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CD44-Hyaluronan Interactions in Cell Adhesion
Research Guide

What is CD44-Hyaluronan Interactions in Cell Adhesion?

CD44-Hyaluronan Interactions in Cell Adhesion refer to the binding of CD44 glycoprotein isoforms to hyaluronan (HA) scaffolds that regulate cell migration, invasion, and signaling through Rho GTPases.

CD44 serves as a principal receptor for hyaluronan, influencing leukocyte trafficking, wound healing, and tumor metastasis (Lesley et al., 1993; 1072 citations). These interactions modulate extracellular matrix dynamics in cancer progression (Lu et al., 2012; 2932 citations). Over 10 key papers document HA-CD44 roles in immune regulation and disease (Jiang et al., 2011; 1028 citations).

Curated Papers

Key Challenges

Why It Matters

CD44-HA binding drives tumor cell invasion by remodeling extracellular matrix stiffness, as shown in breast cancer models (Lu et al., 2012). In immune responses, low-molecular-weight HA fragments via CD44 trigger inflammatory cytokine release from macrophages (Jiang et al., 2011). Therapeutic targeting of CD44-HA axis inhibits metastasis in hyaluronan-overexpressing tumors (Chen et al., 2018). These interactions influence clinical outcomes in fibrosis and cancer immunotherapy.

Key Research Challenges

Isoform-Specific Binding Variability

CD44 exists in multiple isoforms with varying HA affinity, complicating functional assignment (Lesley et al., 1993). Standardization of binding assays remains inconsistent across studies. This variability hinders predictive modeling of adhesion strength (Banerji et al., 1999).

Signaling Pathway Crosstalk

CD44-HA triggers Rho GTPase signaling intersecting with integrin pathways, yielding context-dependent outcomes (Turley et al., 2002). Dissecting primary vs. secondary signals requires advanced proteomics. Overlaps with LYVE-1 receptors add complexity in lymphatic contexts (Banerji et al., 1999).

Low-MW HA Fragment Effects

Fragmented HA binds CD44 differently than high-MW forms, activating distinct immune responses (Jiang et al., 2011). Quantifying fragment sizes in vivo remains technically challenging. Therapeutic implications for disease-specific HA degradation need validation (Varki, 2016).

Essential Papers

Biological roles of oligosaccharides: all of the theories are correct

Ajit Varki · 1993 · Glycobiology · 5.2K citations

Many different theories have been advanced concerning the biological roles of the oligosaccharide units of individual classes of glycoconjugates. Analysis of the evidence indicates that while all o...

The extracellular matrix: A dynamic niche in cancer progression

Pengfei Lu, Valerie M. Weaver, Zena Werb · 2012 · The Journal of Cell Biology · 2.9K citations

The local microenvironment, or niche, of a cancer cell plays important roles in cancer development. A major component of the niche is the extracellular matrix (ECM), a complex network of macromolec...

Biological roles of glycans

Ajit Varki · 2016 · Glycobiology · 2.5K citations

Simple and complex carbohydrates (glycans) have long been known to play major metabolic, structural and physical roles in biological systems. Targeted microbial binding to host glycans has also bee...

LYVE-1, a New Homologue of the CD44 Glycoprotein, Is a Lymph-specific Receptor for Hyaluronan

Suneale Banerji, Jian Ni, Shuxia Wang et al. · 1999 · The Journal of Cell Biology · 1.6K citations

The extracellular matrix glycosaminoglycan hyaluronan (HA) is an abundant component of skin and mesenchymal tissues where it facilitates cell migration during wound healing, inflammation, and em- b...

The biology and role of CD44 in cancer progression: therapeutic implications

Chen Chen, Shujie Zhao, Anand B. Karnad et al. · 2018 · Journal of Hematology & Oncology · 1.4K citations

CD44 and Its Interaction with Extracellular Matrix

Jayne Lesley, Robert Hyman, P W Kincade · 1993 · Advances in immunology · 1.1K citations

Hyaluronan as an Immune Regulator in Human Diseases

Dianhua Jiang, Jiurong Liang, Paul W. Noble · 2011 · Physiological Reviews · 1.0K citations

Accumulation and turnover of extracellular matrix components are the hallmarks of tissue injury. Fragmented hyaluronan stimulates the expression of inflammatory genes by a variety of immune cells a...

