Stemness Markers
Stemness Markers - Related Videos
11:39
Identifying Cell Surface Markers of Primary Neural Stem and Progenitor Cells by Metabolic Labeling of Sialoglycan
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Cited by 1 •
2019
Presented here is a protocol that combines an in vitro neural-endothelial co-culture system and metabolic incorporation of sialoglycan with bioorthogonal functional groups to expand primary neural stem and progenitor cells and label their surface sialoglycoproteins for imaging or mass-spectrometry analysis of cell surface markers.
22:06
Derivation of Hematopoietic Stem Cells from Murine Embryonic Stem Cells
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Cited by 7 •
2007
This protocol details the derivation of transplantable hematopoietic stem cells from mouse embryonic stem cells (ESC) and their subsequent injection into lethally irradiated recipient mice. Briefly, ESC are differentiated as embryoid bodies, which are then infected with retroviral HoxB4 and co-cultured with OP9 stromal cells and hematopoietic cytokines.
11:13
Adenoviral Gene Therapy for Diabetic Keratopathy: Effects on Wound Healing and Stem Cell Marker Expression in Human Organ-cultured Corneas and Limbal Epithelial Cells
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Cited by 27 •
2016
An example of adenoviral gene therapy in the human diabetic organ-cultured corneas is presented towards the normalization of delayed wound healing and markedly reduced epithelial stem cell marker expression in these corneas. It also describes the optimization of this process in stem cell-enriched limbal epithelial cultures.
10:32
Enumeration of Neural Stem Cells Using Clonal Assays
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Cited by 5 •
2016
Neural stem cells (NSCs) refer to cells which can self-renew and differentiate into the three neural lineages. Here, we describe a protocol to determine NSC frequency in a given cell population using neurosphere formation and differentiation under clonal conditions.
07:49
Isolating Stem Cells from Soft Musculoskeletal Tissues
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Cited by 21 •
2010
Isolating adult stem cells from musculoskeletal soft tissues based on the cell's adherence speed to flask.
FAQs
No single marker universally captures stem-cell behavior because stemness can reflect several coordinated regulatory states. A panel combines transcription factors, surface proteins, and gene-expression patterns to provide a more informative profile. This broader assessment helps researchers distinguish stable self-renewal or developmental potential from a temporary cellular state and supports more reliable comparisons among cell populations.
Stemness is maintained through coordinated signaling and transcriptional control rather than through one isolated molecular feature. Signaling inputs can influence transcriptional regulators, while those regulators help preserve an undifferentiated state and developmental potential. Examining these linked patterns gives developmental biologists insight into how cells retain flexibility before tissue-specific differentiation begins.
Marker expression alone does not establish that a cell possesses the associated functional properties. Functional assays add evidence that complements molecular profiling, helping determine whether observed markers correspond to self-renewal capacity or developmental potential. This combination is especially useful for separating genuine stem-cell characteristics from transient expression states during characterization and reprogramming studies.
Researchers can compare marker profiles at different stages as cells move from an undifferentiated condition toward specialized lineages. Changes in transcription factors, surface proteins, or gene-expression patterns can indicate whether stem-associated features are being maintained or reduced. Pairing these observations with functional assays helps clarify the extent of differentiation and the timing of lineage commitment during tissue formation.
Marker panels provide a framework for characterizing these cell categories without assuming that one feature applies universally. Researchers examine molecular patterns alongside functional evidence to assess self-renewal and developmental potential in each population. Such comparisons can reveal whether cells generated through induction resemble intended stem-cell states and can support studies of cellular reprogramming and disease modeling.
In developmental biology, these markers help connect cellular states with tissue formation, differentiation, and lineage commitment. They can be used to characterize stem-cell populations, monitor changes as development proceeds, and evaluate cells produced by reprogramming. The resulting profiles support research on embryonic and adult stem cells, regenerative medicine, and models of disease-related developmental processes.