Neorabio-Home-Proteomics Services

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Proteomics Services

Neorabio provides proteomics services designed to support systematic analysis of protein expression, regulation, and functional activity in biological research. Because proteins represent the primary executors of cellular function, proteomic profiling enables direct investigation of biological mechanisms beyond inference from genomic or transcriptomic data. Advances in mass spectrometry–based technologies established proteomics as a central analytical approach for studying cellular processes and signaling networks, a transition comprehensively described by Aebersold and Mann (2016) in their analysis of proteome-scale measurement strategies. Building on this technological foundation, proteomics has become an essential layer for functional interpretation in modern life science research.

About Service

Neorabio's proteomics services are built on an integrated platform combining standardized sample preparation, high-resolution mass spectrometry, and controlled computational analysis. Experimental procedures emphasize consistency in protein extraction and digestion, as well as continuous monitoring of instrument performance to reduce technical variability. In data processing and quantification, Neorabio applies analytical logic consistent with widely adopted mass spectrometry–based proteomics workflows, including peptide identification and protein quantification. This approach enables accurate normalization and comparative analysis of protein abundance across samples while maintaining reproducibility across projects.

Our Scope

● Quantitative Proteomic Profiling
● Measurement of protein abundance across biological conditions using mass spectrometry
● Comparative Protein Expression Analysis
● Identification of proteins exhibiting statistically significant abundance changes
● Functional and Pathway Annotation
● Interpretation of proteomic alterations at the pathway and process level

Applications

● Analysis of protein expression dynamics across conditions or treatments
● Investigation of signaling pathways and molecular mechanisms at the protein level
● Functional interpretation of phenotypic changes through protein abundance data
● Integration of proteomics with genomic, transcriptomic, or metabolomic datasets
● Exploratory discovery of candidate proteins for downstream validation

Workflow

Exploratory Consultation → Proteomic Strategy & Quantification Design → Sample Preparation & Mass Spectrometry Analysis → Protein Identification, Quantification & QC → Functional & Pathway-Level Interpretation → Final Report Delivery & Data Review

References

Aebersold, R., Mann, M. Mass-spectrometric exploration of proteome structure and function. Nature, 2016, 537(7620): 347–355. DOI: 10.1038/nature19949
Cox, J., Mann, M. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nature Biotechnology, 2008, 26(12): 1367–1372. DOI: 10.1038/nbt.1511
Luber, C. A., et al. Quantitative proteomics reveals subset-specific viral recognition in dendritic cells. Immunity, 2010, 32(2): 279–289. DOI: 10.1016/j.immuni.2010.01.013
Kramer, A., Green, J., Pollard, J., Tugendreich, S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics, 2014, 30(4): 523–530. DOI: 10.1093/bioinformatics/btt703

Inquiry Center

Project execution at Neorabio emphasizes traceable data processing, quantitative reliability, and transparent reporting. To support robust interpretation of proteomic measurements, analytical outputs are generated using statistical and normalization concepts that have been systematically evaluated in large-scale quantitative proteomics studies, including comparative assessments of label-free and intensity-based quantification. In addition, pathway-level interpretation of protein abundance changes is guided by functional annotation frameworks commonly applied in systems-level proteomics analyses.

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