Thermal Shift Proteomics Services: Label-Free Target Discovery

Accelerate your target deconvolution and in situ target engagement studies with our Thermal Shift Proteomics services. By combining label-free biophysical principles with highly multiplexed mass spectrometry, we map drug-protein interactions across the entire proteome in living cells, providing actionable melting curves and high-confidence off-target profiles.

100% label-free analysis in intact cells and native tissues.
Proteome-wide mapping of primary targets and off-target toxicities.
Advanced bioinformatics delivering precise melting curves (ΔT_m).

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Thermal Shift Proteomics Services: Label-Free Target Discovery

What is Thermal Shift Proteomics? Core Capabilities Technology Portfolio Workflow Demo Results Sample Requirements Bioinformatics Case Study FAQ

What is Thermal Shift Proteomics?

Thermal Shift Proteomics—often broadly referred to as Thermal Proteome Profiling (TPP) or MS-based Proteome-wide Thermal Stability Profiling—is a revolutionary mass spectrometry-based technology designed to identify drug targets and measure target engagement across the entire cellular proteome. Unlike traditional affinity chromatography or activity-based profiling, this technique requires absolutely no chemical modifications, tags, or click-chemistry handles on your lead compound.

The service operates on a fundamental biophysical principle: when a protein binds to a ligand (such as a small molecule drug, metabolite, or nucleic acid), its structural conformation becomes thermodynamically stabilized. As a result, the drug-bound protein can withstand higher temperatures before it unfolds, aggregates, and precipitates out of solution.

In a Thermal Shift Proteomics assay, we expose biological samples to a rigorous temperature gradient. As the heat increases, unbound proteins denature and aggregate, while drug-bound proteins remain soluble for longer. We then use ultracentrifugation to remove the aggregated proteins. By analyzing the remaining soluble protein fraction using high-resolution liquid chromatography-tandem mass spectrometry (LC-MS/MS), we can track the abundance of thousands of proteins simultaneously. The result is a highly precise melting curve for every detected protein in the proteome. A significant shift in the melting temperature (ΔT_m) between the vehicle-treated control and the drug-treated sample provides direct, label-free proof of target engagement.

Core Service Capabilities & Advantages

We have engineered our mass spectrometry and chemoproteomics platforms to push the boundaries of target discovery. We do not just run samples; we partner with your discovery team to extract deeply translational biological insights.

Unprecedented In Situ Target Engagement

The greatest limitation of traditional biochemical screening is that it forces proteins out of their physiological context. Our platform excels at in situ analysis. We routinely perform thermal shift assays directly on intact, living cultured cells, primary cells (like PBMCs), and even complex ex vivo tissue biopsies. By challenging the cells with heat while the cellular architecture is still intact, we capture target engagement in a true physiological environment, accounting for intracellular drug concentrations, membrane permeability, and endogenous protein-protein interaction networks.

High-Order Multiplexing for Proteome Depth

To ensure that we capture low-abundance transcription factors and kinases alongside highly abundant structural proteins, we utilize advanced Tandem Mass Tag (TMT) multiplexing (e.g., 10-plex or 16-plex labeling). By pooling samples from an entire 10-point temperature gradient into a single, highly fractionated high-resolution Orbitrap mass spectrometry run, we eliminate run-to-run variability. This provides deep proteome coverage (often quantifying 7,000 to 10,000+ proteins per experiment) with pristine quantitative accuracy.

Complete Off-Target Toxicity Profiling

Because Thermal Shift Proteomics is entirely unbiased, it is the ultimate tool for de-risking your clinical candidates. While you may know your drug's primary kinase target, our proteome-wide scan will simultaneously reveal if your compound is inadvertently stabilizing critical off-target proteins elsewhere in the cell, allowing your medicinal chemistry team to optimize out toxicity liabilities long before animal trials begin.

Technology Portfolio: Choosing the Right Strategy

Every drug discovery project is unique. We offer a comprehensive suite of thermal stability methods tailored to your specific project phase, budget, and depth requirements.

Service Model	Primary Application	Gradient Strategy	Throughput	Depth of Affinity Data
CETSA-MS / 1D-TPP	Phenotypic hit deconvolution & broad target discovery.	Single compound concentration across a 10-point temperature gradient.	Moderate	Standard (ΔT_m calculation for hit identification).
2D-TPP	Rigorous hit validation, affinity ranking, and distinguishing specific vs. non-specific binders.	Matrix: Multiple compound concentrations across multiple temperatures.	Low (Highly resource-intensive)	Exceptional (Concentration-dependent affinity maps).
PISA (Proteome Integral Solubility Alteration)	High-throughput library screening or profiling multiple lead analogs simultaneously.	Temperatures are pooled into a single sample per concentration.	Very High	Broad screening only (Integrates area under the curve).

