Unbiased Proteomics Service

Unbiased proteomics is a comprehensive analytical approach that does not require the preselection of target proteins, enabling the identification and quantification of all proteins within a sample in a thorough and objective manner. This technology primarily relies on high-resolution mass spectrometers and liquid chromatography systems, performing high-throughput detection of peptides from complex biological samples and matching them to protein databases to identify thousands of proteins and their modification states. Unlike traditional methods that focus on a single or limited number of proteins, unbiased proteomics takes a global perspective to uncover the composition, expression levels, and dynamic changes of proteins, providing researchers with comprehensive molecular-level insights.

 

Unbiased proteomics addresses the challenge of exploring unknown proteins and biological processes in complex systems. In disease research, it enables the discovery of novel biomarkers, reveals potential pathogenic mechanisms, and identifies critical drug targets. In basic research, it facilitates the comprehensive analysis of signaling pathways, protein interaction networks, and dynamic molecular mechanisms. This technology overcomes the limitations of traditional studies that often overlook key unknown proteins due to their focus on known molecules, providing an efficient and precise tool for disease diagnosis, drug development, and new biological discoveries.

 

Service at MtoZ Biolabs

MtoZ Biolabs, an integrated Chromatography and Mass Spectrometry (MS) Services Provider, provides advanced proteomics, metabolomics, and biopharmaceutical analysis services to researchers in biochemistry, biotechnology, and biopharmaceutical fields. Our ultimate aim is to provide more rapid, high-throughput, and cost-effective analysis, with exceptional data quality and minimal sample consumption. MtoZ Biolabs' unbiased proteomics service relies on the company's extensive experience in proteomics analysis and a highly skilled research team. Our team is composed of senior scientists and technical experts with a strong background in mass spectrometry and a wide range of project experience. By utilizing advanced instruments and customized analysis methods, we provide high-precision proteomics data, ensuring that each project is completed under strict quality control standards, delivering reliable experimental results to our clients.

 

Service Advantages

1. High Sensitivity and High-Throughput Data Acquisition: MtoZ Biolabs’ unbiased proteomics service leverages advanced LC-MS/MS technology and optimized sample preparation methods. Without the need for pre-selecting target proteins, this approach allows the simultaneous identification and quantitative analysis of hundreds to thousands of proteins in a single sample. As a result, researchers gain a comprehensive, high-sensitivity, and high-throughput overview of the proteome.

 

2. Rigorous Data Processing and Bioinformatics Analysis: By integrating various quantitative strategies (including both label-based and label-free quantification) and implementing strict quality control measures, MtoZ Biolabs’ expert team can perform in-depth bioinformatics analyses on the generated data. These analyses include protein function annotation, pathway analysis, and protein interaction network construction, ensuring both the accuracy and biological relevance of the research results.

 

3. Broad Applicability and Flexible, Customized Solutions: Unbiased proteomics services are not limited to any specific protein or field, making them suitable for both basic research (e.g., mechanistic studies and pathological process elucidation) and applied research (e.g., early disease biomarker discovery and drug mechanism investigations). MtoZ Biolabs can provide customized experimental designs and data analysis strategies tailored to client needs, thereby meeting the research objectives of various industries and disciplines.

 

Case Study

1. An Unbiased Proteomics Method to Assess the Maturation of Human Pluripotent Stem Cell-Derived Cardiomyocytes

Human pluripotent stem cell-derived cardiomyocytes (hPSC-CM) exhibit characteristics of fetal cardiomyocytes, which limits their application. A study has established an unbiased proteomics approach that can accurately and specifically assess the maturity of hPSC-CM and identify new maturity markers. This integrated proteomics strategy provides a solid foundation for using hPSC-CM to uncover molecular pathways related to heart development and disease.

 



Cai, W. et al. Circ Res. 2019.

Figure 1. An Unbiased Proteomics Method for the Quantification of Sarcomeric Protein Isoforms from hPSC-CMs

 

2. Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer’s disease brain proteomic signature

Researchers primarily investigated the proteomic characteristics of the brains of Alzheimer’s disease (AD) patients, and by combining unbiased proteomics screening with multivariate regularized regression analysis, identifies specific protein biomarkers associated with AD.

 



Roberts, JA. et al. NPJ Aging. 2023.

Figure 2. Evaluation of Protein Signature in MFG by Unbiased Proteomics

 

Applications

1. Disease Biomarker Screening and Early Diagnosis  

2. Disease Mechanism Elucidation and Pathological Progression Research  

3. New Drug Development and Drug Target Discovery

 

FAQ

Q1: What technologies and analytical workflows does unbiased proteomics utilize to achieve high-throughput identification and quantification of thousands of proteins from complex biological samples without preselecting target proteins?

Answer: Unbiased proteomics combines liquid chromatography-mass spectrometry (LC-MS/MS) technology with bioinformatics analysis to achieve high-throughput identification and quantification of thousands of proteins from complex biological samples. First, proteins are processed through extraction, reduction, alkylation, and enzymatic digestion into peptides suitable for analysis. Next, peptides are separated by high-performance liquid chromatography and analyzed using high-resolution mass spectrometers (such as Orbitrap or Q-TOF) to detect precursor and fragment ions for protein identification. Mass spectrometry data are matched to protein databases using search engines, and protein abundance differences between samples are quantified through label-free or labeled quantification strategies. This technology eliminates the need to predefine target proteins, providing comprehensive and objective data that support disease mechanism elucidation, biomarker discovery, and drug target identification.

 

Deliverables

1. Comprehensive Experimental Details

2. Materials, Instruments, and Methods

3. Relevant Liquid Chromatography and Mass Spectrometry Parameters

4. The Detailed Information of Proteomics

5. Mass Spectrometry Image

6. Raw Data