Multi-Omics Field
In modern biological research, the integration of multiple omics technologies has revolutionized our understanding of complex biological systems. Multi-omics refers to the comprehensive analysis and integration of datasets across different molecular layers, including genomics, transcriptomics, proteomics, metabolomics, lipidomics, and epigenomics. By combining these complementary datasets, researchers can uncover the molecular mechanisms that drive cellular functions, disease progression, and phenotypic variation at an unprecedented level of resolution.
Traditional single-omics studies often provide valuable but isolated insights into biological phenomena. However, biological systems are highly interconnected, and understanding them requires a holistic view that integrates molecular interactions across multiple levels. Multi-omics approaches bridge this gap by correlating genetic information with protein expression, metabolic activity, and regulatory networks.
Key omics layers include:
🔸Genomics: Identifies variations in DNA sequence, structure, and gene content.
🔸Transcriptomics: Quantifies RNA expression and splicing dynamics.
🔸Proteomics: Measures protein abundance, post-translational modifications, and interaction networks.
🔸Metabolomics and Lipidomics: Profiles small molecules and lipid mediators reflecting physiological and metabolic states.
🔸Epigenomics: Characterizes chromatin accessibility, DNA methylation, and histone modifications that regulate gene activity.
Hayes, N. et al. Genes. 2024.
Figure 1. Multi-omics Concepts
MtoZ Biolabs offers end-to-end multi-omics field analytical services that empower researchers to decipher the complexity of life systems with scientific precision. By integrating cutting-edge mass spectrometry, chromatography, next-generation sequencing, and advanced bioinformatics pipelines, MtoZ Biolabs enables high-resolution, cross-platform analyses that translate molecular data into actionable biological insights.
Service at MtoZ Biolabs
MtoZ Biolabs provides a full spectrum of analytical solutions across all major omics disciplines, enabling a multidimensional exploration of biological systems. By integrating genomics, transcriptomics, proteomics, metabolomics, lipidomics, and epigenomics with advanced bioinformatics, we deliver comprehensive molecular insights that link genetic information to cellular function and phenotype.
💠Genomics Analysis
MtoZ Biolabs offers next-generation sequencing (NGS)-based genomic analysis to uncover variations in DNA sequence, structure, and copy number across organisms. Through whole-genome, whole-exome, and targeted sequencing strategies, we accurately detect single nucleotide variants, insertions, deletions, and structural rearrangements. Our genomics workflow adheres to stringent quality standards to ensure reliable, high-depth data suitable for evolutionary, medical, and biotechnological research.
💠Transcriptomics Analysis
Our transcriptomics services utilize RNA-Seq, small RNA sequencing, and quantitative PCR validation to capture gene expression profiles with high precision. MtoZ Biolabs' platform provides both qualitative and quantitative insights into transcriptional activity, RNA processing, and non-coding RNA regulation. The resulting data reveal how genes are dynamically expressed under physiological and experimental conditions, forming a critical bridge between genomic variation and cellular behavior.
💠Proteomics Analysis
MtoZ Biolabs provides in-depth proteomic characterization using high-resolution LC-MS/MS technologies combined with robust quantification workflows such as TMT, DIA, SILAC, and label-free analysis. Our proteomics service covers protein identification, expression profiling, and post-translational modification mapping, supported by advanced Orbitrap and timsTOF instrumentation. These analyses deliver detailed molecular signatures that elucidate the functional architecture of the proteome across diverse biological samples.
💠Metabolomics Analysis
Our metabolomics service integrates LC-MS, GC-MS, and NMR platforms to profile endogenous metabolites and small molecules that reflect metabolic activities within cells, tissues, or biofluids. By quantifying and identifying a wide range of compounds involved in biochemical pathways, MtoZ Biolabs enables accurate monitoring of physiological states, energy flux, and chemical perturbations. Comprehensive data processing and compound annotation pipelines ensure confident metabolite identification and interpretation.
💠Lipidomics Analysis
Lipidomics at MtoZ Biolabs focuses on the comprehensive detection and quantification of lipid species involved in membrane dynamics, energy metabolism, and signaling. Utilizing UPLC-MS/MS and high-resolution mass spectrometry, we analyze lipid composition, class distribution, and molecular remodeling processes with high sensitivity. Our lipidomics workflow ensures precise quantification across complex lipid classes and supports integrative interpretation alongside metabolomic and proteomic datasets.
💠Epigenomics Analysis
To explore gene regulation beyond sequence variation, MtoZ Biolabs provides epigenomic analysis covering DNA methylation, histone modifications, and chromatin accessibility. Employing bisulfite sequencing, ATAC-Seq, and ChIP-Seq methodologies, we generate high-resolution maps of epigenetic landscapes that reflect regulatory states across developmental stages or disease conditions. Our analytical pipeline integrates these profiles with transcriptomic and proteomic data for multi-dimensional regulatory insight.
💠Integrative Bioinformatics and Systems Biology Support
Multi-omics integration is at the core of MtoZ Biolabs' analytical framework. Our bioinformatics team employs advanced data fusion, network correlation, and pathway modeling to unify multi-layer molecular data into coherent biological narratives. Using statistical modeling and machine learning-based correlation analysis, we identify key molecular regulators, construct functional interaction networks, and translate complex datasets into actionable biological interpretations.
Analysis Workflow
Service Advantages
✔️State-of-the-Art Instrumentation
Access to high-resolution mass spectrometers, next-generation sequencers, and advanced chromatographic systems.
✔️Scientific Consultation and Customization
Dedicated project teams tailor experimental design, analytical depth, and data interpretation to each client's objectives.
✔️Reproducible and Regulatory-Ready Results
All analyses are conducted under validated standard operating procedures with rigorous quality control and data traceability.
✔️Efficient Turnaround and Global Accessibility
Streamlined workflows and online data delivery ensure timely project completion for researchers worldwide.
Applications
MtoZ Biolabs supports a wide range of applications for the integration of multi-omics data:
1. Precision Medicine Research
Identifying patient-specific molecular signatures that guide personalized therapy and drug response prediction.
2. Biomarker Discovery and Validation
Integrating transcriptomic, proteomic, and metabolomic data to identify diagnostic and prognostic markers.
3. Disease Mechanism Studies
Revealing molecular cascades and pathway disruptions involved in cancer, metabolic disorders, and neurodegenerative diseases.
4. Pharmaceutical and Drug Development
Supporting preclinical and translational research by linking compound activity with multi-layer molecular responses.
5. Agricultural and Environmental Sciences
Understanding plant stress responses, microbial metabolism, and environmental adaptation mechanisms.
6. Synthetic and Systems Biology
Integrating multi-omics datasets to design and model synthetic biological systems and metabolic engineering strategies.
Deliverables
1. Comprehensive experimental details covering standard methodologies and validated workflow parameters for reproducibility.
2. Raw data files from all analytical platforms, provided or made available upon request to ensure transparency and traceability.
3. Quality control (QC) reports and data preprocessing summaries documenting instrument performance, reproducibility metrics, and normalization procedures.
4. Bioinformatics analysis outputs including molecular annotation, statistical evaluation, and pathway-level integration across omics datasets.
5. High-quality visualization figures such as heatmaps, volcano plots, correlation matrices, and molecular network diagrams.
6. Customized integrative reports tailored to project objectives, summarizing key findings and providing biologically meaningful interpretations.
Our multi-omics field analysis service is designed to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample consumption. Free project evaluation, welcome to learn more details.
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