Revolutionising Gene Expression Diagnostics: Introducing DIRECT LS-TA
$100 Single Cell-type RNA Diagnostics

Our company stands at the forefront of innovation in gene expression diagnostics, transforming how we understand host responses and disease. Our debut product, DIRECT LS-TA (Direct Leukocyte Single cell-type Transcript Abundance), embodies our innovative approach to analysing complex cell-mixture biological samples without laborious cell sorting.

Request a Demonstration
Explore More About DIRECT LS-TA
100 Single Cell-type RNA Diagnostics

Learn more about this brand new method to obtain single cell-type (monocyte) gene expression results in peripheral blood without cell sorting

Explore the key disadvantages of our current methods to obtain single cell-type gene expression results

Learn how our brand new method functions to obtain single cell-type (monocyte) gene expression results in PB without cell sorting

Read about the successes of the DIRECT LS-TA method

Read about what advantages using the DIRECT LS-TA method can bring

Explore how emerging new technology may change how we diagnose diseases

See how our method differs from currently used methods

Learn more about this method by contacting our company

Cytomics LTD.

View the kit brochure of DIRECT LS-TA

Access scientific publications and research studies related to DIRECT LS-TA.

View more about Prof. Tang

What is DIRECT LS-TA?

DIRECT LS-TA is a novel ratio-based biomarker (RBB) method that allows for the direct quantification of single cell-type specific gene expression from peripheral blood samples, without requiring laborious and tedious prior cell sorting.

Unlike conventional bulk RNA quantification, which provides summative results confounded by changes in both gene expression within cell types and their proportional cell counts, DIRECT LS-TA delivers unconfounded results that represent the average gene expression of a single cell type.

This clarity in interpretation is a significant advantage over traditional protein markers like CRP and PCT, which only convey an overall systemic host response and lack cell-type specific information.

The Challenge: Why Current Methods Fall Short
Laborious Cell Sorting

Obtaining gene expression from a specific leukocyte subpopulation traditionally requires tedious and impractical prior cell sorting to isolate the cells, which is not feasible for routine hospital laboratory use.

High Cost and Time of Advanced Sequencing

While single-cell RNA sequencing (scRNA-seq) can provide single-cell level gene expression, it is too expensive and time-consuming for routine clinical use, especially for common investigations like febrile illness.

Confounded Bulk RNA Results

Analysing gene expression in whole peripheral blood yields summative results confounded by variations in both gene expression within cell types and changes in the proportional cell counts.

Non-Specific Traditional Markers

Markers like C-reactive protein (CRP) and procalcitonin (PCT) provide only an overall systemic host response, lacking the crucial cell-type specific information needed for precise diagnosis.

Our Innovative Solution: How DIRECT LS-TA Works
Identifying monocyte-informative genes by in silico cell sorting

We identify genes whose transcripts in peripheral blood are predominantly produced by monocytes, contributing more than 50% of the mRNA transcripts of that gene in the cell-mixture sample. We've identified over 50 monocyte-informative genes, including key immune response genes.

Selecting Reference Genes

From these informative genes, we've identified two novel and ideal monocyte informative reference genes: PSAP and CTSS. These genes exhibit low biological variation and high specificity, making them effective denominators in our ratio-based biomarker.

Forming the Ratio-Based Biomarker

The DIRECT LS-TA RBB is calculated as the ratio of the transcript abundance of a monocyte informative target gene to a monocyte informative reference gene directly from the cell-mixture sample.

Standardisation for Clinical Use

Results are standardised using Multiples of Median (MoM) to enable easy comparison of fold changes across different datasets and reflect gene activation relative to controls.

Proven Performance: Validation and Results
Excellent Correlation

DIRECT LS-TA results have shown excellent correlation with gene expression obtained from gold-standard isolated monocytes, with R² values ranging from 0.55 to 0.97 for shortlisted genes. This demonstrates its reliability and accuracy in reflecting cell-type specific gene expression directly from peripheral blood.

Bacterial Infection Detection

The VNN1 ratio-based biomarker showed consistent upregulation across five datasets (median 2.7-fold, p<10⁻⁸) in bacterial infection patients compared to controls.

It exhibited good diagnostic performance, with Area Under the Curve (AUC) values ranging from 0.84 to 0.99 in Receiver Operating Characteristic (ROC) analysis for differentiating bacterial infection from controls.

Key Advantages for Clinical Use
Reliability and Accuracy

Provides a reliable way to quantify monocyte-specific gene expression that strongly correlates with gold-standard methods, ensuring precise diagnostics.

Direct Quantification

Eliminates the need for tedious and labour-intensive cell sorting procedures, streamlining the diagnostic process for busy clinical laboratories.

Cost-Effectiveness

More affordable than single-cell RNA sequencing, making it practical for routine clinical use in hospitals and diagnostic centres of all sizes.

Clinical Feasibility

Can be readily implemented in clinical settings using widely available qPCR or dPCR machines, requiring minimal additional investment in equipment or training.

The Future of Diagnostics: AI, Life Science Data & Our Innovative Approach
AI-Driven Approaches

In the age of AI, advanced bioinformatic approaches are emerging that use AI-assisted and Bayesian statistical methods to infer single cell-type gene expression from bulk RNA sequencing data. However, these methods often require whole genome expression profiling, which is labour-intensive and expensive.

