Proteomics Services: Extract Biological Insight from Mass Spectrometry Data
Tailored proteomics data analysis for microbial systems, host–microbe studies, and multi-omics research.
What is Proteomics and Why Does It Matter?
Proteomics is the large-scale study of proteins, the functional molecules that drive biological processes. Unlike genomics, which reflects genetic potential, or transcriptomics, which measures RNA expression, proteomics provides a closer view of the biochemical state of a cell, tissue, or microbial community.
If you want to learn more about proteomics, you can read the dedicated post in our blog!
By analyzing protein abundance, modifications, and interactions, our proteomics services provide insights into:
Functional state and regulation of cells and microbes
Responses to environmental conditions, stress, or treatment
Post-transcriptional changes not captured by RNA-based approaches
Our services include both label-based and label-free quantitative proteomics workflows using mass spectrometry data, helping you move from raw files to biological interpretation.
Tailoredomics provides downstream proteomics bioinformatics analysis, not wet-lab sample preparation, protein extraction or mass spectrometry acquisition. You can work with any core facility, CRO or instrument platform and share your processed files (protein-abundance tables, MaxQuant output, Proteome Discoverer results, or similar) for a tailored analysis plan.
What Can You Achieve with our Proteomics Services?
With our proteomics workflows, you can move beyond basic protein identification to generate deep, actionable biological insights. Whether you’re studying microbial systems, host–microbe interactions, or environmental responses, our services are designed to empower your research with precision and clarity.
Key outcomes include:
Quantify Protein Abundance
Detect and measure protein expression levels across samples with high accuracy using label-free quantification.
Identify Differentially Expressed Proteins
Compare experimental conditions to uncover proteins significantly up- or down-regulated in your system.
Uncover Biological Pathways
Perform enrichment analyses to map proteins to KEGG, Gene Ontology (GO), or Reactome pathways and interpret functional shifts.
Validate Transcriptomic Findings
Corroborate RNA-Seq results at the protein level and explore post-transcriptional regulation.
Explore Stress Responses or Host–Pathogen Interactions
Investigate how microbes or hosts respond to environmental changes, antimicrobials, or infection.
Support Biomarker Discovery or Experimental Validation
Identify proteins with predictive value for downstream validation.
Applications of Proteomics
Explore how proteomics can enhance your research across a wide range of fields. From functional microbiology to clinical discovery, protein-level analysis offers a powerful window into biological activity.
Microbial Physiology & Function
Profile proteins involved in metabolism, stress response, or virulence to understand how microbes function in different environments.
Host–Microbe Interaction Studies
Study microbial influence on host tissues or immune pathways by integrating proteomic profiles from both organisms.
Experimental Model Analysis
Compare protein expression across experimental conditions (e.g. time points, treatments or environments) to reveal dynamic biological responses.
Environmental Microbiology
Understand microbial adaptation to environmental pressures (e.g., pollutants, temperature shifts) by examining protein-level changes.
Systems Biology Integration
Combine proteomics with transcriptomics, genomics, or metabolomics to build multi-omic models of cellular behavior.
Functional Annotation of Hypothetical Proteins
Help assign functions to previously uncharacterized proteins using homology, abundance patterns, and expression context.
A typical Proteomics Services workflow
Related Services and Resources
Proteomics data often gains deeper meaning when integrated with other omics layers. Explore our related services and practical guides:
Transcriptomics & RNA-Seq Data Analysis Services — validate protein findings at the transcript level or run combined transcriptomics–proteomics projects
Metagenomics Bioinformatics Services — pair metaproteomics insights with shotgun metagenomics for functional community profiling
Microbial Genomics Services — integrate protein data with genome-level annotations and comparative genomics
Microbiome Data Analysis Services — contextualise protein expression data within the broader microbiome community structure
Data Quality Assessment & Filtering
Initial quality control of raw mass spectrometry data, including contaminant filtering and removal of low-confidence identifications.
Peptide & Protein Identification
Spectral matching against custom or public protein databases (e.g., UniProt, RefSeq) using tools like MaxQuant or Proteome Discoverer.
Statistical Analysis & Differential Abundance
Identification of significantly up‑ or down‑regulated proteins using robust statistical models.
