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Integrated Analysis of Transcriptomics and Proteomics

Product Introduction

From a biological perspective, mRNA levels represent an intermediate state of gene expression, indicating potential protein expression. Proteins, being the direct executors of life functions, play a crucial role in measuring gene expression levels. Integrating transcriptomics and proteomics data enables the exploration of mRNA and protein expression levels. Leveraging the differences and complementarities of these two omics layers facilitates a comprehensive analysis of gene expression patterns, thereby decoding the rules and essence of life activities at various omics levels. This approach provides an overarching explanation of biological issues, thoroughly investigates the mechanisms of diseases and stress responses, and precisely studies the expression patterns and regulatory mechanisms of key genes.

Advantages of Integrated Analysis

The complementary nature of transcriptomic and proteomic data allows for a comprehensive analysis of mRNA and protein expression levels under specific conditions.
Deep analysis of these data helps identify differentially expressed genes or proteins, facilitating the discovery and validation of important regulatory pathways.
For species with inadequate or incomplete protein databases, constructing a protein search library using transcriptomic data significantly enhances the number and quality of protein identifications.

Analysis Process

Analysis results display

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