Cd29 Cd44 Cd105
Cd29 Cd44 Cd105 - Related Videos
09:25
Establishment of Cancer Stem Cell Cultures from Human Conventional Osteosarcoma
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Cited by 16 •
2016
The presence of cancer stem cells (CSCs) in bone sarcomas has recently been linked to their pathogenesis. In this article, we present the isolation of CSCs from primary cell cultures obtained from human biopsies of conventional osteosarcoma (OS) using the ability of CSCs to grow under nonadherent conditions.
03:01
Immunocytochemistry-Based Imaging for Visualizing Pediatric Glioma Cell Migration
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2025
Source: Pericoli, G. et. al., Live-3D-Cell Immunocytochemistry Assays of Pediatric Diffuse Midline Glioma. J. Vis. Exp. (2021)This video demonstrates live cell imaging to observe pediatric diffuse midline glioma cell migration using immunohistochemical labeling with anti-CD44 antibodies.
10:47
Isolation and Cellular Phenotyping of Mesenchymal Stem Cells Derived from Synovial Fluid and Bone Marrow of Minipigs
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Cited by 5 •
2016
A protocol establishing mesenchymal stem cells (MSCs) isolated from the synovial fluid and bone marrow of minipigs and non-invasively collected using syringe aspiration is presented. Cellular phenotyping was performed using flow cytometry after cell isolation and in vitro cultivation of bone marrow and synovial fluids derived from MSCs.
11:28
Isolation and Characterization of a Head and Neck Squamous Cell Carcinoma Subpopulation Having Stem Cell Characteristics
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Cited by 15 •
2016
Understanding the role of cancer stem-like cells in tumor recurrence and resistance to therapies has become a topic of great interest in the last decade. This article describes the isolation and characterization of the sub-population of cancer stem-like cells from head and neck squamous carcinoma cell lines (HNSCC).
08:56
Kinetic Measurement and Real Time Visualization of Somatic Reprogramming
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Cited by 5 •
2016
The protocol presented in this study describes methods for the real-time monitoring of reprogramming progression via the kinetic measurement of positive and negative pluripotent stem cell markers using flow cytometry analysis. The protocol also includes the imaging-based assessment of morphology, and marker or reporter expression during iPSC generation.
FAQs
CD29, also known as integrin β1, provides information about how a cell interacts with extracellular-matrix proteins. In developmental samples, its presence can be considered alongside other markers when comparing populations with mesenchymal or progenitor-like properties. Differences in CD29-associated profiles may help relate cell-adhesion characteristics to variation in tissue organization or developmental state.
CD44 contributes information about hyaluronan-related interactions, cell attachment, migration, and signaling. These functions make its profile useful when researchers examine how developing cells move through or interact with their surrounding tissue environment. Comparing CD44 patterns among populations can help connect cell-surface phenotype with developmental behaviors involving attachment and migration.
CD105, or endoglin, acts as a co-receptor in transforming growth factor-β pathways. Its profile can therefore provide context for interpreting signaling-related differences among developing cell populations. Because the marker is also relevant to vascular development, examining CD105 alongside CD29 and CD44 can help connect stromal or progenitor-like phenotypes with tissue and vessel formation.
The three markers describe different aspects of cell behavior: extracellular-matrix interaction, hyaluronan-associated attachment and migration, and transforming growth factor-β-related signaling. Considering their combined pattern gives a broader phenotype than any single marker alone. This approach supports comparisons between developing populations and helps researchers relate surface characteristics to mesenchymal or progenitor-like properties.
Researchers can compare CD29, CD44, and CD105 profiles between populations or across developmental stages to assess changes during differentiation. The analysis does not rely only on one marker; instead, shifts across the panel can indicate that cell-surface phenotype is changing as cells acquire different properties. These comparisons help relate differentiation to developing tissue characteristics.
A marker-based study can first identify cell populations using their CD29, CD44, and CD105 profiles, then compare those populations in relation to mesenchymal or progenitor-like characteristics. Researchers can next assess how the profiles change during differentiation and interpret them alongside tissue-development outcomes. This workflow supports structured comparisons without treating one marker as sufficient on its own.
These profiles can be related to tissue formation, tissue repair, and vascular development. CD29 may provide context about extracellular-matrix interactions, CD44 about attachment and migration, and CD105 about transforming growth factor-β-related signaling. Together, the markers help researchers ask whether differences in cell-surface phenotype correspond to distinct developmental or tissue-forming behaviors.