G4X Performance

Robust performance across tissue types and applications.

RNA Sensitivity

RNA Specificity

RNA Reproducibility

Probe-level Detail

Protein Quality

Multiomic Correlation

Precise Biological Insights

3D Spatial with G4X^yz

Application Performance

3D multiomic kidney cancer reconstruction and niche visualization on G4X

3D niches from multiomic reconstruction of 10 serial renal cell carcinoma sections on single G4X flowcell (6.2 M cells).

Sensitivity

Sensitive Transcript Detection

‍

G4X employs padlock probes and rolling circle amplification to achieve high sensitivity in transcript detection. This allows for the accurate identification and localization of even low-abundance transcripts within a tissue sample.

Median number of transcripts and unique genes per cell for each FFPE tissue type in both healthy and cancerous tissues (color coordinated). Data from 300 plex panel.

Specificity

Low False Discovery Rates

‍

Padlock probes with dual-binding sites to ensure high specificity in transcript detection. Furthermore, the platform incorporates robust internal controls to minimize variability and ensure accurate quantification of target transcripts within each experiment.

Negative control probe (NCP) and negative control sequence (NCS) false discovery rates (FDR) for each FFPE tissue type. Data from 300 plex panel.

Reproducibility

Exceptional Reproducibility

‍

Robust chemistry, precisely controlled workflow, and inherent system throughput enable exceptional section-to-section reproducibility within a lane, across flow cells and across runs. This consistency ensures reliable and comparable results across multiple experiments and samples, facilitating robust spatial mulitiomic analysis

Pearson correlation of per-probe and per-gene expression with positive probes (green) and negative controls between serial sections of kidney cancer FFPE sample profiled on two separate flow cells. Data generated with 300 plex panel.

Probe-level detail

Probe-level Specificity

In situ sequencing of each padlock probe binding region provides probe-level information unlike barcoding-based approaches. By applying spatial clustering statistics individual probes with unintended binding behavior can be identified and removed physically or bioinformatically from panels.

Protein Performance

High-quality proteomics

Amplification of padlock probes on oligo-conjugated antibodies followed by multiple rounds of imaging with a 4-color chemistry facilitates highly sensitive and specific protein detection in clinically relevant sample types. The G4X shows high concordance with immunofluourescence across markers and tissue types.

Multiomic correlation

Correlative multiomic results

Simultaneous identification of protein and transcript expression enables internal validation of single-cell results, strengthening confidence in results and revealing the complex interplay between gene expression and protein activity.

Protein and transcript correlation in lung cancer sample, detailed co-occurance of RNA and protein makers, and multimodal insights revealing distinct tumor clusters.

insights

Deep biological insights

‍

High quality results at subcellular resolution enables detailed characterization of the tumor and immune microenvironment, facilitating insights into disease biology and cell interactions.

Protein, cell type and niche identification in lung cancer sample reveals B-cell enriched immune aggregates.

G4Xyz

Comprehensive 3D Spatial Analysis

‍

Exceptional reproducibility of multiomic results on G4X enables robust serial section reconstruction, for a complete 3D understanding of the tissue microenvironment with enhanced insights into cellular organization, interactions, and function.

View Poster

Ten 1cm², 5um thick serial sections of an FFPE renal cell carcinoma sample profiled on a single G4X flow cell. Multiomic results on 6.2 million cells and 483 million transcripts were followed by unsupervised clustering, automated cell type annotation and 3D niche detection.