IL1A Antibody
- Known as:
- IL1A Antibody
- Catalog number:
- XW-7291
- Product Quantity:
- 0.05 mg
- Category:
- -
- Supplier:
- Prosci
- Gene target:
- IL1A Antibody
Related genes to: IL1A Antibody
- Gene:
- IL1A NIH gene
- Name:
- interleukin 1 alpha
- Previous symbol:
- IL1
- Synonyms:
- IL1F1, IL-1A, IL1-ALPHA
- Chromosome:
- 2q14.1
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2016-10-05
Related products to: IL1A Antibody
Related articles to: IL1A Antibody
- Diabetic foot ulcers (DFUs) represent a severe complication of diabetes mellitus, characterized by impaired wound healing and persistent inflammation. Despite advances in understanding the molecular mechanisms underlying DFU pathogenesis, effective therapeutic targets remain limited. This study aimed to identify novel biomarkers and therapeutic targets for diabetic wound healing through integrative bioinformatics analysis and experimental validation. We performed comprehensive transcriptomic analysis of DFU samples (n = 6) compared to normal skin controls (n = 6) from the GEO database (GSE80178). Differential expression analysis, functional enrichment, gene set enrichment analysis (GSEA), and protein-protein interaction network analysis were conducted to identify hub genes. Key findings were validated through in vitro experiments using keratinocyte cell lines cultured under normal glucose (NG), low glucose (LG), and high glucose (HG) conditions, with functional assays including colony formation and scratch wound healing assays. We identified 8,269 differentially expressed genes (DEGs), including 1,852 upregulated and 6,417 downregulated genes in DFU samples. Functional enrichment analysis revealed significant alterations in skin development, keratinocyte differentiation, inflammatory responses, and IL-17 signaling pathways. Hub gene analysis identified interleukin-1 alpha (IL1A) as a central hub gene and a key inflammatory mediator (log2FC = 5.18, adjusted p < 0.001), participating in seven distinct biological pathways. Experimental validation demonstrated that high glucose conditions impaired keratinocyte colony formation and wound closure capacity, accompanied by dysregulated inflammatory responses, consistent with the bioinformatics predictions. Through integrative computational and experimental approaches, we identified IL1A as a critical therapeutic target in diabetic wound healing. Our findings provide mechanistic insights into DFU pathogenesis and establish IL1A as a promising biomarker for developing targeted interventions to improve diabetic wound healing outcomes. - Source: PubMed
Publication date: 2026/05/16
Zhang GuowangAn TaoDai ShuaiHuang JinliangChen Pei - Improving disease resistance in cattle relies on informed breeding and vaccine development, both depend on our understanding of immune mechanisms in cattle. However, transcriptomic studies of bovine immune responses often show considerable variability due to differences in tissue type, pathogen, time point, and experimental design, limiting the generalizability. Meta-analysis integrates multiple transcriptomic studies to identify consistent gene expression patterns and enhance statistical power. We integrated bovine RNA-seq datasets using immune-response specific keywords, species constraints, and high-throughput sequencing filters to prioritize biologically comparable and meta-analysis-ready studies. Specifically, in this study, we performed a meta-analysis of four bovine transcriptomic datasets to identify immune-related differentially expressed genes (DEGs) in Bos taurus. These datasets showed consistent results across analyses and represent immune responses related to mycobacterial infections (Mycobacterium bovis and Mycobacterium avium subsp. paratuberculosis), making them suitable for combined analysis. Our pipeline included FastQC, Trimmomatic, Bowtie2, SAMtools, FeatureCounts, DESeq2, and MetaRNASeq, identifying 28 DEGs (12 upregulated and 16 downregulated). We identified key immune-related genes (IL1A, RGS2, RCAN1, ZBP1, TIMD4, PPARG, TLR10, and ACP5) with known regulatory roles in immunity. KEGG enrichment analysis revealed involvement in necroptosis, osteoclast differentiation, oxytocin signaling, and cGMP-PKG signaling pathways, associated with inflammatory cell death, cytokine signaling, and immune cell differentiation. Using reproducible transcriptomic signals across systematically selected bovine immune datasets rather than relying on single-experiment analyses, we provide a robust meta-analytic framework. This meta-analysis enhances our understanding of conserved immune signaling mechanisms in cattle for identifying conserved immune mechanisms with broader biological and translational relevance. - Source: PubMed
