Parse Biosciences Evercode™ WT FFPE

May 13, 2026/in Evercode, Parse, Partners, Seminar/by Harshita Sharma

Parse Biosciences Evercode™ WT FFPE

Whole Transcriptome Single-Cell RNA-Seq From the Archived Samples You Already Have

Evercode™ WT FFPE brings whole transcriptome single-cell RNA sequencing to formalin-fixed, paraffin-embedded tissue — unlocking retrospective cohorts that have historically been out of reach for discovery-driven transcriptomics. Unlike existing FFPE single-cell methods that rely on targeted probe panels and limit your analysis to a predefined gene list, Evercode WT FFPE uses reverse transcription-based chemistry to capture the full transcriptome directly from archived tissue. The result is unbiased, discovery-scale snRNA-seq from the clinical samples you already have in storage — without restricting what you can find before you start looking.

Designed for cohort-scale studies, Evercode WT FFPE supports processing from a single sample up to 96 samples per run, with cell throughput scaling from 10,000 to 5 million cells across four kit configurations. Combinatorial barcoding is built into the workflow — multiplexing requires no additional steps or protocols, minimising batch effects and technical variability across large sample sets. The platform is instrument-free and automation-compatible, supporting straightforward adoption and scale-up across standard and high-throughput laboratory environments. As your ANZ distributor for Parse Biosciences, Decode Science can advise on kit selection, experimental design, and workflow integration for your specific cohort.

Key Features: What makes FFPE Popular?

Whole Transcriptome Profiling — Not a Probe Panel

Every targeted FFPE single-cell method makes the same trade-off: you get clean data on the genes you chose, and nothing on the ones you didn't. Evercode WT FFPE captures the full transcriptomic landscape — including transcript isoforms, SNPs, and long non-coding RNAs — without restricting discovery to a predefined panel. For researchers working on cell state identification, regulatory biology, or exploratory cohort analysis, this is the difference between confirmation and genuine discovery.

Reliable Gene Expression Data From Degraded RNA

FFPE fixation fragments RNA, and fragmented RNA has historically degraded the accuracy of gene expression measurements. Evercode WT FFPE uses reverse transcription chemistry specifically optimised for fragmented RNA, enabling consistent gene expression detection and confident cell state identification from archival material. The resulting data are directly comparable with fresh tissue datasets — preserving biological signal across sample types and supporting cross-cohort integration without correction artefacts.

Instrument-Free and Automation-Compatible Across Four Kit Sizes

Evercode WT FFPE requires no dedicated instrument for the core workflow, lowering the barrier to adoption and making it accessible to labs without specialised single-cell infrastructure. Four kit configurations — Mini, Standard, Mega, and Penta — scale from 10,000 cells and 1–12 samples up to 5 million cells and 1–96 samples, supporting everything from pilot experiments to large-scale clinical cohort studies. The workflow is compatible with laboratory automation for high-throughput operations.

Not sure which kit configuration fits your cohort size?

Our team can help you match the right Evercode WT FFPE kit to your sample numbers, cell input, and experimental design.

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Why It Matters to You

Because Your Most Valuable Samples Are Already in the Biobank

Fresh tissue single-cell studies are powerful — but they’re prospective by design. The patients you’ve already treated, the tumours you’ve already resected, the longitudinal samples you’ve already collected — those are locked in FFPE blocks, largely inaccessible to the transcriptomic methods that would extract the most value from them.

Evercode WT FFPE changes that calculus. Its relevance is clearest in these settings:

Retrospective cohort studies

Clinical biobanks represent years of carefully annotated patient samples. Whole transcriptome snRNA-seq from these collections enables discovery-driven analysis of disease progression, treatment response, and cellular heterogeneity at a scale and clinical depth that prospective studies take years to replicate.

Tumour microenvironment and cell state analysis

FFPE tissue preserves spatial and cellular context. Evercode WT FFPE recovers full transcriptomic complexity from these samples — including lncRNA expression and regulatory transcript diversity — enabling characterisation of rare cell states and microenvironmental programs that targeted panels miss entirely.