Our Solution Selection Strategy:

Choose CETSA-MS or 1D-TPP for your foundational, proteome-wide target deconvolution efforts when you have a phenotypic hit and need to cast a wide net to identify its primary cellular targets using a classic temperature gradient.
Choose 2D-TPP when you have narrowed down a list of putative targets and need rigorous, concentration-dependent affinity ranking to confidently separate true physiological targets from weak, non-specific background binders.
Choose PISA for high-throughput screening campaigns where you need to compare the target profiles of dozens of compound analogs rapidly, pooling temperature data to dramatically increase sample capacity while maintaining proteome-wide coverage.

Optimized Workflow & QC Checkpoints

Generating beautiful, classic sigmoidal melting curves requires absolute precision at the laboratory bench. Our End-to-End workflow integrates strict Quality Control (QC) checkpoints to prevent the thermal artifacts that plague less experienced laboratories.

Cell Culturing & Compound Incubation

For intact cell projects, we ensure cell viability exceeds 90% before treatment. Cells are incubated with your unmodified drug or a DMSO vehicle control. QC Checkpoint: DMSO concentrations are strictly capped to prevent basal cellular stress.

Precision Thermal Gradient Challenge

Aliquots of the treated and control samples are subjected to a rigorous temperature gradient (typically ranging from 37°C to 70°C) using highly calibrated thermal cyclers to ensure absolute temperature accuracy.

Gentle Lysis & Ultracentrifugation

This is the most critical step for assay success. After the heat shock, we use proprietary, detergent-free native lysis methods. Using harsh detergents here would artificially re-solubilize the heat-denatured proteins, ruining the assay. We then use ultracentrifugation to perfectly separate the precipitated aggregate from the surviving soluble fraction.

Digestion & TMT Multiplexing

The soluble proteins are denatured, digested into peptides, and labeled with isobaric TMT tags. QC Checkpoint: We mandate a >99% labeling efficiency before pooling the gradient samples into a single tube.

High-Res LC-MS/MS Acquisition

The multiplexed samples are deeply fractionated and analyzed on our top-tier Orbitrap mass spectrometers, ensuring maximum sensitivity for low-abundance proteins.

Thermal Shift Proteomics Optimized Workflow Diagram

Demo Results: From Melting Curves to Targets

We do not believe in handing clients uninterpretable raw data. We process massive mass spectrometry files into highly visual, decision-enabling reports that your pharmacology and chemistry teams can immediately utilize.

Classic Sigmoidal Melting Curves

The hallmark of a successful 1D-TPP experiment. We plot the relative abundance of the soluble protein against the temperature gradient. You will see a smooth, mathematical S-curve for the vehicle control, and a distinct curve shifted to the right for the drug-treated sample. We explicitly calculate and report the exact ΔT_m (change in melting temperature) for every protein.

Target ID Volcano Plots

To help you instantly identify your hits out of thousands of background proteins, we provide rigorous volcano plots. The X-axis displays the stabilization magnitude (the ΔT_m shift), and the Y-axis displays the statistical significance (-Log10 p-value). True primary targets and significant off-targets appear isolated in the upper-right or upper-left quadrants.

2D-TPP Affinity Heatmaps

If you select our 2D-TPP service, we deliver comprehensive heatmaps displaying temperature on one axis and drug concentration on the other. This visualizes a distinct, dose-dependent "stabilization fingerprint," proving that as drug concentration increases, the thermal protection of the target protein directly increases in parallel.

Sample Requirements & Technical Guidelines

To ensure the highest quality proteomic data and flawless melting curve generation, please adhere strictly to our sample input requirements.

Sample Type	Minimum Amount	Conditions / Buffer Restrictions	Preparation Notes
Intact Cultured Cells	1 × 10⁷ to 5 × 10⁷ cells per condition	Requires high viability (>90%). Avoid harsh enzymatic detachment (e.g., heavy Trypsin) prior to assay to prevent stress background.	Pellet cells gently, wash thoroughly with cold PBS, flash-freeze in liquid nitrogen, and ship on dry ice.
Cell Lysates	2-5 mg total protein per condition	Native lysis buffers only. Strictly NO strong detergents (e.g., SDS) as they destroy the thermal aggregation principle.	Include protease and phosphatase inhibitors. Do not boil or heat the samples at any point prior to shipping.
Tissue Samples	> 100 mg wet weight	Must be freshly harvested and immediately flash-frozen.	Blood must be thoroughly perfused from the tissue before harvesting to prevent serum protein contamination.
Small Molecules / Ligands	> 2 mg dry powder or 10 mM stock	Provide exact molecular weight and maximum solubility profiles in DMSO.	We meticulously design the assay so final DMSO concentration remains ≤ 0.1 - 1% during cell incubation.

