Integrating Non-Targeted Proteomics and mRNA Sequencing for Deeper Biological Insight

Proteomics is a powerful tool for systematically investigating biological mechanisms. By profiling proteins on a large scale, it provides insight into the biological processes taking place within cells. However, unraveling the multiple layers of biological complexity and presenting the results in a clear and comprehensible way remains a challenge in many experiments.

To address this challenge, we have developed an integrated analysis workflow combining non-targeted proteomics and mRNA sequencing (mRNA-seq). Rather than focusing on a predefined set of targets, this approach provides a broad overview of gene expression and protein-level changes within a sample.

Complementary Insights from mRNA-seq and Proteomics

mRNA-seq provides insight into which genes are being expressed, while proteomics reflects the functional protein landscape and related biological processes within the samples. Beyond analyzing these datasets individually, their integration also enables researchers to investigate regulatory relationships and correlations between transcript and protein abundance.

This combination is particularly useful for species or sample types with less well-curated protein databases, as well as in cases where protein identification is limited by incomplete sequence information. Transcriptome assembly can help generate a more representative protein sequence database, thereby increasing protein identification rates and improving the accuracy of qualitative and quantitative proteomic analyses.

Strengthening Biological Interpretation Through Joint Analysis

Joint analysis also strengthens the interpretation of gene expression by providing protein-level evidence for comparison. Concordant patterns between the transcriptome and proteome can reinforce biological conclusions, while uncorrelated or negatively correlated patterns may reveal potential post-transcriptional regulatory mechanisms. Mining these relationships can help identify key genes and proteins involved in post-transcriptional regulation.

A Multidimensional View of Biological Systems

The integration of mass spectrometry and next-generation sequencing (NGS) provides a powerful, multidimensional approach to achieving a more comprehensive understanding of the biological systems represented by the samples analyzed.