Design Your Precision Medicine Study with BIDMC Omics Cores
Advancing Precision Medicine Through Multi-Omics Innovation
At BIDMC, we believe that precision medicine is the future of healthcare—tailoring treatments and interventions to each patient’s unique molecular profile. By leveraging multi-omics technologies (genomics, proteomics, glycomics, and more), we aim to transform patient care with individualized diagnostics, therapies, and early detection strategies.
Our Omics Cores are at the heart of this effort, providing state-of-the-art tools, expertise, and services to support cutting-edge research that drives precision medicine forward. Whether you're exploring disease mechanisms, designing targeted therapies, or identifying biomarkers, our multi-omics consultation services are here to help.
Workflow Approaches
Scientific research often demands flexible and innovative strategies to address complex questions. To support diverse research needs, we offer workflow approaches designed to streamline multi-omics integration and deliver impactful results:
Parallel Workflow
Ideal for exploratory studies requiring simultaneous data generation across multiple omics layers, providing a broad, unbiased view. Below are examples of how parallel workflows enable simultaneous data generation across multiple omics layers
Biomarker Discovery Across Multi-Omics Layers
Goal: Identify molecular biomarkers for cancer diagnosis and treatment.
- Analyze Gene Mutations:
- Detection Unit – RNA-Seq or whole-genome sequencing
- Spatial Technologies Unit – Single-cell seq for mutation discovery
- Functional Genomics and Bioinformatics Core – Single-cell, RNA, and whole-genome seq
- Protein Abundance:
- Genomics and Proteomics Core – Protein quantification using SOMAscan
- Mass Spectrometry Core – Protein abundance and modifications
- Glycan Profiling:
- Glycomics Core – Glycan structure and modification analysis
Outcome: A multi-layered biomarker profile for precision diagnosis and treatment.
Precision Medicine for Rare Diseases
Goal: Uncover rare disease mechanisms using multi-omics.
- Analyze Rare Variants:
- Genomics and Proteomics Core – Rare gene variant identification
- Functional Genomics and Bioinformatics Core – Single-cell and targeted variant analysis
- Glycan Analysis:
- Glycomics Core – Glycan profiling and glycoprotein analysis.
- Metabolomics Profiling:
- Mass Spectrometry Core – Metabolic pathway and lipidomics profiling.
Outcome: Insights into rare disease pathology and therapeutic targets.
Sequential Workflow
Ideal for hypothesis-driven research, where stepwise analyses build upon each other to refine findings and guide subsequent steps. Below are examples of how sequential workflows provide step-by-step analyses, where each stage builds upon the previous:
Drug Response and Mechanism Studies
Goal: Evaluate the effect of a novel RNA therapeutic.
- RNA Therapeutics:
- Delivery Unit – RNA administration via lipid nanoparticles
- Detection Unit – Identify mutations and gene expression changes.
- Functional Genomics and Bioinformatics Core – Identify mutations and gene expression changes.
- Analyze RNA Targets:
- Bioinformatics Unit – RNA interaction and target analysis
- Protein-Level Changes:
- Genomics and Proteomics Core – Measure protein expression linked to identified genes.
- Molecular Effects:
- Glycomics Core – Analyze glycosylation changes in proteins affected by RNA therapeutic treatment.
- Mass Spectrometry Core – Analyze downstream metabolic effects of those proteins.
Outcome: Uncover molecular mechanisms driving disease progression.
Spatial Analysis for Disease Pathways
Goal: Validate spatial findings with molecular data.
- Spatial Transcriptomics:
- Spatial Technologies Unit – Generate spatial maps of gene or protein expression in tissues.
- Protein Validation
- Histology Core – Validate protein abundance using tissue staining and imaging.
- Genomics and Proteomics Core – Quantify protein changes using SOMAscan technology, focusing on proteins identified in spatial transcriptomics data.
- Molecular Changes
- Glycomics Core – Analyze glycan profiles in the same tissue regions to explore glycosylation-related changes.
- Mass Spectrometry Core – Quantify molecular changes in tissue regions identified by spatial analysis.
Interested in Planning a Multi-Omics Study?
- Explore our services and consult with BIDMC’s Omics Cores to design the workflow best suited to your research goals. Request Multi-Omics Consultation Service Today