Multi-site and multi-cohort studies

Built-in multiplexing and instrument-free operation make it straightforward to harmonise sample processing across institutions and study sites, reducing the batch effects that complicate cross-cohort comparison.

Integration with fresh tissue data

Evercode WT FFPE data are directly comparable with fresh tissue snRNA-seq datasets, enabling combined analysis across sample types within a single study and supporting meta-analyses that span preservation methods.

Product Data: Performance From Archived Tissue

Whole transcriptome single cell profiling from FFPE samples

Accurate Cell State Identification From FFPE

Evercode WT FFPE enables confident identification and annotation of distinct cell populations from archived FFPE tissue, with gene expression measurements that support direct integration with fresh tissue reference datasets. Cell state resolution is maintained across sample types, preserving biological signal through the variability introduced by fixation and archival storage.

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lncRNA and Regulatory Transcript Detection

Whole transcriptome capture recovers biologically meaningful regulatory RNA species that targeted panels cannot access. Long non-coding RNA expression — including transcripts such as TUG1, LINC00993, and LINC00472 — is detectable across annotated cell populations, enabling analysis of regulatory programs within specific cell states. In TNBC tumour epithelial cells, for example, differential lncRNA expression across proliferating and non-proliferating states reflects the complex regulatory landscape across breast cancer subtypes — a finding that probe-based methods cannot surface.

Ready to sequence your FFPE cohort?

Request a quote or talk through your experimental design — we’ll respond at the earliest. Our team can help you match the right Evercode WT FFPE kit to your sample numbers, cell input, and experimental design.

Cohort-Scale Multiplexing With Minimised Batch Effects

Processing multiple samples within a single combinatorial barcoding experiment reduces technical variability and supports the statistical power needed for meaningful biological comparisons. Large retrospective cohorts can be processed together without introducing the batch effects that arise from sequential single-sample runs — a critical requirement for clinical cohort studies where sample-to-sample consistency directly impacts interpretation.

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Scalable Throughput Across Four Kit Configurations

Kit	Cells per Run	Samples per Run
Evercode WT FFPE Mini	Up to 10,000	1–12
Evercode WT FFPE	10,000–100,000	1–48
Evercode WT FFPE Mega	100,000–1,000,000	1–96
Evercode WT FFPE Penta	1,000,000–5,000,000	1–96

Resources

Download Product Sheet Instantly!

Evercode™ Whole Transcriptome v4

BCR Sequencing of 1 Million Samples

Comparison of Evercode™ WT v3 and Chromium™ GEM-X Single Cell 3’ Kit v4

FAQs

What makes Evercode WT FFPE different from other FFPE single-cell methods?

Most existing FFPE single-cell approaches rely on targeted probe panels, which means your analysis is restricted to genes included in the panel at the time of design. Evercode WT FFPE uses reverse transcription-based chemistry to capture the full transcriptome, enabling unbiased discovery — including regulatory transcripts, lncRNAs, and transcript isoforms that probe-based methods cannot recover.

What tissue types has Evercode WT FFPE been validated on?

Evercode WT FFPE has been validated across a range of FFPE tissue types including tumour tissue. Contact Decode Science for tissue-specific guidance relevant to your sample type and storage conditions.

Do I need a dedicated instrument to run Evercode WT FFPE?

No. The core Evercode WT FFPE workflow is instrument-free and compatible with standard laboratory equipment. It is also compatible with laboratory automation for high-throughput processing.

How many samples can I process in a single run?

This depends on your kit configuration. The Mini kit supports 1–12 samples; the standard kit supports 1–48; and both the Mega and Penta kits support 1–96 samples per run.

Can Evercode WT FFPE data be integrated with fresh tissue snRNA-seq datasets?

Yes. Evercode WT FFPE is specifically designed to produce data directly comparable with fresh tissue datasets, supporting integration and cross-cohort analysis within a single study.

What sequencing platform is required?

Evercode WT FFPE libraries are compatible with Illumina sequencing platforms. Contact Decode Science for guidance on sequencing depth and read length requirements for your application.

What is the minimum RNA quality required?

