Lineage Progression
Lineage Progression - Related Videos
10:55
Live Imaging Followed by Single Cell Tracking to Monitor Cell Biology and the Lineage Progression of Multiple Neural Populations
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Cited by 12 •
2017
A robust protocol to monitor neural populations by time-lapse video-microscopy followed by software-based post-processing is described. This method represents a powerful tool to identify biological events in a selected population during live imaging experiments.
01:21
Lineage Commitment
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2023
Commitment is the process whereby stem cells: lose their ability to form all cell types and irreversibly change into a specific type. The multipotent hematopoietic stem cells, (HSCs), differentiate into the multipotent hematopoietic progenitor cells, (HPCs). The HPCs express many lineage-specific cytokine receptors. Each of these receptors binds specific cytokines, activates distinct signaling pathways, and expresses a particular gene set. The HPCs further differentiate to form committed...
07:35
Lineage Labeling of Zebrafish Cells with Laser Uncagable Fluorescein Dextran
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Cited by 8 •
2011
This protocol delineates a way to label and trace the fate of small groups of cells zebrafish embryos using UV-uncaging of caged fluorescein, followed by whole mount immunolabeling to amplify the signal from the uncaged fluorescein.
06:30
Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM
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Cited by 2 •
2017
Here, we present a protocol for a mosaic labeling technique that permits the visualization of neurons derived from a common progenitor cell in two distinct colors. This facilitates neural lineage analysis with the capability of birth-dating individual neurons and studying gene function in the same neurons of different individuals.
02:07
Tumor Progression
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2023
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages. Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
FAQs
Transcriptional programs establish which developmental genes are active, while extracellular signals provide environmental cues that influence cell fate. Together, they help guide neural progenitors toward neuronal or glial identities as cells move through specification, proliferation, migration, differentiation, and maturation. Examining both influences helps explain how distinct neural populations emerge within an organized nervous system.
The sequence of proliferation, migration, differentiation, and maturation links changes in cell state to the eventual organization of neural tissue. A cell’s position in this sequence provides context for interpreting its identity and behavior. Tracking these stages allows researchers to distinguish developing populations from mature neurons or glia and to examine how tissue structure is established and maintained.
Lineage-tracing follows relationships between an earlier cellular population and its descendants, whereas single-cell analysis characterizes individual developmental states and mature populations. Used together, these approaches can connect transient progenitor states with the neural cells that emerge from them. This combined perspective helps researchers construct more detailed maps of developmental trajectories and cell identity.
Changes in the normal progression of neural cells may affect fate specification, migration, differentiation, or maturation, potentially altering the composition and organization of nervous tissue. Studying these changes provides a framework for identifying developmental disruptions associated with neurological disease. The same approach can assess how neural cells respond after injury or following experimental manipulation.
In neuroscience, researchers examine lineage progression to map nervous system development, relate progenitor states to mature neural populations, and study how tissues maintain their organization. The approach also supports investigations of neurological disease, injury responses, and experimentally induced changes. These applications make cellular progression a useful framework for connecting developmental events with neural structure and function.
Researchers can examine multiple stages, from progenitor states through mature neuronal or glial populations, and compare the associated cellular identities. Lineage-tracing provides information about ancestry, while single-cell analysis distinguishes states within a population. Considering these data across the progression helps reveal how cells change over time rather than treating each developmental stage as an isolated category.