Single cell & spatial multiomics
Maximize insights, maximize success in pharma
Boost confidence in every decision across your drug development pipeline with single cell and spatial context
Transforming drug development with single cell and spatial
Get high-resolution insights that will improve your odds of finding better targets, selecting the best leads, comprehensively profiling mechanisms of action (MOA), assessing safety and toxicity, identifying more actionable response and resistance biomarkers, and reducing clinical trial failures.
Unlocking the right targets for tomorrow's therapies
Pain point
Challenges selecting the best targets
Traditional tools provide an incomplete understanding of disease biology, making it difficult to separate good targets from bad ones.
How single cell and spatial multiomics can help
Uncover hidden biology for better target selection
Identify and validate actionable targets with a deeper understanding of the cellular heterogeneity and context driving disease pathology.
We're leveraging [10x Genomics technology] in target identification to better understand diseases and for finding new drug targets. We get this really amazing view into things with high resolution, which allows us to understand the differences between the cells of various different diseases we are interested in.
Sophia Wild, PhD
Principal Scientist at Novartis
Single cell and spatial applications in target ID and validation
Functional genomics
Identify and validate druggable targets with single cell CRISPR screening
Disease pathology
Profile the heterogeneity and rare cell types implicated in disease progression and response
Biomarker discovery
Identify/validate biomarkers that predict desired disease response to therapeutic interventions
Epigenetic discovery
Pinpoint the epigenetic modifications that drive disease progression
AI-powered discovery
Combine multimodal data with AI to discover new targets and biomarkers
Featured publication
Featured publication
Spatial transcriptomic characterization of pathologic niches in IPF
Highlighted how disease-specific niches drive pathology, offering actionable insights for druggable targets.
Featured publication
Estimating the impact of single-cell RNA sequencing of human tissues on drug target validation
Determined that targets with cell-type-specific expression identified by scRNA-seq were more likely to move into clinical development and pass Phase 1.
Other featured resources
Webinar: Harnessing spatial biology & AI for targeted therapeutics
Webinar: Moving drug development forward with single cell
More mechanistic insights, more effective lead prioritization
Pain point
Struggle to refine selection of candidates
Inefficient hit screening tools fail to resolve therapeutic effects and mechanisms with the necessary level of detail.
How single cell and spatial multiomics can help
Reveal therapeutic mechanisms to prioritize the best leads
Assess the MOA of lead candidates at the cellular level on diverse cell populations and pathways.
Our results demonstrate that scBCR-seq can be used for rapid discovery of large, diverse panels of high-affinity antigen-specific antibodies with natively paired heavy- and light-chains when combined with high-quality antigen-specific B-cell sorting.
Goldstein LD, et al. Commun Biol. 2: 304 (2019).
Quote and image used under CC BY 4.0
Single cell and spatial applications in candidate development
Hit discovery and screening
Identify initial therapeutic candidates, including antibodies, that show potential activity against a desired disease target
Hit-to-lead optimization
Refine the initial hits, including promising antibodies, to improve their properties, such as potency, selectivity, and pharmacokinetics
Featured publication
Featured publication
Massively parallel single-cell B-cell receptor sequencing enables rapid discovery of diverse antigen-reactive antibodies
Resolved antigen-reactive B-cell lineages and reliably pinpointed high-affinity antibodies, accelerating candidate optimization and validation.
Featured publication
Pooled knockin targeting for genome engineering of cellular immunotherapies
Provided high-dimensional insights into T-cell states and transcriptional programs induced by knockin constructs, enabling precise functional validation and refinement of promising candidates.
Other featured resources
Webinar: Advances in drug discovery & development
Webinar: Single cell immune profiling for vaccine research and antibody discovery
Optimize IND readiness with deeper preclinical insights
Pain point
Gathering only limited insights into MOA, pharmacodynamics, pharmacokinetics, toxicity, and safety
Lack of robust molecular data leads to poor predictions about ADME/tox, efficacy, and safety of therapies.
How single cell and spatial multiomics can help
Obtain high-resolution preclinical profiles to support IND filings
Get cellular- and tissue-level MOA, efficacy, and safety data to select better drug–target combinations to advance to trials.
The preclinical team contacted us to do single cell RNA sequencing with the goal of understanding which of the cell types were responsible for generation of interferon response genes. We were able to find gene signatures associated with the treatment with a TLR7 agonist.
Emilio Yangüez, PhD
Senior Scientist, Roche
Single cell and spatial applications in preclinical development
Mechanism of action studies
Assess the therapeutic MOA using preclinical models
Toxicity and safety
Monitor and evaluate the toxicity and safety of the drug using preclinical models
Pharmacokinetics/pharmacodynamics
Examine the biodistribution and impact of therapeutic compounds on cells and tissues
Immunogenicity assessment
Evaluate the potential of drug candidates to elicit an immune response
Efficacy and response studies
Assess the efficacy and response of the drug in preclinical studies
Featured publication
Featured publication
TGFβ-blockade uncovers stromal plasticity in tumors by revealing the existence of a subset of interferon-licensed fibroblasts
Demonstrated howTGFβ-blockade reshapes the tumor microenvironment to enhance immunotherapy efficacy, providing strong preclinical evidence for the effectiveness of this combination strategy.
Featured publication
Single-nuclei RNA sequencing assessment of the hepatic effects of 2,3,7,8-Tetrachlorodibenzo-p-dioxin
Uncovered cell-specific transcriptional responses and population shifts in the liver following TCDD treatment, which were critical for understanding the mechanisms of TCDD-induced toxicity.
Featured publication
Single-cell analyses identify brain mural cells expressing CD19 as potential off-tumor targets for CAR-T immunotherapies
Revealed a rare neural cell population that may explain the neurotoxicity observed in patients receiving CD19 CAR-T therapy as a result of unintended targeting.
Featured publication
Spatial single-cell transcriptomic analysis in breast cancer reveals potential biomarkers for PD1 blockade therapy
Highlighted how the spatial organization of cells and their interactions are often crucial for understanding therapeutic responses and provided evidence for using ligand–receptor activity as a predictive biomarker for therapy response.
Other featured resources
Webinar: Fixed tissue workflows in clinical trials
Increase clinical trial success with high-resolution insights
Pain point
Imprecise understanding of the biology of therapeutic response and resistance puts trials at risk
Not fully understanding mechanisms dictating response and resistance increases the chance of clinical trial failures.
How single cell and spatial multiomics can help
Gain a more complete view of therapeutic response in patient populations
Better understand response and resistance, plus confirm MOA, efficacy, and safety/toxicity to mitigate late-stage failures.
In what we believe is one of the first clinical trials to incorporate systematic scRNAseq analysis of paired pre- and on-treatment tumor biopsies from all patients, we identified a potential mechanism underlying the cooperativity observed between BRAF/MAPK inhibition and immune response.
Tian J, et al. Nat Med. 29 (2023).
Quote and image used under CC BY 4.0
Single cell and spatial applications in clinical trials
Mechanism of action studies
Assess the therapeutic MOA in clinical trial samples
Toxicity and safety
Monitor and evaluate the toxicity and safety of the drug in clinical trial samples
Pharmacokinetics/pharmacodynamics
Examine the biodistribution and impact of therapeutic compounds on cells and tissues
Immunogenicity assessment
Evaluate the potential of drug candidates to elicit an immune response
Efficacy and response studies
Assess the efficacy and response of the drug in clinical trial samples
Featured publication
Featured publication
Spatial biomarkers of response to neoadjuvant therapy in muscle-invasive bladder cancer: the DUTRENEO trial
Demonstrated a strong association between spatial biomarkers and treatment responses.
Featured publication
Peripheral T cell expansion predicts tumour infiltration and clinical response
Determined T-cell clones and dynamics correlated with positive response and showed power of peripheral biomarkers for monitoring.
Featured publication
Spatial transcriptomics analysis of neoadjuvant cabozantinib and nivolumab in advanced hepatocellular carcinoma identifies independent mechanisms of resistance and recurrence
Characterized tumor microenvironment features that played a critical role in therapeutic success or resistance.
Featured publication
Neoadjuvant chemotherapy plus nivolumab with or without ipilimumab in operable non-small cell lung cancer: the phase 2 platform NEOSTAR trial
Highlighted the diversity of cells within the TIME and pinpointed the major pathologic response differences seen between treatment regimens.
Featured publication
Randomized phase II trial of dendritic cell/myeloma fusion vaccine with lenalidomide maintenance after upfront autologous hematopoietic cell transplantation for multiple myeloma: BMT CTN 1401
Revealed how vaccination impacted the immune repertoire post-vaccination and validated the efficacy of this treatment strategy.
Featured publication
Netrin-1 blockade inhibits tumour growth and EMT features in endometrial cancer
Clarified the transcriptional mechanisms promoting treatment response and potentially alleviating tumor resistance to standard treatments.
Other featured resources
Webinar: Fixed tissue workflows in clinical trials
Webinar: Single cell genomics in clinical studies
Tools tailored for every stage of drug development
Ready to get started? Learn more about our single cell and spatial offerings that can support your whole drug development pipeline from discovery to clinical trials, giving you the flexibility to choose the best tool for your specific needs.
Platform |  Chromium Single Cell platform |  Visium Spatial platform |  Xenium Spatial platform |
|---|---|---|---|
When to use | Comprehensive single cell data Ideal for deep characterization of cell populations and states. | High-resolution spatial gene expression Understand complex tissues, cellular neighborhoods, and cell to cell interactions. Integration with other spatial-omics, histology, and morphology. | |
Why to use | Unbiased single cell discovery High per-gene sensitivity | Unbiased spatial discovery | Targeted spatial exploration High per-gene sensitivity |
Analytes | Whole transcriptome gene expression Protein TCR, BCR CRISPR ATAC | Whole transcriptome gene expression | Targeted gene expression (up to 5,000 genes) |
Resolution | Single cell | Transcripts assigned to 2-µm areas | Single cell |
Data readout | NGS-based | NGS-based | Imaging-based |
Sample compatibility | Cell and nuclei suspension, Tissue (fresh, frozen, FFPE, PFA-fixed) Flow-sorted cells Fixed whole blood and PBMCs Organoids | FFPE Fresh frozen Fixed frozen | Fresh frozen FFPE |
Access the power of single cell and spatial through Service Providers
Looking for flexibility or additional support? Our Service Provider Network offers a way to access 10x Genomics’ cutting-edge technologies without the need for an in-house setup.