Evercode WT FFPE uses reverse transcription chemistry optimised for fragmented RNA and does not require intact RNA. Contact Decode Science for guidance on tissue age, fixation duration, and input quality thresholds relevant to your samples.

Where can I access protocols and technical documentation?

Full protocols and technical documentation are available from Decode Science on request.

Whole transcriptome single cell analysis for FFPE tissues

April 1, 2026/in News, Parse/by Harshita Sharma

Whole transcriptome single cell analysis for FFPE tissues

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Single Cell Whole Transcriptome Analysis of Breast Cancer FFPE Samples Across Tumor Subtypes

Key Takeaways

Whole transcriptome single cell profiling from archival FFPE breast cancer samples resolves tumor, stromal, and immune compartments in a single experiment
Distinct epithelial programs are identified across clinically relevant subtypes, including ER+, ER/PR+, HER2+, and TNBC
Subtype- and proliferation-associated lncRNA expression patterns are captured, highlighting the value of unbiased RNA profiling in FFPE samples

Experimental Design:

Formalin-fixed, paraffin-embedded (FFPE) tissue represents a vast source of clinically annotated samples, but has been difficult to use for whole transcriptome single cell analysis. In this dataset, nuclei isolated from 4 archived breast cancer FFPE samples were profiled using Evercode WT FFPE’s reverse transcription–based workflow designed to capture whole transcriptome expression from degraded RNA, profiling over 100,000 nuclei.

These results demonstrate that FFPE samples enable whole transcriptome profiling that captures meaningful cell types and tumor subtype biology across multiple donors while preserving cellular heterogeneity.

Results:

Whole transcriptome profiling resolved epithelial tumor populations alongside stromal and immune compartments, including CAFs, endothelial cells, VSMCs, myeloid cells, pDCs, B cells, NKT cells, and mast cells.

Cells cluster strongly by donor, with clear differences in gene expression programs across samples. Subtype-specific expression patterns distinguish ER+, ER/PR+, HER2+, and TNBC tumors, with TNBC remaining particularly distinct after integration.

Figure 1: UMAP of human breast cancer FFPE nuclei. Tumor and proliferative epithelial states are resolved together with stromal and immune populations from FFPE samples.

Subtype- and state-associated lncRNA expression

Whole transcriptome profiling enables detection of biologically relevant lncRNAs across breast tumor cell states, revealing patterns linked to both tumor subtype and functional cell state.

LINC00993, a lncRNA associated with tumor-suppressive activity in breast cancer, is enriched in luminal epithelial populations. In contrast, the oncogenic lncRNA TUG1 shows higher expression in TNBC and proliferating epithelial states. These patterns are consistent with known subtype-associated biology and highlight how lncRNA expression reflects underlying tumor programs.

Figure 3: Proliferation-associated lncRNA expression.

Expression of TUG1 and additional lncRNAs across proliferating epithelial populations marked by Ki67 protein expression. Proliferating tumor cells show increased expression of specific lncRNAs, linking noncoding RNA activity to cell cycle state.

Proliferating epithelial populations show coordinated expression of TUG1 alongside proliferation markers, indicating an association between lncRNA activity and cell cycle progression.

Together, these results demonstrate that whole transcriptome FFPE profiling captures both coding and noncoding features of tumor biology across subtype and cell state.

Figure 2: Subtype-associated lncRNA expression across breast tumor cell states.

To further connect lncRNA expression with functional and clinical measures of proliferation, lncRNA expression was assessed using Ki67 positivity, as determined by prior immunohistochemistry protein staining.

Dot plot showing expression of LINC00993 and TUG1 across annotated cell populations. LINC00993 is enriched in luminal epithelial populations, while TUG1 is elevated in TNBC and proliferating epithelial populations. Dot size indicates the percent of cells expressing each transcript and color indicates average expression.

As the official distributor in Australia and New Zealand, Decode Science makes accessing genomics solutions straightforward. Our role is to connect your lab with advanced technologies, ensuring you get the right solution for your sequencing projects—delivered locally with support when you need it.

