Search PubMedSearch

PubMed · 42332332

Interaction between CD82 and integrin αVβ3 selectively regulates collective movement of tumor cells via endolysosomal trafficking.

Abstract

Tetraspanin CD82/KAI1 inhibits cell movement and metastasis of malignant tumors, and reduced and lost expressions of CD82 predict worse outcomes of patients with malignant tumors. Here we found that CD82 inhibits both solitary and collective movement of tumor cells. The CD82 YVAA mutation, which affects CD82 trafficking, selectively abrogates CD82-mediated inhibition of collective migration. Cilengitide, at the concentration that specifically inhibits integrin αVβ3, also selectively blocks collective movement, underscoring a promotive role of integrin αVβ3 in this mode of cell motility. In contrast, integrin αVβ5 appears non-essential for collective migration, and both αVβ3 and αVβ5 are dispensable for solitary movement on fibronectin, highlighting distinct functions of different integrins in different modes of tumor cell movement. CD82 interacts with αVβ3 and αVβ5 integrins and downregulates their protein levels, while CD82 YVAA mutation relinquishes this downregulation without disrupting CD82 interactions with these integrins. Mechanistically, CD82, but not the YVAA mutant, considerably reduces digitation junction-the structure where integrin αVβ3 localizes-and likely directs integrin αVβ3 for lysosomal degradation, thereby lowering its level and suppressing collective migration. Thus, our study reveals that i) integrin αVβ3 promotes collective movement of tumor cells, ii) CD82 counteracts this by diminishing integrin αVβ3 and its presence in microextrusions, and iii) digitation junction likely participates in collective cell movement. Our study further demonstrates that endolysosomal trafficking of CD82 and integrin αVβ3 is needed for their collective movement-regulatory activities and that coupling of metastasis suppressor CD82/KAI1 with different partners regulates different modes of cell movement.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Xue Jun Wang, Mekel M Richardson, Yingjun Ding, Chao Jiang, Songlan Liu, Bin Zhou, Shuping Li, Junxiong Chen, Eric Rubinstein, Franklin A Hays, Kamiya Mehla, Xin A Zhang. 2026-06-22. Interaction between CD82 and integrin αVβ3 selectively regulates collective movement of tumor cells via endolysosomal trafficking.. https://doi.org/10.1007/s00018-026-06303-0

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans