10x Genomics AI

10x Genomics AI

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10x Genomics delivers AI-powered genomics platforms for single-cell transcriptomics and spatial biology, helping researchers decode disease and accelerate drug discovery.

About

10x Genomics is a leading life sciences technology company offering powerful platforms for single-cell analysis and spatial genomics, purpose-built to decode biology and advance human health. Their flagship Chromium Single Cell platform enables transcriptomic profiling of up to one million individual cells, with multiomic capabilities that reveal cellular diversity, gene regulatory interactions, and novel biomarkers. The Xenium In Situ spatial imaging platform maps RNA molecules at subcellular resolution in tissue sections, providing unmatched clarity into cellular mechanisms and spatial gene expression patterns. A new Xenium Protein addition introduces first-of-its-kind spatial multiomics, simultaneously mapping protein and RNA within the same cell using a fully automated workflow. The company's AI cell model initiative leverages high-quality data from billions of cells and massive tissue collections to help researchers and pharmaceutical companies build accurate, trustworthy virtual cells that accelerate discovery and drug development. With over 10,000 publications citing their technologies, 10x Genomics serves a broad community of scientists working across oncology, immunology, neuroscience, developmental biology, and pharmaceutical research. Their tools are designed to help researchers outsmart cancer, understand immune system dynamics, and raise the odds of drug development success in one of science's most challenging domains.

Key Features

  • Chromium Single Cell Platform: Profile up to one million single cells with multiomic capabilities, enabling discovery of cellular diversity, novel subtypes, and gene regulatory interactions.
  • Xenium In Situ Spatial Imaging: Map RNA molecules at subcellular resolution in tissue sections to reveal spatial gene expression patterns and cellular mechanisms in context.
  • Xenium Protein Spatial Multiomics: Simultaneously map protein and RNA in the same cell using an automated workflow—a first-of-its-kind capability for immunology and oncology research.
  • AI Cell Model Support: Generate high-quality data from billions of cells to power trustworthy virtual cell models that accelerate drug discovery and development pipelines.
  • Flex Apex for FFPE & Fixed Samples: Profile formalin-fixed paraffin-embedded (FFPE) tissue and fixed whole blood with Chromium Precision to uncover biology behind treatment responses.

Use Cases

  • Pharmaceutical researchers profiling FFPE tumor samples to understand why certain patients respond to cancer therapies.
  • Immunologists mapping millions of immune cells to uncover how the immune system misfires in autoimmune diseases.
  • Oncologists using spatial multiomics to visualize tumor microenvironments and identify new therapeutic targets.
  • AI researchers leveraging large-scale single-cell datasets from 10x platforms to train virtual cell models for in silico drug screening.
  • Neuroscientists profiling brain tissue at subcellular resolution to study cellular diversity and gene regulatory networks in neurological conditions.

Pros

  • Unmatched Resolution: Subcellular and single-cell resolution across RNA and protein analysis gives researchers unprecedented visibility into biological systems.
  • Broad Research Applications: Platforms serve diverse fields including oncology, immunology, neuroscience, and pharma, supported by 10,000+ peer-reviewed publications.
  • AI-Ready Data Quality: Data generated by 10x platforms meets the stringent quality requirements needed to build reliable AI cell models for drug discovery.
  • Automated & Integrated Workflows: Fully automated workflows such as Xenium Protein reduce manual intervention and ensure reproducibility across experiments.

Cons

  • High Cost of Entry: Instruments, reagents, and consumables are expensive, making the platform primarily accessible to well-funded research institutions and pharma companies.
  • Steep Learning Curve: Optimal use of single-cell and spatial platforms requires significant bioinformatics expertise and familiarity with specialized analysis pipelines.
  • Hardware Dependency: Full platform capabilities require proprietary instruments, limiting accessibility for labs without capital equipment budgets.

Frequently Asked Questions

What is the Chromium Single Cell platform used for?

The Chromium Single Cell platform enables high-throughput transcriptomic profiling of up to one million individual cells per run, with multiomic capabilities to study gene expression, chromatin accessibility, and protein levels simultaneously.

How does Xenium In Situ differ from single-cell sequencing?

Unlike single-cell sequencing, Xenium In Situ keeps cells in their tissue context, mapping RNA at subcellular resolution directly within tissue sections to reveal spatial gene expression and cell-cell interactions.

Can 10x Genomics tools be used for drug discovery?

Yes. Their platforms are widely used in pharma to understand disease mechanisms, identify drug targets, and assess treatment response at the single-cell and spatial level, helping raise the odds of clinical success.

What is 10x Genomics' role in AI cell models?

10x Genomics provides the high-quality, large-scale biological data—from billions of cells—that is essential for training accurate and trustworthy AI virtual cell models used in drug development.

Is 10x Genomics software available via API or cloud?

Yes, 10x Genomics offers analysis software and cloud-accessible tools to process and visualize genomic data, complementing their hardware platforms for end-to-end research workflows.

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