Evercode™ Whole Transcriptome v4

March 11, 2026/in Evercode, Parse, Partners, Seminar/by Harshita Sharma

BCR Sequencing of 1 Million Healthy and Diseased Samples in a Single Experiment

November 24, 2025/in News, Parse/by Harshita Sharma

BCR Sequencing of 1 Million Healthy and Diseased Samples in a Single Experiment

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Key Takeaways

Profiled 1 million human B cells in a single experiment
Detected 900,000+ unique paired clonotypes across Type 1 Diabetes, Multiple Sclerosis, Rheumatoid Arthritis, Crohn’s, Celiac, and healthy donors
Achieved sensitive detection of CDR3 regions, clonotypes, and full-length sequences at scale

Evercode BCR uncovered over 900,000 unique paired clonotypes across 24 samples in a single experiment. Negatively selected B cells from 12 healthy donors were purchased, while pan B cells were isolated from 12 autoimmune-diseased human PBMCs and fixed using the Evercode Cell Fixation Kit v3 to preserve cell structure and protect RNA integrity. Fixed samples were stored at -80°C until all were ready for combined processing with the Evercode BCR Mega Kit. Whole transcriptome and BCR-specific libraries were sequenced on the Illumina Novaseq X, and data were analyzed using Parse Biosciences’ Analysis Pipeline v1.3.0. Clustering with Seurat 5.0 showed that the majority of cells corresponded to major B cell subtypes, as illustrated in the UMAP below (Figure 1).

The assay demonstrated high sensitivity, detecting paired heavy and light chains in up to 89% of cells (Figure 2).

Downloads

As the official distributor in Australia and New Zealand, Decode Science makes accessing genomics solutions straightforward. Our role is to connect your lab with advanced technologies, ensuring you get the right solution for your sequencing projects—delivered locally with support when you need it.

Comparison of Evercode™ WT v3 and Chromium™ GEM-X Single Cell 3’ Kit v4 in Mouse Brain Nuclei

November 13, 2025/in News, Parse/by Harshita Sharma

Comparison of Evercode™ WT v3 and Chromium™ GEM-X Single Cell 3’ Kit v4 in Mouse Brain Nuclei

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Comparison Highlights

Evercode WT v3 delivers superior gene detection in head-to-head sensitivity tests.
Cell type proportions remain consistently represented.
Analysis of differential gene expression shows Evercode WT v3 identifies 2× more genes than competing methods.

Study Overview
Two embryonic mouse brains were sagittally dissected and flash-frozen by a third-party vendor.
One half from each brain was processed by a 10x Genomics certified provider for nuclei isolation and library preparation, while the other halves were processed by Parse Biosciences using their own workflow.
Sequencing was performed by a third-party, and data analysis was completed using each manufacturer’s respective pipeline.

As the official distributor in Australia and New Zealand, Decode Science makes accessing genomics solutions straightforward. Our role is to connect your lab with advanced technologies, ensuring you get the right solution for your sequencing projects—delivered locally with support when you need it.

Data Set: Parse 10 Million Human PBMCs in a Single Experiment

October 30, 2025/in News, Parse/by Harshita Sharma

Scale Single-Cell Research Like Never Before

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Key Takeaways

Analyze 10 million cells across 1,152 samples in a single experiment
Increase statistical power by profiling more cells per sample
Capture detailed cellular responses to perturbations and drug treatments

Figure 1: Experimental Design Overview
Approximately 10 million PBMCs from 12 healthy donors were treated with 90 different cytokines in a single GigaLab experiment, covering 1,092 experimental conditions.

Cells were thawed, washed, and seeded at 1 million cells per well across 12 plates. After 24-hour cytokine treatment, cells were fixed, barcoded, and processed for whole transcriptome sequencing. Libraries were sequenced on the Ultima Genomics platform, achieving ~31,000 reads per cell, with 62.45% cell retention after barcoding.

Results?

After data processing with the Parse Analysis Pipeline v1.4.0, integration, and classification, 9,697,974 cells across 18 immune cell types were identified—including rare populations that are typically missed in smaller experiments. Each condition yielded a median of 7,400 cells, enabling high-resolution analysis of immune responses.