Functional & Pathway Enrichment Analysis
Interpret protein-level changes through Gene Ontology (GO), KEGG, or Reactome enrichment tools.
Multi‑Omics Integration
Integration with transcriptomics or genomic data where relevant to enhance biological interpretation and systems-level insights.
Reporting & Visualizations
Publication-ready figures, result tables, and a structured summary report.
Our Proteomics Services
We combine domain expertise, flexible analysis pipelines, and clear communication to make sure your proteomics data delivers maximum insight. Whether you’re a research group, institution, or biotech company, our services are tailored to your needs — not just standard pipelines.
Why Choose Our Proteomics Services?
Our proteomics services combine biological expertise, flexible analysis pipelines, and transparent reporting to help you generate interpretable, publication-ready results from mass spectrometry data.
Microbial Proteomics Expertise
We specialize in microbial systems: from lab strains to environmental isolates.
Scientific Oversight, Not Just Automation
Every analysis is guided by human expertise — not generic scripts — with pipelines adapted to your biological questions.
Custom Experimental Design Support
We help define comparisons, contrasts, and analytical priorities that fit your experimental design and biological questions.
Robust Statistical Analysis
We apply appropriate statistical tests and corrections with full documentation, making your results publication‑ready.
Multi-Omics Friendly
Need to align proteomics with transcriptomics or genomics? We support multi-omics interpretation for systems-level studies.
Direct Communication & Support
From project kickoff to final report, you’re in contact with the scientists doing the analysis — not a black box service.
Deliverables – What You’ll Receive
Every proteomics project comes with a complete set of deliverables to ensure transparency, reproducibility, and ease of interpretation. We tailor our output to your research goals and preferred format.
Raw Data (optional)
If available, we provide the original raw mass spectrometry files or processed output (e.g., MaxQuant results).
Processed & Annotated Protein Tables
Includes peptide/protein IDs, abundance values, statistical significance, and functional annotations.
Visualizations & Figures
Publication‑ready plots including heatmaps, PCA, volcano plots, and pathway enrichment charts.
Summary Report (PDF)
A clear, structured document detailing methodology, findings, and interpretation.
Metadata‑Linked Results
Output tables and plots organized based on your experimental design and metadata (e.g., conditions, timepoints).
Optional: Multi-Omics Integration Summary
If applicable, a brief integrative summary when combining proteomics with other omics layers (e.g., transcriptomics).
Protein network of a keratinolytic bacterium
Frequently Asqued Questions (F.A.Q.)
Q1. What type of proteomics data can I submit?
We accept both raw mass spectrometry data (e.g., Thermo RAW files, mzML) and preprocessed outputs (e.g., MaxQuant tables). If you’re not sure whether your data is compatible, feel free to contact us — we’ll guide you through the submission process.
Q2: Can I combine proteomics data with transcriptomics or genomics?
Yes! We offer multi-omics integration to help you connect gene expression with protein activity and functional output.
Q3: Do you perform mass spectrometry or sample preparation?
No. Tailoredomics provides downstream bioinformatics analysis only. You supply the processed proteomics data — we handle statistical analysis, pathway interpretation and visualisation.
Q4: Do you perform normalization and batch effect correction?
Yes. All data undergoes appropriate normalization and QC steps. If applicable, we also perform batch effect correction to ensure valid comparisons.
Q5: In what format will I receive the results?
You’ll receive a PDF summary report, raw and processed tables (CSV/TSV), and publication-quality figures. Let us know if you need other formats.
Q6: Can you help me interpret the results?
Absolutely. Our reports include interpretation of key findings, and we’re happy to schedule a follow-up call or answer questions via email.
Q7: How long does the analysis take?
Turnaround is typically 5–10 business days, depending on dataset size and project complexity. Let us know if you have a deadline!
Q8: Which organisms are supported?
Our proteomics workflows are primarily focused on microbial systems (bacteria, archaea, fungi), host–microbe interaction models, and common experimental or model organisms. For projects involving human or other clinical proteomics data, we work with de‑identified datasets provided under your institution’s existing ethics and data‑handling approvals, and we do not store or manage primary clinical identifiers.