Partners Archives - Decode Science

TrueAmp Polymerase Mix

May 25, 2026/in NGS, Twist/by Harshita Sharma

Twist TrueAmp Polymerase Mix

The Twist TrueAmp Polymerase Mix is an engineered amplification reagent purpose-built for NGS library workflows — not adapted from qPCR or cloning applications, but designed from the ground up for the demands of complex library amplification. At its core is a proofreading, high-processivity DNA polymerase formulated to deliver uniform coverage across the full GC spectrum, from AT-rich to GC-rich targets, while minimising the amplification-induced errors and homopolymer slippage that compromise variant calling accuracy. Whether you’re amplifying pre-capture or post-capture libraries, TrueAmp Polymerase Mix keeps bias low and your data trustworthy.

Delivered as a single-tube 2× mastermix with aptamer-enabled hot start, TrueAmp Polymerase Mix is stable at room temperature and ready for automated liquid handling — reducing setup complexity, minimising handling errors, and supporting same-day or overnight hybridisation workflows alongside Twist target enrichment kits. It is validated end-to-end with Twist library preparation and enrichment reagents, making it a natural fit for laboratories already running Twist workflows who want consistent amplification performance without introducing an unvalidated variable. As your authorised Australian distributor, Decode Science can advise on integration into your current library prep and enrichment protocols.

Data

It Matters

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But... Why Choose TrueAmp Polymerase Mix?

Sustaining coverage uniformly across Full GC Spectrum (5 – 95% )

High Sensitivity & Consistent Yields From Low-Input Libraries

Reduced Homopolymer Slippage and Deamination Errors

Automation-Ready Hot Start in a Simplified Single-Tube Format

Product Data: Performance Across the Metrics That Define Library Amplification Quality

Low-Bias Amplification Across GC Extremes

TrueAmp Polymerase Mix sustains normalised coverage across the full GC content range — including AT-rich organisms such as C. difficile and GC-rich organisms such as B. pertussis — where other polymerases show progressive coverage dropout. This performance is maintained as PCR cycle number increases, making it reliable for both low-cycle pre-capture amplification and higher-cycle post-capture workflows.

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Figure 1. GC-normalized coverage; AT-rich C. difficile and GC-rich B. pertussis.

Efficient Yields at Low Input in Fewer Cycles

Improved amplification efficiency means TrueAmp reaches yield targets in fewer PCR cycles than standard NGS polymerases. Fewer cycles directly reduces the accumulation of duplicate reads and cycle-induced artefacts — preserving library complexity and sequencing efficiency, particularly from low-yield post-capture libraries where every cycle counts.

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Figure 2. Serial dilutions from 1 ng to 100 fg, Qubit and TapeStation QC.

Reduced C→T Misincorporation and Homopolymer Slippage

Engineered proofreading activity measurably reduces C→T misincorporations introduced by cytosine deamination — one of the most common sources of false positive variant calls in NGS data, and particularly prevalent in FFPE-derived libraries. Improved homopolymer fidelity further reduces a known source of indel artefacts in repeat-containing regions, supporting cleaner variant calls across the full spectrum of library types.

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Figure 3. Substitution rates after >7M base incorporations; homopolymer readout using Twist clonal plasmids.

Bead-Tolerant PCR for Reliable Post-Purification Amplification

Magnetic beads used for library purification and size selection can carry over into PCR reactions and inhibit amplification, reducing yields and introducing variability. TrueAmp Polymerase Mix is formulated to maintain robust performance in the presence of magnetic bead carryover — removing a common source of batch-to-batch inconsistency in post-purification amplification steps.

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Figure 4. Tolerance to Paramagnetic Beads During PCR. PCR reactions were spiked with 6.25 μl, 12.5 μl, 25 μl, and 50 μl of MyOne T1 Beads, M270 Beads (Invitrogen), and Twist DNA Purification Beads. Reactions were purified post bead-removal and quantified on Qubit dsDNA Broad Range Assay.

Why It Matters to You?

Because Amplification Bias Is One of the Last Variables Most Labs Think to Interrogate

When sequencing results are inconsistent or coverage is uneven, the first instinct is usually to look at sample quality, capture chemistry, or bioinformatics. Amplification polymerase is rarely the first variable examined — but for libraries with challenging GC content or low input, it is often where the problem originates.