Differential expression analysis identified how cytokines influenced gene activity across cell types. Many cytokines triggered strong transcriptional responses, with over 50 genes upregulated per treatment.

Figure 2: Single-Cell UMAP Overview
9,697,974 PBMCs from 12 donors were integrated with Harmony, clustered using Scanpy, and manually annotated, revealing 18 immune cell types present across all donors and experimental conditions.

Figure 3: Cytokine-Induced Gene Changes
A heatmap summarizes the averaged number of genes significantly upregulated (log fold change >0.3, p <0.001) for each cell type and cytokine, highlighting which immune cells respond most strongly to specific cytokine treatments.

Example tutorial vignettes from Parse Biosciences and Fabian Theis’ lab at Helmoltz-Munich:

Parse 10M PBMC Cytokines Clustering Tutorial
Joey Pangallo, Efi Papalexi – Parse Biosciences, Seattle, WA
Step-by-step example of analyzing 10 million PBMCs treated with cytokines using the Evercode workflow. Covers data loading, preprocessing, Leiden clustering, and generating UMAP plots with Scanpy.

Parse 10M PBMC Cytokines Clustering Tutorial (Downsampled)
Joey Pangallo, Efi Papalexi – Parse Biosciences, Seattle, WA
Same workflow as above, starting with a downsampled dataset of 1 million cells. Ideal for quicker exploration or limited CPU memory setups.

scCODA Parse 10M PBMC Cytokines
Artur Szałata, Dominik Klein, Soeren Becker, Fabian Theis – Helmholtz-Munich
Demonstrates analysis of cell proportion changes across 10 million PBMCs. Shows how using the full dataset improves statistical significance of perturbation effects. Based on scCODA, a Bayesian model for compositional single-cell data analysis (Nat Commun 12, 6876, 2021).

Parse 10M PBMC Cytokines Dask Workflow
Artur Szałata, Dominik Klein, Soeren Becker, Fabian Theis – Helmholtz-Munich
Walks through preprocessing the 10M cell dataset using Dask. Loads data chunk-wise to reduce memory use and demonstrates highly variable gene selection for downstream analysis.

Dataset License: CC BY-NC 4.0 (non-commercial use). Commercial licensing inquiries: support@parsebiosciences.com

QUICK DOWNLOAD FILES

10M PBMC 12donor 90cytokines h5ad (212 GB)

Parse 10M PBMC cytokines clustering tutorial

Parse 10M PBMC cytokines clustering tutorial on downsampled data

scCODA Parse 10M PBMC cytokines

Parse 10M PBMC cytokines Dask workflow

As the official distributor in Australia and New Zealand, Decode Science makes accessing genomics solutions straightforward. Our role is to connect your lab with advanced technologies, ensuring you get the right solution for your sequencing projects—delivered locally with support when you need it.

Evercode TCR Mega

February 21, 2024/in Evercode, Parse, Partners/by Harshita Sharma

PRODUCTS

Evercode TCR Mega

Unlock scalable immune profiling capabilities with Evercode™ TCR Mega, empowering you to analyze up to 1 million cells at a time. In the intricate landscape of immunity, comprehensive data is key. With Evercode™ TCR Mega, you can achieve unparalleled resolution in studying TCR clonotype diversity and T-cell states.

Benefit from the expansive scale of Evercode™ TCR Mega, which offers a host of advantages alongside the wealth of information provided by WT profiles. Whether you’re exploring immune responses, investigating cellular dynamics, or delving into immunotherapy research, Evercode™ TCR Mega equips you with the tools to navigate the complexities of the immune system with confidence and precision.

Up to 1 million cells in a single experiment

Experience the power of scale with Evercode. Conduct experiments with up to 1 million cells in a single run, unlocking the immense diversity within the immune repertoire like never before. With Evercode, identify an extensive array of TCR clonotypes, providing unparalleled insights into immune function and response.

Not only can Evercode detect clonotypes, but it also offers the capability to map them to T cell subtype clusters. By analyzing gene expression profiles from nearly 1 million T cells isolated from PBMCs, Evercode enables the classification of cells into distinct T cell subtypes. This comprehensive approach ensures a deeper understanding of immune dynamics and facilitates more nuanced analysis of immune responses.

