il1α (R&D Systems)
Structured Review

Il1α, supplied by R&D Systems, used in various techniques. Bioz Stars score: 95/100, based on 46 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/recombinant+human+il1%CE%B1/pmc12790151-55-63-64?v=R%26D+Systems
Average 95 stars, based on 46 article reviews
Images
1) Product Images from "Small Interfering RNA Therapy Targeting the Long Noncoding RNA SMILR for Therapeutic Intervention in Coronary Artery Bypass Graft Failure"
Article Title: Small Interfering RNA Therapy Targeting the Long Noncoding RNA SMILR for Therapeutic Intervention in Coronary Artery Bypass Graft Failure
Journal: JACC: Basic to Translational Science
doi: 10.1016/j.jacbts.2025.101364
Figure Legend Snippet: Transcriptomic Profiling of BHF7-Transfected Smooth Muscle Cells Demonstrates that BHF7 Targets a Core Cell Cycle Gene Network (A) Principle component analysis of saphenous vein smooth muscle cells transfected with lipofectamine RNAiMax alone (mock), siNTC, or BHF7 to a final dose of 25 nmol/L. (B) BHF7 targets a cell cycle-enriched gene network. Our previous research identified a “SMILR-dependent network.” The top 20 differentially-expressed genes identified from this network are enriched for cell cycle-associated genes. This same set of SMILR-dependent genes demonstrate significantly reduced expression when BHF7 is transfected into cells. (C) RNA-sequencing expression analysis of CENPF from NT, mock-transfected, IL1-PDGF-treated cells (mock), siNTC, or cells transfected with BHF7 to a final dose of 25 nmol/L. (D) qRT-PCR validation of RNA-sequencing data for CENPF expression after transfection as indicated. Each colored dot represents smooth muscle cells derived from a single patient. N = 4, ∗ P < 0.05, ∗∗ P < 0.01, repeated measures analysis of variance w/Dunnett’s test for multiple comparisons. (E) Gene ontology (GO), reactome, and KEGG pathway analysis of BHF7-repressed genes reveals a broad network of genes associated with cell cycle progression and mitosis. Abbreviations as in and .
Techniques Used: Transfection, Expressing, RNA Sequencing, Quantitative RT-PCR, Biomarker Discovery, Derivative Assay

