Proteomics
Studying the structure and function of biological systems with proteomics
Explore the proteome with the power of NGS
What is proteomics?
Proteomics is a discipline aimed at studying proteins in a biological system. Through genomic information, transcriptomic activity translates genes that encode the sequence of amino acids to create proteins. This entire set of proteins in an organism, also known as the proteome, provides a complex, yet vital source of information about the structure and function of cells. Advancements in this area can provide ground-breaking discoveries to better understand diseases, biomarkers, and development of therapeutics.
Just as next-generation sequencing (NGS) revolutionized genomics and transcriptomics with unprecedented speed, accuracy, and scalability, this technology is now being applied to study proteins.
How is proteomics used in multiomic profiling?
Detection and identification of proteins coupled with other omic techniques provide a comprehensive view of how cells function and their activity. Since many different proteins can come from a single gene, the full spectrum of analytical options provides a rich landscape of information for insights to identify targets and therapies for many areas of study.
A simultaneous approach to quantifying gene expression and protein
Scientists show a novel multiomic approach to simultaneously measure mRNA and protein expression in single cells, laying the groundwork to discover a never before seen subset of immune cells.
Complex dynamics revealed with genomics and proteomics in leukemia
Read how single-cell genomics can pair with protein measurements to reveal a clearer picture of leukemia tumor heterogeneity.
Human brain proteomes with genome-wide association data
Learn how the intersection of proteomics and genome-wide association data can team up to provide new insights into Alzheimer’s disease pathogenesis and therapeutic targets.
Proteomic and genomic analysis with Partek Flow
With an easy-to-use interface, Partek Flow software provides comprehensive genomic and proteomic data analysis. You can import an ADAT file for Somalogic data, a .txt file for Olink data, a .txt(.csv)/.fcs file for mass cytometry data or Akoya spatial proteomics data, and perform various exploratory data analytic processes.
Using Partek, you can:
- Filter data to samples/cells/features with desired characteristics
- Impute missing data
- Normalize data
- Perform dimension reduction
- Perform clustering analysis
Additional resources
Multiplex high-throughput proteomics with analytical specificity
Read how to leverage Olink Explore and Illumina sequencing systems to perform high-throughput protein profiling for biomarker and drug discovery studies in this tech note.
Spatial proteogenomics of FFPE tissue sections
This application note details methods to reveal the tissue architecture of astrocytoma and glioblastoma using the NanoString GeoMx Digital Spatial Profiler and Illumina NGS technologies.
Detect unique molecular signatures in Th1-polarized cells
Optimize bulk and single-cell sequencing to profile Th1 cells with Illumina NGS and BioLegend TotalSeq Antibodies.