Stop guessing which pathway is driving your phenotype
A 15-minute technical fit assessment for research teams
(Europe and the US).
Map 400+ kinase activity from 20 µL lysate — designed for real lab decision-making
✓ Mechanism-of-action & pathway mapping in one run✓ Reduce fishing antibodies & stacking assays✓ Clear figures for your next lab meeting and manuscript draft✓ Helps choose the next experiment with confidence
No hype, no demo theatre—just a technical fit assessment.If it’s not a fit, we’ll tell you quickly.
What kinome profiling measures
Kinome profiling measures the activity across all 400+ major signaling kinases, producing pathway-level signatures from small sample input.
Evidence and adoption
Trusted by cancer biology, immunology, and human disease labs (EU/US)
600+ publications (high-impact selection below)
Nature Medicine (Impact Factor: 82)
• 2008 - Jinnin M, Medici D, Park L, et al. Suppressed NFAT-dependent VEGFR1 expression and constitutive VEGFR2 signaling in infantile hemangioma. Nat Med. 2008.Nature (Impact Factor: 50)
• 2025 - Raymond JH, Aktary Z, Pouteaux M, et al. Targeting GRPR for sex hormone-dependent cancer after loss of E-cadherin. Nature. 2025.Cell Research (Impact Factor: 46)
• 2022 - Ruck T, Lichtenberg S, Pfeuffer S, et al. K2P18.1 translates T cell receptor signals into thymic regulatory T cell development. Cell Res. 2022.Immunity (Impact Factor: 43)
• 2018 - Daniel B, Nagy G, Hah N, et al. The nuclear receptor PPARγ controls progressive macrophage polarization as a ligand-insensitive epigenomic ratchet of transcriptional memory. Immunity. 2018.Nature Genetics (Impact Factor: 41)
• 2019 - Flaherty E, Zhu S, Barretto N, et al. Neuronal impact of patient-specific aberrant NRXN1α splicing. Nat Genet. 2019.
• 2019 - Schrode N, Ho SM, Yamamuro K, et al. Synergistic effects of common schizophrenia risk variants. Nat Genet. 2019.Blood (Impact Factor: 21)
• 2023 - Ries F, Klein M, Lindhauer NS, et al. Characterization of TREM-1 signaling in human neutrophils by kinome array and RNA-seq. Blood. 2023.Nature Cancer (Impact Factor: 23)
• 2024 - Vinnakota JM, Biavasco F, Schwabenland M, et al. Targeting TGFβ-activated kinase-1 activation in microglia reduces CAR T immune effector cell-associated neurotoxicity syndrome. Nat Cancer. 2024.Nature Metabolism (Impact Factor: 20)
• 2025 - Angelino E, et al. Impaired cAMP–PKA–CREB1 signalling drives mitochondrial dysfunction in skeletal muscle during cancer cachexia. Nat Metab. 2025.
• 2021 - Duquenne M, Folgueira C, Bourouh C, et al. Leptin brain entry via a tanycytic LepR–EGFR shuttle controls lipid metabolism and pancreas function. Nat Metab. 2021.
In researchers' own words
Frequently-asked questions
"Do we need to purchase an instrument?"
No. We offer a kit-based model: you only purchase the kits used for your samples.
"What do I get from the project fit call?"
A pilot answers three questions:✓ Technical fit (sample type, extraction, input)
✓ Operational fit (throughput, turnaround, workflow)
✓ Use-case fit (MoA, pathway mapping, perturbation response, cross-lab comparability)
No hype, no demo theatre—just a technical fit assessment.If it’s not a fit, we’ll tell you quickly.
"What sample types work best?"
✓ Kinome profiling works best when you have cell or tissue lysates. Common fits include human cell lines, primary cells, organoids, and animal tissues (Drosophila, mice, etc.).✓ Our kit preserves kinase activity in your lysates, so you don't have to worry about sample quality.✓ If you’re unsure, the pilot discussion is used to confirm compatibility before you invest time.
"What are top 3 reasons this is not a fit?"
Common reasons include:1. Working on prokaryotic species (bacteria, archaea, etc.) without any human or eukaryotic context2. Working on physical properties of a single isolated protein (structural biology, in vitro modeling)3. A question that requires single-cell resolution (not pathway-level activity)The pilot discussion is designed to confirm this early.
"How does this complement RNAseq, flow, or Western blots?"
• RNA-seq measures expression. Kinome profiling measures activity (phosphorylation-driven signaling).• Flow cytometry measures phenotype. Kinome profiling helps explain which pathways drive the phenotype.• Western blots validate a few hypotheses. Kinome profiling helps you find which pathways to validate—and reduces antibody fishing.More details in the table below:
"What do I need to prepare before booking?"
• Rough sample type (cells/tissue)• Model system (human/mouse/organoid)• Your question (mechanism/pathway mapping/perturbation response)• What you currently measure (WB/flow/RNAseq)
"What does success look like in a pilot?"
• Reproducibility across your repeats• Clear pathway acitvation• Interpretable figures• Actionable next experiment
Book a Kinome Profiling Pilot Discussion
No hype, no demo theatre—just a technical fit assessment.If it’s not a fit, we’ll tell you quickly.