High TCR detection in activated and primary T cells

Experience outstanding TCR detection in both activated and primary T cells with our cutting-edge profiling techniques. In our investigation, T cells derived from peripheral blood mononuclear cells (PBMCs) underwent two distinct conditions: direct profiling (Primary) and activation through culture for 3 days with CD3/CD28 beads and IL-2 (Activated).

Our results demonstrate robust TCR detection in both experimental conditions, highlighting the versatility and reliability of our methodology across diverse T cell states. Whether profiling primary T cells or their activated counterparts, our approach ensures accurate and comprehensive characterization of the TCR repertoire, providing invaluable insights into immune responses and cellular dynamics.

Trust in our advanced profiling techniques to deliver precise and high-fidelity data, enabling a deeper understanding of T cell biology and immunological processes. With our innovative methodologies, delve into the complexities of the immune system with confidence and clarity, paving the way for transformative discoveries in immunology.

Comprehensive immune repertoire detection

Immerse yourself in unparalleled detection of the immune repertoire with the Evercode™ TCR kit, meticulously crafted to offer the most comprehensive profile attainable. In a groundbreaking study spanning 8 donors, our kit revealed the identification of nearly 500,000 unique beta chain clonotypes.

Notably, the majority of these clonotypes were deemed rare, emphasizing the remarkable sensitivity and depth of our detection capabilities. With the Evercode™ TCR kit at your disposal, you gain the ability to unveil the complete spectrum of immune diversity, from commonplace to exceptionally rare clonotypes. This empowers you to delve into the intricacies of immune responses with unparalleled precision and breadth, opening new avenues for exploration and discovery in immunology.

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Evercode TCR

February 21, 2024/in Evercode, Parse, Partners/by Harshita Sharma

PRODUCTS

Evercode TCR

Explore the depths of the immune repertoire with our cutting-edge solution: single-cell TCR profiling combined with whole transcriptome analysis—no additional instrumentation required.

With our state-of-the-art technology, you can detect TCRs with remarkable sensitivity while simultaneously capturing transcriptome-wide gene expression, including essential T-cell subtype markers. Delve into the intricate cellular landscape and unlock unprecedented insights by examining paired alpha and beta sequences within individual cells.

This revolutionary approach empowers you to unravel the complex interplay between TCR diversity and gene expression profiles at the single-cell level, providing a holistic understanding of immune responses and cellular heterogeneity. Bid farewell to the constraints of conventional methods and embark on a transformative journey in immunogenomics research with our integrated solution.

High TCR detection in activated and primary T cells

Witness exceptional TCR detection in both activated and primary T cells through our state-of-the-art profiling techniques. In our investigation, T cells sourced from peripheral blood mononuclear cells (PBMCs) underwent two distinct conditions: direct profiling (Primary) and activation via culture for 3 days with CD3/CD28 beads and IL-2 (Activated).

Our findings reveal robust TCR detection in both experimental conditions, underscoring the versatility and dependability of our methodology across various T cell states. Whether profiling primary T cells or their activated counterparts, our approach guarantees precise and comprehensive characterization of the TCR repertoire, offering invaluable insights into immune responses and cellular dynamics.

Rely on our advanced profiling techniques to deliver meticulous and high-fidelity data, facilitating a deeper comprehension of T cell biology and immunological processes. With our innovative methodologies, explore the intricacies of the immune system with confidence and clarity.

Comprehensive immune repertoire detection

Experience unparalleled detection of the immune repertoire with the Evercode™ TCR kit, designed to provide the most comprehensive profile available. In a groundbreaking study encompassing 8 donors, our kit identified nearly 500,000 unique beta chain clonotypes.

Remarkably, the vast majority of these clonotypes were classified as rare, highlighting the sensitivity and depth of our detection capabilities. With the Evercode™ TCR kit, you can uncover the full spectrum of immune diversity, from common to exceedingly rare clonotypes, empowering you to explore the intricacies of immune responses with unprecedented precision and breadth.

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Let’s Find You an Application That Helps Your Research

Get a call from your local Decode Science representative to help you find the best fit genomics products for you.

