Lineage-specific Markers
Lineage-specific Markers - Related Videos
13:26
Visualization and Quantification of Mesenchymal Cell Adipogenic Differentiation Potential with a Lineage Specific Marker
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Cited by 15 •
2018
Traditional methods of assessing adipogenic differentiation are cheap and easy to use, but are not specific to changes in gene expression. We have developed an assay to quantify mesenchymal cell differentiation into mature adipocytes using a lineage specific marker. This assay has diverse applications across basic research and clinical medicine.
10:56
Co-localization of Cell Lineage Markers and the Tomato Signal
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Cited by 18 •
2016
We developed two sets of tracing combinations in Rosa26tdtomato (ubiquitously expressed in all cells)/Cre (specifically expressed in chondrocytes) mice: one with 2.3Col1a1-GFP (specific to osteoblasts) and one with immunofluorescence (specific to bone cells). The data demonstrate the direct transformation of chondrocytes into bone cells.
14:46
Efficient Generation of hiPSC Neural Lineage Specific Knockin Reporters Using the CRISPR/Cas9 and Cas9 Double Nickase System
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Cited by 5 •
2015
Genome editing tools such as the CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats)/Cas (CRISPR-associated) system have greatly improved gene targeting efficiency in human induced pluripotent stem cells (hiPSCs). This manuscript describes a protocol for generating lineage specific hiPSC reporter using CRISPR/Cas system assisted homologous recombination.
07:58
Quantitative Imaging of Lineage-specific Toll-like Receptor-mediated Signaling in Monocytes and Dendritic Cells from Small Samples of Human Blood
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Cited by 12 •
2012
We describe use of ImageStream technology (www.amnis.com), which combines quantitative flow cytometry with simultaneous high-resolution digital imaging, to quantify cellular mechanisms of primary immune cells from well-defined patient cohorts. Our studies provide a blueprint for translational investigations to quantify lineage specific cellular responses in small samples from subject cohorts.
06:36
Extraction, Labeling, and Purification of Lineage-Specific Cells from Human Antral Follicles
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2022
Here, we present protocols for the identification and purification of ovarian cells from antral follicles. We elaborate on methods for processing whole ovaries for the cryopreservation of cortical strips while also harvesting intact antral follicles that are treated enzymatically to liberate multiple follicle resident cell types, including granulosa, theca, endothelial, hematopoietic, and stromal cells.
FAQs
Expression changes as progenitor cells differentiate, and those changes provide the biological basis for assigning cells to a lineage. Some markers reflect specialized functions that persist after differentiation, whereas others indicate an earlier developmental state. Measuring these patterns helps researchers follow shifts in cell identity and fate rather than relying only on a cell’s appearance.
A single feature may not uniquely define a lineage, so it can produce ambiguous assignments when different cell populations share it. A marker panel combines several proteins, transcripts, or surface antigens to create a more distinctive profile. This improves confidence when distinguishing related populations and supports more reliable identification of cells undergoing differentiation.
Proteins, transcripts, and surface antigens capture different molecular readouts of cell state. Protein and antigen measurements can reveal characteristic features at the cell level, while transcript measurements examine gene-expression patterns associated with a lineage. Using one or more of these readouts allows researchers to identify, compare, or follow cell populations during developmental and cellular studies.
A practical workflow begins by choosing a marker panel suited to the lineage question, then measuring the selected proteins, transcripts, or surface antigens with immunostaining, flow cytometry, or gene-expression analysis. Researchers interpret the resulting profile to track differentiation, assess cell identity and fate, or isolate a population for further study.
These markers support investigations across embryogenesis, stem cell biology, tissue regeneration, disease progression, and cancer. In developmental studies, they help follow relationships among cell populations and changing fates. In regeneration and disease research, marker patterns help characterize differentiated populations and evaluate how cellular identity changes across biological or pathological contexts.
Comparing marker profiles allows researchers to examine relationships among cells with different developmental states or lineage assignments. The same strategy can characterize populations during disease progression and cancer, where distinguishing cellular identities is important for interpreting tissue changes. Combining several markers provides a more informative profile than relying on one shared feature alone.