Bioinformatics: The Key to Actionable Target ID

The sheer volume of data generated by a highly multiplexed proteome-wide thermal shift assay is staggering. The biggest fear for many drug discovery teams is receiving an enormous Excel spreadsheet filled with raw protein intensities and no clear biological context. Our dedicated chemoproteomics bioinformatics pipeline is built specifically to bridge this gap, transforming raw signals into actionable, high-confidence targets.

We do not rely on basic, linear statistical t-tests, which frequently fail to capture the complex dynamics of protein melting. Instead, we employ advanced Non-Parametric Analysis of Response Curves (NPARC). This sophisticated statistical modeling approach fits mathematical sigmoidal curves to both your control and treated datasets across the entire temperature gradient. By comparing the goodness-of-fit and calculating the exact area between the curves, our algorithms rigorously separate true ligand-induced stabilization events from random thermal artifacts or background noise.

Once the high-confidence protein hits are statistically validated and ranked by their ΔT_m shifts, we push the data through comprehensive Pathway Enrichment Mapping. We cross-reference your stabilized proteins against global biological databases (such as KEGG, GO, and Reactome). This reveals whether your drug is selectively targeting a specific signaling cascade, providing profound insights into the compound's broader Mechanism of Action (MoA) and potential phenotypic consequences.

Case Study: Advances in Thermal Proteome Profiling

Experimental and data analysis advances in thermal proteome profiling. https://www.cell.com/cell-reports-methods/fulltext/S2667-2375(24)00032-8

Background

Thermal proteome profiling has revolutionized label-free target discovery, allowing researchers to observe drug-protein interactions in their native cellular context. However, scaling the technology to the full proteome level relies heavily on robust data processing. As datasets grow larger and more complex, extracting true target engagement signals from the noisy background of a living cell requires highly optimized experimental designs and advanced statistical models.

Methods

Researchers in a comprehensive study reviewed and implemented advanced experimental setups alongside sophisticated computational data analysis workflows for TPP. In the study's protocol, intact cells were treated with target compounds, subjected to precise thermal gradients, gently lysed, and analyzed via highly multiplexed mass spectrometry. The most crucial step of the methodology involved moving away from basic data processing and instead utilizing refined bioinformatics algorithms to mathematically fit melting curves and calculate statistical significance using non-parametric analysis of response curves (NPARC).

Results

As clearly detailed and conceptualized in Figure 1 of the published research, the advanced computational workflow successfully transformed raw, noisy mass spectrometry abundance data into highly reliable, classic sigmoidal melting curves. The sophisticated algorithms effectively differentiated true drug-protein interactions from random thermal artifacts. This allowed the researchers to identify both primary therapeutic targets and novel off-target interactions with exceptionally high statistical confidence across the entire proteome.

Conclusion

This study proves that employing rigorous, state-of-the-art data analysis pipelines is mandatory for successful thermal shift proteomics. Advanced curve fitting and NPARC statistics ensure that researchers receive actionable, high-confidence target maps rather than noisy, uninterpretable data dumps, directly supporting confident lead optimization and compound de-risking.

Experimental and data analysis workflows for Thermal Proteome Profiling

Advanced experimental and computational workflows for Thermal Proteome Profiling (TPP).

FAQ

Frequently Asked Questions (FAQ)

Q: Do I need to modify my compound with a biotin or alkyne tag for this assay?

No. Thermal Shift Proteomics is a completely label-free technology. We rely solely on the biophysical stabilization that occurs naturally when your unmodified drug binds to its target. This guarantees that we are measuring the true, native binding affinity without altering the compound's cell permeability or spatial properties.

Q: Can you perform thermal shift proteomics on challenging targets like membrane proteins?

Yes. While membrane proteins are historically difficult to analyze due to their hydrophobicity, we employ heavily optimized, mild extraction buffers applied after the thermal challenge. This allows us to successfully extract and quantify melting curves for a wide array of integral membrane proteins, receptors, and transporters.

Q: What is the difference between CETSA and TPP?

Fundamentally, they utilize the exact same biophysical principle of ligand-induced thermal stabilization. Historically, CETSA (Cellular Thermal Shift Assay) was developed using Western Blots to look at one or two specific, pre-determined proteins. TPP (Thermal Proteome Profiling) is the modern, mass spectrometry-based evolution of CETSA, allowing us to monitor thousands of proteins simultaneously in an unbiased, proteome-wide manner.

References

Disclaimer: All services and products provided by Creative Proteomics are for Research Use Only (RUO) and are not intended for use in diagnostic procedures or clinical treatments.

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