Cancer Stem Cell Proteomic Profiling Service

Creative Biolabs bridges high-throughput proteomics and drug development by mapping the functional effectors that define the cancer stem cell (CSC) phenotype. While transcriptomics may miss dynamic shifts, our service identifies "master regulators" like integrin β and midasin that sustain self-renewal under therapeutic stress. We prioritize candidates for antibody drug conjugates (ADCs), CAR-T, and small molecules by highlighting proteins with high tumor-to-normal specificity. Our high-fidelity maps pinpoint the root causes of metastasis, ensuring your therapeutic targets possess the biological validation required for clinical success.

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The Functional Landscape of CSC Biology

CSCs are the primary drivers of tumor metastasis, immune evasion, and adaptive resistance. While genomic and transcriptomic studies provide a foundational map, they often fail to capture the functional reality of the cell, such as post-translational modifications and protein synthesis rewiring. Our deep proteomic analysis uncovers critical shifts in the riboproteome, specifically ribosome biogenesis mediated by midasin or integrin-linked signaling cascades. Published data confirms that therapeutic stress triggers a "stemness shift," where the proteome is reconfigured to sustain self-renewal in cytotoxic environments. By characterizing both the cellular and secretome-borne proteins, Creative Biolabs provides the biological context necessary to dismantle these survival networks.

Comprehensive Solutions for CSC Niche Profiling

To dismantle the multifaceted survival strategies of CSCs, Creative Biolabs offers an array of high-resolution proteomic solutions. We specialize in mapping the intricate intracellular signaling and extracellular communication networks that sustain the CSC niche, providing you with the granular data needed to intercept tumor progression.

Deep Phosphoproteomics

We provide high-resolution mapping of active signaling cascades, enabling the identification of phosphorylated "on-off" switches that drive CSC self-renewal and therapeutic escape across core pathways like Wnt, Notch, and Hedgehog.

Secretome & EV Profiling

Our platform captures and analyzes the complete secretome, identifying paracrine factors and extracellular vesicle (EV) cargo that modulate the pre-metastatic niche and facilitate intercellular communication within the tumor microenvironment.

Therapy-Induced Plasticity Mapping

We track proteomic rewiring following drug exposure, uncovering how CSCs adapt through ribosome biogenesis shifts or chaperone overexpression, such as midasin, to survive cytotoxic environments and drive disease relapse.

Single-Cell Protein Mapping

Utilizing high-sensitivity nano-LC platforms, we deliver unparalleled resolution of intra-tumoral heterogeneity, identifying rare, drug-resistant CSC sub-clusters that are often missed by traditional bulk proteomic analysis methods.

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Workflow

Our standardized yet flexible workflow ensures that every project transitions from raw biological complexity to structured, actionable intelligence. We prioritize the preservation of the native protein state to ensure that the signatures we identify are biologically relevant.

A simple procedure for cancer stem cell proteomic profiling service. (Creative Biolabs Original)

Publication

This study employs quantitative proteomics to compare letrozole-resistant breast cancer cells cultured as 3D mammospheres (enriched for CSCs) versus 2D monolayers. It identifies a dramatic 35-fold upregulation of the chaperone protein midasin, linking it to altered ribosomal protein expression and translation. High midasin expression correlates with decreased relapse-free survival in ER-negative patients, proposing it as a novel potential biomarker and contributor to endocrine resistance.

Fig.1 From enrichment analysis to visualization: Mapping downregulated ribosomal proteins in glioma. (OA Literature)Fig.1 Ribosomal pathway enrichment among downregulated proteins in glioma. 1

Why Choose Us?

Creative Biolabs integrates two decades of protein engineering expertise with single-cell mass spectrometry to deliver unmatched biological insights. We prioritize 3D biomimetic models over traditional 2D cultures, allowing us to identify critical resistance factors, such as ribosome-biogenesis chaperones, which are often lost in simplified systems. Our high-sensitivity platforms detect rare protein signatures from limited patient samples, pinpointing elusive metastatic progenitors. By correlating these findings with genomic and transcriptomic profiles through integrated multi-omics, we provide a holistic view of the tumor hierarchy, ensuring your drug targets are physiologically relevant and statistically robust.

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FAQs

What is the minimum cell count required for deep proteomics?

We generally require 1-5 million cells, but our high-sensitivity microfluidic capture and nano-LC platforms allow for analysis of smaller populations when necessary.

Can you distinguish between CSCs and healthy stem cells?

Yes, our comparative proteomics platform specifically filters for dysregulated proteins in malignant cells versus healthy regenerative counterparts to minimize off-target toxicity.

Does your service include secretome/EV analysis?

Absolutely. We offer specialized isolation and profiling for extracellular vesicles to map the CSC communication niche and identify liquid biopsy markers.

Customer Review

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How to Contact Creative Biolabs

Creative Biolabs offers an end-to-end solution for CSC research, from precision isolation and 3D modeling to high-depth proteomic mapping and bioinformatics. We empower your drug discovery by identifying the "untargetable" drivers of cancer recurrence.

For detailed project discussions and a customized proposal, please reach out to our scientific team.

Reference

  1. Gallegos, Karen M., et al. "Quantitative proteomic profiling identifies a potential novel chaperone marker in resistant breast cancer." Frontiers in Oncology 11 (2021): 540134. Distributed under Open Access license CC BY 4.0, without modification. https://doi.org/10.3389/fonc.2021.540134
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