TrueAmp Polymerase Mix is most relevant in these contexts:

Target enrichment and exome sequencing —

GC-extreme regions are routinely underrepresented in enriched libraries. TrueAmp’s uniform coverage across 5–95% GC content ensures those targets are captured and sequenced with the same confidence as GC-neutral regions.

Post-capture PCR from low-yield libraries —

After hybridisation capture, the library is often at its most precious and most limited in quantity. An amplification reagent that achieves yield targets in fewer cycles with less bias preserves the complexity and integrity of that material.

Somatic variant detection and low VAF calling —

Reduced C→T misincorporation and homopolymer slippage directly improves the signal-to-noise ratio for low-frequency variant detection — critical for tumour heterogeneity studies, liquid biopsy, and minimal residual disease monitoring.

FFPE-derived libraries —

Deamination damage in FFPE DNA generates artefactual C→T changes that a standard polymerase will faithfully amplify. TrueAmp’s engineered proofreading reduces this signal, preserving the accuracy of variant calls from archival material.

Running Twist library prep or enrichment workflows and want to know if TrueAmp Polymerase Mix fits?

Our team can assess compatibility with your current protocol and advise on integration.

Related Products

Twist PCR-Free WGS Library Preparation Kit

Bias-free whole genome libraries from high-quality input DNA, no amplification required

Twist Custom NGS Panels

Design and order target enrichment panels tailored to your gene list or genomic region of interest

Twist Exome 2.0

Comprehensive exome capture panel with proven uniformity across canonical and difficult targets

Resources

Download Twist TrueAmp Polymerase Mix Product Sheet

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FAQs

What is TrueAmp Polymerase Mix and how is it different from standard PCR polymerases?

TrueAmp Polymerase Mix is an engineered proofreading, high-processivity DNA polymerase formulated specifically for NGS library amplification. Unlike standard PCR enzymes optimised for single-amplicon applications, TrueAmp is designed to amplify complex NGS libraries with uniform GC coverage, high fidelity, and consistent yields — minimising the bias and artefacts that standard enzymes introduce when applied to library amplification.

What is the minimum input TrueAmp Polymerase Mix can handle?

TrueAmp Polymerase Mix generates consistent, high-yield libraries down to 100 pg input or below. Contact Decode Science for guidance on cycle number optimisation at very low inputs.

Is TrueAmp Polymerase Mix compatible with my existing Twist library prep protocol?

TrueAmp Polymerase Mix is validated end-to-end with Twist library preparation and enrichment reagents. It is compatible with pre-capture and post-capture amplification steps and with same-day and overnight hybridisation workflows alongside Twist target enrichment kits. Contact Decode Science to confirm compatibility with your specific protocol configuration.

Can TrueAmp Polymerase Mix be used with non-Twist library prep kits?

TrueAmp Polymerase Mix has been validated with Twist library prep and enrichment reagents. For use with other library prep systems, contact Decode Science to discuss compatibility and any protocol adjustments that may be required.

Does the hot start format affect performance?

No. The aptamer-enabled hot start provides room temperature stability for setup without compromising PCR performance. It eliminates the need for ice or cold block handling during reaction assembly, simplifying manual workflows and supporting automated liquid handling integration.

Is TrueAmp Polymerase Mix suitable for FFPE-derived libraries?

Yes. TrueAmp’s engineered proofreading activity reduces C→T misincorporations caused by cytosine deamination — a common artefact in FFPE-derived DNA — making it particularly well-suited to post-capture amplification from FFPE libraries where deamination damage is elevated.

What sequencing platforms are TrueAmp Polymerase Mix libraries compatible with?

TrueAmp Polymerase Mix produces libraries compatible with Illumina sequencing platforms. Contact Decode Science for platform-specific guidance.

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.

Watch How Evercode Technology Works

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.

Twist PCR-Free WGS Library Preparation Kit

May 7, 2026/in NGS, Promotions, Twist/by Harshita Sharma

Twist TrueAmp Library Preparation Kit

May 7, 2026/in NGS, Promotions, Twist/by Harshita Sharma

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.

