DIABLO antibody
- Known as:
- Direct suppressor on apoptosis binding protein with low pI (anti-)
- Catalog number:
- 70r-dr008
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- DIABLO antibody
Related genes to: DIABLO antibody
- Gene:
- DIABLO NIH gene
- Name:
- diablo IAP-binding mitochondrial protein
- Previous symbol:
- -
- Synonyms:
- SMAC, DIABLO-S, FLJ25049, FLJ10537, DFNA64
- Chromosome:
- 12q24.31
- Locus Type:
- gene with protein product
- Date approved:
- 2003-10-27
- Date modifiied:
- 2018-05-03
Related products to: DIABLO antibody
Related articles to: DIABLO antibody
- Multi-omics integration combines data from transcriptomics, proteomics, and metabolomics to provide insights into biological systems. Here, we present a protocol for integrating and interpreting multi-omics data using unsupervised multi-omics factor analysis (MOFA), supervised projection-based integration (data integration analysis for biomarker discovery using latent components, DIABLO), along with general single-omics analysis techniques and visualizations. We describe steps for data preparation, model construction, and biological interpretation of multi-omics datasets. These approaches identify coordinated molecular changes across biological layers and reveal regulatory mechanisms that drive biological processes. For complete details on the use and execution of this protocol, please refer to Anagho-Mattanovich et al.. - Source: PubMed
Publication date: 2026/04/30
Anagho-Mattanovich MatthiasAnagho-Mattanovich Holda AwahGao QianMoritz Thomas - The impact of various meditation interventions on modifying human health outcomes has been demonstrated at both cognitive and cellular levels. Preksha Dhyana (PD) meditation has previously shown effects on cognitive skills, transcriptome, and the DNA methylome in healthy, novice college students. In this study, we performed a cross-platform metabolomic and lipidomic analysis of serum samples collected from 38 healthy, meditation-naïve participants and five age-matched participants who served as controls. Serum samples were collected from both groups, at baseline (pre-meditation) and after an 8-week PD intervention. Analysis was conducted using capillary electrophoresis and reversed-phase liquid chromatography coupled to electrospray ionization-mass spectrometry, and higher serum concentration levels for four circulating metabolites, namely, hypoxanthine, oxoproline, choline, and cystine, were identified along with a series of lysophosphatidylcholine (LPC) and lysophosphatidylethanolamine (LPE) species (LPC 20:0, LPC 18:0, LPC 18:1, LPC 16:0, LPE 18:0, LPE 18:1, and LPE 22:6), following the PD intervention that satisfied a Bonferroni correction (p < 0.05, FDR). Pathway enrichment analysis revealed that these metabolites and lipids are primarily associated with the purine degradation cycle, glycerophospholipid metabolism, and glutathione metabolism, which are critical for maintaining cellular energy balance, preserving membrane integrity, and protecting against oxidative stress. A multi-omics analysis with Data Integration Analysis for Biomarker discovery using Latent approaches for Omics studies (DIABLO) revealed positive and negative correlations between these metabolites/lipids, DNA methylated sites (DMSs), and cognitive outcomes (r > 0.5). Overall, our findings suggest that the wellbeing experienced after PD meditation might be associated with bioactive metabolites and lipids, which may also function as epigenetic modifiers regulating gene expression and biological pathways. - Source: PubMed
Publication date: 2026/04/15
Abomoelak BassamKapoor NidhiSchreck MaryPragya Samani UPragya Samani CMehta NeelamBozelli José CarlosShanmuganathan MeeraKroezen ZacharyBritz-Mckibbin PhilipUddin ParvinVeeramachaneni PushyaMehta NainaPrather RayMehta ArpitMehta Devendra - In recent years, agricultural practices have shifted toward sustainability, aiming to reduce the use of agrochemicals and rely more on bio-based solutions. However, the effectiveness of these latter suffers from inconsistency. Understanding how different crops respond to biostimulants, instead of referring to a specific trial or crop, is a challenge in this field. This study attempts to identify common metabolite signatures associated with different commercial biostimulants across three crops, moving from trial-specific to more generalized effects in horticultural crops. To this aim, advanced metabolomics data