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1300 581 991

Evercode TCR Mini

February 21, 2024/in Evercode, Parse, Partners/by Harshita Sharma

PRODUCTS

Evercode TCR Mini

Unlock the complexity of the immune repertoire with our innovative solution: single-cell TCR profiling combined with whole transcriptome analysis—all without the need for additional instrumentation.

With our advanced technology, you can achieve sensitive detection of TCRs while simultaneously measuring transcriptome-wide gene expression, including crucial T-cell subtype markers. Dive deep into the cellular landscape and gain unparalleled insights by analyzing paired alpha and beta sequences within the same cell.

This groundbreaking approach empowers you to uncover the intricate interplay between TCR diversity and gene expression profiles at the single-cell level, providing a comprehensive understanding of immune responses and cellular heterogeneity. Say goodbye to the limitations of traditional methods and embark on a new era of immunogenomics research with our integrated solution.

High TCR detection in activated and primary T cells

Experience high TCR detection in both activated and primary T cells with our advanced profiling techniques. In our study, T cells isolated from peripheral blood mononuclear cells (PBMCs) underwent two distinct conditions: direct profiling (Primary) and activation through culture for 3 days with CD3/CD28 beads and IL-2 (Activated).

Our results demonstrate robust TCR detection in both scenarios, showcasing the versatility and reliability of our methodology across different T cell states. Whether profiling primary T cells or activated counterparts, our approach ensures accurate and comprehensive characterization of the TCR repertoire, providing invaluable insights into immune responses and cellular dynamics.

Count on our advanced profiling techniques to deliver precise and high-quality data, enabling deeper understanding of T cell biology and immunological processes.

Ready to Order?

Our team can help you in placing the order. Click below to get a quote and fast ordering.

Let’s Find You an Application That Helps Your Research

Get a call from your local Decode Science representative to help you find the best fit genomics products for you.

Or give us a call at:

1300 581 991

Evercode WT Mega

February 21, 2024/in Evercode, Parse, Partners/by Harshita Sharma

PRODUCTS

Evercode WT Mega

Streamline the scaling of your single-cell projects with Evercode™ split-pool combinatorial barcoding. This innovative technique offers a straightforward, instrument-free solution to single-cell sequencing, revolutionizing the process with its simplicity and versatility.

With Evercode™, you can effortlessly adopt a highly sensitive approach to single-cell sequencing, regardless of your lab’s resources or expertise level. The simplicity of this method makes it accessible to researchers of all backgrounds, while still delivering unparalleled sensitivity, scalability, and flexibility.

Say goodbye to complex instrumentation and cumbersome protocols. Evercode™ empowers labs of any size to embark on single-cell sequencing projects with confidence, paving the way for groundbreaking discoveries in cellular biology and beyond.

Experience a revolution in gene detection sensitivity with Evercode WT v2.

In a rigorous comparative study conducted on mouse brain samples, Evercode WT v2 demonstrated exceptional superiority over the Chromium Next GEM Single Cell 3’ Kit v3.1. Impressively, Evercode WT v2 detected an average of 84% more genes at a common read depth target of 20,000 reads per cell.

With Evercode WT v2 at your disposal, you gain the power to uncover a broader spectrum of genes and dive deeper into gene expression profiles. This invaluable wealth of information will enrich your research endeavors, providing nuanced insights into cellular dynamics and molecular processes. Elevate your single-cell transcriptomics studies to unprecedented heights with the unmatched sensitivity and precision offered by Evercode WT v2.

Evercode™ delivers more results per experiment

Evercode™ sets a new standard by delivering more results per experiment compared to leading droplet-based technologies. This means that with Evercode™, you can achieve your research goals with significantly fewer experiments, saving time, resources, and effort.

By maximizing the efficiency of each experiment, Evercode™ allows you to generate more data and insights in less time. Whether you’re exploring gene expression profiles, investigating cellular heterogeneity, or uncovering novel biological pathways, Evercode™ streamlines the process and accelerates your research progress.

