Our Solutions
The integration of these multi-omics data means that thousands of proteins (proteomics), genes (genomics), RNAs (transcriptomics) and metabolites (metabolomics) can provide useful insight into pathogenesis, identification of therapeutic targets and biomarker discovery.
Pathway Discovery
T-cell Receptor Discovery
T-cell Receptor Discovery
Genomics, Transcriptomics, and Epigenomics: This combination helps understand the regulatory mechanisms governing pathway dysregulation and can reveal epigenetic drivers of disease.
T-cell Receptor Discovery
T-cell Receptor Discovery
T-cell Receptor Discovery
Genomics, Transcriptomics, Epigenomics, and Immunomics: Integrating these data types helps identify neoantigens that are both tumor-specific and immunogenic, considering factors like T-cell receptor (TCR) recognition and MHC presentation.
Neoantigen Discovery
T-cell Receptor Discovery
Neoantigen Discovery
Genomics, Transcriptomics, and Proteomics: Integrating these data types helps identify neoantigens resulting from tumor-specific mutations, their expression at the RNA and protein levels, and their potential for presentation on major histocompatibility complex (MHC) molecules.
Biomarker Discovery
Host-Pathogen Interactions
Neoantigen Discovery
Transcriptomics and Metabolomics: Integrating these data types helps identify biomarkers that reflect the functional consequences of gene expression changes on metabolic pathways, providing insights into disease progression or treatment response.
Host-Pathogen Interactions
Host-Pathogen Interactions
Host-Pathogen Interactions
Host-Pathogen Interactions
Host-Pathogen Interactions
Data integration techniques such as correlation analysis, network analysis, and pathway mapping enable the identification of microbial interactions, functional modules, and potential host-microbe relationships.
We add additional value by:
Searching the output of a bioinformatics pipeline against databases
Searching the output of a bioinformatics pipeline against databases
Searching the output of a bioinformatics pipeline against databases
Searching the output of a bioinformatics pipeline against databases
Searching the output of a bioinformatics pipeline against databases
It is an important step in biomarker discovery, as it can help to identify potential biomarkers based on their functional annotation or similarity to known biomolecules.
Building predictive models
Searching the output of a bioinformatics pipeline against databases
Long read sequencing can be a powerful tool for antigen discovery
Depending on the nature and complexity of the data and the research question of interest.
Long read sequencing can be a powerful tool for antigen discovery
Long read sequencing can be a powerful tool for antigen discovery
Long read sequencing can be a powerful tool for antigen discovery
For the detection of novel and complex immune targets that may not be detectable using other sequencing technologies.
Biomarker discovery
Biomarker discovery is the process of identifying molecular, biochemical, or other measurable indicators (i.e., biomarkers) that are associated with a particular disease, condition, or biological process. Biomarkers can be used for diagnostic, prognostic, or therapeutic purposes, and they can help to identify patients who are at risk for a particular disease or who may benefit from a particular treatment.
Neoantigen discover
Neoantigens arise from genetic alterations, such as point mutations, insertions, deletions, and chromosomal rearrangements, that occur during tumorigenesis. These alterations can lead to the production of abnormal proteins or the expression of normally silent proteins, resulting in the presentation of neoantigens on the surface of cancer cells. Neoantigens are of great interest in cancer immunotherapy because they have the potential to be recognized as foreign by the immune system, leading to an immune response against cancer cells.
T-cell Receptor (TCR) discovery
The discovery of the TCR has been instrumental in advancing our understanding of T cell biology and has had a profound impact on immunology and medical research. The TCR recognizes antigens in the form of short peptide fragments bound to major histocompatibility complex (MHC) molecules on the surface of target cells. The TCR's variable regions interact with both the peptide fragment and the MHC molecule, allowing T cells to distinguish between self and foreign antigens.
Pathway discovery
Pathway discovery refers to the process of identifying and characterizing the molecular pathways or networks involved in biological processes or diseases. It involves the analysis of large-scale biological data, such as gene expression, protein interactions, or metabolic profiles, to unravel the underlying biological mechanisms.
Host-Pathogen Interactions
Data integration techniques such as correlation analysis, network analysis, and pathway mapping enable the identification of microbial interactions, functional modules, and potential host-microbe relationships.
Host-pathogen interactions
- Microbes are placed in a strange place because some protect from diseases and some cause diseases. Directly or indirectly they play significant role in various diseases such as cancers, autoimmune disorders, bowel syndrome and many more.
Microbes in Diseases
- Imbalances in the gut microbiota, such as dysbiosis, have been linked to conditions like inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), and obesity.
- Lack of microbial exposure, such as in germ-free environments, has been associated with increased susceptibility to allergies, autoimmune disorders, and impaired immune responses.
- Certain viruses, such as human papillomavirus (HPV), hepatitis B and C viruses (HBV, HCV), and Epstein-Barr virus (EBV), are directly linked to the development of specific types of cancers.
- Chronic infections caused by bacteria, such as Helicobacter pylori, can lead to chronic inflammation, DNA damage, and an increased risk of developing cancer.
Microbes in Health
- Certain bacteria in the gut, such as Bifidobacterium and Lactobacillus, contribute to overall gut health and aid in nutrient absorption.
- Microbes, particularly during early life, play a vital role in the development and education of the immune system.
- Beneficial skin bacteria can compete with harmful pathogens, help maintain skin barrier function, and modulate inflammatory responses.
Benefits of omics
- Understanding the interactions between the microbiome, host genetics, and cancer can aid in the development of targeted and more effective therapies.
- Transcriptomics and proteomics can identify host response patterns and molecular pathways involved in infection, immune response, and disease progression.
- Targeting oncogenic viruses through antiviral therapies and vaccines can prevent virus-associated cancers.
- Novel vaccine platforms, including mRNA and viral vector-based vaccines, enabling rapid development and targeted immune responses.
Strategy is to deliver neoantigens or neoantigen-specific T-cell Receptors to enhance cancer-specific immunity to eradicate cancer cells: integrate multi-omics data and compare against normal samples to define true antigens that are specific-to cancer to avoid adverse reactions.
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