The DIRECT LS-TA Advantage

In contrast, our innovative DIRECT LS-TA method is designed for practical, routine clinical use, focusing on quantifying a handful of targeted genes. It can be readily implemented using widely available qPCR or dPCR machines, making it a cost-effective and clinically feasible solution.

DIRECT LS-TA represents a significant step forward in diagnostics, paving the way for a new generation of in vitro diagnostics (IVDs) that convey precise single cell-type gene expression information from peripheral blood samples.

Comparison


Learn More About DIRECT LS-TA
$100 Single Cell-type RNA Diagnostics

Discover how DIRECT LS-TA can transform your understanding of host responses and enhance diagnostic capabilities in your clinical setting. Our innovative technology offers unparalleled insights into cell-specific gene expression without the complexity of traditional methods.

Whether you're looking to improve bacterial infection diagnosis, enhance antibiotic stewardship, or advance your research capabilities, DIRECT LS-TA provides the precision and reliability you need.

Our Kit Brochure
Scientific Publications & References

Our innovative DIRECT LS-TA technology is backed by extensive peer-reviewed research. The following publications provide detailed information about our methods, validation studies, and applications in clinical settings:

Tang et al. (in-press) Translation of scRNA-Seq to a clinical blood test for infection diagnostics. Expert Review of Molecular Diagnostics. "Translation of scRNA-Seq to a clinical blood test for infection diagnostics. Expert Review of Molecular Diagnostics", (in-press). https://doi.org/10.1080/14737159.2026.2647154.

Tang, Nelson L S, Tsz-Ki Kwan, Dan Huang, Suk-Ling Ma, and Kwong-Sak Leung. 2025. "Direct Single Cell-Type Gene Expression Analysis in Peripheral Blood: Novel Ratio-Based Gene Expression Biomarkers Using 2 Novel Monocyte Reference Genes (PSAP and CTSS) for Detection of Bacterial Infection." Human Molecular Genetics, June, ddaf103. https://doi.org/10.1093/hmg/ddaf103.

Tang, Nelson LS, Tsz-Ki Kwan, Dan Huang, JH Huang, XY Wang, Grace CY Lui, Suk-Ling Ma, and Kwong-Sak Leung. 2025. "Monocyte Single Cell-Type Gene Expression Measured in Peripheral Blood by DIRECT LS-TA Method: The Ratio-Based Biomarkers of (IFI27/PSAP) Showed Superior Performance than Interferon Score in Triage Patients with Viral Infection," May. https://doi.org/10.1101/2025.05.08.652590.

Huang, Dan, Tsz-Ki Kwan, Suk-Ling Ma, and Nelson LS Tang. 2025. "A Map of Non-Translated RNA (Nt-RNA) Junctions in Cancer Genomes: A Database Resource of Unproductive Splicing," June. https://doi.org/10.1101/2025.06.15.659434.

Li L, Tang NLS, Chan SL, Johnson DR, Mo F, Koh J, Kwan TK, Hui EP, Chan LL, Lee KF, Yu SCH, Yeo W. "Clinical Implications of Upregulated RSAD2 Gene Expression in Hepatocellular Carcinoma". Diseases. 2025 Dec 8;13(12):395. doi: 10.3390/diseases13120395.

Li L, Tang NLS, Mo F, Koh J, Hui EP, Ma B, Chan SL, Lee KF, Yu SCH, Yeo W. "ISG15 mRNA transcript level in circulating leucocytes prognostic of overall survival in hepatocellular carcinoma patients and correlated with quality of life disturbances involved in anorexia-cachexia". Front Oncol. 2025 Aug 27;15:1589053. doi: 10.3389/fonc.2025.1589053.

Huang, Jinghan, Phillip Sheung Chi Yam, KS Leung, Minghua Deng, and Nelson LS Tang. 2025. "Compositional Data Modeling of High-Dimensional Single Cell RNA-Seq (CoDA-Hd): Its Advantages over Commonly Used Normalization Approaches," March. https://doi.org/10.1101/2025.03.24.644852.

Huang, Jinghan, Anson C. M. Chow, Nelson L. S. Tang, and Sheung Chi Phillip Yam. 2025. "An In-Depth Benchmark Framework for Evaluating Single Cell RNA-Seq Dropout Imputation Methods and the Development of an Improved Algorithm afMF." Clinical and Translational Medicine 15 (4): e70283. https://doi.org/10.1002/ctm2.70283.

Ma, Suk-Ling, Junyi Wu, Liuying Zhu, Ruth Suk-Mei Chan, Xingyan Wang, Dan Huang, Nelson Leung-Sang Tang, and Jean Woo. 2021. "Peripheral Blood T Cell Gene Expression Responses to Exercise and HMB in Sarcopenia." Nutrients 13 (7). https://doi.org/10.3390/nu13072313.

Huang, Dan, Alex Y. N. Liu, Kwong-Sak Leung, and Nelson L. S. Tang. 2021. "Direct Measurement of B Lymphocyte Gene Expression Biomarkers in Peripheral Blood Transcriptomics Enables Early Prediction of Vaccine Seroconversion." Genes 12 (7). https://doi.org/10.3390/genes12070971.

These publications demonstrate our commitment to advancing the field of molecular diagnostics through rigorous scientific research and innovation.