM cell lines. The 22-gene model achieved a concordance index of ∼0.72 and was validated on independent cohorts (TCGA training and GEO validation), demonstrating robust performance. It effectively stratified patients into high- and low-risk groups with significant survival differences. High-risk tumors were associated with an immune-cell-enriched yet immune-evasive microenvironment, showing greater infiltration of immunosuppressive cells and higher TIDE scores (indicating immune escape). In contrast, low-risk patients had a more favorable immune profile, and their tumors were predicted to be more sensitive to multiple chemotherapeutic agents. This interpretable transcriptome-based integrative prognostic model can serve as a valuable tool for GBM risk stratification and may guide therapeutic decision-making by highlighting potential targets. Not only does it improve outcome prediction, but it also identifies novel prognostic biomarkers, holding promise for personalized treatment and clinical translation in glioblastoma. - Source: PubMed
Publication date: 2026/02/13
Shan MinZhao Zhi-LongLiang Shi-MinDu Nan-DiSheng Wei-WeiShen JieChen Xiao-Hua - Progress toward anti-scarring therapies has been hampered by our limited understanding of fibroblast populations underlying fibrotic vs. regenerative healing. The site-dependent fibroblast heterogeneity acquired during development points to cell-intrinsic properties determining fibroblasts' scarring potential. Using a mouse wounding model, we observed that facial wounds heal with less scarring than scalp, ventral, and dorsal wounds. Single-cell RNA sequencing identified increased expression of Robo2 and downstream Eid1 in neural-crest-derived facial fibroblasts compared with fibroblasts from other sites. In fibroblast transplantation experiments, Robo2 and Eid1 promoted facial fibroblasts' reduced fibrotic potential. This is maintained by the inhibition of EP300 histone acetyltransferase, leading to a more transcriptionally silent chromatin landscape. Mimicking EID1's activity, small-molecule and transgenic EP300 repression in dorsal wounds promoted facial-like healing with reduced scarring. These data highlight the importance of ROBO2-EID1-EP300 signaling in facial wound healing and demonstrate our ability to modulate fibroblasts' embryologically determined fibrogenic potential to minimize scarring. - Source: PubMed
Publication date: 2026/01/22
Griffin Michelle FLi Dayan JChen KellenParker Jennifer B LGuo Jason LKim SeungsooKraft KaterinaDowner MauricioMorgan Annah GKuhnert Maxwell MJing Serena LYao HanqiValencia CalebCotterell AshaJanuszyk MichaelGurtner Geoffrey CChang Howard YWysocka JoannaWan Derrick CLongaker Michael T - In colorectal cancer, approximately 50% to 70% of metastases go into the liver; however, their molecular signature remains unknown. We aimed to investigate the transcriptome and miRNome profiles of metachronous colorectal liver metastasis (mCLM) within the hepatic microenvironment and to identify key deregulated genes, microRNAs (miRNAs), pathways, and their clinical relevance. We performed differential expression analysis on 36 mCLM and adjacent nonmalignant liver tissue pairs using RNA sequencing. Gene set enrichment analysis and consensus molecular subtype (CMS) classification helped to explore pathways. Tumor samples were stratified based on their KRAS mutation status. miRNA-mRNA interactions were investigated through coexpression and correlation analysis, with prognostic relevance assessed using survival analysis. Validation of key interactions was accomplished using multiMiR. We identified 1809 upregulated and 1639 downregulated genes and 108 upregulated and 92 downregulated miRNAs in mCLM compared with the adjacent nonmalignant liver. Upregulated genes were associated with epithelial-to-mesenchymal transition, G2M checkpoints, and E2F targets. About 47% of samples belonged to CMS2 and 22% to mesenchymal CMS4, with distinct mutational patterns. mRNA coexpression identified 4 clusters (associated with metabolism, cell cycle, DNA metabolism, and oncogenic signaling pathways), and miRNA coexpression identified 6 clusters. The hub miRNAs hsa-let-7c, hsa-miR-21-5p, hsa-miR-106a-5p, hsa-miR-139-5p, hsa-miR-101-3p, and hsa-miR-20b-5p were among the inversely correlated miRNA-mRNA clusters. An integrative analysis highlighted PEA15 interaction with hsa-miR-320b/c, TEX2/CTSO with hsa-miR-103a-3p, and PHLDA3 with hsa-miR-1304, and prognostic relevance for ZNF441, CTSO, TEX2, EID1, CMC1, hsa-miR-4634, hsa-miR-3184-5p, has-miR-320b, hsa-miR-1304-3p, hsa-miR-7-1-3p, hsa-miR-144-3p, hsa-miR-1303, and hsa-miR-660-3p. The miRNA-mRNA interactions were validated using real-time PCR in independent patient cohorts. This study revealed a complex molecular landscape of mCLM within the hepatic microenvironment and novel miRNA-mRNA interactions with potential prognostic and therapeutic implications. - Source: PubMed
Publication date: 2025/12/19
Rao Bhavana HemanthaBoušková VeronikaHeczko LucieHolý PetrŠeborová KarolínaLiška VáclavVyčítal OndřejFiala OndřejSouček PavelHlaváč Viktor - The phytochrome (phy) system enables plants to adapt to canopy shade. By sensing the reduction of the red:far-red light ratio in shade, phyA and phyB trigger downstream signalling cascades which eventually lead to enhanced elongation growth. In this study, we show that the F-box protein EID1 takes on an essential function within the shade avoidance response in by repressing phyA action and thereby allowing seedlings to elongate in shade. Thus, altering EID1 activity provides a means to adapt the shade response without affecting phyB action and could have played a role in the evolution of shade tolerance. - Source: PubMed
Publication date: 2023/12/12
Staudt Anne-MarieKretsch ThomasHiltbrunner Andreas - The reverse-transcription loop-mediated isothermal amplification (RT-LAMP) is a cheaper and faster testing alternative for detecting SARS-CoV-2. However, a high false-positive rate due to misamplification is one of the major limitations. To overcome misamplifications, we developed colorimetric and fluorometric RT-LAMP assays using five LAMP primers, instead of six. The gold-standard RT-PCR technique verified the assays' performance. Compared to other primer sets with six primers (N, S, and RdRp), the E-ID1 primer set, including five primers, performed superbly on both colorimetric and fluorometric assays. The sensitivity of colorimetric and fluorometric assays was 89.5% and 92.2%, respectively, with a limit of detection of 20 copies/µL. The colorimetric RT-LAMP had a specificity of 97.2% and an accuracy of 94.5%, while the fluorometric RT-LAMP obtained 99% and 96.7%, respectively. No misamplification was evident even after 120 min, which is crucial for the success of this technique. These findings are important to support the use of RT-LAMP in the healthcare systems in fighting COVID-19. - Source: PubMed
Publication date: 2023/03/28
Alhamid GalyahTombuloglu HuseyinAl-Suhaimi Ebtesam