With Evercode™, you can optimize your experimental workflow and achieve more impactful results with fewer resources expended. Experience the difference that Evercode™ can make in advancing your scientific discoveries and pushing the boundaries of single-cell analysis.

Fix now, run later

Our innovative technology allows you to fix cells or nuclei as soon as they’re available, effectively preserving the biological integrity until you’re ready to proceed with your experiments. With just a 30-minute fixation process, your samples remain stable for up to 6 months.

This approach offers unparalleled flexibility in your research workflow. Whether you’re conducting a timecourse study, collaborating across multiple laboratories, or need to segregate sample preparation from core lab space, fixation provides the freedom to work according to your schedule and preferences.

With Evercode™, you can confidently lock in the biology of your samples, knowing that they’ll be ready for analysis whenever you are. Say goodbye to time constraints and logistical challenges – embrace the flexibility of fixation with Evercode™.

Ready to Order?

Our team can help you in placing the order. Click below to get a quote and fast ordering.

Let’s Find You an Application That Helps Your Research

Get a call from your local Decode Science representative to help you find the best fit genomics products for you.

Or give us a call at:

1300 581 991

Whole Transcriptome Profiling — Not a Probe Panel

Reliable Gene Expression Data From Degraded RNA

Cohort-Scale Multiplexing Built Into the Workflow

Instrument-Free and Automation-Compatible Across Four Kit Sizes

Ebru Boslem, PhD

Because Your Most Valuable Samples Are Already in the Biobank

Retrospective cohort studies

Tumour microenvironment and cell state analysis

Multi-site and multi-cohort studies

Integration with fresh tissue data

Download Product Sheet Instantly!

Evercode™ Whole Transcriptome v4

BCR Sequencing of 1 Million Samples

Comparison of Evercode™ WT v3 and Chromium™ GEM-X Single Cell 3’ Kit v4

FAQs

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Experimental Design:

Results:

Dr. Ebru Boslem

Detect More Biology from Every Cell — Without Adding Instruments to Your Bench

Higher Sensitivity, Greater Biological Resolution

Instrument-Free Scalability

Bead-Based Workflow for Higher Cell Recovery

Built for Automation and Reproducibility

Ebru Boslem, PhD

1. For Immunology & Oncology Researchers

2. For Oncology & Tumour Biology Labs

3. For Cardiomyocyte and Complex Tissues Studies

4. For Core Facilities & Service Labs

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Evercode™ Whole Transcriptome Range

Immune Profiling

Additional Capabilities

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Dr. Ebru Boslem

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Dr. Ebru Boslem

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Dr. Ebru Boslem

Evercode TCR Mega

1M CELLS

96 SAMPLES

EXPONENTIALLY SCALABLE

NO INSTRUMENT REQUIRED

UNMATCHED DATA QUALITY

WORKS WITH FIXED CELLS AND NUCLEI

Let’s Find You an Application That Helps Your Research

Evercode TCR

10K CELLS

12 SAMPLES

EXPONENTIALLY SCALABLE

NO INSTRUMENT REQUIRED

UNMATCHED DATA QUALITY

WORKS WITH FIXED CELLS AND NUCLEI

Let’s Find You an Application That Helps Your Research

Evercode TCR Mini

100K CELLS

48 SAMPLES

EXPONENTIALLY SCALABLE

NO INSTRUMENT REQUIRED

UNMATCHED DATA QUALITY

WORKS WITH FIXED CELLS AND NUCLEI

Let’s Find You an Application That Helps Your Research

Evercode WT Mega

1M CELLS

96 SAMPLES

EXPONENTIALLY SCALABLE

NO INSTRUMENT REQUIRED

UNMATCHED DATA QUALITY

WORKS WITH FIXED CELLS AND NUCLEI

Let’s Find You an Application That Helps Your Research

Instant Download

Instant Download

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Special October Offer

FREE UMBRELLA

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EXPONENTIALLY
SCALABLE

NO INSTRUMENT
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EXPONENTIALLY
SCALABLE

NO INSTRUMENT
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EXPONENTIALLY
SCALABLE

NO INSTRUMENT
REQUIRED

EXPONENTIALLY
SCALABLE

NO INSTRUMENT
REQUIRED