Why PAD Services for Therapeutic Development
PAD services are the easiest way to access single-cell insights via the Tapestri platform. From understanding therapy resistance mechanisms that are impossible to obtain through traditional methodologies to precision disease profiling and therapeutic characterization that provide a deeper understanding of the patient journey, PAD services are your link to uniquely insightful, actionable data at any development stage.
Pre-Discovery
Goals: Understanding of the processes and pathways underlying disease, which can provide important insights into potential therapeutic targets and strategies.
Target Identification
Identify specific molecules that play a crucial role in a disease state and ensure that the targets are druggable to produce beneficial and therapeutic effects.
How Tapestri Helps
- Identify the molecular mechanisms (gene lesions/ surface protein) relevant to disease.
- Characterize the clonal trajectories involved in tumor development and progression.
- Dissect the molecular heterogeneity of the target throughout the course of disease to determine if they are correlated with disease exacerbation or progression.
- Dissect the intratumoral heterogeneity that could lead to cancer adaptation and therapeutic failure.
Target Validation
Goals: Extensive experiments to validate whether modulating the target will result in the desired therapeutic effects.
Lead Discovery & Optimization
Preclinical Dev
HTS to evaluate 10,000 + cpds to identify those that interact with the target.
ID lead cpd/s and optimize for potency and specificity.
Preclinical testing on in vivo animal models to determine the efficacy and safety of the drug, PK/PD, immunogenicity and dosing.
How Tapestri Helps
Target Validation
- Dissect the molecular heterogeneity and evolution of the target/s in disease models to determine if they correlate with disease progression.
- Identify the acquisition of resistance mechanisms that could alter potency of targeted therapies.
- Confirm that PDX model recapitulate disease from the patient it was derived from.
Lead Discovery & Optimization / Preclinical Dev
- Measure therapeutic efficiency of agents to ID lead compound.
- Track genetic and immunophenotypic changes that alter potency of lead compound.
Goals: Clinical trials involve human participants. Provide information on efficacy, safety, PK/PD and dosing and interaction with other drugs.
Phase 1: 20-80 human subjects
Phase 2: 100-300 human subjects
Phase 3: 1000-3000 human subjects
How Tapestri Helps
- Predictive biomarker screening to identify responders vs non responders and improve patient stratification.
- Track genetic and immunophenotypic changes to measure therapeutic efficiency and changes that alter potency of lead compound.
- Predict relapse on remission timepoints.
PAD Proof of Concept Study
A look at your samples using our single-cell lens
Get a side-by-side comparison of your orthogonal dataset against Tapestri’s single-cell multi-omics and see what was missed. Our Proof of Concept Study will allow you to test drive Mission Bio’s innovative technology on a small sample set and experience working with our assay development team, R&D organization, and bioinformatics support.
OUR ONCOLOGY EXPERTS PARTNER WITH YOU TO:
- Scope your single cell multi-omics project with the goal of uncovering therapeutic resistance
- Identify high impact longitudinal sample sets that indicate clinical relevance
- Deliver a comprehensive report that highlights therapeutic insights
- Deliver next-generation clinical trial design for better patient stratification
Your raw data will be analyzed by expert bioinformaticians and you’ll receive a comprehensive report, summarizing study design and single-cell data interpretation on SNVs, indels, chromosomal rearrangements and CNVs; as well as structural characteristics like zygosity, mutational co-occurrence, and the presence of rare cell populations.
- Sequencing performance metrics
- Target panel performance metrics
- Bulk sequencing data compared with single-cell sequencing
- Clonal phylogeny
- SNV and CNV analysis
- Immunophenotyping & cell lineage
- UMAP clustering & FISH plots