MosaiX Library Prep Kit

March 31, 2026/in Partners, SeqWell/by Harshita Sharma

Evercode™ Whole Transcriptome v4

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

MGISTP-B1000

February 20, 2026/in Automated Systems, MGI, Partners, Sample Transfer/by Harshita Sharma

MGI STP-B1000

The STP-B1000 is designed for laboratories that require accurate, repeatable separation and transfer of blood components without compromising traceability or efficiency. It precisely recognizes plasma, buffy coat, and red blood cells within centrifuged blood collection tubes and transfers each component with high positional accuracy, reducing manual handling and the risk of cross-contamination. Integrated barcode tracking ensures every transfer remains fully traceable, preventing sample mismatches and data integrity issues in high-throughput workflows.

Operation is intentionally streamlined… users define only the component type, transfer volume, and number of transfers before initiating the process with a single click. This simplicity minimizes training requirements while delivering consistent, standardized blood processing suitable for clinical, biobanking, and research applications.

Accurately Identify Blood Components & efficiently recover the buffy coat

As the official distributor of MGI in Australia and New Zealand, Decode Science is providing local access to STP-B1000 solutions with region-based technical and application support. Simply talk to me and we can discuss your research needs.

Product Components & Software Functions

Integrated Scanning, Identification, Transferring

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Product Specifications

Indicators	Parameter
Pipettor	Pipette Range 1 μL–1000 μL
	Pipette Accuracy 1 μL: CV≤8%, accuracy: ±10% 50 μL: CV≤1%, accuracy: ±2% 200 μL: CV≤1%, accuracy: ±2% 1000 μL: CV≤1%, accuracy: ±1%
	Independent 8-channel Pipettor
Detection Mode	pLLD, cLLD
Throughput	1–192 samples/run
Size	1420 mm (L) × 1010 mm (W) (without door handle) × 1120 mm (H)
Weight	~250 kg

MGI Portfolio

MGISTP-B1000

MGISP-7000

MGISP-3000

MGISP-100

MGISP-NE32

MGIFLP-L50

MGISP-960

MGISP-NEX

MGISP-NE384

MGISP-Smart 8

BiOptic Customisable Fragment Analysis

January 15, 2026/in BiOptic/by Harshita Sharma

Simoa Dry Blood Extraction Kit

January 8, 2026/in Partners, Quanterix/by Harshita Sharma

Huber, H., Montoliu-Gaya, L., Brum, W.S. et al. A minimally invasive dried blood spot biomarker test for the detection of Alzheimer’s disease pathology. Nat Med (2026). https://doi.org/10.1038/s41591-025-04080-0

Simoa Dry Blood Extraction Kit

The Simoa Dry Blood Extraction Kit is a validated, device-agnostic solution for extracting analytes from dried plasma and dried blood spot (DPS/DBS) samples for use with Simoa® assays. It enables consistent, reproducible recovery of low-abundance biomarkers while maintaining the femtogram-level sensitivity required for clinical and translational research.

Designed to support decentralized and remote sample collection, the kit simplifies pre-analytical workflows without compromising data quality. It is well suited for longitudinal studies, multi-site trials, and settings where traditional venous sampling and cold-chain logistics are impractical.

Key Features of the Simoa Dry Blood Extraction Kit

Clinical Evidence: DROP-AD Study (Nature Medicine)

Hanna Huber
Nutrition Scientist // Ph.D // Postdoctoral researcher @DZNE Bonn & University of Gothenburg

The Simoa Dry Blood Extraction Kit workflow is supported by evidence from the DROP-AD study, published in Nature Medicine, demonstrating that capillary dried blood samples can be used to reliably quantify key Alzheimer’s disease biomarkers.

The multi-centre European study showed strong concordance between capillary dried blood and conventional venous plasma measurements for:

p-Tau217 – strong correlation across multiple sites
GFAP and NfL – reliable quantification with high plasma concordance

The approach demonstrated good diagnostic accuracy for identifying CSF-confirmed Alzheimer’s pathology and high reproducibility with self-collected samples, supporting decentralized and remote study designs.

Importantly, the study confirms the feasibility of this approach in high-risk and underrepresented populations, including individuals with Down syndrome, and eliminates the need for venipuncture, centrifugation, and cold-chain logistics.

This workflow is intended for research use only and is not designed for clinical diagnosis or clinical decision-making.

