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Welcome to The Spatial Biology Facility

A joint initiative between the Faculty of Life Sciences & Medicine and the Faculty of Dentistry, Oral & Craniofacial Sciences at King’s College London

Our Facility

We provide our research community with spatial transcriptomics, proteomics and multi-omics solutions to assist with their research projects.

Our Goal

With a strong focus on producing accurate, reproducible data and the bioinformatics support to interpret the results, we aim to foster a collaborative environment across disciplines so that investigators can innovate and transform their research.

Single-Cell Spatial Omics

Single-Cell Spatial Omics - Montage of immunofluorescence tissue images with cellular details. Top row shows nuclei and protein staining; bottom demonstrates cell cluster segmentation by color.
Top: Immunofluorescence images of the tissue, where nuclei are stained with DAPI, boundaries are stained with ATP1A1/CD45 and the interior protein is stained with alpha-SMA. Bottom: Cell segmentation of the tissue, where each cell cluster is identified using Leiden clustering in the UMAP representation of single-cell transcriptomics.

NanoString CosMx SMI

The CosMx Spatial Molecular Imager (SMI) enables high-plex spatial profiling, allowing quantification and visualization of 1,000, 6,175, or the whole transcriptome (~19,000 transcripts). For proteomic analysis, it supports 64 validated human proteins and 68 mouse proteins (for neuroscience applications), with the option to include up to 8 customizable protein targets.

The platform also enables multiomics by combining protein and RNA (at any of the three plex levels) analysis on the same tissue section, allowing researchers to comprehensively map single cells within their spatial context.

 

10x Genomics Xenium Analyzer

The 10x Genomics Xenium Analyzer enables bespoke spatial analysis using custom-made panels (480 transcripts), pre-designed tissue-specific panels (up to 380 genes) or with the Human or Mouse Pan Tissue & Pathways Panel (5,006 transcripts). Additionally, up to 100 extra genes can be added to further customize the assay.

The multiomic capability of the platform is achieved by combining RNA spatial profiling (<500-gene panels) with protein detection (up to 27 targets) on the same tissue section.

Bioinformatics Analysis

Our extensive experience in spatial transcriptomics and proteomics enables us to support our customers.

  1. Tailored experimental designs
  2. In-depth bioinformatics analysis
  3. Data interpretation

Facility staff

Anita  Grigoriadis

Professor of Molecular and Digital Pathology

Ciro Chiappini

Reader in BioNano Engineering

Anthony Baptista

Postdoctoral Research Fellow

Chenlei Gu

Spatial Biology Facility Manager

NanoString CosMx SMI

The CosMx Spatial Molecular Imager (SMI) enables high-plex spatial profiling, allowing quantification and visualization of 1,000, 6,175, or the whole transcriptome (~19,000 transcripts). For proteomic analysis, it supports 64 validated human proteins and 68 mouse proteins (for neuroscience applications), with the option to include up to 8 customizable protein targets.

The platform also enables multiomics by combining protein and RNA (at any of the three plex levels) analysis on the same tissue section, allowing researchers to comprehensively map single cells within their spatial context.

 

10x Genomics Xenium Analyzer

The 10x Genomics Xenium Analyzer enables bespoke spatial analysis using custom-made panels (480 transcripts), pre-designed tissue-specific panels (up to 380 genes) or with the Human or Mouse Pan Tissue & Pathways Panel (5,006 transcripts). Additionally, up to 100 extra genes can be added to further customize the assay.

The multiomic capability of the platform is achieved by combining RNA spatial profiling (<500-gene panels) with protein detection (up to 27 targets) on the same tissue section.

Bioinformatics Analysis

Our extensive experience in spatial transcriptomics and proteomics enables us to support our customers.

  1. Tailored experimental designs
  2. In-depth bioinformatics analysis
  3. Data interpretation

Facility staff

Anita  Grigoriadis

Professor of Molecular and Digital Pathology

Ciro Chiappini

Reader in BioNano Engineering

Anthony Baptista

Postdoctoral Research Fellow

Chenlei Gu

Spatial Biology Facility Manager


Contact us

Our facility is run by dedicated and skilled professionals who are passionate about the services we provide. Please contact us for more information. We are based at: Innovation Hub Guy’s Cancer Centre King’s College London Great Maze Pond London SE1 9RT United Kingdom