Enhancing Vegan Cheese Production: Leveraging Transcriptomic Data for Taste and Texture Improvement

Overview

Replicating the taste and texture of traditional dairy products remains one of the most complex challenges in plant-based food innovation. Achieving these sensory characteristics requires a deep understanding of microbial and genetic mechanisms that influence fermentation, flavor development, and structural properties.

A leading EU-based food and beverage company partnered with Excelra to leverage transcriptomic data and advanced analytics to identify key genetic factors influencing vegan cheese characteristics. By applying expertise in Bioinformatics Solutions, Scientific Informatics, and Data Curation Services, Excelra transformed publicly available transcriptomic datasets into actionable insights that supported innovation in plant-based food production.

Our client

The client is a European food and beverage company focused on developing high-quality plant-based alternatives to traditional dairy products. As consumer demand for sustainable and vegan food options grows, the company sought to improve the sensory qualities of its vegan cheese products.

To achieve this goal, the organization needed deeper insights into the genetic and transcriptomic mechanisms influencing taste and texture during fungal fermentation processes.

Client’s challenge

Producing vegan cheese that closely mimics the taste and texture of traditional dairy cheese requires precise control over microbial fermentation processes.

Key challenges included:

• Identifying genes and biological pathways influencing flavor and texture development
• Analyzing complex transcriptomic datasets from relevant fungal species
• Integrating publicly available genomic and transcriptomic data sources
• Enabling researchers to explore and interpret biological datasets efficiently
• Translating biological insights into practical improvements for production processes

Without a structured analytical framework, extracting meaningful insights from large-scale transcriptomic datasets can be complex and time-consuming.

Client’s goals

The client aimed to:

• Identify genetic mechanisms affecting vegan cheese taste and texture
• Analyze transcriptomic data for key fungal species involved in production
• Enable interactive exploration of genomic datasets
• Generate actionable insights to refine fermentation and production strategies
• Support data-driven innhttps://www.excelra.com/blogs/data-transformation-scientific-research/ovation in plant-based food product development

These goals align with emerging trends in data-driven scientific research and advanced omics analytics.

Our approach

Excelra implemented a comprehensive bioinformatics and scientific informatics workflow designed to transform transcriptomic data into meaningful biological insights.

Transcriptomic dataset compilation

Excelra collected and curated publicly available transcriptomic datasets related to two fungal species essential for the vegan cheese production process.

Using Data Curation Services, the team ensured datasets were harmonized and structured for downstream analysis.

Interactive genome exploration platform

To enable efficient data interpretation, Excelra developed a user-friendly platform with an interactive genome browser.

Built using Scientific Application Development, the platform allowed researchers to:

• Visualize transcriptomic experiments
• Explore gene expression patterns
• Investigate biological pathways influencing cheese characteristics

This interface provided secure and real-time access to genomic insights.

Bioinformatics analysis

Excelra’s bioinformatics experts conducted in-depth analysis of transcriptomic data to identify genes and molecular pathways that influence taste and texture development.

This analysis leveraged:

• Differential gene expression analysis
• Functional pathway interpretation
• Comparative transcriptomic evaluation across fungal species

The approach aligned with modern bioinformatics discovery workflows.

Data integration and harmonization

All transcriptomic datasets were integrated into a unified analytical framework using Excelra’s data harmonization methodologies.

This ensured:

• Consistent metadata standards
• High-quality datasets
• Reliable downstream analysis for production optimization.

Our solution & results

Excelra delivered a comprehensive transcriptomic analysis platform enabling the client to explore genetic mechanisms influencing vegan cheese production.

Key outcomes

• Structured transcriptomic datasets for two key fungal species
• Interactive genome browser enabling real-time data exploration
• Identification of genes and pathways influencing flavor and texture
• Integrated datasets supporting advanced biological analysis
• Actionable insights enabling production process optimization

Key benefits

• Enhanced biological understanding
  The analysis provided deeper insights into genetic and transcriptomic factors influencing vegan cheese characteristics.
• Data-Driven decision making
  Researchers were able to refine production strategies using actionable transcriptomic insights.
• Improved product development
  The findings supported improvements in vegan cheese formulations, helping enhance taste, texture, and product consistency.