Aldh High
Aldh High - Related Videos
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).
06:50
A High-Throughput Electrochemiluminescence 7-Plex Assay Simultaneously Screening for Type 1 Diabetes and Multiple Autoimmune Diseases
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Cited by 3 •
2020
We model a simple multiplexed ECL assay that combines 7 autoantibody assays together. The assay is capable of screening for T1D and multiple other autoimmune diseases, simultaneously, including celiac disease, autoimmune thyroid disease, and autoimmune polyglandular syndrome 1.
09:15
Electrochemiluminescence Assays for Human Islet Autoantibodies
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Cited by 8 •
2018
Here, we presented the methods to detect human islet autoantibodies using electrochemiluminescence (ECL) assays. The protocol, used to predict type 1 diabetes, can be expanded upon to detect autoantibodies for other autoimmune diseases.
10:37
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Cited by 15 •
2017
We present a protocol to accurately quantitate proteins with isobaric labelling, extensive fractionation, bioinformatics tools, and quality control steps in combination with liquid chromatography interfaced to a high-resolution mass spectrometer.
07:28
JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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Cited by 13 •
2021
We present a systems biology tool JUMPn to perform and visualize network analysis for quantitative proteomics data, with a detailed protocol including data pre-processing, co-expression clustering, pathway enrichment, and protein-protein interaction network analysis.
FAQs
The key biochemical consequence is conversion of reactive aldehydes into less-toxic carboxylic acids. This detoxification activity can help explain why ALDH-high status is informative in cell studies: it identifies populations with a measurable biochemical difference rather than relying only on morphology or a broad disease label. Investigators can then compare cellular states, disease features, or treatment responses.
Elevated ALDH activity can represent more than one biological state. In one context, it may reflect stronger aldehyde detoxification; in another, it may accompany a distinct stem or progenitor cell state. This distinction matters because an ALDH-high population should not automatically be treated as uniform. Researchers examine the surrounding cellular and disease context when interpreting its significance.
ALDH high is best treated as a measurable biomarker feature, not by itself as proof of a specific cell identity or clinical behavior. The measure can support studies of stem and progenitor populations, tumor heterogeneity, and treatment response, but its biological meaning may vary. Comparative interpretation and disease context are therefore essential when linking activity to mechanisms.
An assay-based workflow measures aldehyde dehydrogenase activity and distinguishes populations with comparatively stronger activity from those with lower activity. This classification can characterize samples rather than simply labeling an entire tissue. Because the readout reflects enzyme activity, researchers can compare ALDH-high and other populations in relation to cellular state, tumor features, or treatment response.
Investigators apply ALDH-high status to several linked questions: which cells show stem or progenitor characteristics, how tumors contain different cellular populations, and whether those populations differ in treatment response. These comparisons can inform biomarker development and patient stratification. The value lies in connecting a measurable cellular feature with clinically relevant variation, rather than assuming all cells behave alike.
Studies of cancer progression and therapeutic resistance use ALDH-high status to examine whether subpopulations are associated with differing disease behavior or responses to treatment. The measure can support research on patient stratification, but it does not by itself establish that elevated activity causes progression or resistance. Researchers therefore use it as one characterization feature within a broader investigation.