Marimuthu Vennila Kanchana DeviMatheswaran KishoreThambiraja MenakaOnteru Suneel KumarYennamalli Ragothaman M - The Visium HD spatial transcriptomics platform enables transcriptome-wide profiling at near-single-cell resolution. However, accurate segmentation of cells to define spatial boundaries relies heavily on histological images. Previous approaches struggle to define cells when the tissues have high cell density, are inflamed, or are mineralized, leading to transcriptomic bleed-through and inaccurate clustering. To address this, we developed TENGU ( T ranscript-signal E nrichment and G rouping U nit), a comprehensive end-to-end bioinformatic software package. Unlike existing tools, TENGU employs a transcript-first segmentation approach, prioritizing transcript-signal density as the primary modality and utilizing histological images only as a secondary supplement in unresolved regions. These initial boundaries are further optimized through a novel transcriptomic-driven cell simulation algorithm. Iterative refinement of boundaries based on localized gene expression probabilities effectively minimizes spatial scattering and preserves biologically distinct molecular signatures. The pipeline seamlessly integrates tissue segmentation, high-resolution cell-type annotation, and basic spatially aware cell-cell communication (CCC) analysis. We rigorously benchmarked TENGU against the 10X Genomics and Bin2cell pipelines for cell segmentation across diverse and technically challenging microenvironments. TENGU demonstrated superior transcriptomic distinctness in the murine brain, successfully captured matrix-embedded osteocytes, and localized critical osteoimmune CCC networks ( and ) in a murine model of osteomyelitis. TENGU also resolved species-specific, pro-tumorigenic signaling hubs ( ) within a highly compacted human colorectal cancer xenograft. By mitigating the constraints of traditional image-dependent segmentation, TENGU provides a highly adaptable and robust computational framework that empowers researchers to accurately decode the complex functional micro-anatomy of both healthy and pathological tissues. - Source: PubMed
Publication date: 2026/04/28
Wanchai VisanuBustamante-Gomez Nancy CKurilung AlongkornBeenken Karen ECortes SergioSmeltzer Mark SLeung Yuet-KinXiong JinhuAlmeida MariaO'Brien Charles ANookaew Intawat - Senescent astrocytes have been identified in the brains of patients with neurodegenerative disorders, including Alzheimer's disease, yet the molecular characteristics of replicative senescence in human astrocytes remain largely unexplored. Prior work has been hampered by the low proliferative capacity and limited telomere shortening of primary human astrocytes in culture. Here, we describe a culture system in which primary human astrocytes propagated under physiological (3%) oxygen reach canonical telomeric replicative senescence after extensive expansion (up to ~76 population doublings). Senescence was confirmed through multiple biomarkers, including reduced EdU incorporation, elevated senescence-associated beta-galactosidase (SA-β-gal) activity, persistent DNA damage foci (γH2AX and 53BP1) predominantly localized to telomeres, and nuclear accumulation of p53. RNA sequencing across a 12-week time course revealed early upregulation of young LINE-1 (L1HS) retrotransposon transcripts, type-I interferon (IFN-I) and senescence-associated secretory phenotype (SASP) pathway genes, alongside downregulation of cell-cycle and DNA repair programs. To resolve L1HS expression at individual locus resolution, we performed Nanopore DNA sequencing to generate a custom reference genome incorporating non-reference LINE-1 insertions. Applying our TE-Seq pipeline, we identified two full-length intergenic L1HS elements consistently upregulated across the replicative senescence time course, one of which, L1HS_9q22.32_2, retained intact ORF1 and ORF2 open reading frames, indicating potential retrotransposition competence. To contextualize the astrocyte replicative senescence program, we compared it to three additional conditions. First, parallel astrocyte cultures maintained under normoxic (20%) oxygen entered senescence earlier and showed stronger SASP upregulation. Second, DNA damage-induced senescence (DDIS) triggered by etoposide treatment produced a stronger pro-inflammatory transcriptional signature than replicative senescence, including elevated IL6, IL1A, and IL1B expression. DDIS also upregulated L1HS_9q22.32_2 as well as a second intact element, L1HS_14q23.2_3, which we have previously identified among the small number of intact L1HS loci activated during replicative senescence in fibroblasts. The convergent activation of these intact elements across cell types and senescence modalities reinforces L1HS-driven IFN-I signaling as a conserved feature of the senescent program. Third, comparison with replicatively senescent fibroblasts revealed cell-type-specific SASP regulation: the pro-inflammatory cytokines IL6 and CCL2 were downregulated in senescent astrocytes relative to proliferating cells, opposite to their behavior in fibroblasts. Together, these data establish the first comprehensive transcriptomic profile of replicative senescence in human astrocytes, offering a resource for understanding brain aging and senescence-associated neurodegeneration. - Source: PubMed
Publication date: 2026/05/01
Woodham Trenton AKelsey Maxfield M GSedivy John M - (Ait.) Hassk. (Myrtaceae) has been traditionally used in Southeast Asia to treat inflammation, fever, and respiratory ailments. However, its bioactive components and molecular mechanisms remain unclear. To design novel dihydrofuro [2,3-b]benzofuran derivatives inspired by constituents and to evaluate their anti-inflammatory activity and mechanism in a lipopolysaccharide (LPS)-induced acute lung injury (ALI) model. - Source: PubMed
Publication date: 2026/04/21
Wang YuxiShan ZepingShao ShenyanYang YuanyuanZhang AijingWang GuimeiWu XiaohongCai YuqingXu Chengyun