Reading Guide

Foundational Papers

Start with Lesley et al. (1993; 1072 citations) for core CD44-ECM binding mechanisms, then Varki (1993; 5167 citations) for glycan roles context, followed by Banerji et al. (1999; 1575 citations) on HA receptors.

Recent Advances

Study Chen et al. (2018; 1371 citations) for cancer therapeutics, Karamanos et al. (2021; 921 citations) for ECM composition updates, building on Lu et al. (2012).

Core Methods

HA-binding assays, Rho GTPase activation via pull-downs (Turley et al., 2002), isoform expression via qPCR, and matrigel invasion assays quantify adhesion (Lesley et al., 1993). ECM stiffness measurements use traction force microscopy (Lu et al., 2012).

How PapersFlow Helps You Research CD44-Hyaluronan Interactions in Cell Adhesion

Discover & Search

PapersFlow's Research Agent uses searchPapers with query 'CD44 hyaluronan cell adhesion Rho GTPases' to retrieve Lesley et al. (1993) and 50+ related papers, then citationGraph maps forward citations to Chen et al. (2018) for metastasis links, while findSimilarPapers expands to LYVE-1 homologues from Banerji et al. (1999). exaSearch semantic search uncovers niche papers on isoform binding.

Analyze & Verify

Analysis Agent applies readPaperContent to extract HA binding affinities from Lesley et al. (1993), verifies claims with CoVe against Varki (1993; 5167 citations), and runs PythonAnalysis to plot citation trends or quantify Rho GTPase mentions across Jiang et al. (2011) abstracts using pandas. GRADE grading scores evidence strength for therapeutic claims in Chen et al. (2018).

Synthesize & Write

Synthesis Agent detects gaps in isoform-specific signaling data between Lesley et al. (1993) and recent works like Karamanos et al. (2021), flags contradictions in HA fragment effects (Jiang et al., 2011 vs. Varki, 2016), then Writing Agent uses latexEditText for figure legends, latexSyncCitations to integrate 20+ refs, and latexCompile for a review manuscript. exportMermaid generates signaling pathway diagrams from Turley et al. (2002).

Use Cases

"Analyze Rho GTPase signaling from CD44-HA in tumor invasion models"

Research Agent → searchPapers 'CD44 HA Rho GTPases invasion' → Analysis Agent → readPaperContent (Lu et al., 2012) → runPythonAnalysis (networkx graph of pathways) → outputs interactive pathway graph with stats.

"Draft LaTeX review on CD44 isoforms in metastasis"

Synthesis Agent → gap detection (Lesley 1993 vs. Chen 2018) → Writing Agent → latexEditText (add sections) → latexSyncCitations (25 papers) → latexCompile → outputs compiled PDF with figures.

"Find code for CD44-HA binding simulations"

Research Agent → paperExtractUrls (Turley 2002) → Code Discovery → paperFindGithubRepo → githubRepoInspect → outputs Python scripts for molecular dynamics sims with usage examples.

Automated Workflows

Deep Research workflow conducts systematic review: searchPapers (100+ on CD44-HA) → citationGraph → DeepScan (7-step verify on Lesley 1993 claims) → structured report with GRADE scores. Theorizer generates hypotheses on isoform roles in fibrosis from Jiang et al. (2011) + Karamanos et al. (2021), outputting testable predictions. DeepScan analyzes ECM-cancer links with CoVe checkpoints on Lu et al. (2012).

Try Doxa for CD44-Hyaluronan Interactions in Cell Adhesion Research

Frequently Asked Questions

What defines CD44-HA interactions?

CD44 glycoprotein binds hyaluronan scaffolds to mediate cell adhesion, migration via Rho GTPases (Lesley et al., 1993). Isoforms vary in HA affinity influencing invasion.

What methods study these interactions?

Binding assays, Rho GTPase pull-downs, and ECM remodeling models assess CD44-HA functions (Turley et al., 2002; Banerji et al., 1999). Live-cell imaging tracks migration.

What are key papers?

Lesley et al. (1993; 1072 citations) details CD44-ECM interactions; Lu et al. (2012; 2932 citations) covers ECM in cancer; Chen et al. (2018; 1371 citations) discusses therapeutic roles.

What open problems exist?

Quantifying isoform-specific signaling in vivo and fragment-HA effects on immunity remain unresolved (Jiang et al., 2011; Varki, 2016). Predictive models for metastasis need validation.