Genomic Analysis


Diag2Tec proposes creating a comprehensive portrait of the tumor cells and their microenvironment using sequencing data from patients with various hematological cancers.

Diag2Tec delivers advanced transcriptomic profiling services using bulk and single-cell RNA sequencing to comprehensively characterize tumor cells and their microenvironment. Our analyses provide deep, high-resolution insights into disease biology, treatment-induced pressures, and tumor resistance mechanisms. Gene expression profiling and pathway activation analyses in sensitive and resistant cells enable the selection of optimal therapeutic combinations. The depth of our RNA sequencing datasets allows the detection of recurrent mutations and cytogenetic abnormalities frequently found in hematologic malignancies. The integration of these data with patented methodologies supports the identification of prognostic and predictive biomarkers, contributing to precision medicine strategies and data-driven decision-making.


Biomarker Discovery 
and Translational Insights

Our analyses support:

  • Identification of prognostic biomarkers associated with patient outcomes
  • Discovery of predictive biomarkers of response to therapies
  • Characterization of treatment pressure and tumor resistance mechanisms
  • Identification of gene signatures associated to drug sensitivity/resistance
  • Integration with biological and functional assay data
  • Support for the rational selection of combination therapies


Deliverables

High-quality, decision-ready data packages including comprehensive reports, as well as raw, quality-controlled, and processed datasets. Secure data transfer and access are ensured through cloud-based infrastructure (AWS).

Diag2Tec provides tailored genomic and multi-omics services designed to address specific scientific questions and study objectives. Leveraging advanced technologies such as whole exome sequencing, ChIP-seq, and miRNA profiling, combined with deep-learning algorithms, we generate high-resolution datasets to decode disease complexity and therapeutic responses. Our flexible approach enables the design of customized workflows aligned with each customer’s development strategy.


Advanced Analytical Capabilities

Our platform supports:

  • Identification of mutations using RNA Sequencing and Whole Exome Sequencing
  • Identification of epigenetic alterations using ChIP-Seq and ATAC-Seq
  • MicroRNA and Long Non-Coding RNA profiling
  • Deconvolution of immune cells


AI-Driven Multi-Omics Integration

We integrate diverse data layers using advanced computational and machine learning approaches to deliver predictive and actionable insights:

  • Integration of genomic, transcriptomic, and epigenomic data with biological assay results and clinical data
  • Identification of key molecular drivers and regulatory networks
  • Definition of novel molecular patient subgroups
  • Development and validation of predictive models and scoring systems using public and proprietary datasets

Deliverables

High-quality, decision-ready data packages including comprehensive reports, as well as raw, quality-controlled, and processed datasets. Our analyses support data-driven decision-making and precision medicine approaches in preclinical and translational research.

In line with the ex-vivo assays for Immuno-Oncology proposed by Diag2Tec, we propose a cloud-based analytic platform to analyze and visualize your immunogenomic data specifically.


Comprehensive Immunogenomic Characterization

We perform advanced analyses to characterize immune activities within the tumor microenvironment, including:

  • Tumor immunogenicity and inflammatory signatures
  • Anti-tumor immune responses and inhibitory signaling pathways
  • Immune cell infiltration through deconvolution of heterogeneous samples

Mutation and Tumor Burden Profiling

Our platform enables in-depth genomic analysis, including:

  • Identification of mutated oncogenic pathways and actionable gene alterations
  • Exploration of gene–drug interactions
  • Estimation of tumor mutational burden (TMB)

Adaptive Immune Repertoire Analysis

Using NGS-based approaches, we profile TCR and BCR repertoires to assess immune diversity and clonal dynamics:

  • Identification and quantification of T- and B-cell clones
  • Clonality assessment and diversity metrics (e.g., Shannon entropy)


Deliverables

High-quality, decision-ready data packages including comprehensive reports, as well as raw, quality-controlled, and processed datasets. Secure data transfer and access are ensured through cloud-based infrastructure (AWS).


Data Access & Cohort-Based Studies

In addition, Diag2Tec provides access to high-value datasets from proprietary models
and well-characterized patient cohorts, including rare and longitudinal samples such as CAR-T.