Semi-quantitative Proteomics Analysis

What is Semi-quantitative Proteomics?

It is a technique used to compare protein abundances between multiple samples, without providing absolute quantification value. It aims to provide relative abundance measurements, enabling researchers to gain insights into changes in protein expression levels or post translational modifications (PTMs) under different experimental conditions. There are several approaches to perform semi-quantitative proteomics analysis, including label-based and label-free methods. Notable examples of label-based techniques include SILAC, iTRAQ/TMT, among others. For label-free approaches, protein abundance can be determined by comparing spectral counts or peptide ion intensities across samples. And we have many situations need employing semi-quantitative proteomics methods. Most importantly, it is relative cost-effective and high operability. Overall, semi-quantitative proteomics analysis provides valuable information about protein expression changes across different samples or conditions. By understanding protein regulation, researchers can gain insights into important cellular processes and disease mechanisms, contributing to biomedical research and potential therapeutic development.

The application of semi-quantitative proteomics.

1) Protein content comparison across species.

Semi-quantitative Proteomics Analysis Figure 1. Experimental setup to study proteome-wide biological responses to non-ionizing EMFs using semi-quantitative mass spectrometry ^[1].

2) 2-DE /SDS-PAGE protein identification and semi-quantification by LC-MS/MS

Semi-quantitative Proteomics Analysis Figure 2. Semi-quantification of protein on the 2-DE gel.

Semi-quantitative proteomics in Creative Proteomics

With over a decade of experience in the field of proteomics, and the field of quantitative proteomics also has witnessed the establishment of various well-established techniques, including SILAC, iTRAQ/TMT, label-free, DIA and target quantification proteomics such as (SRM/MRM, PRM). We possess exceptional proficiency in executing Semi-quantitative Proteomics Analysis Service Projects. Besides, we possess the capability to handle diverse sample types and deliver precise and comprehensive identification and quantification information regarding interacting proteins and their interaction sites.

Creative Proteomics also provides the following bioinformatics services in Semi-quantitative Proteomics Analysis:

Technologies platform

Professional detection and analysis capability: Equipped with specialized proteomics and bioinformation technical team, strict quality control system, together with ultra-high resolution detection system and professional data pre-processing and analysis capability, ensure reliable and accurate data.
High specificity: Optimization of experimental design and methods.
High stability and reproducible: Obtain consistent and reproducible inter- and intra- assay results for data analysis.
High resolution and sensitivity: Triple TOF 5600, Q-Exactive, Q-Exactive HF, Orbitrap Fusion™ Tribrid™, etc.
High selectivity: We can provide a wide range of multi-technological services and efficiently handle various types of samples, while remaining cost-effective and ensuring short turnaround time for your projects.

Results Delivery

Detailed report, including experiment procedures, parameters, etc.
Graphical result, raw data, and data analysis results (e.g. identified proteins and peptides, and optional bioinformatics analysis, such as volcano plot, PCA, GO, KEGG, Protein Interaction Networks, etc.).

How to place an order

The provision of comprehensive support tailored to your specific requirements for Semi-quantitative Proteomics Analysis is our area of expertise. Please feel free to contact us via email whenever you need to discuss your specific requirements. Our customer service representatives are available 24 hours a day, from Monday to Sunday.

How to place an order

References

Kuzniar A, Laffeber C, Eppink B, et al. Semi-quantitative proteomics of mammalian cells upon short-term exposure to non-ionizing electromagnetic fields. PLoS One. 2017 Feb 24;12(2): e0170762.

Proteomics Sample Submission Guidelines

Ensure your samples are prepared and submitted correctly by downloading our comprehensive Proteomics Sample Submission Guidelines. This document provides detailed instructions and essential information to facilitate a smooth submission process. Click the link below to access the PDF and ensure your submission meets all necessary criteria.

Download

* For Research Use Only. Not for use in diagnostic procedures.

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From Our Clients

"I recently used their proteomics service for a project analyzing protein interactions in yeast models. The team was very responsive and helped clarify the methodology they employed, which made me feel confident in the results. The data quality was solid, with clear identification of several key proteins involved in our study. Their thorough analysis enabled me to pinpoint specific interactions that I hadn't considered before, which significantly improved the direction of my research. I appreciate their professionalism and support throughout the process."

Sarah Thompson, University of California, Berkeley

"Our lab collaborated with them on a project studying cancer biomarkers. The proteomics analysis provided was detailed and focused, specifically highlighting the differential expression of proteins between healthy and tumor samples. Their clear explanations of the data helped my team understand the biological implications. I also appreciated their willingness to revise the reports based on our feedback, ensuring that we had everything we needed for our publication. This collaborative spirit was invaluable."

Emily Rodriguez, Stanford University

"Our lab worked with them on a project studying the effects of diet on gut microbiota using proteomics. They used a label-free quantification method to analyze proteins in fecal samples before and after dietary intervention. The results showed significant changes in protein expression linked to microbial activity. This was pivotal for our hypothesis about diet-microbiota interactions. The clarity of their data presentation made it easy for our team to integrate these findings into our ongoing research."

Dr. Lisa Wong, University of Toronto

"My experience with Creative Proteomics during the mass spectrometry analysis was excellent. We sent in human saliva and mouse brain tissue samples, which they expertly analyzed using both LC-MS and GC-MS techniques. The results were invaluable, revealing key metabolites in the saliva and identifying biomarkers linked to brain function in the brain tissue."

Dr. Emily Carter, Senior Research Scientist

"The overall service from Creative Proteomics was outstanding. They made the entire process seamless and efficient, allowing us to focus on our research. We worked with leaf and root samples from various Arabidopsis genotypes for targeted metabolomics analysis. Their thorough profiling of primary and secondary metabolites gave us important insights into how the plants respond metabolically to environmental stress."

Dr. Laura Henderson, Plant Physiologist

"We had a pleasant collaboration with Creative Proteomics on mass spectrometry analysis of lipids. They conducted a detailed analysis of lipid species, providing us with important insights into lipid metabolism and its relationship with metabolic syndrome disease states."

Dr. Sarah Mitchell, Research Scientist

Online Inquiry

Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to for inquiries.

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