Instant Download Simoa Dry Blood Extraction Kit Tech Note

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Designed for Real-World Clinical and Research Workflows

The Simoa Dry Blood Extraction Kit is designed to support high-sensitivity biomarker analysis in settings where traditional venous sampling and cold-chain logistics are limiting.

For academic and translational neuroscience teams conducting large cohort or longitudinal studies, the kit provides a standardized method for extracting biomarkers from small-volume, remotely collected samples, reducing pre-analytical variability and improving inter-site comparability.

In pharmaceutical and biotechnology research, the workflow supports early-phase and decentralized study designs where sample volume is limited but analytical sensitivity is critical.

For public health and global research settings, the kit enables reliable laboratory-grade biomarker analysis from capillary dried blood samples, supporting studies in low-resource or geographically distributed populations.

Applications and Intended Use

The Simoa Dry Blood Extraction Kit is intended for the extraction of analytes from capillary-derived dried blood and plasma collection devices to support detection of low-abundance biomarkers using Simoa® assay kits.

For research use only.

Kit Contents

Each kit includes Quanterix extraction buffer and two precipitation plates.

As the official distributor of Quanterix in Australia and New Zealand, Decode Science is providing local access to Simoa® platforms, assays, and workflow solutions with region-based technical and application support.

But... Why Choose TrueAmp Polymerase Mix?

Sustaining coverage uniformly across Full GC Spectrum (5 – 95% )

High Sensitivity & Consistent Yields From Low-Input Libraries

Reduced Homopolymer Slippage and Deamination Errors

Automation-Ready Hot Start in a Simplified Single-Tube Format

Product Data: Performance Across the Metrics That Define Library Amplification Quality

Low-Bias Amplification Across GC Extremes

Efficient Yields at Low Input in Fewer Cycles

Reduced C→T Misincorporation and Homopolymer Slippage

Bead-Tolerant PCR for Reliable Post-Purification Amplification

Why It Matters to You?

Because Amplification Bias Is One of the Last Variables Most Labs Think to Interrogate

Target enrichment and exome sequencing —

Post-capture PCR from low-yield libraries —

Somatic variant detection and low VAF calling —

FFPE-derived libraries —

Chris Wicky

Related Products

Twist PCR-Free WGS Library Preparation Kit

Twist Custom NGS Panels

Twist Exome 2.0

Resources

Unlock with quick sign up!

FAQs

Talk to Us About TrueAmp Polymerase Mix

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

Our team is one form away.

But... Why Choose PCR-Free WGS Library Prep?

Amplification-Free Prep for Native Genome

Minimised Ligation Bias for Maximum Conversion

Consistent Insert Size Control Across a Wide Input Range

Scale to 1,536-Plex Without Sacrificing Data Quality

Product Data: Performance Where It Counts

Robust Library Yield Maintained at Low Input

Reproducible Insert Size Control From 300 ng to 37.5 ng

Tunable Fragment Lengths for Workflow Flexibility

Consistent GC Coverage Across All Input Levels

Why It Matters to You?

Because Whole Genome Sequencing Is Only as Good as What It Captures

Population and cohort genomics

Structural variant and CNV detection

Germline variant discovery

High-throughput sequencing cores

Chris Wicky

Related Products

Twist TrueAmp Library Prep Kit

Twist Custom NGS Panels

Twist Exome 2.0

Resources

Unlock with quick sign up!

FAQs

Talk to Us About PCR-Free WGS

But... Why Choose TrueAmp Library Prep?

Delivers Reliable Coverage Across the Hardest Genomic Regions

High Conversion Efficiency From Low-Input and FFPE Samples

High-Fidelity Amplification for Low VAF Variant Detection

Consistent Fragment Sizes Across Inputs for Scalable Workflows

Product Data: Performance Where It Counts

Higher Yield and Coverage From Your Most Challenging Inputs

Uniform Coverage With Fewer Zero-Coverage Targets

Consistent Performance Across GC-Extreme Regions

Reproducible Fragment Sizes Across a Wide Input Range

Tunable Insert Sizes for Application-Specific Optimisation

Why It Matters to You?

Because the Hardest Samples Carry the Most Important Questions

Oncology and somatic variant detection