integration and supervised statistical methods have been used. Advanced multivariate analyses included analysis of variance (ANOVA)-multiblock orthogonal partial least squares (AMOPLS), and Data Integration Analysis for Biomarker discovery using Latent variable approaches for Omics studies (DIABLO). HCA and AMOPLS revealed differences in metabolic profiles among the biostimulant treatments, while confirming crop-specific responses. Data integration indicated that three metabolites, betaine, N-caffeoylputrescine, and 2-amino-4-hydroxypyrimidine-5-carboxylic acid, were consistently modulated across all three crops treated by the multi-component biostimulant containing osmolytes and zeatin. Notably, these metabolites are known to be involved in plant growth and adaptation to different abiotic stresses. Overall, the applied analytical approach enabled the identification of putative markers within complex metabolic datasets that included different crop species. The use of independent validation methods increases confidence in these markers and supports the integration of complementary datasets in biostimulant studies. - Source: PubMed
Salehi HajarGarcía-Pérez PascualLucini Luigi - Fetal bovine serum (FBS) is a widely used but poorly defined mammalian cell culture supplement, introducing substantial batch-to-batch and grade-specific variability that compromises experimental reproducibility. We performed integrative proteomics and peptidomics profiling of three commercially available FBS grades using data-independent acquisition (DIA) mass spectrometry. A conserved core of 979 proteins shared across all grades was enriched for extracellular matrix organization, immune modulation, and growth factor regulation, explaining FBS's broad utility in standard cell culture. Differential abundance analysis revealed 88 proteins differing significantly between high-grade and low-grade products, while peptidomic profiling detected over 200 differentially abundant native peptide sequences. High-grade FBS was enriched in adhesion proteins (fibronectin, vitronectin, thrombospondin-1) and growth factor binding proteins (IGFBP2, IGFBP3), supporting robust cell attachment and proliferation, while low-grade serum exhibited elevated detoxification and oxidative stress response proteins consistent with a stress-adapted biochemical signature. Multiomics integration via DIABLO revealed coordinated proteolytic regulation distinguishing serum grades, with native peptides demonstrating greater intergrade divergence than intact proteins. These findings establish a molecular framework for rational serum selection and mass spectrometry-guided lot qualification in biotechnology and regenerative medicine, and identify functional modules structural scaffolding, carrier buffering, and bioactive peptide signaling that underpin FBS bioactivity and support the development of chemically defined culture media. - Source: PubMed
Publication date: 2026/04/27
Wijerathna-Yapa AkilaSokolenko Stanislav - The effects of dietary rumen-protected glucose (RPG) supplementation on Dumengsa sheep growth performance, meat quality, and transcriptomic and metabolomic profiling are reported. Twelve sheep were randomly assigned to a control (basal diet, n = 6) or RPG (basal diet +1.0% RPG, n = 6) group for 100 d. RPG increased serum malondialdehyde (P = 0.015) and cholesterol (P = 0.046) concentrations, enhanced intramuscular fat content (P = 0.016), and tended to produce lower meat lightness (P = 0.072), redness (P = 0.053), and hue angle (P = 0.072) values. In total, 319 differentially expressed genes and 30 differentially abundant metabolites were identified. Transcriptomic analysis revealed RPG to alter the expression of genes related to oxidative phosphorylation, β-oxidation, and fat deposition. Metabolomic analysis revealed that RPG supplementation primarily increases the abundance of short-chain fatty acids. Integrated analysis using a Data Integration Analysis for Biomarker discovery using Latent Components (DIABLO) model revealed a strong and significant correlation (r = 0.93) between omics profiles. We report dietary supplementation with 1% RPG to modulate muscle lipid metabolism and potentially stimulate intramuscular fat deposition, but also to possibly induce a state of potential oxidative stress. - Source: PubMed
Publication date: 2026/04/14
Liang YanpingShi JianchuanCheng XindongFeng MengyuJiao DanDu XiaJi KaixiHu ShoubinDong QiaoxiaYang Guo